Research
P1 Publications
CoRR 2024
Multimodality Helps Few-Shot 3D Point Cloud Semantic Segmentation
Zhaochong An, Guolei Sun, Yun Liu, Runjia Li, Min Wu, Ming-Ming Cheng, Ender Konukoglu, Serge Belongie
CoRR 2024
Measuring and Benchmarking Large Language Models’ Capabilities to Generate Persuasive Language
Amalie B. Pauli, Isabelle Augenstein, Ira Assent
CoRR 2024
Investigating Human Values in Online Communities
Nadav Borenstein, Arnav Arora, Lucie-Aimée Kaffee, Isabelle Augenstein
CoRR 2025
Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model
Zhaochong An, Guolei Sun, Yun Liu, Runjia Li, Junlin Han, Ender Konukoglu, Serge Belongie
CoRR 2025
Can Community Notes Replace Professional Fact-Checkers?
Nadav Borenstein, Greta Warren, Desmond Elliott, Isabelle Augenstein
Post-hoc XAI method for Visual Question Answering(VQA)
Satya M. Muddamsetty, Alina B. Schmidt, Thomas B. Moeslund
Neural Processing Letters
Harborfront Anomaly Detection
Jacob V. Dueholm, Mia Siemon, Radu T. Ionescu, Thomas B. Moeslund, Kamal Nasrollahi
Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL)
NEMt: Fast Targeted Explanations for Medical Image Models via Neural Explanation Masks
Bjørn L. Møller, Sepideh Amiri, Christian Igel, Kristoffer K. Wickstrøm, Robert Jenssen, Matthias Keicher, Mohammad F. Azampour, Nassir Navab, Bulat Ibragimov
WSDM '25: Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining
Untapping the Power of Indirect Relationships in Entity Summarization
Atefeh Moradan, Mohammad Sorkhpar, Atsushi Miyauchi, Davide Mottin, Ira Assent
Nature Human Behaviour
Academic mentees thrive in big groups, but survive in small groups
Yanmeng Xing, Yifang Ma, Ying Fan, Roberta Sinatra, An Zeng
CHIIR '25: Proceedings of the 2025 ACM SIGIR Conference on Human Information Interaction and Retrieval
Exploring the Zero-Shot Known-Item Retrieval Capabilities of LLMs for Casual Leisure Information Needs
Toine Bogers, Maria Gäde, Mark Hall, Marijn Koolen, Vivien Petras, Mette Skov
CHI '25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
Show Me the Work: Fact-Checkers’ Requirements for Explainable Automated Fact-Checking
Greta Warren, Irina Shklovski, Isabelle Augenstein
Systematic Biology
Phylo2Vec: A Vector Representation for Binary Trees
Matthew J. Penn, Neil Scheidwasser, Mark P. Khurana, David A. Duchêne, Christl A. Donnelly, Samir Bhatt
CHI '25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
A Concept at Work: A Review of Motivations, Operationalizations, and Conclusions in VR Research about Presence
Cleo Xiao, Difeng Yu, Kasper Hornbæk, Joanna Bergström
CHI '25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
Tendon Vibration for Creating Movement Illusions in Virtual Reality
Mantas Cibulskis, Difeng Yu, Erik S. Mortensen, Waseem Hassan, Mark S. Christensen, Joanna Bergström
Nature Scientific Reports
Ultrasound can deliver chemical stimulants to the skin and modulate their perception
Tor-Salve Dalsgaard, Arpit Bhatia, Lei Gao, Ryuji Hirayama, Sriram Subramanian, Joanna Bergström, Kasper Hornbæk
CHI '25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
Deriving Selection Techniques for GUIs based on the Multiple Process Model
Difeng Yu, James Roberts, Kasper Hornbæk, Joanna Bergström
CHIIR '25: Proceedings of the 2025 ACM SIGIR Conference on Human Information Interaction and Retrieval
From Queries to Candidates: Exploring Search and Source Interaction Behavior of Recruiters
Toine Bogers, Mesut Kaya, Maria Gäde
Bulletin of Mathematical Biology
Bayesian Inference of Phylogenetic Distances: Revisiting the Eigenvalue Approach
Matthew J. Penn, Neil Scheidwasser, Christl A. Donnelly, David A. Duchêne, Samir Bhatt
International Journal of Computer Vision
Exploring Bidirectional Bounds for Minimax-Training of Energy-Based Models
Cong Geng, Jia Wang, Li Chen, Zhiyong Gao, Jes Frellsen, Søren Hauberg
CHI '25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
CreepyCoCreator? Investigating AI Representation Modes for 3D Object Co-Creation in Virtual Reality
Julian Rasch, Julia Töws, Teresa Hirzle, Florian Müller, Martin Schmitz
ICLR 2025
SweetBERT: exploring BERT-based models for IUPAC glycan nomenclature modeling
Irene Rubia-Rodríguez, Henrik Nielsen, Garry P. Gippert, Kristian Barrett, Bernard Henrissat, Ole Winther
Current Opinion in Structural Biology
Foundation models of protein sequences: A brief overview
Andreas Bjerregaard, Peter M. Groth, Søren Hauberg, Anders Krogh, Wouter Boomsma
ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
How Redundant Is the Transformer Stack in Speech Representation Models?
Teresa Dorszewski, Albert K. Jacobsen, Lenka Tětková, Lars K. Hansen
Verifying Machine Unlearning with Explainable AI
Àlex P. Vidal, Anders S. Johansen, Mohammad N. S. Jahromi, Sergio Escalera, Kamal Nasrollahi, Thomas B. Moeslund
The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making
Shujian Yu, Hongming Li, Sigurd Løkse, Robert Jenssen, José C. Príncipe
Association for Computational Linguistics
SynDARin: Synthesising Datasets for Automated Reasoning in Low-Resource Languages
Gayane Ghazaryan, Erik Arakelyan, Pasquale Minervini, Isabelle Augenstein
Proceedings of the AAAI Conference on Artificial Intelligence
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability
Kristoffer K. Wickstrøm, Thea Brüsch, Michael C. Kampffmeyer, Robert Jenssen
Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL)
PePR: Performance Per Resource Unit as a Metric to Promote Small-scale Deep Learning
Raghavendra Selvan, Bob Pepin, Christian Igel, Gabrielle Samuel, Erik B. Dam
Proceedings of the AAAI Conference on Artificial Intelligence
InteDisUX: intepretation-guided discriminative user-centric explanation for time series
Hung V. Tran, Zichi Zhang, Tuan D. Pham, Ngoc P. Doan, Anh-Tuan Hoang, Peixin Li, Hans Vandierendonck, Ira Assent, Thai S. Mai
Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL)
FreqRISE: Explaining time series using frequency masking
Thea Brüsch, Kristoffer K. Wickstrøm, Mikkel N. Schmidt, Tommy S. Alstrøm, Robert Jenssen
Association for Computational Linguistics
Evaluating Input Feature Explanations through a Unified Diagnostic Evaluation Framework
Jingyi Sun, Pepa Atanasova, Isabelle Augenstein
Bounding Boxes and Probabilistic Graphical Models
Mia Siemon, Thomas B. Moeslund, Barry Norton, Kamal Nasrollahi
Assessing the Efficacy of Classical and Deep Neuroimaging Biomarkers in Early Alzheimer’s Disease Diagnosis
Milla E. Nielsen, Mads Nielsen, Mostafa M. Ghazi
Transactions on Machine Learning Research (TMLR)
Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation
Dennis T. Ulmer, Christian Hardmeier, Jes Frellsen
MICCAI Workshop on Advancing Data Solutions 2024
AMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data for 3D-Native Segmentation
Asbjørn Munk, Jakob Ambsdorf, Sebastian Llambias, Mads Nielsen
ICLR 2024
An improved analysis of per-sample and per-update clipping in federated learning
Bo Li, Xiaowen Jiang, Mikkel N. Schmidt, Tommy S. Alstrøm, Sebastian U. Stich
38th Conference on Neural Information Processing Systems (NeurIPS 2024)
Challenges in Explaining Representational Similarity through Identifiability
Beatrix M. G. Nielsen, Luigi Gresele, Andrea Dittadi
38th Conference on Neural Information Processing Systems (NeurIPS 2024)
It’s All Relative: Relative Uncertainty in Latent Spaces using Relative Representations
Fabian Mager, Valentino Maiorca, Lars K. Hansen
Springer Nature
Medical Image Computing and Computer Assisted Intervention–MICCAI 2024 (Proceedings – Editor)
Marius G. Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel
Springer Nature
Ethics and Fairness in Medical Imaging (Proceedings – Editor)
Esther Puyol-Antón, Ghada Zamzmi, Aasa Feragen, Andrew P. King, Veronika Cheplygina, Melanie Ganz-Benjaminsen, Enzo Ferrante, Ben Glocker, Eike Petersen, John S. H. Baxter, Islem Rekik, Roy Eagleson
ICLR 2024
Masked Autoencoders with Multi-Window Local-Global Attention Are Better Audio Learners
Sarthak Yadav, Sergios Theodoridis, Lars K. Hansen, Zheng-Hua Tan
CHP Tech Policy Brief
Algorithmic Fairness: Learnings From a Case That Used AI For Decision Support
Vedran Sekara, Tess S. S. Thorsen, Roberta Sinatra
Association for Computational Linguistics
What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages
Nadav Borenstein, Anej Svete, Robin Chan, Josef Valvoda, Franz Nowak, Isabelle Augenstein, Eleanor Chodroff, Ryan Cotterell
ACM Transactions on Human-Robot Interaction
What is Proactive Human-Robot Interaction? – A Review of a Progressive Field and Its Definitions
Marike K. van Den Broek, Thomas B. Moeslund
Was the Nobel prize for physics? Yes — not that it matters
Michael Szell, Yifang Ma, Roberta Sinatra
Volumetric Disentanglement for 3D Scene Manipulation
Sagie Benaim, Frederik Warburg, Peter E. Christensen, Serge Belongie
CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems
Using the Visual Language of Comics to Alter Sensations in Augmented Reality
Arpit Bhatia, Henning Pohl, Teresa Hirzle, Hasti Seifi, Kasper Hornbæk
PLOS Digital Health
Using smartphones to study vaccination decisions in the wild
Nicolò A. Girardini, Arkadiusz Stopczynski, Olga Baranov, Cornelia Betsch, Dirk Brockmann, Sune Lehmann J., Robert Böhm
2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)
UPAR Challenge 2024: Pedestrian Attribute Recognition and Attribute-Based Person Retrieval – Dataset, Design, and Results
Mickael Cormier, Andreas Specker, Julio C. S. Jacques, Lennart Moritz, Jürgen Metzler, Thomas B. Moeslund
Unsupervised Detection of Fetal Brain Anomalies Using Denoising Diffusion Models
Markus D. S. Olsen, Jakob Ambsdorf, Manxi Lin, Caroline Taksøe-Vester, Morten B. S. Svendsen, Anders N. Christensen, Mads Nielsen, Martin G. Tolsgaard, Aasa Feragen, Paraskevas Pegios
HCI International 2024 Posters (HCII 2024)
Universal Hand Gesture Interaction Vocabulary for Cross-Cultural Users: Challenges and Approaches
Elizabete Munzlinger, Fabricio B. Narcizo, Dan W. Hansen, Ted Vucurevich
Computer Vision – ECCV 2024
Underwater Uncertainty: A Multi-Annotator Image Dataset for Benthic Habitat Classification
Galadrielle Humblot-Renaux, Anders S. Johansen, Jonathan E. Schmidt, Amanda F. Irlind, Niels Madsen, Thomas B. Moeslund, Malte Pedersen
Nature Scientific Reports
Understanding scholar-trajectories across scientific periodicals
Yangliu Fan, Anders Blok, Sune Lehmann J.
Nature Communications
Uncovering the heritable components of multimorbidities and disease trajectories using a nationwide cohort
David Westergaard, Frederik H. Jørgensen, Jens Waaben, Alexander W. Jung, Mette Lademann, Thomas F. Hansen, Jolien Cremers, Sisse R. Ostrowski, , , , , , , , , Ole B. V. Pedersen, Roc Reguant, Isabella F. Jørgensen, Tom Fitzgerald, Ewan Birney, Karina Banasik, Laust Mortensen, Søren Brunak
Uncertainty Driven Active Learning for Image Segmentation in Underwater Inspection
Luiza R. Marnet, Yury Brodskiy, Stella Grasshof, Andrzej Wąsowski
Nature Communications Earth & Environment
Trees on smallholder farms and forest restoration are critical for Rwanda to achieve net zero emissions
Maurice Mugabowindekwe, Martin Brandt, Athanase Mukuralinda, Philippe Ciais, Florian Reiner, Ankit Kariryaa, Christian Igel, Jérôme Chave, Ole Mertz, Pierre Hiernaux, Xiaoye Tong, Gaspard Rwanyiziri, Dimitri Gominski, Sizhuo Li, Siyu Liu, Ivan Gasangwa, Yves Hategekimana, Alain Ndoli, Jean Nduwamungu, Sassan Saatchi, Rasmus Fensholt
Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence
Towards Scalable Bayesian Transformers: Investigating stochastic subset selection for NLP
Peter J. T. Kampen, Gustav R. S. Als, Michael R. Andersen
Towards Digitisation of Technical Drawings in Architecture: Evaluation of CNN Classification on the Perdaw Dataset
Alexandru Filip, Stella Graßhof
Proceedings of The 27th International Conference on Artificial Intelligence and Statistics
Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model
Nikolaos Nakis, Abdulkadir Celikkanat, Louis Boucherie, Sune Lehmann J., Morten Mørup
New Journal of Physics
The spindle approximation of network epidemiological modeling
Jianhong Mou, Bitao Dai, Suoyi Tan, Petter Holme, Sune Lehmann J., Fredrik Liljeros, Xin Lu
WEBSCI '24: Proceedings of the 16th ACM Web Science Conference
The Role of Interface Design on Prompt-mediated Creativity in Generative AI
Maddalena Torricelli, Mauro Martino, Andrea Baronchelli, Luca M. Aiello
Proceedings of the 46th Annual Meeting of the Cognitive Science Society
The role of friendship in dynamic group coordination
Qianliang Li, Kyveli Kompatsiari, Aliaksandr Dabranau, Ivana Konvalinka
ICWSM '24: Proceedings of the 18th International AAAI Conference on Web and Social Media
The persuasive power of large language models
Simon M. Breum, Daniel V. Egdal, Victor G. Mortensen, Anders G. Møller, Luca M. Aiello
Association for Computational Linguistics
The Parrot Dilemma: Human-Labeled vs. LLM-augmented Data in Classification Tasks
Anders G. Møller, Arianna Pera, Jacob Dalsgaard, Luca M. Aiello
Advances in Complex Systems
The Opportunities, Limitations, and Challenges in Using Machine Learning Technologies for Humanitarian Work and Development
Vedran Sekara, Márton Karsai, Esteban Moro, Dohyung Kim, Enrique Delamonica, Manuel Cebrian, Miguel Luengo-Oroz, Rebeca M. Jiménez, Manuel Garcia-Herranz
CHIIR '24: Proceedings of the 2024 Conference on Human Information Interaction and Retrieval
The Impact of CHIIR Publications: A Study of Eight Years of CHIIR
Maria Gäde, Toine Bogers, Mark M. Hall, Marijn Koolen, Vivien Petras, Birger Larsen
The Effect of Training Dataset Size on Discriminative and Diffusion-Based Speech Enhancement Systems
Philippe Gonzalez, Zheng‐Hua Tan, Jan Østergaard, Jesper Jensen, Tommy S. Alstrøm, Tobias May
Chapman & Hall
The (Computer) Vision of Sports: Recent Trends in Research and Commercial Systems for Sport Analytics
Rikke Gade, Michele Merler, Graham Thomas, Thomas B. Moeslund
GeoForum
Teaching spatial data science
Ane R. Vierø, Michael Szell
Nature Communications
Taxometer: Improving taxonomic classification of metagenomics contigs
Svetlana Kutuzova, Mads Nielsen, Pau Piera, Jakob N. Nissen, Simon Rasmussen
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
T-DEED: Temporal-Discriminability Enhancer Encoder-Decoder for Precise Event Spotting in Sports Videos
Artur Xarles, Sergio Escalera, Thomas B. Moeslund, Albert Clapés
MMSports '24: Proceedings of the 7th ACM International Workshop on Multimedia Content Analysis in Sports
SynthNet: Leveraging Synthetic Data for 3D Trajectory Estimation from Monocular Video
Morten H. Ertner, Sofus S. Konglevoll, Magnus Ibh, Stella Graßhof
2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)
Swin on Axes: Extending Swin Transformers to Quadtree Image Representations
Thomas B. Moeslund
Danish Marine Science Meeting 2024
Sporing af spor efter fiskeri og spor af liv i sporene
Amanda F. Irlind, Alex Jørgensen, Karen A. Sønnichsen, Kim Pless-Schmidt, Nadieh de Jonge, , , , , Jeppe L. Nielsen, , , , , Thomas B. Moeslund, Christian Lønborg, Niels Madsen, Malte Pedersen, Jonathan E. Schmidt, Anders S. Johansen, Michael Ørsted
2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP)
Speed: Scalable Preprocessing of EEG Data for Self-Supervised Learning
Anders Gjølbye, Lina Skerath, William Lehn-Schiøler, Nicolas Langer, Lars K. Hansen
Speaker and Style Disentanglement of Speech Based on Contrastive Predictive Coding Supported Factorized Variational Autoencoder
Yuying Xie, Michael Kuhlmann, Frederik Rautenberg, Zheng-Hua Tan, Reinhold Haeb-Umbach
CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems
Spatial Gaze Markers: Supporting Effective Task Switching in Augmented Reality
Mathias N. Lystbæk, Ken Pfeuffer, Tobias Langlotz, Jens E. S. Grønbæk, Hans Gellersen
Social Bias Probing: Fairness Benchmarking for Language Models
Marta M. Manerba, Karolina Stańczak, Riccardo Guidotti, Isabelle Augenstein
SoccerNet 2023 challenges results (Review article)
Anthony Cioppa, Silvio Giancola, Vladimir Somers, Floriane Magera, Xin Zhou, Hassan Mkhallati, Adrien Deliège, Jan Held, Carlos Hinojosa, Amir M. Mansourian, Pierre Miralles, Olivier Barnich, Christophe De Vleeschouwer, Alexandre Alahi, Bernard Ghanem, Marc Van Droogenbroeck, Abdullah Kamal, Adrien Maglo, Albert Clapés, Amr Abdelaziz, Artur Xarles, Astrid Orcesi, Atom Scott, Bin Liu, Byoungkwon Lim, Chen Chen, Fabian Deuser, Feng Yan, Fufu Yu, Gal Shitrit, Guanshuo Wang, Gyusik Choi, Hankyul Kim, Hao Guo, Hasby Fahrudin, Hidenari Koguchi, Håkan Ardö, Ibrahim Salah, Ido Yerushalmy, Iftikar Muhammad, Ikuma Uchida, Ishay Be'ery, Jaonary Rabarisoa, Jeongae Lee, Jiajun Fu, Jianqin Yin, Jinghang Xu, Jongho Nang, Julien Denize, Junjie Li, Junpei Zhang, Juntae Kim, Kamil Synowiec, Kenji Kobayashi, Kexin Zhang, Konrad Habel, Kota Nakajima, Licheng Jiao, Lin Ma, Lizhi Wang, Luping Wang, Menglong Li, Mengying Zhou, Mohamed Nasr, Mohamed Abdelwahed, Mykola Liashuha, Nikolay Falaleev, Norbert Oswald, Qiong Jia, Quoc-Cuong Pham, Ran Song, Romain Hérault, Rui Peng, Ruilong Chen, Ruixuan Liu, Ruslan Baikulov, Ryuto Fukushima, Sergio Escalera, Seungcheon Lee, Shimin Chen, Shouhong Ding, Taiga Someya, Thomas B. Moeslund, Tianjiao Li, Wei Shen, Wei Zhang, Wei Li, Wei Dai, Weixin Luo, Wending Zhao, Wenjie Zhang, Xinquan Yang, Yanbiao Ma, Yeeun Joo, Yingsen Zeng, Yiyang Gan, Yongqiang Zhu, Yujie Zhong, Zheng Ruan, Zhiheng Li, Zhijian Huang, Ziyu Meng
CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems
Snap, Pursuit and Gain: Virtual Reality Viewport Control by Gaze
Hock S. Lee, Florian Weidner, Ludwig Sidenmark, Hans Gellersen
Proceedings of the 41st International Conference on Machine Learning
Smooth Min-Max Monotonic Networks
Christian Igel
Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis Using Slice Discovery Methods
Vincent Olesen, Nina Weng, Aasa Feragen, Eike Petersen
NeurIPS 2024
Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information
Marco Miani, Lorenzo Beretta, Søren Hauberg
Natural Language Processing Journal
SIDU-TXT: An XAI algorithm for NLP with a holistic assessment approach
Radu T. Ionescu, Kamal Nasrollahi, Fahad S. Khan, Thomas B. Moeslund
CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems
Sicknificant Steps: A Systematic Review and Meta-analysis of VR Sickness in Walking-based Locomotion for Virtual Reality
Thomas van Gemert, Niels C. Nilsson, Teresa Hirzle, Joanna Bergström
Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 (MICCAI 2024)
Shortcut learning in medical image segmentation
Manxi Lin, Nina Weng, Kamil Mikolaj, Zahra Bashir, Morten B. S. Svendsen, Martin G. Tolsgaard, Anders N. Christensen, Aasa Feragen
WEBSCI '24: Proceedings of the 16th ACM Web Science Conference
Shifting Climates: Climate Change Communication from YouTube to TikTok
Arianna Pera, Luca M. Aiello
Association for Computational Linguistics
Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models
Erik Arakelyan, Zhaoqi Liu, Isabelle Augenstein
2024 IEEE International Conference on Big Data (BigData)
Semantic grounding of LLMs using knowledge graphs for query reformulation in medical information retrieval
Antonela Tommasel, Ira Assent
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Self-supervised Pretraining for Robust Personalized Voice Activity Detection in Adverse Conditions
Holger S. Bovbjerg, Jesper Jensen, Jan Østergaard, Zheng-Hua Tan
Self-supervised masked convolutional transformer block for anomaly detection
Neelu Madan, Nicolae-Cătălin Ristea
Proceedings of the 46th Annual Meeting of the Cognitive Science Society
Self-other dynamics in spontaneous interpersonal synchronization.
Kyveli Kompatsiari, Marius Zimmermann, Aliaksandr Dabranau, Qianliang Li, Ivana Konvalinka
Ultrasound Obstet Gynecol
Role of artificial-intelligence-assisted automated cardiac biometrics in prenatal screening for coarctation of aorta
Caroline A. Taksøe-Vester, Kamil Mikolaj, Olav B. B. Petersen, Niels G. Vejlstrup, Anders N. Christensen, Aasa Feragen, Mads Nielsen, Morten B. S. Svendsen, Martin G. Tolsgaard
Association for Computational Linguistics
Revealing the Parametric Knowledge of Language Models: A Unified Framework for Attribution Methods
Haeun Yu, Pepa Atanasova, Isabelle Augenstein
Rethinking Few-shot 3D Point Cloud Semantic Segmentation
Zhaochong An, Guolei Sun, Yun Liu, Fayao Liu, Zongwei Wu, Dan Wang, Luc Van Gool, Serge Belongie
IEEE Transactions on Biomedical Engineering
Remote Tongue-based Control of a Wheelchair Mounted Assistive Robotic Manipulator and the Effect of Adaptive Semi-automation
Ásgerður Pálsdóttir, Rasmus L. Kæseler, Stefan H. Bengtson, Thomas B. Moeslund, Lotte N. S. A. Struijk
Association for Computational Linguistics
Re-evaluating the Need for Visual Signals in Unsupervised Grammar Induction
Boyi Li, Rodolfo Corona, Karttikeya Mangalam, Catherine Chen, Daniel Flaherty, Serge Belongie, Kilian Weinberger, Jitendra Malik, Trevor Darrell, Dan Klein
Quantifying White Matter Hyperintensity and Brain Volumes in Heterogeneous Clinical and Low-Field Portable MRI
Pablo Laso, Stefano Cerri, Annabel Sorby-Adams, Jennifer Guo, Farrah Mateen, Philipp Goebl, Jiaming Wu, Peirong Liu, Hongwei Li, Sean I. Young, Benjamin Billot, Oula Puonti, Gordon Sze, Sam Payabavash, Adam DeHavenon, Kevin N. Sheth, Matthew S. Rosen, John Kirsch, Nicola Strisciuglio, Jelmer M. Wolterink, Arman Eshaghi, Frederik Barkhof, W. Taylor Kimberly, Juan E. Iglesias
Bioinformatics
Predicting the subcellular location of prokaryotic proteins with DeepLocPro
Jaime Moreno, Henrik Nielsen, Ole Winther, Felix Teufel
CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems
Practice-informed Patterns for Organising Large Groups in Distributed Mixed Reality Collaboration
Emily Wong, Juan S. Esquivel, Jens E. Grønbæk, Germán Leiva, Eduardo Velloso
Playing With Neuroscience: Past, Present and Future of Neuroimaging and Games
Paolo Burelli, Laurits Dixen
PDA-RWSR: Pixel-Wise Degradation Adaptive Real-World Super-Resolution
Andreas Aakerberg, Majed El Helou, Kamal Nasrollahi, Thomas B. Moeslund
Proceedings of the 41st International Conference on Machine Learning
PAC-Bayesian Error Bound, via Rényi Divergence, for a Class of Linear Time-Invariant State-Space Models
Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihály Petreczky
Proceedings of the AAAI Conference on Artificial Intelligence
PAC-Bayes Generalisation Bounds for Dynamical Systems Including Stable RNNs
Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihály Petreczky
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
OpenTrench3D: A Photogrammetric 3D Point Cloud Dataset for Semantic Segmentation of Underground Utilities
Lasse H. Hansen, Simon B. Jensen, Mark P. Philipsen, Andreas Møgelmose, Lars Bodum, Thomas B. Moeslund
JMIR Formative Research
Nonrepresentativeness of Human Mobility Data and its Impact on Modeling Dynamics of the COVID-19 Pandemic: Systematic Evaluation
Chuchu Liu, Petter Holme, Sune Lehmann J., Wenchuan Yang, Xin Lu
Nonlinear MPC for Insulin Titration of Type 2 Diabetes
Joachim M. Midtgaard, Kasper Bruhn, Michael S. Jørgensen, Tristan G. Johnasen, Kasper K. Grønkjær, Faiyaz A. Ahmed, Mohamad A. Ahdab, John Leth
Non-Reference Quality Assessment for Medical Imaging: Application to Synthetic Brain MRIs
Karl Van E. Risager, Torkan Gholamalizadeh, Mostafa M. Ghazi
Nature Communications
Neuromorphic intermediate representation: A unified instruction set for interoperable brain-inspired computing
Jens E. Pedersen, Steven Abreu, Matthias Jobst, Gregor Lenz, Vittorio Fra, Felix C. Bauer, Dylan R. Muir, Peng Zhou, Bernhard Vogginger, Kade Heckel, Gianvito Urgese, Sadasivan Shankar, Terrence C. Stewart, Sadique Sheik, Jason K. Eshraghian
2024 18th International Workshop on Acoustic Signal Enhancement (IWAENC)
Near-End Listening Enhancement Using a Noise-Robust Linear Time-Invariant Filter
Filippo Villani, Wai-Yip Chan, Zheng-Hua Tan, Jan Østergaard, Jesper Jensen
Navigating Uncertainty in Medical Image Segmentation
Kilian Zepf, Jes Frellsen, Aasa Feragen
ICWSM '24: Proceedings of the 18th International AAAI Conference on Web and Social Media
Narratives of Collective Action in YouTube’s Discourse on Veganism
Arianna Pera, Luca M. Aiello
Data-centric Machine Learning Research (DMLR)
NAFlora-1M: Continental-Scale High-Resolution Fine-Grained Plant Classification Dataset
John Park, Riccardo de Lutio, Brendan Rappazzo, Barbara Ambrose, Fabian Michelangeli, Kimberly Watson, Serge Belongie, Damon Little
MMEarth: Exploring Multi-modal Pretext Tasks for Geospatial Representation Learning
Vishal Nedungadi, Ankit Kariryaa, Stefan Oehmcke, Serge Belongie, Christian Igel, Nico Lang
CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems
Metrics of Motor Learning for Analyzing Movement Mapping in Virtual Reality
Difeng Yu, Mantas Cibulskis, Erik S. Mortensen, Mark S. Christensen, Joanna Bergström
Proceedings of the 5th Northern Lights Deep Learning Conference (NLDL)
MDD-UNet: Domain Adaptation for Medical Image Segmentation with Theoretical Guarantees, a Proof of Concept
Asbjørn Munk, Ao Ma, Mads Nielsen
Expert Systems with Applications
LSNetv2: Improving weakly supervised power line detection with bipartite matching
Duy K. Tran, Van N. Nguyen, Davide Roverso, Robert Jenssen, Michael Kampffmeyer
NeurIPS 2024
LoQT: Low-Rank Adapters for Quantized Pretraining
Sebastian Loeschcke, Mads Toftrup, Michael J. Kastoryano, Serge Belongie, Vésteinn Snæbjarnarson
Proceedings of the 5th Northern Lights Deep Learning Conference (NLDL)
Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI
Jon Middleton, Marko Bauer, Kaining Sheng, Jacob Johansen, Mathias Perslev, Silvia Ingala, Mads Nielsen, Akshay Pai
Local Borsuk-Ulam, Stability, and Replicability
Zachary Chase, Bogdan Chornomaz, Shay Moran, Amir Yehudayoff
Association for Computational Linguistics
LLM Tropes: Revealing Fine-Grained Values and Opinions in Large Language Models
Dustin Wright, Arnav Arora, Nadav Borenstein, Srishti Yadav, Serge Belongie, Isabelle Augenstein
Pattern Recognition
Leveraging tensor kernels to reduce objective function mismatch in deep clustering
Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael Kampffmeyer
Learning Semantic Image Quality for Fetal Ultrasound from Noisy Ranking Annotation
Manxi Lin, Jakob Ambsdorf, Emilie P. F. Sejer, Zahra Bashir, Chun K. Wong, Paraskevas Pegios, Alberto Raheli, Morten B. S. Svendsen, Mads Nielsen, Martin G. Tolsgaard, Anders N. Christensen, Aasa Feragen
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2024 (MICCAI 2024)
Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification
Kilian Zepf, Selma Wanna, Marco Miani, Juston Moore, Jes Frellsen, Søren Hauberg, Frederik Warburg, Aasa Feragen
Labeled Data Selection for Category Discovery
Bingchen Zhao, Nico Lang, Serge Belongie, Oisin M. Aodha
Knowledge Graphs for Empirical Concept Retrieval
Lenka Tětková, Teresa K. Scheidt, Maria M. Fogh, Ellen M. G. Jørgensen, Finn Å. Nielsen, Lars K. Hansen
NeurIPS 2024
Kermut: Composite kernel regression for protein variant effects
Peter M. Groth, Mads H. Kerrn, Lars Olsen, Jesper Salomon, Wouter Boomsma
2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)
Joint Minimum Processing Beamforming and Near-end Listening Enhancement
Andreas J. Fuglsig, Jesper Jensen, Zheng-Hua Tan, Lars S. Bertelsen, Jens C. Lindof, Jan Østergaard
IEEE Access
Joint Far- and Near-end Speech and Listening Enhancement with Minimum Processing
Andreas J. Fuglsig, Zheng-Hua Tan, Lars S. Bertelsen, Jesper Jensen, Jens C. Lindof, Jan Østergaard
Association for Computational Linguistics
Investigating the Impact of Model Instability on Explanations and Uncertainty
Sara V. Marjanović, Isabelle Augenstein, Christina Lioma
IEEE Geoscience and Remote Sensing Letters
Interrogating Sea Ice Predictability With Gradients
Harald L. Joakimsen, Iver Martinsen, Luigi T. Luppino, Andrew McDonald, Scott Hosking, Robert Jenssen
Proceedings of the 41st International Conference on Machine Learning
Interpreting Equivariant Representations
Andreas A. Hansen, Anna Calissano, Aasa Feragen
DIS '24: Proceedings of the 2024 ACM Designing Interactive Systems Conference
Integrated Calculators: Moving Calculation into the World
Henning Pohl, Kasper Hornbæk
Proceedings of the 5th Northern Lights Deep Learning Conference (NLDL)
Instruction-guided deidentification with synthetic test cases for Norwegian clinical text
Jørgen A. Lund, Karl Ø. Mikalsen, Joel Burman, Ashenafi Z. Woldaregay, Robert Jenssen
Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 (MICCAI 2024)
Incorporating Clinical Guidelines Through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring
Tiantian Zhang, Manxi Lin, Hongda Guo, Xiaofan Zhang, Ka F. P. Chiu, Aasa Feragen, Qi Dou
Plos one
Image classification with symbolic hints using limited resources
Mikkel G. Jørgensen, Lenka Tětková, Lars K. Hansen
ELRA and ICCL
Ice and Fire: Dataset on Sentiment, Emotions, Toxicity, Sarcasm, Hate speech, Sympathy and More in Icelandic Blog Comments
Steinunn R. Friðriksdóttir, Annika Simonsen, Atli S. Ásmundsson, Guðrún L. Friðjónsdóttir, Anton K. Ingason, Vésteinn Snæbjarnarson, Hafsteinn Einarsson
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
HyperLeaf2024 – A Hyperspectral Imaging Dataset for Classification and Regression of Wheat Leaves
William M. Laprade, Pawel Pieta, Svetlana Kutuzova, Jesper C. Westergaard, Mads Nielsen, Svend Christensen, Anders B. Dahl
HUNIPU: Efficient Hungarian Algorithm on IPUs
Cheng Huang, Alexander M. Graphcore, Josef D. Graphcore, Davide Mottin, Ira Assent
How to train your ears: Auditory-model emulation for large-dynamic-range inputs and mild-to-severe hearing losses
Peter A. L. Bysted, Jesper Jensen, Zheng-Hua Tan, Jan Østergaard, Lars Bramsløw
Proceedings of the 5th Northern Lights Deep Learning Conference (NLDL)
Heterogeneous Learning for Brain Lesion Segmentation, Detection, and Classification
Sebastian N. Llambias, Mads Nielsen, Mostafa M. Ghazi
ACM Transactions on Computer-Human Interaction
HeadShift: Head Pointing with Dynamic Control-Display Gain
Haopeng Wang, Ludwig Sidenmark, Florian Weidner, Joshua Newn, Hans Gellersen
UIST '24: Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology
Hands-on, Hands-off: Gaze-Assisted Bimanual 3D Interaction
Mathias N. Lystbæk, Thorbjørn Mikkelsen, Roland Krisztandl, Eric J. Gonzalez, Mar Gonzalez-Franco, Hans Gellersen, Ken Pfeuffer
SUI '24: Proceedings of the 2024 ACM Symposium on Spatial User Interaction
Guiding Handrays in Virtual Reality: Comparison of Gaze-and Object-Based Assistive Raycast Redirection
Jenny Gabel, Susanne Schmidt, Ken Pfeuffer, Frank Steinicke
Geometry Fidelity for Spherical Images (Book chapter/contribution to anthology)
Anders Christensen, Nooshin Mojab, Khushman Patel, Karan Ahuja, Zeynep Akata, Ole Winther, Mar Gonzalez-Franco, Andrea Colaco
Nature Communications Physics
Generating fine-grained surrogate temporal networks
Antonio Longa, Giulia Cencetti, Sune Lehmann J., Andrea Passerini, Bruno Lepri
IEEE Signal Processing Letters
Generating Accurate and Diverse Audio Captions Through Variational Autoencoder Framework
Yiming Zhang, Ruoyi Du, Zheng-Hua Tan, Wenwu Wang, Zhanyu Ma
Proceedings of the ACM on Human-Computer Interaction
GazeSwitch: Automatic Eye-Head Mode Switching for Optimised Hands-Free Pointing
Baosheng J. Hou, Joshua Newn, Ludwig Sidenmark, Anam A. Khan, Hans Gellersen
Proceedings of the ACM on Human-Computer Interaction
Gaze, Wall, and Racket: Combining Gaze and Hand-Controlled Plane for 3D Selection in Virtual Reality
Uta Wagner, Matthias Albrecht, Andreas A. Jacobsen, Haopeng Wang, Hans Gellersen, Ken Pfeuffer
CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems
Gaze on the Go: Effect of Spatial Reference Frame on Visual Target Acquisition During Physical Locomotion in Extended Reality
Pavel Manakhov, Ludwig Sidenmark, Ken Pfeuffer, Hans Gellersen
From Research to Practice: Survey and Taxonomy of Object Selection in Consumer VR Applications
Mykola Maslych, Difeng Yu, Amirpouya Ghasemaghaei, Yahya Hmaiti, Esteban S. Martinez, Dominic Simon, Eugene M. Taranta, Joanna Bergström, Joseph J. LaViola
From Coarse to Fine-Grained Open-Set Recognition
Nico Lang, Vésteinn Snæbjarnarson, Elijah Cole, Oisin M. Aodha,, Christian Igel, Serge Belongie
Association for Computational Linguistics
FoodieQA: A Multimodal Dataset for Fine-Grained Understanding of Chinese Food Culture
Wenyan Li, Crystina Zhang, Jiaang Li, Qiwei Peng, Raphael Tang, Li Zhou, Weijia Zhang, Guimin Hu, Yifei Yuan, Anders Søgaard, Daniel Hershcovich, Desmond Elliott
CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems
Flicker Augmentations: Rapid Brightness Modulation for Real-World Visual Guidance using Augmented Reality
Jonathan Sutton, Tobias Langlotz, Alexander Plopski, Kasper Hornbæk
Proceedings of the 41st International Conference on Machine Learning
Finding NEM-U: Explaining unsupervised representation learning through neural network generated explanation masks
Bjørn L. Møller, Christian Igel, Kristoffer K. Wickstrøm, Jon Sporring, Robert Jenssen, Bulat Ibragimov
Filtering on the Go: Effect of Filters on Gaze Pointing Accuracy During Physical Locomotion in Extended Reality
Pavel Manakhov, Ludwig Sidenmark, Ken Pfeuffer, Hans Gellersen
International Conference on the Evolution of Language (Evolang 2024).
Feature transmission within concept transmission
Stella Frank, Serge Belongie
Fast diffusion-based counterfactuals for shortcut removal and generation
Nina Weng, Paraskevas Pegios, Eike Petersen, Aasa Feragen, Siavash Bigdeli
European Actuarial Journal
Fairness: plurality, causality, and insurability
Matthias Fahrenwaldt, Christian Furrer, Munir E. Hiabu, Fei Huang, Frederik H. Jørgensen, Mathias Lindholm, Joshua Loftus, Mogens Steffensen, Andreas Tsanakas
FAccT '24: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency
Failing Our Youngest: On the Biases, Pitfalls, and Risks in a Decision Support Algorithm Used for Child Protection
Therese Moreau, Roberta Sinatra, Vedran Sekara
Association for Computational Linguistics
Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers
Yuxia Wang, Revanth G. Reddy, Zain M. Mujahid, Arnav Arora, Aleksandr Rubashevskii, Jiahui Geng, Osama M. Afzal, Liangming Pan, Nadav Borenstein, Aditya Pillai, Isabelle Augenstein, Iryna Gurevych, Preslav Nakov
Symposium on Usable Security and Privacy (USEC) 2024
EyeSeeIdentity: Exploring Natural Gaze Behavior for Implicit User Identification during Photo Viewing
Yaseem Abdrabou, Mariam Hassib, Shuqin Hu, Ken Pfeuffer, Mohamed Khamis, Andreas Bulling, Florian Alt
CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems
EyeGuide & EyeConGuide: Gaze-based Visual Guides to Improve 3D Sketching Systems
Rumeysa Turkmen, Zeynep E. Gelmez, Anil U. Batmaz, Wolfgang Stuerzlinger, Paul Asente, Mine Sarac, Ken Pfeuffer, Mayra D. B. Machuca
UIST '24: Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology
Eye-Hand Movement of Objects in Near Space Extended Reality
Uta Wagner, Andreas A. Jacobsen, Tiare Feuchtner, Hans Gellersen, Ken Pfeuffer
Journal of Power Sources
Extending battery life in CubeSats by charging current control utilizing a long short-term memory network for solar power predictions
Vaclav Knap, Gustav A.P. Bonvang, Frederik R. Fagerlund, Sune Krøyer, Kim Nguyen, Mathias Thorsager, Zheng-Hua Tan
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Exploring the Limits: Applying State-of-the-Art Stereo Matching Algorithms to Rectified Ultra-Wide Stereo
Filip Slezák, Morten S. Laursen, Thomas B. Moeslund
Exploring Deep Learning Models for EEG Neural Decoding
Laurits Dixen, Stefan Heinrich, Paolo Burelli
Imaging Neuroscience
Exploring an EM-algorithm for banded regression in computational neuroscience
Søren A. Fuglsang, Kristoffer H. Madsen, Oula Puonti, Hartwig R. Siebner, Jens Hjortkjær
ICMVA '24: Proceedings of the 2024 7th International Conference on Machine Vision and Applications
Enhancing Direct Visual Odometry with Deblurring and Saliency Maps
Magnus K. Gjerde, Kamal Nasrollahi, Thomas B. Moeslund, Joakim B. Haurum
Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2024)
Enabling RAW Image Classification Using Existing RGB Classifiers
Rasmus Munksø, Mathias V. Andersen, Lau Nørgaard, Andreas Møgelmose, Thomas B. Moeslund
CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems
Effects of a Gaze-Based 2D Platform Game on User Enjoyment, Perceived Competence, and Digital Eye Strain
Mark Colley, Beate Wanner, Max Rädler, Marcel Rötzer, Julian Frommel, Teresa Hirzle, Pascal Jansen, Enrico Rukzio
Radiology
Early Indicators of the Impact of Using AI in Mammography Screening for Breast Cancer
Andreas D. Lauritzen, Martin Lillholm, Elsebeth Lynge, Mads Nielsen, Nico Karssemeijer, Ilse Vejborg
EPJ Data Science
Early career wins and tournament prestige characterize tennis players’ trajectories
Chiara Zappalà, Sandro Sousa, Tiago Cunha, Alessandro Pluchino, Andrea Rapisarda, Roberta Sinatra
Journal of Eye Movement Research
Dynamics of Eye Dominance Behavior in Virtual Reality
Franziska Prummer, Ludwig Sidenmark, Hans Gellersen
Association for Computational Linguistics
DYNAMICQA: Tracing Internal Knowledge Conflicts in Language Models
Sara V. Marjanović, Haeun Yu, Pepa Atanasova, Maria Maistro, Christina Lioma, Isabelle Augenstein
Proceedings of Thirty Seventh Conference on Learning Theory
Dual VC Dimension Obstructs Sample Compression by Embeddings
Zachary Chase, Bogdan Chornomaz, Steve Hanneke, Shay Moran, Amir Yehudayoff
DROPP: Structure-Aware PCA for Ordered Data: A General Method and its Applications in Climate Research and Molecular Dynamics
Anna Beer, Olivér Palotás, Andrea Maldonado, Andrew Draganov, Ira Assent
Transactions of the Association for Computational Linguistics
Do Vision and Language Models Share Concepts? A Vector Space Alignment Study
Jiaang Li, Yova Kementchedjhieva, Constanza Fierro, Anders Søgaard
2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG)
Discovering Interpretable Directions in the Semantic Latent Space of Diffusion Models
René Haas, Inbar Huberman-Spiegelglas, Rotem Mulayoff, Sami Brandt, Stella Graßhof, Tomer Michaeli
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Diffusion-Based Speech Enhancement in Matched and Mismatched Conditions Using a Heun-Based Sampler
Philippe Gonzalez, Zheng-Hua Tan, Jan Østergaard, Jesper Jensen, Tommy S. Alstrøm, Tobias May
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
DIB-X: Formulating Explainability Principles for a Self-Explainable Model Through Information Theoretic Learning
Changkyu Choi, Shujian Yu, Michael Kampffmeyer, Arnt-Børre Salberg, Nils O. Handegard, Robert Jenssen
Design Principles and Challenges for Gaze + Pinch Interaction in XR
Ken Pfeuffer, Hans Gellersen, Mar Gonzalez-Franco
NeurIPS 2024
DeNetDM: Debiasing by Network Depth Modulation
Silpa V. Sreelatha, Adarsh Kappiyath, Abhra Chaudhuri, Anjan Dutta
Association for Computational Linguistics
Defining Knowledge: Bridging Epistemology and Large Language Models
Constanza Fierro, Ruchira Dhar, Filippos Stamatiou, Nicolas Garneau, Anders Søgaard
Bioinformatics
DeepLocRNA: an interpretable deep learning model for predicting RNA subcellular localization with domain-specific transfer-learning
Jun Wang, Marc Horlacher, Lixin Cheng, Ole Winther
Frontiers in Nuclear Medicine
Deep-learning-derived input function in dynamic [18F]FDG PET imaging of mice
Samuel Kuttner, Luigi T. Luppino, Laurence Convert, Otman Sarrhini, Roger Lecomte, Michael C. Kampffmeyer, Rune Sundset, Robert Jenssen
Remote Sensing of Environment
Deep point cloud regression for above-ground forest biomass estimation from airborne LiDAR
Stefan Oehmcke, Lei Li, Katerina Trepekli, Jaime C. Revenga, Thomas Nord-Larsen, Fabian Gieseke, Christian Igel
Brain Communications
COVID-19 Associated Cerebral Microbleeds in the General Population
Malini V. Sagar, Neus R. Ferrer, Mostafa M. Ghazi, Kiril V. Klein, Espen Jimenez-Solem, Mads Nielsen, Christina Kruuse
Proceedings of the 9th Machine Learning for Healthcare Conference
CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT
Mikkel Odgaard, Kiril V. Klein, Sanne M. Thysen, Espen Jimenez-Solem, Martin Sillesen, Mads Nielsen
2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP)
Convexity Based Pruning of Speech Representation Models
Teresa Dorszewski, Lenka Tetkova, Lars K. Hansen
Association for Computational Linguistics
Context versus Prior Knowledge in Language Models
Kevin Du, Vésteinn Snæbjarnarson, Niklas Stoehr, Jennifer White, Aaron Schein, Ryan Cotterell
2024 International Joint Conference on Neural Networks (IJCNN)
Complex Recurrent Variational Autoencoder for Speech Resynthesis and Enhancement
Yuying Xie, Thomas Arildsen, Zheng-Hua Tan
Frontiers in Aging Neuroscience
Comparative analysis of multimodal biomarkers for amyloid-beta positivity detection in Alzheimer’s disease cohorts
Mostafa M. Ghazi, Per Selnes, Santiago Timón-Reina, Sandra Tecelão, Silvia Ingala, Atle Bjørnerud, Bjørn-Eivind Kirsebom, Tormod Fladby, Mads Nielsen
GeroScience
Cognitive aging and reserve factors in the Metropolit 1953 Danish male cohort
Mostafa M. Ghazi, Olalla Urdanibia-Centelles, Aftab Bakhtiari, Birgitte Fagerlund, Mark B. Vestergaard, Henrik B. W. Larsson, Erik L. Mortensen, Merete Osler, Mads Nielsen, Krisztina Benedek, Martin Lauritzen
Proceedings of the 41st International Conference on Machine Learning
Coarse-To-Fine Tensor Trains for Compact Visual Representations
Sebastian Loeschcke, Dan Wang, Christian Leth-Espensen, Serge Belongie, Michael J. Kastoryano, Sagie Benaim
CL-MAE: Curriculum-Learned Masked Autoencoders
Neelu Madan, Nicolae C. Ristea, Kamal Nasrollahi, Thomas B. Moeslund, Radu T. Ionescu
Association for Computational Linguistics
Can Transformers Learn n-gram Language Models?
Anej Svete, Nadav Borenstein, Mike Zhou, Isabelle Augenstein, Ryan Cotterell
Patterns
Can large language models reason about medical questions?
Valentin Liévin, Christoffer E. Hother, Andreas G. Motzfeldt, Ole Winther
Natural Hazards and Earth System Sciences
Brief communication: Small-scale geohazards cause significant and highly variable impacts on emotions
Evgenia Ilyinskaya, Vésteinn Snæbjarnarson, Hanne K. Carlsen, Björn Oddsson
Bridging the Sim-to-Real GAP for Underwater Image Segmentation
Luiza R. Marnet, Stella Graßhof, Yuri Brodskiy, Andrzej Wąsowski
BrainIB: Interpretable Brain Network-Based Psychiatric Diagnosis With Graph Information Bottleneck
Kaizhong Zheng, Shujian Yu, Baojuan Li, Robert Jenssen, Badong Chen
Imaging Neuroscience
BOLD fMRI responses to amplitude-modulated sounds across age in adult listeners
Søren A. Fuglsang, Jonatan Märcher-Rørsted, Kristoffer H. Madsen, Ditte H. Frantzen, Gerard Encina-Llamas, Charlotte Sørensen, Tim B. Dyrby, Torsten Dau, Jens Hjortkjær, Hartwig R. Siebner
CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems
Blended Whiteboard: Physicality and Reconfigurability in Remote Mixed Reality Collaboration
Jens E. S. Grønbæk, Juan S. Esquivel, Germán Leiva, Eduardo Velloso, Hans Gellersen, Ken Pfeuffer
NeurIPS 2024
BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity
Zahra Gharaee, Scott C. Lowe, ZeMing Gong, Pablo M. Arias, Nicholas Pellegrino, Austin T. Wang, Joakim B. Haurum, Iuliia Zarubiieva, Lila Kari, Dirk Steinke, Graham W. Taylor, Paul Fieguth, Angel X. Chang
Vand & Jord
Automatiseret genkendelse og længdeestimering af fisk på fiskefartøjer
Stefan H. Bengston, Malte Pedersen, Niels Madsen
International Journal of Human-Computer Studies
Augmenting the feel of real objects: An analysis of haptic augmented reality
Arpit Bhatia, Kasper Hornbæk, Hasti Seifi
International Speech Communication Association
Audio Mamba: Selective State Spaces for Self-Supervised Audio Representations
Sarthak Yadav, Zheng-Hua Tan
Assessing Neural Network Robustness via Adversarial Pivotal Tuning
Peter E. Christensen, Vésteinn Snæbjarnarson, Andrea Dittadi, Serge Belongie, Sagie Benaim
AssemblyNet: A Point Cloud Dataset and Benchmark for Predicting Part Directions in an Exploded Layout
Jesper Gaarsdal, Joakim B. Haurum, Sune Wolff, Claus B. Madsen
Nature Scientific Reports
AI supported fetal echocardiography with quality assessment
Caroline A. Taksoee-Vester, Kamil Mikolaj, Zahra Bashir, Anders N. Christensen, Olav B. Petersen, Karin Sundberg, Aasa Feragen, Morten B. S. Svendsen, Mads Nielsen, Martin G. Tolsgaard
Agglomerative Token Clustering
Joakim B. Haurum, Sergio Escalera, Graham W. Taylor, Thomas B. Moeslund
Journal of Ocean Technology
Advantages and Limitations of Using Cameras on Small, Low-Cost ROVS for Seabed Monitoring (Review Article)
Amanda F. Irlind, Alex Jørgensen, Jonathan E. Schmidt, Anders S. Johansen, Thomas B. Moeslund, Karen A. Sønnichsen, Niels Madsen
Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence
Adjustment identification distance: a gadjid for causal structure learning
Leonard Henckel, Theo Würtzen, Sebastian Weichwald
Association for Computational Linguistics
Activation Scaling for Steering and Interpreting Language Models
Niklas Stoehr, Kevin Du, Vésteinn Snæbjarnarson, Robert West, Ryan Cotterell, Aaron Schein
The Eurographics Association
A Web Framework for Explainable and Malleable Visualisation (Poster)
Simon M. Hansen, Ira Assent, Hans-Jörg Schulz
PLOS Computational Biology
A systematic analysis of regression models for protein engineering
Richard Michael, Jacob Kæstel-Hansen, Peter M. Groth, Simon Bartels, Jesper Salomon, Pengfei Tian, Nikos S. Hatzakis, Wouter Boomsma
NeurIPS 2024
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences
Miguel González-Duque, Richard Michael, Simon Bartels, Yevgen Zainchkovskyy, Søren Hauberg, Wouter Boomsma
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
A stroke of genius: Predicting the next move in badminton
Magnus Ibh, Stella Graßhof, Dan Witzner
Nature Communications Psychology
A registered replication study on body-ownership, perceptions, and attitudes [Stage 1 Registered Report Protocol]
Olga Larygina, Kasper Hornbæk, Aske Mottelson
A Noisy Elephant in the Room: Is Your out-of-Distribution Detector Robust to Label Noise?
Galadrielle Humblot-Renaux, Sergio Escalera, Thomas B. Moeslund
Wisdom, Well-Being, Win-Win (iConference 2024)
“If I Like BLANK, What Else Will I Like?”: Analyzing a Human Recommendation Community on Reddit
Thi B. M. Cao, Toine Bogers
Association for Computational Linguistics
Transfer to a Low-Resource Language via Close Relatives: The Case Study on Faroese
Vésteinn Snæbjarnarson, Annika Simonsen, Goran Glavaš, Ivan Vulić
Science Advances
The overlooked contribution of trees outside forests to tree cover and woody biomass across Europe
Siyu Liu, Martin Brandt, Thomas Nord-Larsen, Jerome Chave, Florian Reiner, Nico Lang, Xiaoye Tong, Philippe Ciais, Christian Igel, Adrian Pascual, Juan Guerra-Hernandez, Sizhuo Li, Maurice Mugabowindekwe, Sassan Saatchi, Yuemin Yue, Zhengchao Chen, Rasmus Fensholt
Nature
Sub-continental-scale carbon stocks of individual trees in African drylands
Compton Tucker, Martin Brandt, Pierre Hiernaux, Ankit Kariryaa, Kjeld Rasmussen, Jennifer Small, Christian Igel, Florian Reiner, Katherine Melocik, Jesse Meyer, Scott Sinno, Eric Romero, Erin Glennie, Yasmin Fitts, August Morin, Jorge Pinzon, Devin McClain, Paul Morin, Claire Porter, Shane Loeffler, Laurent Kergoat, Bil-Assanou Issoufou, Patrice Savadogo, Jean-Pierre Wigneron, Benjamin Poulter, Philippe Ciais, Robert Kaufmann, Ranga Myneni, Sassan Saatchi, Rasmus Fensholt
SITTA: Single Image Texture Translation for Data Augmentation
Boyi Li, Yin Cui, Tsung-Yi Lin, Serge Belongie
Medical Image Analysis
Semantic similarity metrics for image registration
Steffen Czolbe, Paraskevas Pegios, Oswin Krause, Aasa Feragen
Science Communication
Science Communication as a Collective Intelligence Endeavor: A Manifesto and Examples for Implementation
Dawn Holford, Angelo Fasce, Katy Tapper, Miso Demko, Stephan Lewandowsky, Ulrike Hahn, Christoph M. Abels, Ahmed Al-Rawi, Sameer Alladin, T. Sonia Boender, Hendrik Bruns, Helen Fischer, Christian Gilde, Paul H. P. Hanel, Stefan M. Herzog, Astrid Kause, Sune Lehmann J., Matthew S. Nurse, Caroline Orr, Niccolò Pescetelli, Maria Petrescu, Sunita Sah, Philipp Schmid, Miroslav Sirota, Marlene Wulf
Medical Imaging with Deep Learning 2023
Robust Identification of White Matter Hyperintensities in Uncontrolled Settings Using Deep Learning
Alice Schiavone, Sebastian N. Llambias, Jacob Johansen, Silvia Ingala, Akshay Pai, Mads Nielsen, Mostafa M. Ghazi
Briefings in Bioinformatics
RNA trafficking and subcellular localization—a review of mechanisms, experimental and predictive methodologies
Jun Wang, Marc Horlacher, Lixin Cheng, Ole Winther
NeurIPS 2023
Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery
Katie Luo, Zhenzhen Liu, Xiangyu Chen, Yurong You, Sagie Benaim, Cheng P. Phoo, Mark Campbell, Wen Sun, Bharath Hariharan, Kilian Q. Weinberger
Power and distribution of evoked gamma oscillations in brain aging and cognitive performance
Aftab Bakhtiari, Jacob Petersen, Olalla Urdanibia-Centelles, Mostafa M. Ghazi, Birgitte Fagerlund, Erik L. Mortensen, Merete Osler, Martin Lauritzen, Krisztina Benedek
Populations of unlabelled networks: Graph space geometry and generalized geodesic principal components
Anna Calissano, Aasa Feragen, Simone Vantini
Association for Computational Linguistics
PHD: Pixel-Based Language Modeling of Historical Documents
Nadav Borenstein, Phillip Rust, Desmond Elliott, Isabelle Augenstein
Association for Computational Linguistics
People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection
Indira Sen, Dennis Assenmacher, Mattia Samory, Isabelle Augenstein, Wil van der Aalst, Claudia Wagner
Information Fusion
Partial feedback online transfer learning with multi-source domains
Zhongfeng Kang, Mads Nielsen, Bo Yang, Mostafa M. Ghazi
Association for Computational Linguistics
Multilingual Event Extraction from Historical Newspaper Adverts
Nadav Borenstein, Natália da S. Perez, Isabelle Augenstein
IEEE/ACM Transactions on Audio, Speech, and Language Processing
Minimum Processing Near-End Listening Enhancement
Andreas J. Fuglsig, Jesper Jensen, Zheng-Hua Tan, Lars S. Bertelsen, Jens C. Lindof, Jan Østergaard
Association for Computational Linguistics
Measuring Intersectional Biases in Historical Documents
Nadav Borenstein, Karolina Stanczak, Thea Rolskov, Natacha K. Käfer,, Natália da S. Perez, Isabelle Augenstein
IEEE Open Journal of Signal Processing
Leveraging Domain Features for Detecting Adversarial Attacks Against Deep Speech Recognition in Noise
Christian H. Nielsen, Zheng-Hua Tan
NeurIPS 2023
Learning to Taste: A Multimodal Wine Dataset
Thoranna Bender, Simon M. Sørensen, Alireza Kashani, Kristjan E. Hjorleifsson, Grethe Hyldig, Søren Hauberg, Serge Belongie, Frederik Warburg
Genome Biology and Evolution
Leaping through tree space: continuous phylogenetic inference for rooted and unrooted trees
Matthew J. Penn, Neil Scheidwasser, Joseph Penn, Christl A. Donnelly, David A. Duchêne, Samir Bhatt
2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)
Improving Label-Deficient Keyword Spotting Through Self-Supervised Pretraining
Holger S. Bovbjerg, Zheng-Hua Tan
NeurIPS 2023
Implicit Transfer Operator Learning: Multiple Time-Resolution Models for Molecular Dynamics
Mathias Schreiner, Ole Winther, Simon Olsson
iScience
Imperceptible body transformation in virtual reality: Saliency of self representation
Gizem Senel, Francisco Macia-Varela, Jaime Gallego, Hatice P. Jensen, Kasper Hornbæk, Mel Slater
NAR Genomics and Bioinformatics
GraphPart: homology partitioning for biological sequence analysis
Felix Teufel, Magnús H. Gíslason, José J. A. Armenteros, Alexander R. Johansen, Ole Winther, Henrik Nielsen
Journal of Marine Science and Engineering
Finding Nemo’s Giant Cousin: Keypoint Matching for Robust Re-Identification of Giant Sunfish
Malte Pedersen, Marianne Nyegaard, Thomas B. Moeslund
Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL)
Familiarity-Based Open-Set Recognition Under Adversarial Attacks
Philip Enevoldsen, Christian Gundersen, Nico Lang, Serge Belongie, Christian Igel
Association for Computational Linguistics
Faithfulness Tests for Natural Language Explanations
Pepa Atanasova, Oana-Maria Camburu, Christina Lioma, Thomas Lukasiewicz, Jakob G. Simonsen, Isabelle Augenstein
Association for Computational Linguistics
Explaining Interactions Between Text Spans
Sagnik R. Choudhury, Pepa Atanasova, Isabelle Augenstein
Telemedicine and e-Health
Explainable Image Quality Assessments in Teledermatological Photography
Raluca Jalaboi, Ole Winther, Alfiia Galimzianova
Digital Society
Explainable AI and Law: An Evidential Survey
Karen McGregor Richmond, Satya M. Muddamsetty, Thomas Gammeltoft-Hansen, Henrik P. Olsen, Thomas B. Moeslund
NeuroImage
Evaluating the influence of anatomical accuracy and electrode positions on EEG forward solutions
Jesper D. Nielsen, Oula Puonti, Rong Xue, Axel Thielscher, Kristoffer H. Madsen
Nature Communications Medicine
Epidemic modelling of monitoring public behavior using surveys during pandemic-induced lockdowns
Andreas Koher, Frederik Jørgensen, Michael B. Petersen, Sune Lehmann J.
DTU-Net: Learning Topological Similarity for Curvilinear Structure Segmentation
Manxi Lin, Kilian Zepf, Anders N. Christensen, Zahra Bashir, Morten B. S. Svendsen, Martin Tolsgaard, Aasa Feragen
2023 Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)
Discriminative Class Tokens for Text-to-Image Diffusion Models
Idan Schwartz, Vésteinn Snæbjarnarson, Hila Chefer, Serge Belongie, Lior Wolf, Sagie Benaim
Descriptive Attributes for Language-Based Object Keypoint Detection
Jerod Weinman, Serge Belongie, Stella Frank
Medical Image Analysis
DermX: An end-to-end framework for explainable automated dermatological diagnosis
Raluca Jalaboi, Frederik Faye, Mauricio Orbes-Arteaga, Dan Jørgensen, Ole Winther, Alfiia Galimzianova
Bioinformatics
DeepPeptide predicts cleaved peptides in proteins using conditional random fields
Felix Teufel, Jan C. Refsgaard, Christian T. Madsen, Carsten Stahlhut, Mads Grønborg, Ole Winther, Dennis Madsen
IEEE Journal of Oceanic Engineering
Deep Semisupervised Semantic Segmentation in Multifrequency Echosounder Data
Changkyu Choi, Michael Kampffmeyer, Nils O. Handegard, Arnt-Børre Salberg, Robert Jenssen
Deep Learning-Based Assessment of Cerebral Microbleeds in COVID-19
Neus R. Ferrer, Malini V. Sagar, Kiril V. Klein, Christina Kruuse, Mads Nielsen, Mostafa M. Ghazi
Data-Driven Non-Intrusive Speech Intelligibility Prediction using Speech Presence Probability
Mathias B. Pedersen, Søren H. Jensen, Zheng-Hua Tan, Jesper Jensen
2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)
Concept-Based Explainability for an EEG Transformer Model
Anders G. Madsen, William T. Lehn-Schiøler, Áshildur Jónsdóttir, Bergdís Arnardóttir, Lars K. Hansen
European Archives of Psychiatry and Clinical Neuroscience
Clustering of antipsychotic-naïve patients with schizophrenia based on functional connectivity from resting-state electroencephalography
Karen S. Ambrosen, Fanny Fredriksson, Simon Anhøj, Nikolaj Bak, Edwin van Dellen, Livia Dominicus, Cecilie K. Lemvigh, Mikkel E. Sørensen, Mette Ø. Nielsen, Kirsten B. Bojesen, Birgitte Fagerlund, Birte Y. Glenthøj, Bob Oranje, Lars K. Hansen, Bjørn H. Ebdrup
Cleaner Categories Improve Object Detection and Visual-Textual Grounding
Davide Rigoni, Desmond Elliott, Stella Frank
Association for Computational Linguistics
Byte-Level Grammatical Error Correction Using Synthetic and Curated Corpora
Svanhvít L. Ingólfsdóttir, Pétur O. Ragnarsson, Haukur P. Jónsson, Haukur B. Símonarson, Vilhjálmur Þorsteinsson, Vésteinn Snæbjarnarson
BrackishMOT: The Brackish Multi-Object Tracking Dataset
Malte Pedersen, Daniel Lehotský, Ivan Nikolov, Thomas B. Moeslund
PNAS
Bias in context: What to do when complete bias removal is not an option
Sune H. Holm, Eike Petersen, Melanie Ganz-Benjaminsen, Aasa Feragen
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Beyond AUROC & co. for evaluating out-of-distribution detection performance
Galadrielle Humblot-Renaux, Sergio Escalera, Thomas B. Moeslund
NeurIPS 2023
Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval
Frederik Warburg, Marco Miani, Silas Brack, Søren Hauberg
Radiology
Assessing Breast Cancer Risk by Combining AI for Lesion Detection and Mammographic Texture
Andreas D. Lauritzen, My C. von Euler-Chelpin, Elsebeth Lynge, Ilse Vejborg, Mads Nielsen, Nico Karssemeijer, Martin Lillholm
Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging
Are Sex-Based Physiological Differences the Cause of Gender Bias for Chest X-Ray Diagnosis?
Nina Weng, Siavash Bigdeli, Eike Petersen, Aasa Feragen
Allometric equations to estimate the dry mass of Sahel woody plants mapped with very-high resolution satellite imagery
Pierre Hiernaux, Hassane B.-A. Issoufou, Christian Igel, Ankit Kariryaa, Moussa Kourouma, Jérôme Chave, Eric Mougin, Patrice Savadogo
NeurIPS 2023
Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation
Giorgio Giannone, Akash Srivastava, Ole Winther, Faez Ahmed
Proceedings of The 26th International Conference on Artificial Intelligence and Statistics
Adaptive Cholesky Gaussian Processes
Simon Bartels, Kristoffer Stensbo-Smidt, Pablo Moreno-Munoz, Wouter Boomsma, Jes Frellsen, Søren Hauberg
NeurIPS 2023
Adapting Neural Link Predictors for Data-Efficient Complex Query Answering
Erik Arakelyan, Pasquale Minervini, Daniel Daza, Michael Cochez, Isabelle Augenstein
Medical Image Learning with Limited and Noisy Data
Active Transfer Learning for 3D Hippocampus Segmentation
Ji Wu, Zhongfeng Kang, Sebastian N. Llambias, Mostafa M. Ghazi, Mads Nielsen
A Systematic Review and Meta-analysis of the Effectiveness of Body Ownership Illusions in Virtual Reality
Aske Mottelson, Andreea Muresan, Kasper Hornbæk, Guido Makransky
NeurIPS 2023
A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset
Zahra Gharaee, ZeMing Gong, Nicholas Pellegrino, Iuliia Zarubiieva, Joakim B. Haurum, Scott Lowe, Jaclyn McKeown, Chris Ho, Joschka McLeod, Yi-Yun Wei, Jireh Agda, Sujeevan Ratnasingham, Dirk Steinke, Angel Chang, Graham W. Taylor, Paul Fieguth
NeurIPS 2023
A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models
Alexander Reisach, Myriam Tami, Christof Seiler, Antoine Chambaz, Sebastian Weichwald
npj Digital Medicine
A retrospective study on machine learning-assisted stroke recognition for medical helpline calls
Jonathan Wenstrup, Jakob D. Havtorn, Lasse Borgholt, Stig N. Blomberg, Lars Maaløe, Michael R. Sayre, Hanne Christensen, Christina Kruuse, Helle C. Christensen
Nature Ecology & Evolution
A high-resolution canopy height model of the Earth
Nico Lang, Walter Jetz, Konrad Schindler, Jan D. Wegner
A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations
Nikolaos Nakis, Abdulkadir Çelikkanat, Sune Lehmann J., Morten Mørup
Journal of Marine Science and Engineering
A Contextually Supported Abnormality Detector for Maritime Trajectories
Kristoffer V. Olesen, Ahcène Boubekki, Michael C. Kampffmeyer, Robert Jenssen, Anders N. Christensen, Sune Hørlück, Line H. Clemmensen
NeurIPS 2022
Laplacian Autoencoders for Learning Stochastic Representations
Marco Miani, Frederik Warburg, Pablo Moreno-Muñoz, Nicki S. Detlefsen, Søren Hauberg
OpenProceedings
GPU-FAST-PROCLUS: A Fast GPU-parallelized Approach to Projected Clustering
Jakob R. Jørgensen, Katrine Scheel, Ira Assent, Ajeet R. Pathak, Anne C. Elster
OpenProceedings
AVID: GPU-enabled Visual Analytics with GPU-FAST-PROCLUS
Jakob R. Jørgensen, Ira Assent, Hans-Jörg Schulz
The 33rd British Machine Vision Conference
On Temporal Granularity in Self-Supervised Video Representation Learning
Rui Qian, Yeqing Li, Liangzhe Yuan, Boqing Gong, Ting Liu, Matthew Brown, Serge Belongie, Ming-Hsuan Yang, Hartwig Adam, Yin Cui
GLEAN: Generalized-Deduplication-Enabled Approximate Edge Analytics
Aaron Hurst, Daniel E. Lucani, Ira Assent, Qi Zhang
Association for Computational Linguistics
Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing
Lucie-Aimée Kaffee, Arnav Arora, Zeerak Talat, Isabelle Augenstein
Proceedings of the ACM on Human-Computer Interaction
Tiles to Move: Investigating Tile-Based Locomotion for Virtual Reality
Jana F. Funke, Anja Schikorr, Sukran Karaosmanoglu, Teresa Hirzle, Frank Steinicke, Enrico Rukzio
Association for Computational Linguistics (2023)
Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection
Erik Arakelyan, Arnav Arora, Isabelle Augenstein
CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
Towards a Bedder Future: A Study of Using Virtual Reality while Lying Down
Thomas van Gemert , Kasper Hornbæk, Jarrod Knibbe, Joanna Bergström
Genome Biology
Towards in silico CLIP-seq: predicting protein-RNA interaction via sequence-to-signal learning
Marc Horlacher, Nils Wagner, Lambert Moyon, Klara Kuret, Nicolas Goedert, Marco Salvatore, Jernej Ule, Julien Gagneur, Ole Winther, Annalisa Marsico
ACM Transactions on Computer-Human Interaction
Using Feedforward to Reveal Interaction Possibilities in Virtual Reality
Andreea Muresan, Jess Mcintosh , Kasper Hornbæk
Proceedings of the 40th International Conference on Machine Learning
Variational open-domain question answering
Valentin Liévin, Andreas G. Motzfeldt, Ida R. Jensen, Ole Winther
CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
When XR and AI Meet – A Scoping Review on Extended Reality and Artificial Intelligence
Teresa Hirzle, Florian Müller, Fiona Draxler, Martin Schmitz, Pascal Knierim, Kasper Hornbæk
CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
Exploring Gesture and Gaze Proxies to Communicate Instructor’s Nonverbal Cues in Lecture Videos
Tobias Wagner , Teresa Hirzle, Anke Huckauf, Enrico Rukzio
Association for Computational Linguistics
Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions
Lucie-Aimée Kaffee, Arnav Arora, Isabelle Augenstein
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Filterbank Learning for Noise-Robust Small-Footprint Keyword Spotting
Iván López-Espejo, Ram C. M. C. Shekar, Zheng-Hua Tan, Jesper Jensen, John H. L. Hansen
Chapter on Temporal Network Theory (2023)
Fundamental Structures in Temporal Communication Networks (Chapter)
Sune Lehmann J.
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning with Hyperspherical Embeddings
Daniel J. Trosten, Rwiddhi Chakraborty , Sigurd Løksc, Kristoffer K. Wickstrøm, Robert Jenssen, Michael C. Kampffmeyer
Image-free Classifier Injection for Zero-Shot Classification
Anders Christensen, Massimiliano Mancini, A. Sophia Koepke, Ole Winther, Zenyep Akata
Investigating Perceived and Mechanical Challenge in Games Through Cognitive Activity
Christine Hegedues, Joao P. D. Constantino , Laurits Dixen, Paolo Burelli
Investigating the Uncanny Valley Phenomenon Through the Temporal Dynamics of Neural Responses to Virtual Characters
Chiara Gorlini , Laurits Dixen, Paolo Burelli
Machine Learning and Knowledge Discovery in Databases: Research Track (ECML PKDD 2023)
Learning Geometric Representations of Objects via Interaction
Alfredo Reichlin, Giovanni L. Marchetti , Hang Yin, Anastasiia Varava, Danica Kragic
Leveraging Shape and Spatial Information for Spontaneous Preterm Birth Prediction
Paraskevas Pegios, Emilie P. F. Sejer, Manxi Lin, Zahra Bashir, Morten B. S. Svendsen, Mads Nielsen, Eike Petersen, Anders N. Christensen, Martin Tolsgaard, Aasa Feragen
FAccT '23: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency
On (assessing) the fairness of risk score models
Eike Petersen, Melanie Ganz-Benjaminsen, Sune H. Holm, Aasa Feragen
On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering
Daniel J. Trosten, Sigurd Løkse, Robert Jenssen , Michael C. Kampffmeyer
Online transfer learning with partial feedback
Zhongfeng Kang, Mads Nielsen, Bo Yang, Lihui Deng, Stephan S. Lorenzen
CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
Partially Blended Realities: Aligning Dissimilar Spaces for Distributed Mixed Reality Meetings
Jens E. S. Grønbæk, Ken Pfeuffer, Edurado Velloso, Morten Astrup, Melanie I. S. Pedersen, Martin Kjær, Germán Leiva, Hans Gellersen
UrbanAI '23: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Advances in Urban-AI
Predicting urban tree cover from incomplete point labels and limited background information
Hui Zhang, Ankit Kariryaa, Venkanna B. Guthula, Christian Igel, Stefan Oehmcke
Recommendation fairness and where to find it: An empirical study on fairness of user recommender systems
Antonela Tommasel, Ira Assent
Robust cross-vendor mammographic texture models using augmentation-based domain adaptation for long-term breast cancer risk
Andreas D. Lauritzen, My C. von Euler-Chelpin, Elsebeth Lynge, Ilse Vejborg, Mads Nielsen, Nico Karssemeijer, Martin Lillholm
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Robustness of Visual Explanations to Common Data Augmentation Methods
Lars Kai Hansen, Lenka Tëtková
Selective Imputation for Multivariate Time Series Datasets With Missing Values
Ane Blázquez-García, Kristoffer Wickstrøm, Shujian Yu, Karl Ø. Mikalsen, Ahcène Boubekki, Angel Conde, Usue Mori, Robert Jenssen, Jose A. Lozano
SGD Biased towards Early Important Samples for Efficient Training
Alessio Quercia, Abigail Morrison, Hanno Scharr, Ira Assent
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
TemPose: a new skeleton-based transformer model designed for fine-grained motion recognition in badminton
Magnus Ibh, Stella Grasshof, Dan Witzner Hansen, Pascal Madeleine
Text-Driven Stylization of Video Objects
Sebastian Loeschcke, Serge Belongie, Sagie Benaim
The fine-grained temporal dynamics of social timing: a window into sociality of embodied social agents. Comment on “The evolution of social timing” by L. Verga, S. A. Kotz, & A. Ravignani
Ivana Konvalinka, Kyveli Kompatsiari, Qianliang Li
Proceedings of the 40th International Conference on Machine Learning
Unifying Molecular and Textual Representations via Multi-task Language Modelling
Dimitrios Christofidellis, Giorgio Giannone, Jannis Born, Ole Winther, Teodoro Laino, Matteo Manica
Using sequences of life-events to predict human lives
Germans Savcisens, Tina Eliassi-Rad, Lars K. Hansen, Laust H. Mortensen, Lau Lilleholt, Anna Rogers, Ingo Zettler, Sune Lehmann J.
Video Transformers: A Survey
Javier Selva, Anders S. Johansen, Sergio Escalera, Kamal Nasrollahi, Thomas B. Moeslund, Albert Clapés
Which Tokens to Use? Investigating Token Reduction in Vision Transformers
Joakim B. Haurum, Sergio Escalera, Graham W. Taylor, Thomas B. Moeslund
Self-Supervised Speech Representation Learning: A Review
Abdelrahman Mohamed, Hung-yi Lee, Lasse Borgholt, Jakob D. Havtorn, Joakim Edin, Christian Igel, Katrin Kirchhoff, Shang-Wen Li, Karen Livescu, Lars Maaløe, Tara N. Sainath, Shinji Watanabe
Frontiers in Environmental Science
Interpretation of convolutional neural networks for acid sulfate soil classification
Amelie Beucher, Christoffer B. Rasmussen, Thomas B. Moeslund, Mogens H. Greve
Synthese
Understanding models understanding language
Anders Søgaard
Radiology
An Artificial Intelligence–based Mammography Screening Protocol for Breast Cancer: Outcome and Radiologist Workload
Andreas D. Lauritzen, Alejandro Rodríguez-Ruiz, My C. von Euler-Chelpin, Elsebeth Lynge, Ilse Vejborg, Mads Nielsen, Nico Karssemeijer, Martin Lillholm
IET Image Processing
Real-world super-resolution of face-images from surveillance cameras
Andreas Aakerberg, Kamal Nasrollahi, Thomas B. Moeslund
Graph-valued regression: Prediction of unlabelled networks in a non-Euclidean graph space
Anna Calissano, Aasa Feragen, Simone Vantini
AI and Ethics
Rawlsian AI fairness loopholes
Anna K. Jørgensen, Anders Søgaard
BMJ Open 2022
Using machine learning to identify quality-of-care predictors for emergency caesarean sections: a retrospective cohort study
Betina R. Andersen, Ida Ammitzbøll, Jesper Hinrich, Sune Lehmann J., Charlotte V. Ringsted, Ellen C. L. Løkkegaard, Martin G. Tolsgaard
PloS one
Characterizing polarization in online vaccine discourse—A large-scale study
Bjarke Mønsted, Sune Lehmann J.
The American Journal of Gastroenterology
High Accuracy in Classifying Endoscopic Severity in Ulcerative Colitis Using Convolutional Neural Network
Bobby Lo, Zhuo Y. Liu, Flemming Bendtsen, Christian Igel, Ida Vind, Johan Burisch
Water 2022
Data-Driven Drift Detection in Real Process Tanks: Bridging the Gap between Academia and Practice
Bolette D. Hansen, Thomas B. Hansen, Thomas B. Moeslund, David G. Jensen
Association for Computational Linguistics
Multilingual Multimodal Learning with Machine Translated Text
Chen Qiu, Dan Oneață, Emanuele Bugliarello, Stella Frank, Desmond Elliott
Sensors 2022
The Challenge of Data Annotation in Deep Learning—A Case Study on Whole Plant Corn Silage
Christoffer B. Rasmussen, Kristian Kirk, Thomas B. Moeslund
Understanding Social Behavior in Dyadic and Small Group Interactions
ChaLearn LAP Challenges on Self-Reported Personality Recognition and Non-Verbal Behavior Forecasting During Social Dyadic Interactions: Dataset, Design, and Results
Cristina Palmero, German Barquero, Julio C. S. J. Junior, Albert Clapés, Johnny Núñez, David Curto, Sorina Smeureanu, Javier Selva, Zejian Zhang, David Saeteros, David Gallardo-Pujol, Georgina Guilera, David Leiva, Feng Han, Xiaoxue Feng, Jennifer He, Wei-Wei Tu, Thomas B. Moeslund, Isabelle Guyon, Sergio Escalera
Aarhus Universitetsforlag
Kunstig intelligens bagfra (Book)
Anders Søgaard
Osteoarthritis and Cartilage
MULTI-INSTITUTIONAL LARGE-SCALE VALIDATION OF 8 METHODS FOR AUTOMATIC KNEE MRI SEGMENTATION FOR USE IN CLINICAL TRIALS
Erik B. Dam, Arjun Desai, Cem M. Deniz, Haresh R. Rajamohan, Ravinder R. Regatte, Claudia Iriondo, Valentina Pedoia, Sharmila Majumdar, Mathias Perslev, Christian Igel, Akshay Pai, Sibaji Gaj, Mingrui Yang, Kunio Nakamura, Xiaojuan Li, Hasan Maqbool, Ismail Irmakci, Sang-Eun Song, Ulas Bagci, Brian A. Hargreaves, Garry E. Gold, Akshay Chaudhari
Sensors 2022
Anomaly Detection for Agricultural Vehicles Using Autoencoders
Esma Mujkic, Mark P. Philipsen, Thomas B. Moeslund, Martin P. Christiansen, Ole Ravn
Water 2022
Autoencoders for Semi-Supervised Water Level Modeling in Sewer Pipes with Sparse Labeled Data
Ferran P. Rius, Mark P. Philipsen, Josep M. M. Tur, Thomas B. Moeslund, Cecilio A. Bahón, Marc Casas
Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images
Galadrielle Humblot-Renaux, Letizia Marchegiani, Thomas B. Moeslund, Rikke Gade
International Journal of Computer Integrated Manufacturing
Utilization of acoustic signals with generative Gaussian and autoencoder modeling for condition-based maintenance of injection moulds
Georg Ø. Rønsch, Iván López-Espejo, Daniel Michelsanti, Yuying Xie, Petar Popovski, Zheng-Hua Tan
Proceedings of the ACM on Human-Computer Interaction
PACMHCI V6, ETRA, May 2022 Editorial
Hans Gellersen, Enkelejda Kasneci, Krzysztof Krejtz, Daniel Weiskopf
Sensors 2022
Imitating Emergencies: Generating Thermal Surveillance Fall Data Using Low-Cost Human-like Dolls
Ivan Nikolov, Jinsong Liu, Thomas B. Moeslund
Remote Sensing
Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV–LiDAR and Machine Learning Methods
Jaime C. Revenga, Katerina Trepekli, Stefan Oechmcke, Rasmus Jensen, Lei Li, Christian Igel, Fabian C. Gieseke, Thomas Friborg
Sensors 2022
Clothing Insulation Rate and Metabolic Rate Estimation for Individual Thermal Comfort Assessment in Real Life
Jinsong Liu, Isak W. Foged, Thomas B. Moeslund
Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization
Jiyang Xie, Zhanyu Ma, Jianjun Lei, Guoqiang Zhang, Jing-Hao Xue, Zheng-Hua Tan, Jun Guo
ISPRS Journal of Photogrammetry and Remote Sensing
TimeMatch: Unsupervised cross-region adaptation by temporal shift estimation
Joachim Nyborg, Charlotte Pelletier, Sébastien Lefèvre, Ira Assent
Automation in Construction
Multi-scale hybrid vision transformer and Sinkhorn tokenizer for sewer defect classification
Joakim B. Haurum, Meysam Madadi, Sergio Escalera, Thomas B. Moeslund
Journal of Computational Social Science
Group-specific behavior change following terror attacks
Jonas L. Juul, Laura M. Alessandretti, Jesper Dammeyer, Ingo Zettler, Sune Lehmann J., Joachim Mathiesen
Nature Scientific reports
Noise-assisted variational quantum thermalization
Jonathan Foldager, Arthur Pesah, Lars K. Hansen
From Demo to Design in Teaching Machine Learning
Karl-Emil K. Bilstrup, Magnus H. Kaspersen, Ira Assent, Simon Enni, Marianne G. Petersen
The journal of Machine Learning for Biomedical Imaging
Quantifying Topology In Pancreatic Tubular Networks From Live Imaging 3D Microscopy
Kasra Arnavaz, Oswin Krause, Kilian Zepf, Jakob A. Bærentzen, Jelena M. Krivokapic, Silja Heilmann, Pia Nyeng, Aasa Freagen
One earth
Rising temperatures erode human sleep globally
Kelton Minor, Andreas Bjerre-Nielsen, Sigga S. Jonasdottir, Sune Lehmann J., Nick Obradovich
Frontiers in Neuroscience
Uncovering Cortical Units of Processing From Multi-Layered Connectomes
Kristoffer J. Albers, Matthew G. Liptrot, Karen S. Ambrosen, Rasmus Røge, Tue Herlau, Kasper W. Andersen, Hartwig R. Siebner, Lars K. Hansen, Tim B. Dyrby, Kristoffer H. Madsen, Mikkel N. Schmidt, Morten Mørup
Frontiers in Handwriting Recognition (ICFHR 2022)
Date Recognition in Historical Parish Records
Laura C. Piqueras, Constanza Fierro, Jonas F. Lotz, Phillip Rust, Joen Rommedahl, Jeppe K. Due, Christian Igel, Desmond Elliott, Carsten B. Pedersen, Israfel Salazar, Anders Søgaard
IEEE Access
Training Data-Driven Speech Intelligibility Predictors on Heterogeneous Listening Test Data
Mathias B. Pedersen, Asger H. Andersen, Søren H. Jensen, Zheng-Hua Tan, Jesper Jensen
Exploring Gaze for Assisting Freehand Selection-based Text Entry in AR
Mathias N. Lystbæk, Ken Pfeuffer, Jens E. S. Grønbæk, Hans Gellersen
Gaze-Hand Alignment: Combining Eye Gaze and Mid-Air Pointing for Interacting with Menus in Augmented Reality
Mathias N. Lystbæk, Peter Rosenberg, Ken Pfeuffer, Jens E. Grønbæk, Hans Gellersen
Journal of Sleep Research
Automatic detection of abnormal sleeping patterns in stroke patients using high-frequency sleep staging
Mathias Perslev, Anders S. West, Sofie A. Simonsen, Laura B. Ponsaing, Helle K. Iversen, Christian Igel, Poul J. Jennum
Nature Scientific Data
Transition1x – a dataset for building generalizable reactive machine learning potentials
Mathias Schreiner, Arghya Bhowmik, Tejs Vegge, Jonas Busk, Ole Winther
Machine Learning: Science and Technology
NeuralNEB—neural networks can find reaction paths fast
Mathias Schreiner, Arghya Bhowmik, Tejs Vegge, Peter B. Jørgensen, Ole Winther
Nature Climate Change
Nation-wide mapping of tree-level aboveground carbon stocks in Rwanda
Maurice Mugabowindekwe, Martin Brandt, Jérôme Chave, Florian Reiner, David L. Skole, Ankit Kariryaa, Christian Igel, Pierre Hiernaux, Philippe Ciais, Ole Mertz, Xiaoye Tong, Sizhuo Li, Gaspard Rwanyiziri, Thaulin Dushimiyimana, Alain Ndoli, Valens Uwizeyimana, Jens-Peter B. Lillesø, Fabian Gieseke, Compton J. Tucker, Sassan Saatchi, Rasmus Fensholt
Nature Scientific reports
Communicate hope to motivate the public during the COVID-19 pandemic
Michael B. Petersen, Lasse E. Christiansen, Alexander Bor, Marie F. Lindholt, Frederik Jørgensen, Rebecca Adler-Nissen, Andreas Roepstorff, Sune Lehmann J.
Nature Scientific reports
Growing urban bicycle networks
Michael Szell, Sayat Mimar, Tyler Perlman, Gourab Ghoshal, Roberta Sinatra
Sensors 2022
User Based Development and Test of the EXOTIC Exoskeleton: Empowering Individuals with Tetraplegia Using a Compact, Versatile, 5-DoF Upper Limb Exoskeleton Controlled through Intelligent Semi-Automated Shared Tongue Control
Mikkel B. Thøgersen, Mostafa Mahammadi, Muhammad A. Gull, Stefan H. Bengtson, Frederik V. Kobbelgaard, Bo Bentsen, Benjamin Y. A. Khan, Kåre E. Severinsen, Shaoping Bai, Thomas Bak, Thomas B. Moeslund, Anne M. Kanstrup, Lotte N. S. A. Struijk
Association for Computational Linguistics
Word Order Does Matter and Shuffled Language Models Know It
Mostafa Abdou, Vinit Ravishankar, Artut Kulmizev, Anders Søgaard
CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning From Sporadic Temporal Data
Mostafa M. Ghazi, Lauge Sørensen, Sébastien Ourselin, Mads Nielsen
PLOS Computational Biology
Modulation transfer functions for audiovisual speech
Nicolai F. Pedersen, Torsten Dau, Lars K. Hansen, Jens Hjortkjær
Association for Computational Linguistics
Do Transformer Models Show Similar Attention Patterns to Task-Specific Human Gaze?
Oliver Eberle, Stephanie Brandl, Jonas Pilot, Anders Søgaard
Frontiers in Neuroscience
The sense of agency in emerging technologies for human–computer integration: A review
Patricia Cornelio, Patrick Haggard, Kasper Hornbæk, Orestis Georgiou, Joanna Bergström, Sriram Subramanian, Marianna Obrist
IEEE Access
The Minimum Overlap-Gap Algorithm for Speech Enhancement
Poul Hoang, Zheng-Hua Tan, Jan M. de Haan, Jesper Jensen
ISME Communications
Machine learning and deep learning applications in microbiome research
Ricardo H. Medina, Svetlana Kutuzova, Knud N. Nielsen, Joachim Johansen, Lars H. Hansen, Mads Nielsen, Simon Rasmussen
Computer Graphics forum
JOKR: Joint Keypoint Representation for Unsupervised Cross-Doman Motion Retargeting
Ron Mokady, Rotem Tzaban, Sagie Benaim, Amit H. Bermano, Daniel Cohen-Or
Pattern Recognition
Visual explanation of black-box model: Similarity Difference and Uniqueness (SIDU) method
Satya M. Muddamsetty, Mohammad N. S. Jahromi, Andreea E. Ciontos, Laura M. Fenoy, Thomas B. Moeslund
Computers in Industry
Different networks for different purposes: A network science perspective on collaboration and communication in an engineering design project
Sebastiano A. Piccolo, Sune Lehmann J., Anja M. Maier
Nature Human Behaviour
Sleep during travel balances individual sleep needs
Sigga S. Jonasdottir, James Bagrow, Sune Lehmann J.
Applied Sciences 2022
Computer Vision-Based Adaptive Semi-Autonomous Control of an Upper Limb Exoskeleton for Individuals with Tetraplegia
Stefan H. Bengtson, Mikkel B. Thøgersen, Mostafa Mohammadi, Frederik V. Kobbelgaard, Muhammad A. Gull, Lotte N. S. A. Struijk, Thomas Bak, Thomas B. Moeslund
Proceedings of the International AAAI Conference on Web and Social Media
Evaluating Deep Taylor Decomposition for Reliability Assessment in the Wild
Stephanie Brandl, Daniel Hershcovich, Anders Søgaard
Behavior Research Methods
Eye tracking: empirical foundations for a minimal reporting guideline
Kenneth Holmqvist, Saga L. Örbom, Ignace T. C. Hooge, Diederick C. Niehorster, Robert G. Alexander, Richard Andersson, Jeroen S. Benjamins, Pieter Blignaut, Anne-Marie Brouwer, Lewis L. Chuang, Kirsten A. Dalrymple, Denis Drieghe, Matt J. Dunn, Ulrich Ettinger, Susann Fiedler, Tom Foulsham, Jos N. van der Geest, Dan W. Hansen, Samuel B. Hutton, Enkelejda Kasneci, Alan Kingstone, Paul C. Knox, Ellen M. Kok, Helena Lee, Joy Y. Lee, Jukka M. Leppänen, Stephen Macknik, Päivi Majaranta, Susana Martinez-Conde, Antje Nuthmann, Marcus Nyström, Jacob L. Orquin, Jorge Otero-Millan, Soon Y. Park, Stanislav Popelka, Frank Proudlock, Frank Renkewitz, Austin Roorda, Michael Schulte-Mecklenbeck, Bonita Sharif, Frederick Shic, Mark Shovman, Mervyn G. Thomas, Ward Venrooij, Raimondas Zemblys, Roy S. Hessels
National Science Review
Chunyun versus lockdown
Sune Lehmann J.
Nature Scientific reports
Quantifying daily rhythms with non-negative matrix factorization applied to mobile phone data
Talayeh Aledavood, Ilkka Kivimäki, Sune Lehmann J., Jari Saramäki
Association for Computational Linguistics
The Sensitivity of Annotator Bias to Task Definitions in Argument Mining
Terne S. T. Jakobsen, Maria Barrett, Anders Søgaard, David D. Lassen
Virtual Reality
Step on it: asymmetric gain functions improve starting and stopping in virtual reality walking
Thomas van Gemert, Kasper Hornbæk, Joanna Bergström
International Journal of Human-Computer Studies
A user-derived mapping for mid-air haptic experiences
Tor-salve Dalsgaard, Joanna Bergström, Marianna Obrist, Kasper Hornbæk
Nucleic Acids Research
DeepLoc 2.0: multi-label subcellular localization prediction using protein language models
Vineet Thumuluri, José J. A. Armenteros, Alexander R. Johansen, Henrik Nielsen, Ole Winther
Journal of Informetrics
Extracting the interdisciplinary specialty structures in social media data-based research: A clustering-based network approach
Yangliu Fan, Sune Lehmann J., Anders Blok
Neurocomputing
A buffered online transfer learning algorithm with multi-layer network
Zhongfeng Kang, Bo Yang, Mads Nielsen, Lihui Deng, Shantian Yang
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Presenting a Novel Pipeline for Performance Comparison of V-PCC and G-PCC Point Cloud Compression Methods on Datasets with Varying Properties
Albert Christensen, Daniel Lehotský, Mathias Poulsen, Thomas B. Moeslund
Association for Computational Linguistics
Modelling Persuasion through Misuse of Rhetorical Appeals
Amalie Pauli, Leon Derczynski, Ira Assent
Association for Computational Linguistics
Should We Ban English NLP for a Year?
Anders Søgaard
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Joint Far- and Near-End Speech Intelligibility Enhancement Based on the Approximated Speech Intelligibility Index
Andreas J. Fuglsig, Jan Østergaard, Jesper Jensen, Lars S. Bertelsen, Peter Mariager, Zheng-Hua Tan
2022 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)
Semantic Segmentation Guided Real-World Super-Resolution
Andreas Aakerberg, Anders S. Johansen, Kamal Nasrollahi, Thomas B. Moeslund
Association for Computational Linguistics
Sliced at SemEval-2022 Task 11: Bigger, Better? Massively Multilingual LMs for Multilingual Complex NER on an Academic GPU Budget
Barbara Plank
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Neural Image Recolorization for Creative Domains
Boyi Li, Serge Belongie, Ser-Nam Lim, Abe Davis
2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)
AoI and Throughput Optimization for Hybrid Traffic in Cellular Uplink Using Reinforcement Learning
Chien-Cheng Wu, Zheng-Hua Tan, Čedomir Stefanović
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
SieveNet: Estimating the Particle Size Distribution of Kernel Fragments in Whole Plant Corn Silage
Christoffer B. Rasmussen, Kristian Kirk, Thomas B. Moeslund
User Localization using RF Sensing: A Performance comparison between LIS and mmWave Radars
Cristian J. Vaca-Rubio, Dariush Salami, Petar Popovski, Elisabeth De Carvalho, Zheng-Hua Tan, Stephan Sigg
2022 IEEE 32nd International Workshop on Machine Learning for Signal Processing (MLSP)
Floor Map Reconstruction Through Radio Sensing and Learning by a Large Intelligent Surface
Cristian J. Vaca-Rubio, Roberto Pereira, Xavier Mestre, David Gregoratti, Zheng-Hua Tan, Elisabeth De Carvalho, Petar Popovski
Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 (MICCAI 2022)
Feature Robustness and Sex Differences in Medical Imaging: A Case Study in MRI-Based Alzheimer’s Disease Detection
Eike Petersen, Aasa Feragen, Maria L. da C. Zemsch, Anders Henriksen, Oskar E. W. Christensen, Melanie Ganz-Benjaminsen
On Label Granularity and Object Localization
Elijah Cole, Kimberly Wilber, Grant van Horn, Xuan Yang, Marco Fornoni, Pietro Perona, Serge Belongie, Andrew Howard, Oisin Mac Aodha
When Does Contrastive Visual Representation Learning Work?
Elijah Cole, Xuan Yang, Kimberly Wilber, Oisin M. Aodha, Serge Belongie
Association for Computational Linguistics
What Do You Mean by Relation Extraction? A Survey on Datasets and Study on Scientific Relation Classification
Elisa Bassignana, Barbara Plank
Association for Computational Linguistics
CrossRE: A Cross-Domain Dataset for Relation Extraction
Elisa Bassignana, Barbara Plank
Association for Computational Linguistics
Evidence > Intuition: Transferability Estimation for Encoder Selection
Elisa Bassignana, Max Müller-Eberstein, Mike Zhang, Barbara Plank
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Summary on the ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Grand Challenge
Fan Yu, Shiliang Zhang, Pengcheng Guo, Yihui Fu, Zhihao Du, Siqi Zheng, Weilong Huang, Lei Xie, Zheng-Hua Tan, DeLiang Wang, Yanmin Qian, Kong A. Lee, Zhijie Yan, Bin Ma, Xin Xu, Hui Bu
Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset
Grant van Horn, Rui Qian, Kimberly Wilber, Hartwig Adam, Oisin Mac Aodha, Serge Belongie
NeurIPS (2022)
Polynomial Neural Fields for Subband Decomposition and Manipulation
Guandao Yang, Sagie Benaim, Varun Jampani, Kyle Genova, Jonathan T. Barron, Thomas Funkhouser, Bharath Hariharan, Serge Belongie
Image-Based CLIP-Guided Essence Transfer
Hila Chefer, Sagie Benaim, Roni Paiss, Lior Wolf
Proc. IberSPEECH 2022
An Experimental Study on Light Speech Features for Small-Footprint Keyword Spotting
Iván López-Espejo, Zheng-Hua Tan, Jesper Jensen
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (2022)
Detecting Anomalies Reliably in Long-term Surveillance Systems
Jinsong Liu, Ivan Nikolov, Mark P. Philipsen, Thomas B. Moeslund
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Generalized Classification of Satellite Image Time Series with Thermal Positional Encoding
Joachim Nyborg, Charlotte Pelletier, Ira Assent
Multi-Task Classification og Sewer Pipe Defects and Properties using a Cross-Task Graph Neural Network Decoder
Joakim B. Haurum, Meysam Madadi, Sergio Escalera, Thomas B. Moeslund
CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
OVRlap: Perceiving Multiple Locations Simultaneously to Improve Interaction in VR
Jonas Schjerlund, Kasper Hornbæk, Joanna Bergström
Proceedings SPIE
Exploring loss functions for optimising the accuracy of Siamese neural networks in re-identification applications
Jonathan E. Schmidt, Oscar E. Mäkinen, Simon G. F. Nielsen, Anders S. Johansen, Kamal Nasrollahi, Thomas B. Moeslund
Association for Computational Linguistics
Stop Measuring Calibration When Humans Disagree
Joris Baan, Wilker Aziz, Barbara Plank, Raquel Fernandez
Association for Computational Linguistics
Fine-tuning vs From Scratch: Do Vision & Language Models Have Similar Capabilities on Out-of-Distribution Visual Question Answering?
Kristian N. Jensen, Barbara Plank
FewGAN: Generating from the Joint Distribution of a Few Images
Lior Ben-Moshe, Sagie Benaim, Lior Wolf
MOTCOM: The Multi-Object Tracking Dataset Complexity Metric
Malte Pedersen, Joakim B. Haurum, Patrick Dendorfer, Thomas B. Moeslund
Proceedings of the Northern Lights Deep Learning Workshop
Re-Identification of Giant Sunfish using Keypoint Matching
Malte Pedersen, Joakim B. Haurum, Thomas B. Moeslund, Marianne Nyegaard
DiffConv: Analyzing Irregular Point Clouds with an Irregular View
Manxi Lin, Aasa Feragen
Proceedings SPIE
Autonomous monitoring of finishing pigs using side-view cameras and deep learning
Mathias S. Lynge, Kasper S. Henriksen, Thomas B. Moeslund
Patterns
The path toward equal performance in medical machine learning
Eike Petersen, Sune H. Holm, Melanie Ganz-Benjaminsen, Aasa Feragen
Association for Computational Linguistics
Probing for Labeled Dependency Trees
Max Müller-Eberstein, Rob van der Goot, Barbara Plank
Association for Computational Linguistics
Sort by Structure: Language Model Ranking as Dependency Probing
Max Müller-Eberstein, Rob van der Goot, Barbara Plank
Association for Computational Linguistics
Spectral Probing
Max Müller-Eberstein, Rob van der Goot, Barbara Plank
Workshop on Interpretable ML in Healthcare at International Conference on Machine Learning (ICML)
Assessing Bias in Medical AI
Melanie Ganz, Sune H. Holm, Aasa Feragen
Visual Prompt Tuning
Menglin Jia, Luming Tang, Bor-Chun Chen, Claire Cardie, Serge Belongie, Bharath Hariharan, Ser-Nam Lim
Association for Computational Linguistics
SkillSpan: Hard and Soft Skill Extraction from English Job Postings
Mike Zhang, Kristian Jensen, Sif Sonniks, Barbara Plank
Association for Computational Linguistics
Kompetencer: Fine-grained Skill Classification in Danish Job Postings via Distant Supervision and Transfer Learning
Mike Zhang, Kristian N. Jensen, Barbara Plank
Advances in Visual Computing (ISVC 2021)
Real-World Thermal Image Super-Resolution
Moaaz M. J. Allahham, Andreas Aakerberg, Kamal Nasrollahi, Thomas B. Moeslund
Attention-Enabled Object Detection to Improve One-Stage Tracker
Neelu Madan, Kamal Nasrollahi, Thomas B. Moeslund
Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection
Nicolae-Cătălin Ristea, Neelu Madan, Radu T. Ionescu, Kamal Nasrollahi, Fahad S. Khan, Thomas B. Moeslund, Mubarak Shah
Text2Mesh: Text-Driven Neural Stylization for Meshes
Oscar Michel, Roi Bar-On, Richard Liu, Sagie Beniam, Rana Hanocka
Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 (MICCAI 2022)
Histogram-Based Unsupervised Domain Adaptation for Medical Image Classification
Pengfei Diao, Akshay Pai, Christian Igel, Christian H. Krag
The European Acoustics Association
A parameter-conditional neural network framework for modelling parameterized auditory models
Peter A. L. Bysted, Jesper Jensen, Zheng-Hua Tan, Jan Østergaard, Lars Bramsløw
Association for Computational Linguistics
Are Multilingual Sentiment Models Equally Right for the Right Reasons?
Rasmus Jørgensen, Fiammetta Caccavale, Christian Igel, Anders Søgaard
Real-time head-based deep-learning model for gaze probability regions in collaborative VR
Riccardo Bovo, Daniele Giunchi, Ludwig Sidenmark, Hans Gellersen, Enrico Costanza, Thomas Heinis
Association for Computational Linguistics
Frustratingly Easy Performance Improvements for Low-resource Setups: A Tale on BERT and Segment Embeddings
Rob van der Goot, Max Müller-Eberstein, Barbara Plank
MMSports '22: Proceedings of the 5th International ACM Workshop on Multimedia Content Analysis in Sports
SoccerNet 2022 Challenges Results
Silvio Giancola, Anthony Cioppa, Adrien Deliège, Floriane Magera, Vladimir Somers, Le Kang, Xin Zhou, Olivier Barnich, Christophe De Vleeschouwer, Alexandre Alahi, Bernard Ghanem, Marc Van Droogenbroeck, Abdulrahman Darwish, Adrien Maglo, Albert Clapés, Andreas Luyts, Andrei Boiarov, Artur Xarles, Astrid Orcesi, Avijit Shah, Baoyu Fan, Bharath Comandur, Chen Chen, Chen Zhang, Chen Zhao, Chengzhi Lin, Cheuk-Yiu Chan, Chun C. Hui, Dengjie Li, Fan Yang, Fan Liang, Fang Da, Feng Yan, Fufu Yu, Guanshuo Wang, H. A. Chan, He Zhu, Hongwei Kan, Jiaming Chu, Jianming Hu, Jianyang Gu, Jin Chen, João V. B. Soares, Jonas Theiner, Jorge De Corte, José H. Brito, Jun Zhang, Junjie Li, Junwei Liang, Leqi Shen, Lin Ma, Lingchi Chen, Miguel S. Marques, Mike Azatov, Nikita Kasatkin, Ning Wang, Qiong Jia, Quoc C. Pham, Ralph Ewerth, Ran Song, Rengang Li, Rikke Gade, Ruben Debien, Runze Zhang, Sangrok Lee, Sergio Escalera, Shan Jiang, Shigeyuki Odashima, Shimin Chen, Shoichi Masui, Shouhong Ding, Sin-wai Chan, Siyu Chen, Tallal El-Shabrawy, Tao He, Thomas B. Moeslund, Wan-Chi Siu, Wei Zhang, Wei Li, Xiangwei Wang, Xiao Tan, Xiaochuan Li, Xiaolin Wei, Xiaoqing Ye, Xing Liu, Xinying Wang, Yandong Guo, Yaqian Zhao, Yi Yu, Yingying Li, Yue He, Yujie Zhong, Zhenhua Guo, Zhiheng Li
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (2022)
Deep Learning-based Anomaly Detection on X-ray Images of Fuel Cell Electrodes
Simon B. Jensen, Thomas B. Moeslund, Søren J. Andreasen
Direct Analytics of Generalized Deduplication Compressed IoT Data
Aaron Hurst, Qi Zhang, Daniel E. Lucani, Ira Assent
Journal of Politics
Diffusing Political Concerns: How Unemployment Information Passed between Social Ties Influences Danish Voters
James E. Alt, Amalie Jensen, Horacio Larreguy, David D. Lassen, John Marshall
KI - Künstliche Intelligenz
Remember to correct the bias when using deep learning for regression!
Christian Igel, Stefan Oehmcke
PNAS Nexus (2023)
Deep learning enables image-based tree counting, crown segmentation and height prediction at national scale
Sizhuo Li, Martin Brandt, Rasmus Fensholt, Ankit Kariryaa, Christian Igel, Fabian Gieseke, Thomas Nord-Larsen, Stefan Oehmcke, Ask Holm Carlsen, Samuli Junttila, Xiaoye Tong, Alexandre d’Aspremont, Philippe Ciais
Nature Communications
More than one quarter of Africa’s tree cover is found outside areas previously classified as forest
Florian Reiner, Martin Brandt, Xiaoye Tong, David Skole, Ankit Kariryaa, Philippe Ciais, Andrew Davies, Pierre Hiernaux, Jérôme Chave, Maurice Mugabowindekwe, Christian Igel, Stefan Oehmcke, Fabian Gieseke, Sizhuo Li, Siyu Liu, Sassan Saatchi, Peter Boucher, Jenia Singh, Simon Taugourdeau, Morgane Dendoncker, Xiao-Peng Song, Ole Mertz, Compton J. Tucker, Rasmus Fensholt
Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track
Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning
Sebastian Weichwald, Søren W. Mogensen, Tabitha E. Lee, Dominik Baumann, Oliver Kroemer, Isabelle Guyon, Sebastian Trimpe, Jonas Peters, Niklas Pfister
Journal of the American Statistical Association
Toward Causal Inference for Spatio-Temporal Data: Conflict and Forest Loss in Colombia
Rune Christiansen, Matthias Baumann, Tobias Kuemmerle, Miguel D. Mahecha, Jonas Peters
Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence
Identifiability of Sparse Causal Effects using Instrumental Variables
Niklas Pfister, Jonas Peters
A causal framework for distribution generalization
Rune Christiansen, Niklas Pfister, Martin E. Jakobsen, Nicola Gnecco, Jonas Peters
The Econometrics Journal
Distributional robustness of K-class estimators and the PULSE
Martin E. Jakobsen, Jonas Peters
Proceedings of the 39th International Conference on Machine Learning
Exploiting Independent Instruments: Identification and Distribution Generalization
Sorawit Saengkyongam, Leonard Henckel, Niklas Pfister, Jonas Peters
Proceedings of the 39th International Conference on Machine Learning
Invariant Ancestry Search
Phillip B. Mogensen, Nikolaj Thams, Jonas Peters
Journal of Machine Learning Research
Structure Learning for Directed Trees
Martin E. Jakobsen, Rajen D. Shah, Peter Bühlmann, Jonas Peters
Multichannel Speech Enhancement With Own Voice-Based Interfering Speech Suppression for Hearing Assistive Devices
Poul Hoang, Jan M. de Haan, Zheng-Hua Tan, Jesper Jensen
Frontiers in Plant Science
The Herbarium 2021 Half–Earth Challenge Dataset and Machine Learning Competition
Riccardo de Lutio, John Y. Park, Kimberly A. Watson, Stefano D'Aronco, Jan D. Wegner, Jan J. Wieringa, Melissa Tulig, Richard L. Pyle, Timothy J. Gallaher, Gillian Brown, Gordon Guymer, Andrew Franks, Dhahara Ranatunga, Yumiko Baba, Serge Belongie, Fabián A. Michelangeli, Barbara A. Ambrose, Damon P. Little
IEEE Access
iVAE-GAN: Identifiable VAE-GAN Models for Latent Representation Learning
Bjørn U. Dideriksen, Kristoffer Derosche, Zheng-Hua Tan
Weakly-Supervised Cloud Detection with Fixed-Point GANs
Joachim Nyborg, Ira Assent
Association for Computational Linguistics
A Multilingual Benchmark for Probing Negation-Awareness with Minimal Pairs
Mareike Hartmann, Miryam de Lhoneux, Daniel Hershcovich, Yova Kementchedjhieva, Lukas Nielsen, Chen Qiu, Anders Søgaard
Association for Computational Linguistics
Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color
Mostafa Abdou, Artur Kulmizev, Daniel Hershcovich, Stella Frank, Ellie Pavlick, Anders Søgaard
Association for Computational Linguistics
On Language Models for Creoles
Heather Lent, Emanuele Bugliarello, Miryam de Lhoneux, Chen Qiu, Anders Søgaard
Association for Computational Linguistics
How Universal is Genre in Universal Dependencies?
Max Müller-Eberstein, Rob van der Goot, Barbara Plank
Iproceedings
Explainability of Convolutional Neural Networks for Dermatological Diagnosis
Raluca Jalaboi, Mauricio O. Arteaga, Dan R. Jørgensen, Ionela Manole, Oana I. Bozdog, Andrei Chiriac, Ole Winther, Alfiia Galimzianova
Journal of Magnetic Resonance Imaging
Cross-Cohort Automatic Knee MRI Segmentation With Multi-Plana U-Nets
Mathias Perslev, Akshay Pai, Jos Runhaar, Christian Igel, Erik B. Dam
Fine-Grained Image Analysis with Deep Learning: A Survey
Xiu-Shen Wei, Yi-Zhe Song, Oisin M. Aodha, Jianxin Wu, Yuxin Peng, Jinhui Tang, Jian Yang, Serge Belongie
Journal of Artificial Intelligence Research
Learning from Disagreement: A Survey
Alexandra N. Uma, Tommaso Fornaciari, Dirk Hovy, Silviu Paun, Barbara Plank, Massimo Poesio
IEEE Access
Deep Spoken Keyword Spotting: An Overview
Ivan Lopez-Espejo, Zheng-Hua Tan, John H. L. Hansen, Jesper Jensen