Research

P1 Publications

  • 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

  • Image Analysis (SCIA 2023)

    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

  • Image Analysis (SCIA 2023)

    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

  • Forest Ecology and Management

    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

  • ACM Transactions on Computer-Human Interaction

    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

  • IEEE Transactions on Knowledge and Data Engineering

    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