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
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
151-175 of 532