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Counterfactual Diffusion Models for Interpretable Explanations of Artificial Intelligence Models in Pathology2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access
Laura Žigutytė, Tim Lenz, Tianyu Han, Katherine Jane Hewitt, Nic Gabriel Reitsam, Sebastian Foersch, +5 more
7citations -
Per-run Algorithm Selection with Warm-starting using Trajectory-based Features2022 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access
Ana Kostovska, Anja Jankovič, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, +1 more
2citations -
A Triplet-learnt Coarse-to-Fine Reranking for Vehicle Re-identification2020 International Conference on Pattern Recognition Applications and Methods conference-paper Computer Science Video Surveillance and Tracking Methods Open access
Efklidis Katsaros, Henri Bouma, Arthur van Rooijen, Elise Dusseldorp
6citations -
AI Species Identification Using Image and Sound Recognition for Citizen Science, Collection Management and Biomonitoring: From Training Pipeline to Large-Scale Models2024 Biodiversity Information Science and Standards article Computer Science Advanced Neural Network Applications Open access
Laurens Hogeweg, Django Brunink, Khadija Ezzaki-Chokri, Wilfred Gerritsen, Rita Pucci, Burooj Ghani, +2 more
3citations -
Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised trials and clinical cohorts
Sarah Volinsky-Fremond, Sonali Andani, Jurriaan Barkey Wolf, Jouke Dijkstra, Sinead Melsbach, Jan J. Jobsen, +18 more
134citations -
Deep Frequency Re-calibration U-Net for Medical Image Segmentation2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) conference-paper Computer Science Medical Image Segmentation Techniques cited by 1 patent
Reza Azad, I Afshin Bozorgpour, Maryam Asadi-Aghbolaghi, Dorit Merhof, Sérgio Escalera
61citations -
Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders2021 PLoS Computational Biology article Computer Science Human Pose and Action Recognition Open access
Matthew R Whiteway, Dan Biderman, Yoni Friedman, Mario Dipoppa, E. Kelly Buchanan, Anqi Wu, +11 more
34citations -
Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Human Pose and Action Recognition Open access
Matthew R Whiteway, Dan Biderman, Yoni Friedman, Mario Dipoppa, E. Kelly Buchanan, Anqi Wu, +11 more
9citations -
COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) conference-paper Computer Science Adversarial Robustness in Machine Learning Open access
Laurens Hogeweg, Rajesh Gangireddy, Django Brunink, Vincent J. Kalkman, L. J. Cornelissen, Jacob W. Kamminga
5citations -
COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification2024 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access
Laurens Hogeweg, Rajesh Gangireddy, Django Brunink, Vincent J. Kalkman, L. J. Cornelissen, Jacob W. Kamminga
2citations -
A recurrent neural network architecture to model physical activity energy expenditure in older people2022 Data Mining and Knowledge Discovery article Computer Science Context-Aware Activity Recognition Systems Open access
Stylianos Paraschiakos, Cláudio Rebelo de Sá, Jeremiah Okai, P. Eline Slagboom, Marian Beekman, Arno Knobbe
31citations