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Evaluating the Explainable AI Method Grad-CAM for Breath Classification on Newborn Time Series Data2024 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access
Camelia Oprea, Mike Grüne, Mateusz Buglowski, Lena Olivier, Thorsten W Orlikowsky, Stefan Kowalewski, +2 more
0citations -
AutoSourceID-Classifier. Star-Galaxy Classification using a Convolutional Neural Network with Spatial Information2023 arXiv (Cornell University) preprint Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access
Fiorenzo Stoppa, Saptashwa Bhattacharyya, Paul M. Vreeswijk, S. Caron, Gabrijela Zaharijaš, S. Bloemen, +6 more
1citations -
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification2021 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access
Jiancheng Yang, Rui Shi, Donglai Wei, Zequan Liu, Lin Zhao, Hanspeter Pfister, +1 more
73citations -
Ten numbers from the Laplace–Beltrami spectrum facilitate training-free classification of protein structures based on surface shape2026 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Protein Structure and Dynamics Open access
Miriam Fernández-Giro Muñoz, Jessica Emonts, Benjamin Berkels, Johannes F. Buyel
0citations -
Extreme Deconvolution Reimagined: Conditional Densities via Neural Networks and an Application in Quasar Classification2024 arXiv (Cornell University) preprint Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access
Yi Kang, Joseph F. Hennawi, Jan–Torge Schindler, John Tamanas, Riccardo Nanni
1citations -
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 -
Tree-Based Learning on Amperometric Time Series Data Demonstrates High Accuracy for Classification2023 arXiv (Cornell University) preprint Chemistry Electrochemical Analysis and Applications Open access
Jeyashree Krishnan, Zeyu Lian, Pieter E. Oomen, Xiulan He, Soodabeh Majdi, Andreas Schuppert, +1 more
1citations -
Evidence-based recommendations for gene-specific ACMG/AMP variant classification from the ClinGen ENIGMA BRCA1 and BRCA2 Variant Curation Expert Panel2024 medRxiv preprint Biochemistry, Genetics and Molecular Biology BRCA gene mutations in cancer Open access
Michael T. Parsons, Miguel de la Hoya, Marcy E. Richardson, Emma Tudini, Windy Berkofsky‐Fessler, Sandrine M. Caputo, +36 more
6citations