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Tree-based learning on amperometric time series data demonstrates high accuracy for classification2024 International Journal of Data Science and Analytics article Computer Science Time Series Analysis and Forecasting Open access
Jeyashree Krishnan, Zeyu Lian, Pieter E. Oomen, Mohaddeseh Amir-Aref, Xiulan He, Soodabeh Majdi, +2 more
2citations -
Machine learning reveals sex differences in distinguishing between conduct-disordered and neurotypical youth based on emotion processing dysfunction2025 BMC Psychiatry article Psychology Psychopathy, Forensic Psychiatry, Sexual Offending Open access
Gregor Kohls, Erik M. Elster, Peter Tiňo, Graeme F. Fairchild, Arne Popma, Christine Margarete Freitag, +3 more
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 -
Swarm learning for decentralized artificial intelligence in cancer histopathology2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access
Oliver Lester Saldanha, Philip Quirke, Nicholas Paul West, Jacqueline A. James, Maurice Bernard Loughrey, Heike Irmgard Grabsch, +20 more
22citations -
Comprehensive deep learning-assisted multi-condition analysis of knee MRI studies improves resident radiologist performance2025 European Radiology article Medicine Artificial Intelligence in Healthcare and Education Open access
Roman Vuskov, Alexander Hermans, M Pixberg, Jonas Müller-Hübenthal, Andreas Brauksiepe, Eric Corban, +6 more
5citations -
End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study2023 The Lancet Digital Health article Computer Science AI in cancer detection Open access cited by 1 patent
Xiaofeng Jiang, Michael Hoffmeister, Hermann Brenner, Hannah Sophie Muti, Tanwei Yuan, Sebastian Foersch, +13 more
108citations -
Deep Learning for Electricity Price Forecasting: A Review of Day-Ahead, Intraday, and Balancing Electricity Markets2026 International Conference on the European Energy Market (EEM) conference-paper Engineering Energy Load and Power Forecasting Open access
Runyao Yu, Derek W. Bunn, Julia Lin, Jochen Stiasny, Tara Esterl, Yuchen Tao, +4 more
7citations