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Machine Learning|July 18, 2025
Deep latent force models: ODE-based process convolutions for Bayesian deep learningThomas Baldwin-McDonald, Xinxing Shi, Mingxin Shen, et al.Machine Learning|July 18, 2025
Offline reinforcement learning for learning to dispatch for job shop schedulingJesse van Remmerden, Zaharah Bukhsh, Yingqian ZhangMachine Learning|August 12, 2024
XAI-TRIS: non-linear image benchmarks to quantify false positive post-hoc attribution of feature importanceBenedict Clark, Rick Wilming, Stefan HaufeMachine Learning|August 14, 2023
Learning system parameters from turing patternsDavid Schnörr, Christoph SchnörrMachine Learning|May 6, 2024
Deep reinforcement learning for multi-class imbalanced training: applications in healthcareJenny Yang, Rasheed El-Bouri, Odhran O'Donoghue, et al.Machine Learning|June 26, 2023
PreCoF: counterfactual explanations for fairnessSofie Goethals, David Martens, Toon CaldersMachine Learning|April 3, 2026
Your Next State-of-the-Art Could Come from Another Domain: A Cross-Domain Analysis of Hierarchical Text ClassificationNan Li, Bo Kang, Tijl De BieMachine Learning|November 29, 2021
Conditional t-SNE: more informative t-SNE embeddingsBo Kang, Darío García García, Jefrey Lijffijt, et al.Machine Learning|September 20, 2022
Machine unlearning: linear filtration for logit-based classifiersThomas Baumhauer, Pascal Schöttle, Matthias ZeppelzauerPageof 6