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Machine Learning|December 15, 2020
How artificial intelligence and machine learning can help healthcare systems respond to COVID-19Mihaela van der Schaar, Ahmed M Alaa, Andres Floto, et al.Machine Learning|October 19, 2021
MLife: a lite framework for machine learning lifecycle initializationCong Yang, Wenfeng Wang, Yunhui Zhang, et al.Machine Learning|October 8, 2021
IntelligentPooling: Practical Thompson Sampling for mHealthSabina Tomkins, Peng Liao, Predrag Klasnja, et al.Machine Learning|November 1, 2021
autoBOT: evolving neuro-symbolic representations for explainable low resource text classificationBlaž Škrlj, Matej Martinc, Nada Lavrač, et al.Machine Learning|November 16, 2020
Embedding-based Silhouette community detectionBlaž Škrlj, Jan Kralj, Nada LavračMachine Learning|November 11, 2021
A framework for the fine-grained evaluation of the instantaneous expected value of soccer possessionsJavier Fernández, Luke Bornn, Daniel CervoneMachine Learning|June 28, 2022
Relating instance hardness to classification performance in a dataset: a visual approachPedro Yuri Arbs Paiva, Camila Castro Moreno, Kate Smith-Miles, et al.Machine Learning|May 25, 2022
Scrutinizing XAI using linear ground-truth data with suppressor variablesRick Wilming, Céline Budding, Klaus-Robert Müller, et al.Machine Learning|February 20, 2026
Linear Causal Discovery with Interventional ConstraintsZhigao Guo, Feng DongMachine Learning|March 13, 2023
Responsible model deployment via model-agnostic uncertainty learningPreethi Lahoti, Krishna Gummadi, Gerhard WeikumPageof 6