Maxim S. Kovalev
University of Southern California(US)California Southern University(US)
Publications by Year
Research Areas
Explainable Artificial Intelligence (XAI), Machine Learning and Data Classification, Adversarial Robustness in Machine Learning, Statistical Methods and Inference, Neural Networks and Applications
Most-Cited Works
- → A deep forest classifier with weights of class probability distribution subsets(2019)45 cited
- → The natural language explanation algorithms for the lung cancer computer-aided diagnosis system(2020)38 cited
- → Imprecise weighted extensions of random forests for classification and regression(2020)34 cited
- → INTEGRATION OF ARTIFICIAL NEURAL NETWORKS AND KNOWLEDGE BASES(2018)23 cited
- → Counterfactual Explanation of Machine Learning Survival Models(2021)21 cited
- → A Pipeline for Classifying Deleterious Coding Mutations in Agricultural Plants(2018)18 cited
- → An Explanation Method for Siamese Neural Networks(2021)13 cited
- → SurvLIME: A method for explaining machine learning survival models(2020)10 cited
- → Heat stress analysis suggests a genetic basis for tolerance in Macrocystis pyrifera across developmental stages(2024)9 cited
- → An Ensemble of Triplet Neural Networks for Differential Diagnostics of Lung Cancer(2019)8 cited