Showing 1–16 of 16 results
/ Date/ Name
Aug 2, 2024Assessing Robustness of Machine Learning Models using Covariate PerturbationsSep 9, 2021Supervised Linear Dimension-Reduction Methods: Review, Extensions, and ComparisonsAug 22, 2018Model Interpretation: A Unified Derivative-based Framework for Nonparametric Regression and Supervised Machine LearningMay 23, 2022Interpretable Feature Engineering for Time Series Predictors using Attention NetworksJun 24, 2022Quantifying Inherent Randomness in Machine Learning AlgorithmsJun 5, 2018Explainable Neural Networks based on Additive Index ModelsNov 17, 2021Traversing the Local Polytopes of ReLU Neural Networks: A Unified Approach for Network VerificationApr 5, 2020Adaptive Explainable Neural Networks (AxNNs)Jul 26, 2023Using Markov Boundary Approach for Interpretable and Generalizable Feature SelectionJul 28, 2020Supervised Machine Learning Techniques: An Overview with Applications to BankingNov 15, 2022Behavior of Hyper-Parameters for Selected Machine Learning Algorithms: An Empirical InvestigationOct 25, 2020Improving the Reconstruction of Disentangled Representation Learners via Multi-Stage ModelingDec 1, 2025Who Judges the Judge? LLM Jury-on-Demand: Building Trustworthy LLM Evaluation SystemsMay 24, 2010Global Modeling and Prediction of Computer Network TrafficMay 25, 2010Network-wide Statistical Modeling and Prediction of Computer TrafficNov 17, 2024Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations