Ronny Luss
Publications by Year
Research Areas
Explainable Artificial Intelligence (XAI), Topic Modeling, Sparse and Compressive Sensing Techniques, Adversarial Robustness in Machine Learning, Statistical Methods and Inference
Most-Cited Works
- → One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques(2019)263 cited
- → Explanations based on the Missing: Towards Contrastive Explanations with\n Pertinent Negatives(2018)174 cited
- → Predicting abnormal returns from news using text classification(2012)140 cited
- → Conditional Gradient Algorithmsfor Rank-One Matrix Approximations with a Sparsity Constraint(2013)107 cited
- → Support vector machine classification with indefinite kernels(2009)103 cited
- AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models(2020)
- → AI explainability 360(2020)55 cited
- → Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AI(2022)55 cited
- → Efficient regularized isotonic regression with application to gene–gene interaction search(2012)54 cited