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Boosted dictionaries for image restoration based on sparse representations., , , and . ICASSP, page 1583-1587. IEEE, (2013)Learning dictionaries with graph embedding constraints., , , and . ACSCC, page 1974-1978. IEEE, (2012)Generating Contrastive Explanations with Monotonic Attribute Functions., , , , , and . CoRR, (2019)Think Your Artificial Intelligence Software Is Fair? Think Again., , , , , , , , , and 7 other author(s). IEEE Software, 36 (4): 76-80 (2019)Variational Inference of Disentangled Latent Concepts from Unlabeled Observations., , and . ICLR (Poster), OpenReview.net, (2018)TreeView: Peeking into Deep Neural Networks Via Feature-Space Partitioning, , , and . (2016)cite arxiv:1611.07429Comment: Presented at NIPS 2016 Workshop on Interpretable Machine Learning in Complex Systems.Causal Graphs Underlying Generative Models: Path to Learning with Limited Data., , , , and . CoRR, (2022)Assessment of Prediction Intervals Using Uncertainty Characteristics Curves., , , , and . CoRR, (2023)Effective Human-AI Teams via Learned Natural Language Rules and Onboarding., , , , , and . CoRR, (2023)Causal Feature Selection for Algorithmic Fairness., , , and . SIGMOD Conference, page 276-285. ACM, (2022)