Definitions, methods, and applications in interpretable machine learning
2019 · Proceedings of the National Academy of Sciences · 1,984 citations
https://doi.org/10.1073/pnas.1900654116
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Chandan Singh
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Chandan Singh is an academic researcher from Indian Institute of Management Indore. The author has contributed to research in topics: Explainable Artificial Intelligence (XAI) & Topic Modeling & Natural Language Processing Techniques. The author has an h-index of 17, co-authored 138 publications.
ORCID: 0000-0003-0318-2340Papers by this author
worksFast Interpretable Greedy-Tree Sums
2025 · Proceedings of the National Academy of Sciences · 7 citations
https://doi.org/10.1073/pnas.2310151122
Analyzing patient perspectives with large language models: a cross-sectional study of sentiment and thematic classification on exception from informed consent
2025 · Scientific Reports · 6 citations
https://doi.org/10.1038/s41598-025-89996-w
Transformation Importance with Applications to Cosmology
2021 · HAL (Le Centre pour la Communication Scientifique Directe) · 0 citations
Data underlying figs in Singh & Levy, 2016: A Consensus Layer V Pyramidal Neuron Can Sustain Interpulse-Interval Coding
2016 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.3858342
OMNIGUARD: An Efficient Approach for AI Safety Moderation Across Languages and Modalities
2025 · arXiv (Cornell University) · 0 citations
https://doi.org/10.48550/arxiv.2505.23856
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