Marco Túlio Ribeiro

Author

Marco Túlio Ribeiro

University of Washington ORCID

Also Known As

Marco Tulio Ribeiro, Marco Túlio Ribeiro, Ribeiro, Marco Tulio

Publications

20.4K

Citations

H-Index

Concepts

All Affiliations

University of Washington Microsoft Research (United Kingdom)Microsoft (United States)University of California, Irvine Carnegie Mellon University

About

Marco Túlio Ribeiro is an author at University of Washington specializing in engineering, data science, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	18	20	19.4K
2	Language Studies	6	6	1.8K
3	Arts	3	3	14.5K
4	Cognitive Science	3	3	444
5	Education	1	1	36

Marco Túlio Ribeiro

Publications

20.4K

Citations

H-Index

Page 1

	Year	Citations
"Why Should I Trust You?" Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin Artificial IntelligenceEngineeringMachine LearningTrust Management ArchitectureVerification	2016	14K
Anchors: High-Precision Model-Agnostic Explanations Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin Proceedings of the AAAI Conference on Artificial Intelligence Artificial IntelligenceEngineeringMachine LearningData ScienceHigh-precision Model-agnostic Explanations	2018	2K
Sparks of Artificial General Intelligence: Early experiments with GPT-4 Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningIntelligent SystemsLarge Language Model	2023	1.5K
Model-Agnostic Interpretability of Machine Learning Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningData ScienceExplanation-based Learning	2016	690
Semantically Equivalent Adversarial Rules for Debugging NLP models Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin	2018	463
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningAny ClassifierMachine Learning Models	2016	346
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, EngineeringCausal InferenceLanguage ProcessingText MiningNatural Language Processing	2021	148
Errudite: Scalable, Reproducible, and Testable Error Analysis Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer,	2019	129
Pareto-efficient hybridization for multi-objective recommender systems Marco Túlio Ribeiro, Anísio Lacerda, Adriano Veloso, Artificial IntelligenceStrength Pareto ApproachEngineeringMachine LearningLearning To Rank	2012	126
Multiobjective Pareto-Efficient Approaches for Recommender Systems Marco Túlio Ribeiro, Nívio Ziviani, Edleno Silva de Moura, ACM Transactions on Intelligent Systems and Technology Ranking AlgorithmEngineeringMultiobjective Pareto-efficient ApproachesLearning To RankText Mining	2014	126

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