Benjamin Négrevergne
About
Benjamin Négrevergne has authored 8 papers that have received a total of 189 indexed citations.
This includes 4 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 4 papers in Information Systems. The topics of these papers are Rough Sets and Fuzzy Logic (4 papers), Data Mining Algorithms and Applications (4 papers) and Adversarial Robustness in Machine Learning (1 paper). Benjamin Négrevergne is often cited by papers focused on Rough Sets and Fuzzy Logic (4 papers), Data Mining Algorithms and Applications (4 papers) and Adversarial Robustness in Machine Learning (1 paper) and collaborates with scholars based in France and Belgium. Benjamin Négrevergne's co-authors include Alexandre Termier, Jamal Atif, Yann Chevaleyre, Tias Guns and Florian Yger and has published in prestigious journals such as Lecture notes in computer science, International Journal of Approximate Reasoning and Data Mining and Knowledge Discovery.
In The Last Decade
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