Projects per year
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Dive into the research topics where Ferdinando Fioretto is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 2 Active
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Collaborative Research: SaTC: CORE: Small: Privacy and Fairness in Critical Decision Making
10/1/21 → 9/30/24
Project: Research project
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Collaborative Research: RI: Small: Deep Constrained Learning for Power Systems
10/1/20 → 9/30/23
Project: Research project
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Differentially-Private Heat and Electricity Markets Coordination
Mitridati, L., Romei, E., Hug, G. & Fioretto, F., 2022, 2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022. Institute of Electrical and Electronics Engineers Inc., (2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey
Fioretto, F., Tran, C., Van Hentenryck, P. & Zhu, K., 2022, Proceedings of the 31st International Joint Conference on Artificial Intelligence, IJCAI 2022. De Raedt, L. & De Raedt, L. (eds.). International Joint Conferences on Artificial Intelligence, p. 5470-5477 8 p. (IJCAI International Joint Conference on Artificial Intelligence).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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End-to-End Learning for Fair Ranking Systems
Kotary, J., Fioretto, F., Van Hentenryck, P. & Zhu, Z., Apr 25 2022, WWW 2022 - Proceedings of the ACM Web Conference 2022. Association for Computing Machinery, Inc, p. 3520-3530 11 p. (WWW 2022 - Proceedings of the ACM Web Conference 2022).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
Integrating Machine Learning and Optimization to Boost Decision Making
Fioretto, F., 2022, Proceedings of the 31st International Joint Conference on Artificial Intelligence, IJCAI 2022. De Raedt, L. & De Raedt, L. (eds.). International Joint Conferences on Artificial Intelligence, p. 5808-5812 5 p. (IJCAI International Joint Conference on Artificial Intelligence).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Learning Solutions for Intertemporal Power Systems Optimization with Recurrent Neural Networks
Mohammadian, M., Baker, K., Dinh, M. H. & Fioretto, F., 2022, 2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022. Institute of Electrical and Electronics Engineers Inc., (2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Press and Media
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N.C. State: Researchers Show How Network Pruning Can Skew Deep Learning Models
11/3/22
1 item of Media coverage
Press/Media: Expert Comment
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How network pruning can skew deep learning models
11/2/22
4 items of Media coverage
Press/Media: Expert Comment
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Researchers Show How Network Pruning Can Skew Deep Learning Models
11/2/22
4 items of Media coverage
Press/Media: Expert Comment
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NMSU alumnus gains international recognition for research on privacy and fairness in AI
7/18/22 → 9/9/22
7 items of Media coverage
Press/Media: Expert Comment
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NMSU alum gains acclaim for research on AI privacy
9/4/22
1 item of Media coverage
Press/Media: Expert Comment