Andrea Loreggia
Cited by
Cited by
Deep learning for algorithm portfolios
A Loreggia, Y Malitsky, H Samulowitz, V Saraswat
Thirtieth AAAI Conference on Artificial Intelligence, 2016
Restricted manipulation in iterative voting: Condorcet efficiency and Borda score
U Grandi, A Loreggia, F Rossi, KB Venable, T Walsh
International Conference on Algorithmic Decision Theory, 181-192, 2013
Preferences and ethical principles in decision making
A Loreggia, N Mattei, F Rossi, KB Venable
Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 222-222, 2018
Controlling Elections by Replacing Candidates or Votes.
A Loreggia, N Narodytska, F Rossi, KB Venable, T Walsh
AAMAS 15, 1737-1738, 2015
Thinking fast and slow in AI
G Booch, F Fabiano, L Horesh, K Kate, J Lenchner, N Linck, A Loreggia, ...
Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 15042 …, 2021
A notion of distance between cp-nets
A Loreggia, N Mattei, F Rossi, KB Venable
Proc. of AAMAS, 955-963, 2018
Value alignment via tractable preference distance
A Loreggia, N Mattei, F Rossi, KB Venable
Artificial Intelligence Safety and Security, 249-261, 2018
Preferences and Ethical Priorities: Thinking Fast and Slow in AI.
F Rossi, A Loreggia
AAMAS, 3-4, 2019
A Borda count for collective sentiment analysis
U Grandi, A Loreggia, F Rossi, V Saraswat
Annals of Mathematics and Artificial Intelligence 77 (3), 281-302, 2016
From Sentiment Analysis to Preference Aggregation.
U Grandi, A Loreggia, F Rossi, VA Saraswat
ISAIM, 2014
Voting with random classifiers (VORACE): theoretical and experimental analysis
C Cornelio, M Donini, A Loreggia, MS Pini, F Rossi
Autonomous Agents and Multi-Agent Systems 35 (2), 1-31, 2021
Intelligenza artificiale. Cos’ è davvero, come funziona, che effetti avrà
F Corea, CG Ferrauto, F Fossa, A Loreggia, S Quintarelli, S Sapienza
Bollati Boringhieri, 2020
CPMetric: Deep Siamese Networks for Metric Learning on Structured Preferences
A Loreggia, N Mattei, F Rossi, KB Venable
International Joint Conference on Artificial Intelligence, 217-234, 2019
Deep learning for algorithm portfolios
A Loreggia, Y Malitsky, HC Samulowitz, VA Saraswat
US Patent 9,547,821, 2017
Iterative voting and multi-mode control in preference aggregation
A Loreggia
Intelligenza Artificiale 8 (1), 39-51, 2014
AI: profili etici. Una prospettiva etica sull'Intelligenza Artificiale: princìpi, diritti e raccomandazioni
S Quintarelli, F Corea, F Fossa, A Loreggia, S Sapienza
BioLaw Journal-Rivista di BioDiritto, 183-204, 2019
Making human-like trade-offs in constrained environments by learning from demonstrations
A Glazier, A Loreggia, N Mattei, T Rahgooy, F Rossi, KB Venable
arXiv preprint arXiv:2109.11018, 2021
The impact of algorithms for online content filtering or moderation - Upload filters
G Sartor, A Loreggia …, 2020
When is it morally acceptable to break the rules? A Preference-Based Approach
E Awad, S Levine, A Loreggia, N Mattei, I Rahwan, F Rossi, ...
12th multidisciplinary workshop on advances in preference handling (MPREF 2020), 2020
Logical conditional preference theories
C Cornelio, A Loreggia, V Saraswat
arXiv preprint arXiv:1504.06374, 2015
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