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Andrea Loreggia
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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
972021
Deep learning for algorithm portfolios
A Loreggia, Y Malitsky, H Samulowitz, V Saraswat
Proceedings of the aaai conference on artificial intelligence 30 (1), 2016
962016
Restricted manipulation in iterative voting: Condorcet efficiency and Borda score
U Grandi, A Loreggia, F Rossi, KB Venable, T Walsh
Algorithmic Decision Theory: Third International Conference, ADT 2013 …, 2013
632013
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
482018
Plansformer: Generating symbolic plans using transformers
V Pallagani, B Muppasani, K Murugesan, F Rossi, L Horesh, B Srivastava, ...
arXiv preprint arXiv:2212.08681, 2022
342022
Controlling Elections by Replacing Candidates or Votes.
A Loreggia, N Narodytska, F Rossi, KB Venable, T Walsh
AAMAS 15, 1737-1738, 2015
342015
Preferences and Ethical Priorities: Thinking Fast and Slow in AI.
F Rossi, A Loreggia
AAMAS, 3-4, 2019
312019
A notion of distance between cp-nets
A Loreggia, N Mattei, F Rossi, KB Venable
Proc. of AAMAS, 955-963, 2018
312018
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), 22, 2021
292021
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
272020
A Borda count for collective sentiment analysis
U Grandi, A Loreggia, F Rossi, V Saraswat
Annals of Mathematics and Artificial Intelligence 77, 281-302, 2016
242016
Value alignment via tractable preference distance
A Loreggia, N Mattei, F Rossi, KB Venable
Artificial Intelligence Safety and Security, 249-261, 2018
232018
Understanding the capabilities of large language models for automated planning
V Pallagani, B Muppasani, K Murugesan, F Rossi, B Srivastava, L Horesh, ...
arXiv preprint arXiv:2305.16151, 2023
212023
Thinking fast and slow in AI: The role of metacognition
MB Ganapini, M Campbell, F Fabiano, L Horesh, J Lenchner, A Loreggia, ...
International Conference on Machine Learning, Optimization, and Data Science …, 2022
212022
From Sentiment Analysis to Preference Aggregation.
U Grandi, A Loreggia, F Rossi, VA Saraswat
ISAIM, 2014
182014
The impact of algorithms for online content filtering or moderation - Upload filters
G Sartor, A Loreggia
http://www.europarl.europa.eu/RegData/etudes/STUD/2020/657101/IPOL_STU(2020 …, 2020
17*2020
On the prospects of incorporating large language models (llms) in automated planning and scheduling (aps)
V Pallagani, BC Muppasani, K Roy, F Fabiano, A Loreggia, K Murugesan, ...
Proceedings of the International Conference on Automated Planning and …, 2024
152024
An empirical study on ensemble of segmentation approaches
L Nanni, A Lumini, A Loreggia, A Formaggio, D Cuza
Signals 3 (2), 341-358, 2022
152022
Deep learning for algorithm portfolios
A Loreggia, Y Malitsky, HC Samulowitz, VA Saraswat
US Patent 9,547,821, 2017
142017
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 2019 (3), 159-177, 2019
132019
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학술자료 1–20