| 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 | 123 | 2021 |
| Deep learning for algorithm portfolios A Loreggia, Y Malitsky, H Samulowitz, V Saraswat Proceedings of the aaai conference on artificial intelligence 30 (1), 2016 | 101 | 2016 |
| 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 | 65 | 2013 |
| Plansformer: Generating symbolic plans using transformers V Pallagani, B Muppasani, K Murugesan, F Rossi, L Horesh, B Srivastava, ... arXiv preprint arXiv:2212.08681, 2022 | 53 | 2022 |
| 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 | 52 | 2018 |
| 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 | 42 | 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 | 38 | 2024 |
| Controlling Elections by Replacing Candidates or Votes. A Loreggia, N Narodytska, F Rossi, KB Venable, T Walsh AAMAS 15, 1737-1738, 2015 | 35 | 2015 |
| 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 | 34 | 2021 |
| Preferences and Ethical Priorities: Thinking Fast and Slow in AI. F Rossi, A Loreggia AAMAS, 3-4, 2019 | 33 | 2019 |
| 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 | 31 | 2022 |
| A notion of distance between cp-nets A Loreggia, N Mattei, F Rossi, KB Venable Proc. of AAMAS, 955-963, 2018 | 30 | 2018 |
| 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 | 26 | 2023 |
| 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 | 26 | 2016 |
| Value alignment via tractable preference distance A Loreggia, N Mattei, F Rossi, KB Venable Artificial Intelligence Safety and Security, 249-261, 2018 | 23 | 2018 |
| Varied image data augmentation methods for building ensemble R Bravin, L Nanni, A Loreggia, S Brahnam, M Paci IEEE Access 11, 8810-8823, 2023 | 20 | 2023 |
| An empirical study on ensemble of segmentation approaches L Nanni, A Lumini, A Loreggia, A Formaggio, D Cuza Signals 3 (2), 341-358, 2022 | 20 | 2022 |
| When is it acceptable to break the rules? Knowledge representation of moral judgements based on empirical data E Awad, S Levine, A Loreggia, N Mattei, I Rahwan, F Rossi, ... Autonomous Agents and Multi-Agent Systems 38 (2), 35, 2024 | 19* | 2024 |
| A principle-based approach to AI: the case for European Union and Italy F Corea, F Fossa, A Loreggia, S Quintarelli, S Sapienza Ai & Society 38 (2), 521-535, 2023 | 19 | 2023 |
| 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 | 18* | 2020 |
Nicholas MatteiAssociate Professor, Tulane Universitytulane.edu의 이메일 확인됨