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Gabriele La Malfa
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2020 – today
- 2024
- [c4]Gabriele La Malfa, Jie M. Zhang, Michael Luck, Elizabeth Black:
Using Protected Attributes to Consider Fairness in Multi-Agent Systems. AEQUITAS@ECAI 2024 - [c3]Emanuele La Malfa, Gabriele La Malfa, Giuseppe Nicosia, Vito Latora:
Deep Neural Networks via Complex Network Theory: A Perspective. IJCAI 2024: 4361-4369 - [e6]Giuseppe Nicosia
, Varun Ojha
Machine Learning, Optimization, and Data Science - 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers, Part I. Lecture Notes in Computer Science 14505, Springer 2024, ISBN 978-3-031-53968-8 [contents] - [e5]Giuseppe Nicosia
Machine Learning, Optimization, and Data Science - 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers, Part II. Lecture Notes in Computer Science 14506, Springer 2024, ISBN 978-3-031-53965-7 [contents] - [i4]Emanuele La Malfa, Gabriele La Malfa, Giuseppe Nicosia, Vito Latora:
Deep Neural Networks via Complex Network Theory: a Perspective. CoRR abs/2404.11172 (2024) - [i3]Gabriele La Malfa, Jie M. Zhang, Michael Luck, Elizabeth Black:
Using Protected Attributes to Consider Fairness in Multi-Agent Systems. CoRR abs/2410.12889 (2024) - 2023
- [e4]Giuseppe Nicosia
Machine Learning, Optimization, and Data Science - 8th International Workshop, LOD 2022, Certosa di Pontignano, Italy, September 19-22, 2022, Revised Selected Papers, Part I. Lecture Notes in Computer Science 13810, Springer 2023, ISBN 978-3-031-25598-4 [contents] - [e3]Giuseppe Nicosia
Machine Learning, Optimization, and Data Science - 8th International Workshop, LOD 2022, Certosa di Pontignano, Italy, September 19-22, 2022, Revised Selected Papers, Part II. Lecture Notes in Computer Science 13811, Springer 2023, ISBN 978-3-031-25890-9 [contents] - 2022
- [e2]Giuseppe Nicosia
Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part I. Lecture Notes in Computer Science 13163, Springer 2022, ISBN 978-3-030-95466-6 [contents] - [e1]Giuseppe Nicosia
Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part II. Lecture Notes in Computer Science 13164, Springer 2022, ISBN 978-3-030-95469-7 [contents] - [i2]Emanuele La Malfa, Gabriele La Malfa, Claudio Caprioli, Giuseppe Nicosia, Vito Latora:
Deep Neural Networks as Complex Networks. CoRR abs/2209.05488 (2022) - 2021
- [c2]Emanuele La Malfa, Gabriele La Malfa, Giuseppe Nicosia, Vito Latora:
Characterizing Learning Dynamics of Deep Neural Networks via Complex Networks. ICTAI 2021: 344-351 - [c1]Gabriele La Malfa, Emanuele La Malfa, Roman V. Belavkin, Panos M. Pardalos, Giuseppe Nicosia:
Distilling Financial Models by Symbolic Regression. LOD 2021: 502-517 - [i1]Emanuele La Malfa, Gabriele La Malfa, Giuseppe Nicosia, Vito Latora:
Characterizing Learning Dynamics of Deep Neural Networks via Complex Networks. CoRR abs/2110.02628 (2021)
Coauthor Index
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