Gabriele La Malfa

17 papers A* 2B 1Journal 6Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Fairness Aware Reinforcement Learning via Proximal Policy Optimization. AAAI Gabriele La Malfa, Jie M. Zhang, Michael Luck, Elizabeth Black
2025	J	`jnl`	Fairness Aware Reinforcement Learning via Proximal Policy Optimization. CoRR Gabriele La Malfa, Jie M. Zhang, Michael Luck, Elizabeth Black
2025	J	`jnl`	Large Language Models Miss the Multi-Agent Mark. CoRR Emanuele La Malfa, Gabriele La Malfa, Samuele Marro, Jie M. Zhang, Elizabeth Black, Michael Luck, Philip Torr, Michael J. Wooldridge
2024	A*	`conf`	Deep Neural Networks via Complex Network Theory: A Perspective. IJCAI Emanuele La Malfa, Gabriele La Malfa, Giuseppe Nicosia, Vito Latora
2024	J	`jnl`	Deep Neural Networks via Complex Network Theory: a Perspective. CoRR Emanuele La Malfa, Gabriele La Malfa, Giuseppe Nicosia, Vito Latora
2024	—	`ed.`	Machine Learning, Optimization, and Data Science - 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers, Part I LOD (1) Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Renato Umeton
2024	—	`ed.`	Machine Learning, Optimization, and Data Science - 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers, Part II LOD (2) Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Renato Umeton
2024	—	`conf`	Using Protected Attributes to Consider Fairness in Multi-Agent Systems. AEQUITAS@ECAI Gabriele La Malfa, Jie M. Zhang, Michael Luck, Elizabeth Black
2024	J	`jnl`	Using Protected Attributes to Consider Fairness in Multi-Agent Systems. CoRR Gabriele La Malfa, Jie M. Zhang, Michael Luck, Elizabeth Black
2023	—	`ed.`	Machine Learning, Optimization, and Data Science - 8th International Workshop, LOD 2022, Certosa di Pontignano, Italy, September 19-22, 2022, Revised Selected Papers, Part I LOD (1) Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Giuseppe Di Fatta, Giovanni Giuffrida, Renato Umeton
2023	—	`ed.`	Machine Learning, Optimization, and Data Science - 8th International Workshop, LOD 2022, Certosa di Pontignano, Italy, September 19-22, 2022, Revised Selected Papers, Part II LOD (2) Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos M. Pardalos, Giuseppe Di Fatta, Giovanni Giuffrida, Renato Umeton
2022	J	`jnl`	Deep Neural Networks as Complex Networks. CoRR Emanuele La Malfa, Gabriele La Malfa, Claudio Caprioli, Giuseppe Nicosia, Vito Latora
2022	—	`ed.`	Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part I LOD Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Giorgio Jansen, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton
2022	—	`ed.`	Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part II LOD Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Giorgio Jansen, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton
2021	B	`conf`	Characterizing Learning Dynamics of Deep Neural Networks via Complex Networks. ICTAI Emanuele La Malfa, Gabriele La Malfa, Giuseppe Nicosia, Vito Latora
2021	J	`jnl`	Characterizing Learning Dynamics of Deep Neural Networks via Complex Networks. CoRR Emanuele La Malfa, Gabriele La Malfa, Giuseppe Nicosia, Vito Latora
2021	—	`conf`	Distilling Financial Models by Symbolic Regression. LOD Gabriele La Malfa, Emanuele La Malfa, Roman V. Belavkin, Panos M. Pardalos, Giuseppe Nicosia