Zobrazeno 1 - 10
of 429
pro vyhledávání: '"PEDRESCHI, DINO"'
Autor:
Gambetta, Daniele, Gezici, Gizem, Giannotti, Fosca, Pedreschi, Dino, Knott, Alistair, Pappalardo, Luca
Recent research has focused on the medium and long-term impacts of generative AI, posing scientific and societal challenges mainly due to the detection and reliability of machine-generated information, which is projected to form the major content on
Externí odkaz:
http://arxiv.org/abs/2410.12341
The proliferation of human-AI ecosystems involving human interaction with algorithms, such as assistants and recommenders, raises concerns about large-scale social behaviour. Despite evidence of such phenomena across several contexts, the collective
Externí odkaz:
http://arxiv.org/abs/2407.20004
Autor:
Pappalardo, Luca, Ferragina, Emanuele, Citraro, Salvatore, Cornacchia, Giuliano, Nanni, Mirco, Rossetti, Giulio, Gezici, Gizem, Giannotti, Fosca, Lalli, Margherita, Gambetta, Daniele, Mauro, Giovanni, Morini, Virginia, Pansanella, Valentina, Pedreschi, Dino
Recommendation systems and assistants (in short, recommenders) are ubiquitous in online platforms and influence most actions of our day-to-day lives, suggesting items or providing solutions based on users' preferences or requests. This survey analyse
Externí odkaz:
http://arxiv.org/abs/2407.01630
Everyday we increasingly rely on machine learning models to automate and support high-stake tasks and decisions. This growing presence means that humans are now constantly interacting with machine learning-based systems, training and using models eve
Externí odkaz:
http://arxiv.org/abs/2402.06287
Autor:
Pedreschi, Dino, Pappalardo, Luca, Ferragina, Emanuele, Baeza-Yates, Ricardo, Barabasi, Albert-Laszlo, Dignum, Frank, Dignum, Virginia, Eliassi-Rad, Tina, Giannotti, Fosca, Kertesz, Janos, Knott, Alistair, Ioannidis, Yannis, Lukowicz, Paul, Passarella, Andrea, Pentland, Alex Sandy, Shawe-Taylor, John, Vespignani, Alessandro
Human-AI coevolution, defined as a process in which humans and AI algorithms continuously influence each other, increasingly characterises our society, but is understudied in artificial intelligence and complexity science literature. Recommender syst
Externí odkaz:
http://arxiv.org/abs/2306.13723
Autor:
Agliari, Elena, Albanese, Linda, Alemanno, Francesco, Alessandrelli, Andrea, Barra, Adriano, Giannotti, Fosca, Lotito, Daniele, Pedreschi, Dino
We consider dense, associative neural-networks trained by a teacher (i.e., with supervision) and we investigate their computational capabilities analytically, via statistical-mechanics of spin glasses, and numerically, via Monte Carlo simulations. In
Externí odkaz:
http://arxiv.org/abs/2212.00606
Autor:
Agliari, Elena, Albanese, Linda, Alemanno, Francesco, Alessandrelli, Andrea, Barra, Adriano, Giannotti, Fosca, Lotito, Daniele, Pedreschi, Dino
We consider dense, associative neural-networks trained with no supervision and we investigate their computational capabilities analytically, via a statistical-mechanics approach, and numerically, via Monte Carlo simulations. In particular, we obtain
Externí odkaz:
http://arxiv.org/abs/2211.14067
Autor:
Cornacchia, Giuliano, Böhm, Matteo, Mauro, Giovanni, Nanni, Mirco, Pedreschi, Dino, Pappalardo, Luca
Publikováno v:
SIGSPATIAL 2022: Proceedings of the 30th International Conference on Advances in Geographic Information Systems
Navigation apps use routing algorithms to suggest the best path to reach a user's desired destination. Although undoubtedly useful, navigation apps' impact on the urban environment (e.g., carbon dioxide emissions and population exposure to pollution)
Externí odkaz:
http://arxiv.org/abs/2207.01456
Superdiversity refers to large cultural diversity in a population due to immigration. In this paper, we introduce a superdiversity index based on the changes in the emotional content of words used by a multi-cultural community, compared to the standa
Externí odkaz:
http://arxiv.org/abs/2204.10646
Autor:
Pedreschi, Dino, Pappalardo, Luca, Ferragina, Emanuele, Baeza-Yates, Ricardo, Barabási, Albert-László, Dignum, Frank, Dignum, Virginia, Eliassi-Rad, Tina, Giannotti, Fosca, Kertész, János, Knott, Alistair, Ioannidis, Yannis, Lukowicz, Paul, Passarella, Andrea, Pentland, Alex Sandy, Shawe-Taylor, John, Vespignani, Alessandro
Publikováno v:
In Artificial Intelligence February 2025 339
