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2020 – today
- 2024
[c12]Fabio Michele Russo, Carlo Metta
, Anna Monreale, Salvatore Rinzivillo, Fabio Pinelli:
Explainable AI in Time-Sensitive Scenarios: Prefetched Offline Explanation Model. DS 2024: 167-182- [c11]Antonio Di Cecco, Andrea Papini, Carlo Metta, Marco Fantozzi, Silvia Giulia Galfrè, Francesco Morandin, Maurizio Parton:
SwitchPath: Enhancing Exploration in Neural Networks Learning Dynamics. DS 2024: 275-291 - [c10]Flora Angileri, Giulia Lombardi, Andrea Fois, Renato Faraone, Carlo Metta, Michele Salvi, Luigi Amedeo Bianchi, Marco Fantozzi, Silvia Giulia Galfrè, Daniele Pavesi, Maurizio Parton, Francesco Morandin:
A Systematization of the Wagner Framework: Graph Theory Conjectures and Reinforcement Learning. DS 2024: 325-338 - [c9]Gizem Gezici, Carlo Metta, Andrea Beretta, Roberto Pellungrini, Salvatore Rinzivillo, Dino Pedreschi, Fosca Giannotti:
XAI in Healthcare. HHAI Workshops 2024: 69-73 - [c8]Antonio Di Cecco, Carlo Metta, Marco Fantozzi, Francesco Morandin, Maurizio Parton:
GloNets: Globally Connected Neural Networks. IDA (1) 2024: 53-64 - [c7]Maurizio Parton, Andrea Fois, Michelangelo Vegliò, Carlo Metta, Marco Gregnanin:
Predicting the Failure of Component X in the Scania Dataset with Graph Neural Networks. IDA (2) 2024: 251-259 - [c6]Carlo Metta, Marco Fantozzi, Andrea Papini, Gianluca Amato, Matteo Bergamaschi, Silvia Giulia Galfrè, Alessandro Marchetti, Michelangelo Vegliò, Maurizio Parton, Francesco Morandin:
Increasing biases can be more efficient than increasing weights. WACV 2024: 2798-2807 - [i11]Flora Angileri, Giulia Lombardi, Andrea Fois, Renato Faraone, Carlo Metta, Michele Salvi, Luigi Amedeo Bianchi, Marco Fantozzi, Silvia Giulia Galfrè, Daniele Pavesi, Maurizio Parton, Francesco Morandin:
A Systematization of the Wagner Framework: Graph Theory Conjectures and Reinforcement Learning. CoRR abs/2406.12667 (2024) - [i10]Mahmoud Rahat, Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk, Shamik Choudhury, Leo Petrin, Thorsteinn S. Rögnvaldsson, Andreas Voskou, Carlo Metta, Claudio Savelli:
Volvo Discovery Challenge at ECML-PKDD 2024. CoRR abs/2409.11446 (2024) - [i9]Carlo Metta, Marco Gregnanin, Andrea Papini, Silvia Giulia Galfrè, Andrea Fois, Francesco Morandin, Marco Fantozzi, Maurizio Parton:
Achieving Predictive Precision: Leveraging LSTM and Pseudo Labeling for Volvo's Discovery Challenge at ECML-PKDD 2024. CoRR abs/2409.13877 (2024) - 2023
- [i8]Carlo Metta, Marco Fantozzi, Andrea Papini, Gianluca Amato, Matteo Bergamaschi, Silvia Giulia Galfrè, Alessandro Marchetti, Michelangelo Vegliò, Maurizio Parton, Francesco Morandin:
Improving Performance in Neural Networks by Dendrites-Activated Connections. CoRR abs/2301.00924 (2023) - [i7]Carlo Metta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo:
Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling. CoRR abs/2302.03033 (2023) - [i6]Antonio Di Cecco, Carlo Metta, Marco Fantozzi, Francesco Morandin, Maurizio Parton:
GloNets: Globally Connected Neural Networks. CoRR abs/2311.15947 (2023) - 2022
- [c5]Carlo Metta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo:
Exemplars and Counterexemplars Explanations for Skin Lesion Classifiers. HHAI 2022: 258-260 - [c4]Luca Pasqualini, Maurizio Parton, Francesco Morandin, Gianluca Amato, Rosa Gini, Carlo Metta, Marco Fantozzi, Alessandro Marchetti:
Score vs. Winrate in Score-Based Games: which Reward for Reinforcement Learning? ICMLA 2022: 573-578 - [i5]Luca Pasqualini, Maurizio Parton, Francesco Morandin, Gianluca Amato, Rosa Gini, Carlo Metta:
Leela Zero Score: a Study of a Score-based AlphaGo Zero. CoRR abs/2201.13176 (2022) - [i4]Maurizio Parton, Marco Angelone, Carlo Metta, Stefania D'Ovidio, Roberta Massarelli, Luca Moscardelli, Gianluca Amato:
Artificial intelligence and renegotiation of commercial lease contracts affected by pandemic-related contingencies from Covid-19. The project A.I.A.Co. CoRR abs/2210.09515 (2022) - 2021
- [c3]Carlo Metta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo:
Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling. ISCC 2021: 1-7 - [i3]Carlo Metta, Andrea Beretta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo, Fosca Giannotti:
Explainable Deep Image Classifiers for Skin Lesion Diagnosis. CoRR abs/2111.11863 (2021) - 2020
- [c2]Francesco Morandin, Gianluca Amato, Marco Fantozzi, Rosa Gini, Carlo Metta, Maurizio Parton:
SAI: A Sensible Artificial Intelligence That Plays with Handicap and Targets High Scores in 9×9 Go. ECAI 2020: 403-410
2010 – 2019
- 2019
- [c1]Francesco Morandin, Gianluca Amato, Rosa Gini, Carlo Metta, Maurizio Parton, Gian-Carlo Pascutto:
SAI a Sensible Artificial Intelligence that plays Go. IJCNN 2019: 1-8 - [i2]Francesco Morandin, Gianluca Amato, Marco Fantozzi, Rosa Gini, Carlo Metta, Maurizio Parton:
SAI: a Sensible Artificial Intelligence that plays with handicap and targets high scores in 9x9 Go (extended version). CoRR abs/1905.10863 (2019) - 2018
- [i1]Francesco Morandin, Gianluca Amato, Rosa Gini, Carlo Metta, Maurizio Parton, Gian-Carlo Pascutto:
SAI, a Sensible Artificial Intelligence that plays Go. CoRR abs/1809.03928 (2018)
Coauthor Index
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