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ORCIDMaurizio Parton
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2020 – today
- 2024
[j4]Marco Gregnanin, Yanyi Zhang, Johannes De Smedt, Giorgio Gnecco, Maurizio Parton:
Signature-based portfolio allocation: a network approach. Appl. Netw. Sci. 9(1): 54 (2024)- [c11]Antonio Di Cecco
, Carlo Metta, Marco Fantozzi, Francesco Morandin, Maurizio Parton:
GloNets: Globally Connected Neural Networks. IDA (1) 2024: 53-64 - [c10]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 - [c9]Gianluca Amato, Alessia Amelio, Luciano Caroprese, Piero Chiacchiaretta, Fabio Fioravanti, Luigi Ippoliti, Maria Chiara Meo, Gianpiero Monaco, Christian Morbidoni, Luca Moscardelli, Maurizio Parton, Francesca Scozzari:
AI for Sustainability: Research at Ud'A Node. Ital-IA 2024: 516-521 - [c8]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 - [i13]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) - [i12]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
- [c7]Marco Gregnanin, Johannes De Smedt, Giorgio Gnecco, Maurizio Parton:
Signature-Based Community Detection for Time Series. COMPLEX NETWORKS (2) 2023: 146-158 - [i11]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) - [i10]Marco Gregnanin, Johannes De Smedt, Giorgio Gnecco, Maurizio Parton:
Signature-Based Community Detection for Time Series. CoRR abs/2311.05986 (2023) - [i9]Antonio Di Cecco, Carlo Metta, Marco Fantozzi, Francesco Morandin, Maurizio Parton:
GloNets: Globally Connected Neural Networks. CoRR abs/2311.15947 (2023) - 2022
- [c6]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 - [i8]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) - [i7]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
- [i6]Marco Miani, Maurizio Parton, Marco Romito:
Curious Explorer: a provable exploration strategy in Policy Learning. CoRR abs/2106.15503 (2021) - 2020
- [j3]Luca Pasqualini, Maurizio Parton:
Pseudo Random Number Generation through Reinforcement Learning and Recurrent Neural Networks. Algorithms 13(11): 307 (2020) - [c5]Luca Pasqualini, Maurizio Parton:
Pseudo Random Number Generation: a Reinforcement Learning approach. ANT/EDI40 2020: 1122-1127 - [c4]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 - [i5]Gianluca Amato, Marco Maggesi, Maurizio Parton, Cosimo Perini Brogi:
Universal Algebra in UniMath. CoRR abs/2007.04840 (2020) - [i4]Luca Pasqualini, Maurizio Parton:
Pseudo Random Number Generation through Reinforcement Learning and Recurrent Neural Networks. CoRR abs/2011.02909 (2020)
2010 – 2019
- 2019
- [c3]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 - [i3]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) - [i2]Luca Pasqualini, Maurizio Parton:
Pseudo Random Number Generation: a Reinforcement Learning approach. CoRR abs/1912.11531 (2019) - 2018
- [j2]Maurizio Parton, Paolo Piccinni:
The Role of Spin(9) in Octonionic Geometry. Axioms 7(4): 72 (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) - 2012
- [j1]Gianluca Amato, Maurizio Parton, Francesca Scozzari:
Discovering invariants via simple component analysis. J. Symb. Comput. 47(12): 1533-1560 (2012) - 2010
- [c2]Gianluca Amato, Maurizio Parton, Francesca Scozzari:
A Tool Which Mines Partial Execution Traces to Improve Static Analysis. RV 2010: 475-479 - [c1]Gianluca Amato, Maurizio Parton, Francesca Scozzari:
Deriving Numerical Abstract Domains via Principal Component Analysis. SAS 2010: 134-150
Coauthor Index
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last updated on 2024-10-16 20:33 CEST by the dblp team
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