Sfoglia per Correlatore AZZALINI, DAVIDE
Deep autoencoders for anomaly detection in electricity consumption of buildings
2021/2022 GUADAGNO, ANTONIO
Deep neural networks for anomaly classification on electrical devices
2022/2023 CHINGA, ROBERT STEFANO
Distributed fault detection in swarm robotic systems using a machine learning approach
2021/2022 CARMINATI, ALESSANDRO
Domain Adaptation for Remaining Useful Life Estimation of Lithium-Ion Batteries
2022/2023 MELI, GIUSEPPE
Dynamics of stock market correlations : a textual and numerical analysis
2016/2017 DE VOS, UGO PIETRO
An empirical evaluation of AI-based methods for modeling the genesis of tropical cyclones
2021/2022 De Luca, Federica Maria
Ethically identifying and removing unfairness when hiring new employees : a proposal
2018/2019 ABBUD, PATRISIYA
An evaluation of data-driven interpretable methods to detect tropical cyclones
2023/2024 Ferrero, Marco Adriano
Explaining query answers using query reverse engineering
2018/2019 PERINI, ALESSANDRO
Implementazione dell'algoritmo TALOS per il reverse engineering di Query SPJ
2017/2018 DOLCI, MARIO
Incremental learning of variational autoencoders for anomaly detection in autonomous robots
2019/2020 BONALI, LUCA
Learning Markov models to predict the behavior of a team of agents
2022/2023 Bonalumi, Luca
Learning representations for clustering users of web applications
2021/2022 Straccia, Agnese
A method for estimating the Remaining Useful Life of lithium-ion batteries when nearing end of life
2022/2023 MARTIRI, LUCA
A methodology for horizontal auto-scaling of DBaaS solutions
2020/2021 Freddi, Eleonora
Metodi e tecniche per garantire la fairness e la diversity nell'estrazione di dati : un confronto
2017/2018 TATTI, ALESSANDRO
Multi-agent path planning by anticipating the behavior of other agents using prediction trees
2022/2023 Pigozzi, Riccardo
A neural network model for modeling external agents in multi-agents pickup and delivery
2023/2024 VAGHI, FRANCESCO
News vs. tweets in stock market forecasting. Which one is better ?
2018/2019 dell'ORO, STEFANO
Study on the applicability of machine learning-based techniques to the interpretation of fluorescent amplification curves acquired from real-time PCR (qPCR) assays
2019/2020 BISICA, LEONARDO
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