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Michael Bosello

Dottorando

Dipartimento di Informatica - Scienza e Ingegneria

Settore scientifico disciplinare: INF/01 INFORMATICA

Pubblicazioni

Bosello, Michael; Aguiari, Davide; Keuter, Yvo; Pallotta, Enrico; Kiade, Sara; Caminati, Gyordan; Pinzarrone, Flavio; Halepota, Junaid; Panerati, Jacopo; Pau, Giovanni, Race Against the Machine: A Fully-Annotated, Open-Design Dataset of Autonomous and Piloted High-Speed Flight, «IEEE ROBOTICS AND AUTOMATION LETTERS», 2024, 9, pp. 3799 - 3806 [articolo]

Bosello M.; Falcomer C.; Rossi C.; Pau G., To Charge or to Sell? EV Pack Useful Life Estimation via LSTMs, CNNs, and Autoencoders, «ENERGIES», 2023, 16, Article number: 2837, pp. 1 - 17 [articolo]Open Access

Chen, Yuhan; Tse, Rita; Bosello, Michael; Aguiari, Davide; Tang, Su-Kit; Pau, Giovanni, Enabling deep reinforcement learning autonomous driving by 3D-LiDAR point clouds, in: Proc. SPIE 12342, Fourteenth International Conference on Digital Image Processing (ICDIP 2022), 2022, 12342, pp. 1 - 10 (atti di: Fourteenth International Conference on Digital Image Processing (ICDIP 2022), Wuhan, China, 12/10/22) [Contributo in Atti di convegno]

Bosello, Michael; Tse, Rita; Pau, Giovanni, Train in Austria, Race in Montecarlo: Generalized RL for Cross-Track F1tenth LIDAR-Based Races, in: 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), 2022, pp. 290 - 298 (atti di: 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, 8-11 Jan. 2022) [Contributo in Atti di convegno]

Wong K.L.; Bosello M.; Tse R.; Falcomer C.; Rossi C.; Pau G., Li-Ion batteries state-of-charge estimation using deep LSTM at various battery specifications and discharge cycles, in: GoodIT 2021 - Proceedings of the 2021 Conference on Information Technology for Social Good, Association for Computing Machinery, Inc, 2021, pp. 85 - 90 (atti di: 1st Conference on Information Technology for Social Good, GoodIT 2021, Roma, Italy, September 9 - 11, 2021) [Contributo in Atti di convegno]Open Access

Michael Bosello, UNIBO Powertools Dataset, 2021. [banche dati]

Bosello M.; Ricci A., From programming agents to Educating agents – A jason-based framework for integrating learning in the development of cognitive agents, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, «LECTURE NOTES IN ARTIFICIAL INTELLIGENCE», 2020, 12058, pp. 175 - 194 (atti di: 7th International Workshop on Engineering Multi-Agent Systems, EMAS 2019, can, 2019) [Contributo in Atti di convegno]

Bosello M.; Delnevo G.; Mirri S., On exploiting Gamification for the Crowdsensing of Air Pollution: A Case Study on a Bicycle-based System, in: ACM International Conference Proceeding Series, ;2 Penn Plaza, Suite 701, Association for Computing Machinery, 2020, pp. 205 - 210 (atti di: 6th EAI International Conference on Smart Objects and Technologies for Social Good, GOODTECHS 2020, mex, 2020) [Contributo in Atti di convegno]

Ciatto, Giovanni; Bosello, Michael; Mariani, Stefano; Omicini, Andrea, Comparative Analysis of Blockchain Technologies Under a Coordination Perspective, in: Highlights of Practical Applications of Survivable Agents and Multi-Agent Systems. The PAAMS Collection, Springer, «COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE», 2019, 1047, pp. 80 - 91 (atti di: 2nd International Workshop on Blockchain Technology for Multi-Agent Systems, BTC4MAS 2019 @ PAAMS 2019, Àvila, Spain, 26/6/2019) [Contributo in Atti di convegno]

Bosello M.; Tse R.; Pau G., Robot drivers: Learning to drive by trial & error, in: Proceedings - 2019 15th International Conference on Mobile Ad-Hoc and Sensor Networks, MSN 2019, 345 E 47TH ST, NEW YORK, NY 10017 USA, Institute of Electrical and Electronics Engineers Inc., 2019, pp. 284 - 290 (atti di: 15th International Conference on Mobile Ad-Hoc and Sensor Networks, MSN 2019, Shenzhen Base of the Hong Kong Polytechnic University (PolyU), chn, 2019) [Contributo in Atti di convegno]

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