Pubblicazioni

Casadei, R.; Fornari, F.; Mariani, S.; Savaglio, C., Programming Approaches for Large-Scale IoT System Development: State of the Art, in: Fluidware: Novel Approaches for Large-Scale IoT Systems, Cham, Springer Nature, 2024, pp. 21 - 45 (INTERNET OF THINGS) [Capitolo/Saggio in libro]

Casadei, R.; Fornari, F.; Mariani, S.; Savaglio, C., Fluidware Meets Digital Twins, in: Fluidware: Novel Approaches for Large-Scale IoT Systems, Cham, Springer Nature, 2024, pp. 137 - 154 (INTERNET OF THINGS) [Capitolo/Saggio in libro]

Aguzzi, G.; Casadei, R.; Mariani, S.; Viroli, M.; Zambonelli, F., Learning Opportunities in Collective Adaptive Systems, in: Fluidware: Novel Approaches for Large-Scale IoT Systems, Cham, Springer Nature, 2024, pp. 179 - 199 (INTERNET OF THINGS) [Capitolo/Saggio in libro]

Pianini, D.; Casadei, R.; Mariani, S.; Aguzzi, G.; Viroli, M.; Zambonelli, F., Space-Fluid and Time-Fluid Programming, in: Fluidware: Novel Approaches for Large-Scale IoT Systems, Cham, Springer Nature, 2024, pp. 107 - 134 (INTERNET OF THINGS) [Capitolo/Saggio in libro]

Casadei R.; Esterle L.; Gamble R.; Harvey P.; Wanner E.F., Editorial: Understanding and engineering cyber-physical collectives, «FRONTIERS IN ROBOTICS AND AI», 2024, 11, pp. 1 - 5 [Articolo in rivista]

Ling Z.; Delnevo G.; Salomoni P.; Mirri S., Findings on Machine Learning for Identification of Archaeological Ceramics: A Systematic Literature Review, «IEEE ACCESS», 2024, 12, pp. 100167 - 100185 [Articolo in rivista] Open Access

Shen L.; Chen Z.; Zhang B.; Tang S.K.; Mirri S., Multiple People Tracking Based on Improved SiameseFC Combined with Lightweight YOLO-V4, in: Proceedings of the International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, «LECTURE NOTES OF THE INSTITUTE FOR COMPUTER SCIENCES, SOCIAL INFORMATICS AND TELECOMMUNICATIONS ENGINEERING», 2024, 574 LNICST, pp. 291 - 305 (atti di: International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, Shenzhen, China, 7-8 otttobre 2023) [Contributo in Atti di convegno]

Delnevo, Giovanni; Ghini, Vittorio; Fiumana, Enrico; Mirri, Silvia, A Support Tool for Emergency Management in Smart Campuses: Reference Architecture and Enhanced Web User Interfaces, «SENSORS», 2024, 24, pp. 1 - 17 [Articolo in rivista] Open Access

Ilaria Bartolini, Angelo Chianese, Vincenzo Moscato, Marco Postiglione, Giancarlo Sperlí, Andrea Vignali, Named Entity Recognition using context similarity data augmentation, in: M. Atzori, P. Ciaccia, M. Ceci, F. Mandreoli, D. Malerba, M. Sanguinetti, A. Pellicani, F. Motta, Proceedings of the 32nd Symposium on Advanced Database Systems, CEUR-WS, «CEUR WORKSHOP PROCEEDINGS», 2024, 3741, pp. 331 - 338 (atti di: 32nd Symposium of Advanced Database Systems, SEBD 2024, Villasimius, Italy, June 23rd to 26th, 2024) [Contributo in Atti di convegno] Open Access

Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano, Ensuring Fairness Stability for Disentangling Social Inequality in Access to Education: the FAiRDAS General Method, in: Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence AI for Good, IJCAI, 2024, pp. 7412 - 7420 (atti di: International Joint Conference on Artificial Intelligence (IJCAI), Jeju, South Korea, 8-14 Agosto 2024) [Contributo in Atti di convegno] Open Access

Mazzocchetti S.; Spezialetti R.; Bevini M.; Badiali G.; Lisanti G.; Salti S.; Di Stefano L., Neural shape completion for personalized Maxillofacial surgery, «SCIENTIFIC REPORTS», 2024, 14, pp. 1 - 11 [Articolo in rivista] Open Access

Mazzocchetti S.; Bevini M.; Badiali G.; Lisanti G.; Di Stefano L.; Salti S., Automatic Implant Generation for Cranioplasty via Occupancy Networks, «IEEE ACCESS», 2024, 12, pp. 95185 - 95195 [Articolo in rivista] Open Access

Forresi, Chiara; Gallinucci, Enrico; Golfarelli, Matteo; Maistrello, Lara; Preti, Michele; Vaccari, Giacomo, A data platform for real-time monitoring and analysis of the brown marmorated stink bug in Northern Italy, «ECOLOGICAL INFORMATICS», 2024, 82, pp. 1 - 20 [Articolo in rivista] Open Access

Bellavista, Paolo; Bujari, Armir; Foschini, Luca; Sabbioni, Andrea; Venanzi, Riccardo, A MECApp-aware Lifecycle Management Approach in 5G Edge-Cloud Deployments, in: 2024 33rd International Conference on Computer Communications and Networks (ICCCN), «PROCEEDINGS - INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATIONS AND NETWORKS», 2024, pp. 1 - 6 (atti di: 33rd International Conference on Computer Communications and Networks (ICCCN), Kailua-Kona, HI, US, 29-31 July 2024) [Contributo in Atti di convegno] Open Access

Merizzi F.; Asperti A.; Colamonaco S., Wind speed super-resolution and validation: from ERA5 to CERRA via diffusion models, «NEURAL COMPUTING & APPLICATIONS», 2024, n.a., pp. 1 - 23 [Articolo in rivista]

Mancini, Eleonora; Ruggeri, Federico; Colamonaco, Stefano; Zecca, Andrea; Marro, Samuele; Torroni, Paolo, MAMKit: A Comprehensive Multimodal Argument Mining Toolkit, in: Proceedings of the 11th Workshop on Argument Mining (ArgMining 2024), Association for Computational Linguistics, 2024, pp. 69 - 82 (atti di: 11th Workshop on Argument Mining (ArgMining 2024), Bangkok, Thailand, August 2024) [Contributo in Atti di convegno] Open Access

Davide Calvaresi, Amro Najaar, Andrea Omicini, Reyhan Aydogan, Rachele Carli, Giovanni Ciatto, Joris Hulstijn, Kary Främling, Explainable, Transparent Autonomous Agents and Multi-Agent Systems, Cham, Springer, 2024, pp. 243 (LECTURE NOTES IN COMPUTER SCIENCE). [Curatela]

Silvestri, Mattia; De Filippo, Allegra; Lombardi, Michele; Milano, Michela, UNIFY: A unified policy designing framework for solving integrated Constrained Optimization and Machine Learning problems, «KNOWLEDGE-BASED SYSTEMS», 2024, 303, pp. 1 - 16 [Articolo in rivista]

Calvaresi, Davide; Najaar, Amro; Omicini, Andrea; Främling, Kary, Preface, in: Explainable, Transparent Autonomous Agents and Multi-Agent Systems. 6th International Workshop, EXTRAAMAS 2024, Auckland, New Zealand, May 6–10, 2024, Revised Selected Papers, Cham, Springer, 2024, pp. 6 - 6 (LECTURE NOTES IN COMPUTER SCIENCE) [Prefazione]

De Filippo A.; Di Giacomo E.; Borghesi A., Machine learning approaches to predict the execution time of the meteorological simulation software COSMO, «JOURNAL OF INTELLIGENT INFORMATION SYSTEMS», 2024, x, pp. 1 - 25 [Articolo in rivista]