Pubblicazioni

Borghi, Guido; Graffieti, Gabriele; Franco, Annalisa; Maltoni, Davide, Incremental Training of Face Morphing Detectors, in: Proceedings of the 26th International Conference on Pattern Recognition (ICPR), 2022, pp. 914 - 921 (atti di: 26th International Conference on Pattern Recognition (ICPR), Montreal (Canada), 21-25 August 2022) [Contributo in Atti di convegno]

Seroyizhko Pavlo, Zhexenova, Zhanel , Shafiq Muhammad Zohaib, Merizzi Fabio, Galassi Andrea, Ruggeri Federico, A Sentiment and Emotion Annotated Dataset for Bitcoin Price Forecasting Based on Reddit Posts, in: Proceedings of the Fourth Workshop on Financial Technology and Natural Language Processing (FinNLP), Association for Computational Linguistics, 2022, pp. 203 - 210 (atti di: Workshop on Financial Technology and Natural Language Processing (FinNLP), Abu Dhabi, United Arab Emirates (Hybrid), 8 Dicembre 2022) [Contributo in Atti di convegno] Open Access

Arzo, Sisay Tadesse; Scotece, Domenico; Bassoli, Riccardo; Granelli, Fabrizio; Foschini, Luca; Fitzek, Frank H.P., A New Agent-Based Intelligent Network Architecture, «IEEE COMMUNICATIONS STANDARDS MAGAZINE», 2022, 6, pp. 74 - 79 [Articolo in rivista] Open Access

Scotece, Domenico; Fiandrino, Claudio; Foschini, Luca, A Practical way to Handle Service Migration of ML-based Applications in Industrial Analytics, in: 2022 IEEE Global Communications Conference: Communication QoS, Reliability and Modeling, 2022, pp. 123 - 128 (atti di: 2022 IEEE Global Communications Conference, Rio de Janeiro, Brazil, 04-08 December 2022) [Contributo in Atti di convegno]

Sabbioni, Andrea; Bujari, Armir; Romeo, Stefano; Foschini, Luca; Corradi, Antonio, An Architectural Approach for Heterogeneous Data Access in Serverless Platforms, in: An Architectural Approach for Heterogeneous Data Access in Serverless Platforms, 2022, pp. 129 - 134 (atti di: IEEE Conference and Exhibition on Global Telecommunications (GLOBECOM), Rio de Janeiro-RJ Brazil, 4 - 8 December 2022) [Contributo in Atti di convegno]

Lorenzo Vorabbi - Davide Maltoni - Stefano Santi, Optimizing data-flow in binary Neural Networks, in: TinyML, 2022(atti di: TinyML EMEA 2022, Cyprus, 10/10/2022) [Poster]

Mattia Frapporti; Niccolò Cuppini; Maurilio Pirone, When cities meet platforms. Towards a trans-urban approach Elsevier Enhanced Reader, «DIGITAL GEOGRAPHY AND SOCIETY», 2022, 3, pp. 1 - 6 [Articolo in rivista] Open Access

Daniela Cuza, Andrea Loreggia, Alessandra Lumini, Loris Nanni,, Deep semantic segmentation in skin detection, in: Proceedings of European Symposium on Artificial Neural Networks (ESANN2022), 2022, pp. 315 - 320 (atti di: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, 5-7 ottobre 2022) [Contributo in Atti di convegno]

Rossini, Martina; Zichichi, Mirko; Ferretti, Stefano, Smart Contracts Vulnerability Classification through Deep Learning, in: SenSys '22: Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022, pp. 1229 - 1230 (atti di: 20th ACM Conference on Embedded Networked Sensor Systems, Boston, Massachusetts, USA, November 6 - 9, 2022) [Contributo in Atti di convegno] Open Access

Matteo Mendula; Paolo Bellavista, Energy-aware Edge Federated Learning for Enhanced Reliability and Sustainability, in: The Seventh ACM/IEEE Symposium on Edge Computing, 2022, pp. 1 - 6 (atti di: The Seventh ACM/IEEE Symposium on Edge Computing, Seattle, Washington, USA, 6th November - 9th November) [Contributo in Atti di convegno]

Montagna S, Pengo MF, Ferretti S, Borghi C, Ferri C, Grassi G, Muiesan ML, Parati G., Machine Learning in Hypertension Detection: A Study on World Hypertension Day Data., «JOURNAL OF MEDICAL SYSTEMS», 2022, 47, pp. 1 - 10 [Articolo in rivista] Open Access

Muhammad, K; Hussain, T; Ullah, H; Del Ser, J; Rezaei, M; Kumar, N; Hijji, M; Bellavista, P; de Albuquerque, VHC, Vision-Based Semantic Segmentation in Scene Understanding for Autonomous Driving: Recent Achievements, Challenges, and Outlooks, «IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS», 2022, 23, pp. 22694 - 22715 [Articolo in rivista] Open Access

Braccini, Michele; Roli, Andrea; Kauffman, Stuart, A Novel Online Adaptation Mechanism in Artificial Systems Provides Phenotypic Plasticity, in: Artificial Life and Evolutionary Computation 15th Italian Workshop, WIVACE 2021, «COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE», 2022, 1722, pp. 121 - 132 (atti di: 15th International Workshop on Artificial Life and Evolutionary Computation, WIVACE 2021, Winterthur (ZH), Switzerland, 15-17 September 2021) [Contributo in Atti di convegno]

Mora, Alessio; Fantini, Davide; Bellavista, Paolo, Federated Learning Algorithms with Heterogeneous Data Distributions: An Empirical Evaluation, in: Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, IEEE, 2022, pp. 336 - 341 (atti di: 7th IEEE/ACM Symposium on Edge Computing (SEC 2022), Seattle, WA, USA, December 5-8, 2022) [Contributo in Atti di convegno]

Aguzzi, Gianluca; Casadei, Roberto; Pianini, Danilo; Viroli, Mirko, Dynamic Decentralization Domains for the Internet of Things, «IEEE INTERNET COMPUTING», 2022, 26, pp. 16 - 23 [Articolo in rivista] Open Access

Casadei, Roberto; Pianini, Danilo; Aguzzi, Gianluca; Audrito, Giorgio; Torta, Gianluca; Ottina, Marco; Damiani, Ferruccio; Viroli, Mirko, Towards Automated Engineering for Collective Adaptive Systems: Vision and Research Directions, in: 2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), Los Alamos, CA, IEEE, 2022, pp. 1 - 6 (atti di: DASC/PiCom/CBDCom/CyberSciTech 2022, Falerna, Italy, September 13-15, 2022) [Contributo in Atti di convegno]

Aguzzi G.; Casadei R.; Viroli M., Machine Learning for Aggregate Computing: a Research Roadmap, in: 2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops (ICDCSW), New York, Institute of Electrical and Electronics Engineers Inc., 2022, pp. 119 - 124 (atti di: 42nd IEEE International Conference on Distributed Computing Systems Workshops, ICDCSW 2022, ita, 2022) [Contributo in Atti di convegno] Open Access

Elena Morotti; Elena Loli Piccolomini, Sparse Regularized CT Reconstruction: An Optimization Perspective, in: Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, Liverpol, Ke Chen, 2022, pp. 1 - 34 [Capitolo/Saggio in libro]

Luca Giuliani, Allegra De Filippo, Andrea Borghesi, Paola Mello, Michela Milano, A Multi-modal Perspective for the Artistic Evaluation of Robotic Dance Performances, in: CREAI 2022, Workshop on Artificial Intelligence and Creativity, 2022, pp. 84 - 93 (atti di: Workshop on Artificial Intelligence and Creativity co-located with 21th International Conference of the Italian Association for Artificial Intelligence, Udine, 28 novembre 2022 - 3 dicembre 2022) [Contributo in Atti di convegno]

Paolo Ciaccia, Davide Martinenghi, Riccardo Torlone, Conceptual Constraints for Data Quality in Data Lakes, in: ITADATA2022: The 1st Italian Conference on Big Data and Data Science, CEUR-WS, «CEUR WORKSHOP PROCEEDINGS», 2022, 3340, pp. 111 - 122 (atti di: 1st Italian Conference on Big Data and Data Science (ITADATA 2022), Milan, Italy, September 20-21, 2022) [Contributo in Atti di convegno] Open Access