Pubblicazioni

Lanese I.; Phillips I., Forward-Reverse Observational Equivalences in CCSK, in: Reversible Computation, Springer Science and Business Media Deutschland GmbH, «LECTURE NOTES IN COMPUTER SCIENCE», 2021, 12805, pp. 126 - 143 (atti di: 13th International Conference on Reversible Computation, RC 2021, Nagoya, Japan (online due to covid), July 7 - July 8, 2021) [Contributo in Atti di convegno] Open Access

Cascarano P.; Comes M.C.; Mencattini A.; Parrini M.C.; Piccolomini E.L.; Martinelli E., Recursive Deep Prior Video: A super resolution algorithm for time-lapse microscopy of organ-on-chip experiments, «MEDICAL IMAGE ANALYSIS», 2021, 72, pp. 1 - 15 [Articolo in rivista] Open Access

Cascarano P.; Calatroni L.; Loli Piccolomini E., Efficient ℓ Gradient-Based Super-Resolution for Simplified Image Segmentation, «IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING», 2021, 7, pp. 399 - 408 [Articolo in rivista] Open Access

Ceccarini C., HCI methodologies and data visualization to foster user awareness, in: CEUR Workshop Proceedings, CEUR-WS, «CEUR WORKSHOP PROCEEDINGS», 2021, 2892, pp. 28 - 35 (atti di: 2021 Joint Interactive Experiences and Doctoral Consortium at CHItaly, CHItaly-JP 2021, ita, 2021) [Contributo in Atti di convegno]

Costantini, Alessandro; Duma, Doina Cristina; Martelli, Barbara; Antonacci, Marica; Galletti, Matteo; Tisbeni, Simone Rossi; Bellavista, Paolo; Di Modica, Giuseppe; Nehls, Daniel; Ahouangonou, Jean-Christian; Delamarre, Cedric; Cesini, Daniele, A Cloud-Edge Orchestration Platform for the Innovative Industrial Scenarios of the IoTwins Project, in: Computational Science and Its Applications – ICCSA 2021. ICCSA 2021, Cham, SPRINGER INTERNATIONAL PUBLISHING AG, «LECTURE NOTES IN COMPUTER SCIENCE», 2021, 12950, pp. 533 - 543 (atti di: ICCSA: International Conference on Computational Science and Its Applications, Cagliari, Italy, September 13–16, 2021) [Contributo in Atti di convegno] Open Access

Boschi M.; Di Stefano L.; Alessandrini M., SAFFIRE: System for Autonomous Feature Filtering and Intelligent ROI Estimation, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Science and Business Media Deutschland GmbH, «LECTURE NOTES IN ARTIFICIAL INTELLIGENCE», 2021, 12664, pp. 552 - 565 (atti di: 25th International Conference on Pattern Recognition Workshops, ICPR 2020, Milano (Online), 2021) [Contributo in Atti di convegno]

Cesco A.; Gorrieri R., Decidability of Two Truly Concurrent Equivalences for Finite Bounded Petri Nets, in: ICTCS 2021 - 22nd Italian Conference on Theoretical Computer Science 2021, CEUR-WS, «CEUR WORKSHOP PROCEEDINGS», 2021, 3072, pp. 135 - 149 (atti di: 22nd Italian Conference on Theoretical Computer Science, ICTCS 2021, Bologna, Italy, September 13-15, 2021) [Contributo in Atti di convegno] Open Access

Pianini, Danilo; Neri, Alessandro, Breaking down monoliths with Microservices and DevOps: an industrial experience report, in: 2021 IEEE International Conference on Software Maintenance and Evolution (ICSME), IEEE CS, 2021, pp. 505 - 514 (atti di: IEEE International Conference on Software Maintenance and Evolution, Luxembourg, September 27 - October 1, 2021) [Contributo in Atti di convegno] Open Access

Vana Kalogeraki; Danilo Pianini, Message from the Program Chairs, in: 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C), Washington, D.C., IEEE, 2021, pp. xv - xvi [Prefazione] Open Access

Danilo Pianini; Vana Kalogeraki, Message from the Program Chairs, in: 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), Washington, DC, IEEE, 2021, pp. xi - xii [Prefazione] Open Access

Nanni L.; Minchio G.; Brahnam S.; Maguolo G.; Lumini A., Experiments of image classification using dissimilarity spaces built with siamese networks, «SENSORS», 2021, 21, pp. 1 - 18 [Articolo in rivista] Open Access

Esam El-Araby, Vana Kalogeraki, Danilo Pianini, Frédéric Lassabe, Barry Porter, Sona Ghahremani, Ingrid Nunes, Mohamed Bakhouya, Sven Tomforde, 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2021, Washington, D.C., IEEE, 2021, pp. 364 . [Curatela]

Lopez-Lopez E.; Regueiro C.V.; Pardo X.M.; Franco A.; Lumini A., Towards a self-sufficient face verification system, «EXPERT SYSTEMS WITH APPLICATIONS», 2021, 174, pp. 1 - 15 [Articolo in rivista] Open Access

Esam El-Araby, Vana Kalogeraki, Danilo Pianini, Frédéric Lassabe, Barry Porter, Sona Ghahremani, Ingrid Nunes, Mohamed Bakhouya, Sven Tomforde, 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), Washington, D.C., IEEE, 2021, pp. 226 . [Curatela]

Baldissera D.; Nanni L.; Brahnam S.; Lumini A., Postprocessing for skin detection, «JOURNAL OF IMAGING», 2021, 7, pp. 1 - 14 [Articolo in rivista] Open Access

Pianini, Danilo, Simulation of Large Scale Computational Ecosystems with Alchemist: A Tutorial, in: Distributed Applications and Interoperable Systems. DAIS 2021., Cham, Springer, «LECTURE NOTES IN ARTIFICIAL INTELLIGENCE», 2021, 12718, pp. 145 - 161 (atti di: Distributed Applications and Interoperable Systems - 21st IFIP WG 6.1 International Conference, DAIS 2021, Valletta, Malta, June 14-18) [Contributo in Atti di convegno] Open Access

Nanni L.; Minchio G.; Brahnam S.; Sarraggiotto D.; Lumini A., Closing the performance gap between siamese networks for dissimilarity image classification and convolutional neural networks, «SENSORS», 2021, 21, pp. 1 - 15 [Articolo in rivista] Open Access

Nanni L.; Paci M.; Brahnam S.; Lumini A., Comparison of different image data augmentation approaches, «JOURNAL OF IMAGING», 2021, 7, pp. 1 - 13 [Articolo in rivista] Open Access

Lumini, Alessandra; Nanni, Loris; Maguolo, Gianluca, Deep Ensembles Based on Stochastic Activations for Semantic Segmentation, «SIGNALS», 2021, 2, pp. 820 - 833 [Articolo in rivista] Open Access

Lumini, Alessandra; Nanni, Loris; Scattolaro, Luca; Maguolo, Gianluca, Image orientation detection by ensembles of Stochastic CNNs, «MACHINE LEARNING WITH APPLICATIONS», 2021, 6, pp. 1 - 9 [Articolo in rivista] Open Access