Pubblicazioni

  • Andrea, Asperti; Carlo De Pieri, ; Mattia, Maldini; Gianmaria, Pedrini; Francesco, Sovrano, A Modular Deep-learning Environment for Rogue, «WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS», 2017, 12, pp. 362 - 373 [Articolo in rivista]

  • Poggi, Matteo; Tosi, Fabio; Mattoccia, Stefano, Quantitative Evaluation of Confidence Measures in a Machine Learning World, in: 2017 IEEE International Conference on Computer Vision (ICCV), New York, IEEE, 2017, pp. 5238 - 5247 (atti di: 16th edition of the IEEE International Conference on Computer Vision, Venice, Italy, October 22-29, 2017) [Contributo in Atti di convegno] Open Access

  • Tonioni, Alessio; Poggi, Matteo; Mattoccia, Stefano; Luigi Di, Stefano, Unsupervised Adaptation for Deep Stereo, in: Proceedings 16th edition of the IEEE International Conference on Computer Vision, IEEE, 2017, pp. 1614 - 1622 (atti di: IEEE International Conference on Computer Vision, Venice, Italy, October 22-29, 2017) [Contributo in Atti di convegno]

  • Tosi, F.; Poggi, M.; Mattoccia, S.; Tonioni, A.; Di Stefano, L.;, Learning confidence measures in the wild, in: Proceedings of 28th British Machine Vision Conference 2017 (BMVC 2017), The British Machine Vision Association and Society for Pattern Recognition, 2017, pp. 1 - 13 (atti di: 28th British Machine Vision Conference 2017 (BMVC 2017), London, Imperial College, 4th-7th September 2017) [Contributo in Atti di convegno]

  • Poggi, Matteo; Tosi, Fabio; Mattoccia, Stefano, Efficient confidence measures for embedded stereo, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, Springer Verlag, «LECTURE NOTES IN COMPUTER SCIENCE», 2017, 10484, pp. 483 - 494 (atti di: 19th International Conference on Image Analysis and Processing, ICIAP 2017, ita, 2017) [Contributo in Atti di convegno]

  • Dal Lago, Ugo; Tanaka, Ryo; Yoshimizu, Akira, The geometry of concurrent interaction: Handling multiple ports by way of multiple tokens, in: Lago, Ugo Dal, Proceedings - Symposium on Logic in Computer Science, 2017, pp. 1 - 12 (atti di: 32nd Annual ACM/IEEE Symposium on Logic in Computer Science, LICS 2017, Reykjavik, Iceland, 2017) [Contributo in Atti di convegno]

  • Avanzini, Martin; Dal Lago, Ugo, Automating sized-type inference for complexity analysis, «PROCEEDINGS OF ACM ON PROGRAMMING LANGUAGES», 2017, 1, pp. 1 - 29 [Articolo in rivista]

  • Dal Lago, Ugo; Gavazzo, Francesco; Levy, Paul Blain, Effectful applicative bisimilarity: Monads, relators, and Howe's method, in: Proceedings - Symposium on Logic in Computer Science, IEEE, 2017, pp. 1 - 12 (atti di: 32nd Annual ACM/IEEE Symposium on Logic in Computer Science, LICS 2017, Reykjavik, Iceland, 2017) [Contributo in Atti di convegno]

  • Avanzini, Martin; Ugo Dal, Lago, Automating sized-Type inference and complexity analysis, in: Electronic Proceedings in Theoretical Computer Science, EPTCS, Open Publishing Association, 2017, 248, pp. 7 - 16 (atti di: 8th Workshop on Developments in Implicit Computational ComplExity and 5th Workshop on FOundational and Practical Aspects of Resource Analysis, DICE-FOPARA 2017, Uppsala, Sweden, 2017) [Contributo in Atti di convegno]

  • Poggi, Matteo; Mattoccia, Stefano, Learning to Predict Stereo Reliability Enforcing Local Consistency of Confidence Maps, in: Proceedings of 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2017, pp. 4541 - 4550 (atti di: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, Hawaii (USA), July 21-26, 2017) [Contributo in Atti di convegno]

  • Poggi, Matteo; Tosi, Fabio; Mattoccia, Stefano, Even More Confident Predictions with Deep Machine-Learning, in: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, IEEE Computer Society, «IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS», 2017, 2017-, pp. 393 - 401 (atti di: 12th IEEE Embedded Vision Workshop (EVW2017) held in conjunction with IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, Hawaii (USA), usa, 2017) [Contributo in Atti di convegno]

  • Luca, Acquaviva; Bellavista, Paolo; Bosi, Filippo; Corradi, Antonio; Foschini, Luca; Monti, Stefano; Sabbioni, Andrea, NoMISHAP: A Novel Middleware Support for High Availability in Multicloud PaaS, «IEEE CLOUD COMPUTING», 2017, 4, pp. 60 - 72 [Articolo in rivista]

  • De Benedetto, Jacopo; Bellavista, Paolo; Foschini, Luca, Proximity discovery and data dissemination for mobile crowd sensing using LTE direct, «COMPUTER NETWORKS», 2017, 129, pp. 510 - 521 [Articolo in rivista]

  • Chessa, Stefano; Girolami, Michele; Foschini, Luca; Ianniello, Raffaele; Corradi, Antonio; Bellavista, Paolo, Mobile crowd sensing management with the ParticipAct living lab, «PERVASIVE AND MOBILE COMPUTING», 2017, 38, pp. 200 - 214 [Articolo in rivista]

  • Bellavista, Paolo; Berrocal, Javier; Corradi, Antonio; Foschini, Luca, Mobile crowd sensing as an enabler for people as a service mobile computing, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Verlag, 2017, 10517, pp. 144 - 157 (atti di: 16th International Conference on Ad-Hoc Networks and Wireless, ADHOC-NOW 2017, Italy, 2017) [Contributo in Atti di convegno]

  • Bellavista, Paolo; De Benedetto, Jacopo; De Rolt, Carlos Roberto; Foschini, Luca; Montanari, Rebecca, LTE proximity discovery for supporting participatory mobile health communities, in: IEEE International Conference on Communications, Institute of Electrical and Electronics Engineers Inc., 2017, pp. 1 - 6 (atti di: 2017 IEEE International Conference on Communications, ICC 2017, France, 2017) [Contributo in Atti di convegno]

  • Bellavista, Paolo; Foschini, Luca; Scotece, Domenico, Converging Mobile Edge Computing, Fog Computing, and IoT Quality Requirements, in: Proceedings of the FiCloud International Conference, 2017, pp. 313 - 320 (atti di: The 5th International Conference on Future Internet of Things and Cloud (FiCloud), Repubblica Ceca, Agosto 2017) [Contributo in Atti di convegno]

  • Cavallari, Tommaso; Golodetz, Stuart; Lord, Nicholas A.; Valentin, Julien; Luigi Di, Stefano; Torr, Philip H. S., On-the-Fly Adaptation of Regression Forests for Online Camera Relocalisation, in: Cavallari, Tommaso, Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2017, pp. 218 - 227 (atti di: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, USA, 21-26 July 2017) [Contributo in Atti di convegno]

  • Bellavista, Paolo; Corradi, Antonio; Foschini, Luca; Chessa, Stefano; Girolami, Michele, Human dynamics of mobile crowd sensing experimental datasets, in: IEEE International Conference on Communications, Institute of Electrical and Electronics Engineers Inc., 2017, pp. 1 - 6 (atti di: 2017 IEEE International Conference on Communications, ICC 2017, France, 2017) [Contributo in Atti di convegno]

  • Al Jawarneh, Isam Mashhour; Bellavista, Paolo; Corradi, Antonio; Montanari, Rebecca; Foschini, Luca; Zanotti, Andrea, Efficient spark-based framework for big geospatial data query processing and analysis, in: Proceedings - IEEE Symposium on Computers and Communications, Institute of Electrical and Electronics Engineers Inc., «PROCEEDINGS - IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS», 2017, pp. 851 - 856 (atti di: 2017 IEEE Symposium on Computers and Communications, ISCC 2017, Greece, 2017) [Contributo in Atti di convegno]