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2020 – today
- 2024
[j10]Leonardo Mazzoni
, Fabio Pinelli, Massimo Riccaboni:
Measuring corporate digital divide through websites: insights from Italian firms. EPJ Data Sci. 13(1): 51 (2024)- [c35]Gabriele Costa, Silvia de Francisci, Letterio Galletta, Cosimo Perini Brogi, Marinella Petrocchi, Fabio Pinelli, Roberto Pizziol, Manuel Pratelli, Margherita Renieri, Simone Soderi, Mirco Tribastone, Serenella Valiani:
Systems Security Modeling and Analysis at IMT Lucca. ISoLA (1) 2024: 13-26 - [c34]Chiara Pugliese, Francesco Lettich, Fabio Pinelli, Chiara Renso:
Understanding Human Mobility Dynamics: Insights from Summarized Semantic Trajectories. MDM 2024: 159-164 - [c33]John Bianchi, Manuel Pratelli, Marinella Petrocchi, Fabio Pinelli:
Evaluating Trustworthiness of Online News Publishers via Article Classification. SAC 2024: 671-678 - [c32]Letterio Galletta, Fabio Pinelli:
Explainable Ponzi Schemes Detection on Ethereum. SAC 2024: 1014-1023 - [i8]John Bianchi, Manuel Pratelli, Marinella Petrocchi, Fabio Pinelli:
Evaluating Trustworthiness of Online News Publishers via Article Classification. CoRR abs/2401.01781 (2024) - 2023
- [j9]Francesco Lettich, Chiara Pugliese, Chiara Renso, Fabio Pinelli:
Semantic Enrichment of Mobility Data: A Comprehensive Methodology and the MAT-BUILDER System. IEEE Access 11: 90857-90875 (2023) - [c31]Chiara Pugliese, Francesco Lettich, Fabio Pinelli, Chiara Renso:
Summarizing Trajectories Using Semantically Enriched Geographical Context. SIGSPATIAL/GIS 2023: 44:1-44:10 - [c30]Francesco Lettich, Chiara Pugliese, Chiara Renso, Fabio Pinelli:
A general methodology for building multiple aspect trajectories. SAC 2023: 515-517 - [c29]Fabio Pinelli, Gabriele Tolomei, Giovanni Trappolini:
FLIRT: Federated Learning for Information Retrieval. SIGIR 2023: 3472-3475 - [i7]Letterio Galletta, Fabio Pinelli:
Sharpening Ponzi Schemes Detection on Ethereum with Machine Learning. CoRR abs/2301.04872 (2023) - 2022
- [j8]Gabriele Costa, Fabio Pinelli, Simone Soderi, Gabriele Tolomei:
Turning Federated Learning Systems Into Covert Channels. IEEE Access 10: 130642-130656 (2022) - [j7]Gabriele Tolomei, Fabio Pinelli, Fabrizio Silvestri:
Editorial: Human-Interpretable Machine Learning. Frontiers Big Data 5 (2022) - [c28]Chiara Pugliese, Francesco Lettich, Chiara Renso, Fabio Pinelli:
MAT-Builder: a System to Build Semantically Enriched Trajectories. MDM 2022: 274-277 - [c27]Chiara Pugliese, Francesco Lettich, Chiara Renso, Fabio Pinelli:
MAT-Builder: a System to Build Semantically Enriched Trajectories. SEBD 2022: 175-182 - [i6]Gabriele Tolomei, Lorenzo Takanen, Fabio Pinelli:
MUSTACHE: Multi-Step-Ahead Predictions for Cache Eviction. CoRR abs/2211.02177 (2022) - 2021
- [i5]Gabriele Costa, Fabio Pinelli, Simone Soderi, Gabriele Tolomei:
Covert Channel Attack to Federated Learning Systems. CoRR abs/2104.10561 (2021)
2010 – 2019
- 2019
- [e1]Ulf Brefeld, Edward Curry, Elizabeth Daly, Brian MacNamee, Alice Marascu, Fabio Pinelli, Michele Berlingerio, Neil Hurley:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part III. Lecture Notes in Computer Science 11053, Springer 2019, ISBN 978-3-030-10996-7 [contents] - 2016
- [j6]Fabio Pinelli, Rahul Nair, Francesco Calabrese, Michele Berlingerio, Giusy Di Lorenzo, Marco Luca Sbodio:
Data-Driven Transit Network Design From Mobile Phone Trajectories. IEEE Trans. Intell. Transp. Syst. 17(6): 1724-1733 (2016) - [j5]Giusy Di Lorenzo, Marco Luca Sbodio, Francesco Calabrese, Michele Berlingerio, Fabio Pinelli, Rahul Nair:
AllAboard: Visual Exploration of Cellphone Mobility Data to Optimise Public Transport. IEEE Trans. Vis. Comput. Graph. 22(2): 1036-1050 (2016) - 2015
- [j4]Fabio Pinelli, Francesco Calabrese, Eric Bouillet:
A Methodology for Denoising and Generating Bus Infrastructure Data. IEEE Trans. Intell. Transp. Syst. 16(2): 1042-1047 (2015) - [c26]Ernesto Diaz-Aviles, Fabio Pinelli, Karol Lynch, Zubair Nabi, Yiannis Gkoufas, Eric Bouillet, Francesco Calabrese, Eoin Coughlan, Peter Holland, Jason Salzwedel:
Towards real-time customer experience prediction for telecommunication operators. IEEE BigData 2015: 1063-1072 - [c25]Fabio Pinelli, Giusy Di Lorenzo, Francesco Calabrese:
Comparing Urban Sensing Applications Using Event and Network-Driven Mobile Phone Location Data. MDM (1) 2015: 219-226 - [c24]Yuxiao Dong, Fabio Pinelli, Yiannis Gkoufas, Zubair Nabi, Francesco Calabrese, Nitesh V. Chawla:
Inferring Unusual Crowd Events from Mobile Phone Call Detail Records. ECML/PKDD (2) 2015: 474-492 - [i4]Yuxiao Dong, Fabio Pinelli, Yiannis Gkoufas, Zubair Nabi, Francesco Calabrese, Nitesh V. Chawla:
Inferring Unusual Crowd Events From Mobile Phone Call Detail Records. CoRR abs/1504.03643 (2015) - [i3]Ernesto Diaz-Aviles, Fabio Pinelli, Karol Lynch, Zubair Nabi, Yiannis Gkoufas, Eric Bouillet, Francesco Calabrese, Eoin Coughlan, Peter Holland, Jason Salzwedel:
Towards Real-time Customer Experience Prediction for Telecommunication Operators. CoRR abs/1508.02884 (2015) - 2014
- [j3]Anna Monreale, Dino Pedreschi, Ruggero G. Pensa, Fabio Pinelli:
Anonymity preserving sequential pattern mining. Artif. Intell. Law 22(2): 141-173 (2014) - [c23]Giusy Di Lorenzo, Marco Luca Sbodio, Francesco Calabrese, Michele Berlingerio, Rahul Nair, Fabio Pinelli:
AllAboard: visual exploration of cellphone mobility data to optimise public transport. IUI 2014: 335-340 - [i2]Ernesto Diaz-Aviles, Hoang Thanh Lam, Fabio Pinelli, Stefano Braghin, Yiannis Gkoufas, Michele Berlingerio, Francesco Calabrese:
Predicting User Engagement in Twitter with Collaborative Ranking. CoRR abs/1412.7990 (2014) - 2013
- [j2]Michele Berlingerio, Fabio Pinelli, Francesco Calabrese:
ABACUS: frequent pAttern mining-BAsed Community discovery in mUltidimensional networkS. Data Min. Knowl. Discov. 27(3): 294-320 (2013) - [c22]Bei Chen, Fabio Pinelli, Mathieu Sinn, Adi Botea, Francesco Calabrese:
Uncertainty in urban mobility: Predicting waiting times for shared bicycles and parking lots. ITSC 2013: 53-58 - [c21]Fabio Pinelli, Francesco Calabrese, Eric P. Bouillet:
Robust bus-stop identification and denoising methodology. ITSC 2013: 2298-2303 - [c20]Michele Berlingerio, Francesco Calabrese, Giusy Di Lorenzo, Rahul Nair, Fabio Pinelli, Marco Luca Sbodio:
AllAboard: A System for Exploring Urban Mobility and Optimizing Public Transport Using Cellphone Data. ECML/PKDD (3) 2013: 663-666 - [i1]Michele Berlingerio, Fabio Pinelli, Francesco Calabrese:
ABACUS: Apriori-BAsed Community discovery in mUltidimensional networkS. CoRR abs/1303.2025 (2013) - 2012
- [c19]Cathal Coffey, Rahul Nair, Fabio Pinelli, Alexei Pozdnoukhov, Francesco Calabrese:
Missed connections: quantifying and optimizing multi-modal interconnectivity in cities. CTS@SIGSPATIAL 2012: 26-32 - [c18]Ji Won Yoon, Fabio Pinelli, Francesco Calabrese:
Cityride: A Predictive Bike Sharing Journey Advisor. MDM 2012: 306-311 - [c17]Roberto Trasarti, Fabio Pinelli, Mirco Nanni, Fosca Giannotti:
Individual Mobility Profiles: Methods and Application on Vehicle Sharing. SEBD 2012: 35-42 - 2011
- [j1]Fosca Giannotti, Mirco Nanni, Dino Pedreschi, Fabio Pinelli, Chiara Renso, Salvatore Rinzivillo, Roberto Trasarti:
Unveiling the complexity of human mobility by querying and mining massive trajectory data. VLDB J. 20(5): 695-719 (2011) - [c16]Roberto Trasarti, Fabio Pinelli, Mirco Nanni, Fosca Giannotti:
Mining mobility user profiles for car pooling. KDD 2011: 1190-1198 - [c15]Rebecca Ong, Fabio Pinelli, Roberto Trasarti, Mirco Nanni, Chiara Renso, Salvatore Rinzivillo, Fosca Giannotti:
Traffic Jams Detection Using Flock Mining. ECML/PKDD (3) 2011: 650-653 - 2010
- [c14]Fosca Giannotti, Mirco Nanni, Dino Pedreschi, Fabio Pinelli, Chiara Renso, Salvatore Rinzivillo, Roberto Trasarti:
Mobility data mining: discovering movement patterns from trajectory data. Computational Transportation Science 2010: 7-10 - [c13]Roberto Trasarti, Salvatore Rinzivillo, Fabio Pinelli, Mirco Nanni, Anna Monreale, Chiara Renso, Dino Pedreschi, Fosca Giannotti:
Exploring Real Mobility Data with M-Atlas. ECML/PKDD (3) 2010: 624-627 - [c12]Anna Monreale, Fabio Pinelli, Roberto Trasarti, Fosca Giannotti:
Location Prediction through Trajectory Pattern Mining (Extended Abstract). SEBD 2010: 134-141
2000 – 2009
- 2009
- [c11]Fosca Giannotti, Mirco Nanni, Dino Pedreschi, Fabio Pinelli:
Trajectory pattern analysis for urban traffic. GIS-IWCTS 2009: 43-47 - [c10]Fabio Pinelli, Anyang Hou, Francesco Calabrese, Mirco Nanni, Chris Zegras, Carlo Ratti:
Space and time-dependant bus accessibility: A case study in Rome. ITSC 2009: 1-6 - [c9]Michele Berlingerio, Fabio Pinelli, Mirco Nanni, Fosca Giannotti:
Temporal mining for interactive workflow data analysis. KDD 2009: 109-118 - [c8]Anna Monreale, Fabio Pinelli, Roberto Trasarti, Fosca Giannotti:
WhereNext: a location predictor on trajectory pattern mining. KDD 2009: 637-646 - [c7]Ruggero G. Pensa, Anna Monreale, Fabio Pinelli, Dino Pedreschi:
Anonymous Sequences from Trajectory Data. SEBD 2009: 361-372 - [c6]Giusy Di Lorenzo, Fabio Pinelli, Francisco C. Pereira, Assaf Biderman, Carlo Ratti, Charles Lee, Chuuhee Lee:
An Affective Intelligent Driving Agent: Driver's Trajectory and Activities Prediction. VTC Fall 2009 - 2008
- [c5]Ruggero G. Pensa, Anna Monreale, Fabio Pinelli, Dino Pedreschi:
Pattern-Preserving k-Anonymization of Sequences and its Application to Mobil- ity Data Mining. PiLBA 2008 - [c4]Fabio Pinelli, Anna Monreale, Roberto Trasarti, Fosca Giannotti:
Location prediction within the mobility data analysis environment DAEDALUS. MobiQuitous 2008 - [c3]Michele Berlingerio, Fosca Giannotti, Mirco Nanni, Fabio Pinelli:
Temporal analysis of process logs: a case study. SEBD 2008: 430-437 - 2007
- [c2]Fosca Giannotti, Mirco Nanni, Fabio Pinelli, Dino Pedreschi:
Trajectory pattern mining. KDD 2007: 330-339 - 2006
- [c1]Fosca Giannotti, Mirco Nanni, Dino Pedreschi, Fabio Pinelli:
Mining sequences with temporal annotations. SAC 2006: 593-597
Coauthor Index
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last updated on 2024-10-23 21:29 CEST by the dblp team
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