Fabio Pinelli

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 18

Top Topics

Machine Learning

Semantically Enriched

Top Venues

IEEE Trans. Intell. Transp. Syst.

Publications

Chiara Pugliese, Francesco Lettich, Fabio Pinelli, Chiara Renso
Understanding Human Mobility Dynamics: Insights from Summarized Semantic Trajectories. MDM (2024)
Letterio Galletta, Fabio Pinelli
Explainable Ponzi Schemes Detection on Ethereum. SAC (2024)
John Bianchi, Manuel Pratelli, Marinella Petrocchi, Fabio Pinelli
Evaluating Trustworthiness of Online News Publishers via Article Classification. CoRR (2024)
John Bianchi, Manuel Pratelli, Marinella Petrocchi, Fabio Pinelli
Evaluating Trustworthiness of Online News Publishers via Article Classification. SAC (2024)
Leonardo Mazzoni, Fabio Pinelli, Massimo Riccaboni
Measuring corporate digital divide through websites: insights from Italian firms. EPJ Data Sci. 13 (1) (2024)
Chiara Pugliese, Francesco Lettich, Fabio Pinelli, Chiara Renso
Summarizing Trajectories Using Semantically Enriched Geographical Context. SIGSPATIAL/GIS (2023)
Fabio Pinelli, Gabriele Tolomei, Giovanni Trappolini
FLIRT: Federated Learning for Information Retrieval. SIGIR (2023)
Francesco Lettich, Chiara Pugliese, Chiara Renso, Fabio Pinelli
Semantic Enrichment of Mobility Data: A Comprehensive Methodology and the MAT-BUILDER System. IEEE Access 11 (2023)
Letterio Galletta, Fabio Pinelli
Sharpening Ponzi Schemes Detection on Ethereum with Machine Learning. CoRR (2023)
Francesco Lettich, Chiara Pugliese, Chiara Renso, Fabio Pinelli
A general methodology for building multiple aspect trajectories. SAC (2023)
Gabriele Tolomei, Fabio Pinelli, Fabrizio Silvestri
Editorial: Human-Interpretable Machine Learning. Frontiers Big Data 5 (2022)
Chiara Pugliese, Francesco Lettich, Chiara Renso, Fabio Pinelli
MAT-Builder: a System to Build Semantically Enriched Trajectories. MDM (2022)
Chiara Pugliese, Francesco Lettich, Chiara Renso, Fabio Pinelli
MAT-Builder: a System to Build Semantically Enriched Trajectories. SEBD (2022)
Gabriele Costa, Fabio Pinelli, Simone Soderi, Gabriele Tolomei
Turning Federated Learning Systems Into Covert Channels. IEEE Access 10 (2022)
Gabriele Tolomei, Lorenzo Takanen, Fabio Pinelli
MUSTACHE: Multi-Step-Ahead Predictions for Cache Eviction. CoRR (2022)
Gabriele Costa, Fabio Pinelli, Simone Soderi, Gabriele Tolomei
Covert Channel Attack to Federated Learning Systems. CoRR (2021)
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) (2016)
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) (2016)
Fabio Pinelli, Giusy Di Lorenzo, Francesco Calabrese
Comparing Urban Sensing Applications Using Event and Network-Driven Mobile Phone Location Data. MDM (1) (2015)
Fabio Pinelli, Francesco Calabrese, Eric Bouillet
A Methodology for Denoising and Generating Bus Infrastructure Data. IEEE Trans. Intell. Transp. Syst. 16 (2) (2015)
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)
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 (2015)
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)
Yuxiao Dong, Fabio Pinelli, Yiannis Gkoufas, Zubair Nabi, Francesco Calabrese, Nitesh V. Chawla
Inferring Unusual Crowd Events From Mobile Phone Call Detail Records. CoRR (2015)
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 (2014)
Anna Monreale, Dino Pedreschi, Ruggero G. Pensa, Fabio Pinelli
Anonymity preserving sequential pattern mining. Artif. Intell. Law 22 (2) (2014)
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)
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)
Michele Berlingerio, Fabio Pinelli, Francesco Calabrese
ABACUS: frequent pAttern mining-BAsed Community discovery in mUltidimensional networkS. Data Min. Knowl. Discov. 27 (3) (2013)
Fabio Pinelli, Francesco Calabrese, Eric P. Bouillet
Robust bus-stop identification and denoising methodology. ITSC (2013)
Michele Berlingerio, Fabio Pinelli, Francesco Calabrese
ABACUS: Apriori-BAsed Community discovery in mUltidimensional networkS CoRR (2013)
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)
Ji Won Yoon, Fabio Pinelli, Francesco Calabrese
Cityride: A Predictive Bike Sharing Journey Advisor. MDM (2012)
Roberto Trasarti, Fabio Pinelli, Mirco Nanni, Fosca Giannotti
Individual Mobility Profiles: Methods and Application on Vehicle Sharing. SEBD (2012)
Cathal Coffey, Rahul Nair, Fabio Pinelli, Alexei Pozdnoukhov, Francesco Calabrese
Missed connections: quantifying and optimizing multi-modal interconnectivity in cities. CTS@SIGSPATIAL (2012)
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) (2011)
Roberto Trasarti, Fabio Pinelli, Mirco Nanni, Fosca Giannotti
Mining mobility user profiles for car pooling. KDD (2011)
Rebecca Ong, Fabio Pinelli, Roberto Trasarti, Mirco Nanni, Chiara Renso, Salvatore Rinzivillo, Fosca Giannotti
Traffic Jams Detection Using Flock Mining. ECML/PKDD (3) (2011)
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)
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)
Anna Monreale, Fabio Pinelli, Roberto Trasarti, Fosca Giannotti
Location Prediction through Trajectory Pattern Mining (Extended Abstract). SEBD (2010)
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)
Michele Berlingerio, Fabio Pinelli, Mirco Nanni, Fosca Giannotti
Temporal mining for interactive workflow data analysis. KDD (2009)
Anna Monreale, Fabio Pinelli, Roberto Trasarti, Fosca Giannotti
WhereNext: a location predictor on trajectory pattern mining. KDD (2009)
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)
Ruggero G. Pensa, Anna Monreale, Fabio Pinelli, Dino Pedreschi
Anonymous Sequences from Trajectory Data. SEBD (2009)
Fosca Giannotti, Mirco Nanni, Dino Pedreschi, Fabio Pinelli
Trajectory pattern analysis for urban traffic. GIS-IWCTS (2009)
Fabio Pinelli, Anna Monreale, Roberto Trasarti, Fosca Giannotti
Location prediction within the mobility data analysis environment DAEDALUS. MobiQuitous (2008)
Michele Berlingerio, Fosca Giannotti, Mirco Nanni, Fabio Pinelli
Temporal analysis of process logs: a case study. SEBD (2008)
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)
Fosca Giannotti, Mirco Nanni, Fabio Pinelli, Dino Pedreschi
Trajectory pattern mining. KDD (2007)
Fosca Giannotti, Mirco Nanni, Dino Pedreschi, Fabio Pinelli
Mining sequences with temporal annotations. SAC (2006)