@conference {1519,
	title = {Topics in Selective Classification},
	booktitle = {Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023},
	year = {2023},
	publisher = {AAAI Press},
	organization = {AAAI Press},
	abstract = {In recent decades, advancements in information technology allowed Artificial Intelligence (AI) systems to predict future outcomes with unprecedented success. This brought the widespread deployment of these methods in many fields, intending to support decision-making. A pressing question is how to make AI systems robust to common challenges in real-life scenarios and trustworthy. In my work, I plan to explore ways to enhance the trustworthiness of AI through the selective classification framework. In this setting, the AI system can refrain from predicting whenever it is not confident enough, allowing it to trade off coverage, i.e. the percentage of instances that receive a prediction, for performance.},
	doi = {10.1609/aaai.v37i13.26925},
	url = {https://doi.org/10.1609/aaai.v37i13.26925},
	author = {Andrea Pugnana}
}
@article {1483,
	title = {Toward a Standard Approach for Echo Chamber Detection: Reddit Case Study},
	journal = {Applied Sciences},
	volume = {11},
	number = {12},
	year = {2021},
	pages = {5390},
	author = {Morini, Virginia and Pollacci, Laura and Giulio Rossetti}
}
@article {1382,
	title = {Towards the dynamic community discovery in decentralized online social networks},
	journal = {Journal of Grid Computing},
	volume = {17},
	number = {1},
	year = {2019},
	pages = {23{\textendash}44},
	author = {Guidi, Barbara and Michienzi, Andrea and Giulio Rossetti}
}
@article {1218,
	title = {Transparency in Algorithmic Decision Making},
	journal = {ERCIM News},
	number = {116},
	year = {2019},
	url = {https://ercim-news.ercim.eu/en116/special/transparency-in-algorithmic-decision-making-introduction-to-the-special-theme},
	author = {Andreas Rauber and Roberto Trasarti and Fosca Giannotti}
}
@conference {1031,
	title = {There{\textquoteright}s A Path For Everyone: A Data-Driven Personal Model Reproducing Mobility Agendas},
	booktitle = {4th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2017)},
	year = {2017},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Tokyo},
	author = {Riccardo Guidotti and Roberto Trasarti and Mirco Nanni and Fosca Giannotti and Dino Pedreschi}
}
@article {954,
	title = {Tiles: an online algorithm for community discovery in dynamic social networks},
	journal = {Machine Learning},
	volume = {106},
	number = {8},
	year = {2017},
	pages = {1213{\textendash}1241},
	abstract = {Community discovery has emerged during the last decade as one of the most challenging problems in social network analysis. Many algorithms have been proposed to find communities on static networks, i.e. networks which do not change in time. However, social networks are dynamic realities (e.g. call graphs, online social networks): in such scenarios static community discovery fails to identify a partition of the graph that is semantically consistent with the temporal information expressed by the data. In this work we propose Tiles, an algorithm that extracts overlapping communities and tracks their evolution in time following an online iterative procedure. Our algorithm operates following a domino effect strategy, dynamically recomputing nodes community memberships whenever a new interaction takes place. We compare Tiles with state-of-the-art community detection algorithms on both synthetic and real world networks having annotated community structure: our experiments show that the proposed approach is able to guarantee lower execution times and better correspondence with the ground truth communities than its competitors. Moreover, we illustrate the specifics of the proposed approach by discussing the properties of identified communities it is able to identify.},
	doi = {10.1007/s10994-016-5582-8},
	url = {https://link.springer.com/article/10.1007/s10994-016-5582-8},
	author = {Giulio Rossetti and Luca Pappalardo and Dino Pedreschi and Fosca Giannotti}
}
@article {846,
	title = {Towards operator-less data centers through data-driven, predictive, proactive autonomics},
	journal = {Cluster Computing},
	year = {2016},
	month = {04/2016},
	pages = {1{\textendash}14},
	abstract = {Continued reliance on human operators for managing data centers is a major impediment for them from ever reaching extreme dimensions. Large computer systems in general, and data centers in particular, will ultimately be managed using predictive computational and executable models obtained through data-science tools, and at that point, the intervention of humans will be limited to setting high-level goals and policies rather than performing low-level operations. Data-driven autonomics, where management and control are based on holistic predictive models that are built and updated using live data, opens one possible path towards limiting the role of operators in data centers. In this paper, we present a data-science study of a public Google dataset collected in a 12K-node cluster with the goal of building and evaluating predictive models for node failures. Our results support the practicality of a data-driven approach by showing the effectiveness of predictive models based on data found in typical data center logs. We use BigQuery, the big data SQL platform from the Google Cloud suite, to process massive amounts of data and generate a rich feature set characterizing node state over time. We describe how an ensemble classifier can be built out of many Random Forest classifiers each trained on these features, to predict if nodes will fail in a future 24-h window. Our evaluation reveals that if we limit false positive rates to 5 \%, we can achieve true positive rates between 27 and 88 \% with precision varying between 50 and 72 \%. This level of performance allows us to recover large fraction of jobs{\textquoteright} executions (by redirecting them to other nodes when a failure of the present node is predicted) that would otherwise have been wasted due to failures. We discuss the feasibility of including our predictive model as the central component of a data-driven autonomic manager and operating it on-line with live data streams (rather than off-line on data logs). All of the scripts used for BigQuery and classification analyses are publicly available on GitHub.},
	doi = {DOI:10.1007/s10586-016-0564-y},
	url = {http://link.springer.com/article/10.1007/s10586-016-0564-y},
	author = {Alina Sirbu and Ozalp Babaoglu}
}
@conference {898,
	title = {{TOSCA:} two-steps clustering algorithm for personal locations detection},
	booktitle = {Proceedings of the 23rd {SIGSPATIAL} International Conference on Advances in Geographic Information Systems, Bellevue, WA, USA, November 3-6, 2015},
	year = {2015},
	doi = {10.1145/2820783.2820818},
	url = {http://doi.acm.org/10.1145/2820783.2820818},
	author = {Riccardo Guidotti and Roberto Trasarti and Mirco Nanni}
}
@inbook {824,
	title = {Towards a Boosted Route Planner Using Individual Mobility Models},
	booktitle = {Software Engineering and Formal Methods},
	year = {2015},
	pages = {108{\textendash}123},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	author = {Riccardo Guidotti and Paolo Cintia}
}
@conference {803,
	title = {Towards Data-Driven Autonomics in Data Centers},
	booktitle = {IEEE International Conference on Cloud and Autonomic Computing},
	year = {2015},
	publisher = {IEEE},
	organization = {IEEE},
	doi = {DOI:10.1109/ICCAC.2015.19},
	url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7312140\&filter\%3DAND\%28p_IS_Number\%3A7312127\%29},
	author = {Alina Sirbu and Ozalp Babaoglu}
}
@conference {899,
	title = {Towards user-centric data management: individual mobility analytics for collective services},
	booktitle = {Proceedings of the 4th {ACM} {SIGSPATIAL} International Workshop on Mobile Geographic Information Systems, MobiGIS 2015, Bellevue, WA, USA, November 3-6, 2015},
	year = {2015},
	doi = {10.1145/2834126.2834132},
	url = {http://doi.acm.org/10.1145/2834126.2834132},
	author = {Riccardo Guidotti and Roberto Trasarti and Mirco Nanni and Fosca Giannotti}
}
@conference {534,
	title = {Tailoring Moving Patterns to Contexts},
	booktitle = {AGILE Conference},
	year = {2013},
	address = {Leuven, Belgium, 2013},
	author = {Monica Wachowicz and Rebecca Ong and Chiara Renso}
}
@conference {624,
	title = {The Three Dimensions of Social Prominence},
	booktitle = {Social Informatics - 5th International Conference, SocInfo 2013, Kyoto, Japan, November 25-27, 2013, Proceedings},
	year = {2013},
	doi = {10.1007/978-3-319-03260-3_28},
	url = {http://dx.doi.org/10.1007/978-3-319-03260-3_28},
	author = {Diego Pennacchioli and Giulio Rossetti and Luca Pappalardo and Dino Pedreschi and Fosca Giannotti and Michele Coscia}
}
@article {682,
	title = {Towards mega-modeling: a walk through data analysis experiences},
	journal = {{SIGMOD} Record},
	volume = {42},
	number = {3},
	year = {2013},
	pages = {19{\textendash}27},
	doi = {10.1145/2536669.2536673},
	url = {http://doi.acm.org/10.1145/2536669.2536673},
	author = {Stefano Ceri and Themis Palpanas and Emanuele Della Valle and Dino Pedreschi and Johann-Christoph Freytag and Roberto Trasarti}
}
@conference {683,
	title = {Transportation Planning Based on {GSM} Traces: {A} Case Study on Ivory Coast},
	booktitle = {Citizen in Sensor Networks - Second International Workshop, CitiSens 2013, Barcelona, Spain, September 19, 2013, Revised Selected Papers},
	year = {2013},
	doi = {10.1007/978-3-319-04178-0_2},
	url = {http://dx.doi.org/10.1007/978-3-319-04178-0_2},
	author = {Mirco Nanni and Roberto Trasarti and Barbara Furletti and Lorenzo Gabrielli and Peter Van Der Mede and Joost De Bruijn and Erik de Romph and Gerard Bruil}
}
@conference {OngPTNRRG11,
	title = {Traffic Jams Detection Using Flock Mining},
	booktitle = {ECML/PKDD (3)},
	year = {2011},
	pages = {650-653},
	author = {Rebecca Ong and Fabio Pinelli and Roberto Trasarti and Mirco Nanni and Chiara Renso and S Rinzivillo and Fosca Giannotti}
}
@conference {Berlm3sn2010,
	title = {Towards Discovery of Eras in Social Networks},
	booktitle = {M3SN 2010 Workshop, in conjunction with ICDE2010},
	year = {2010},
	abstract = {In the last decades, much research has been devoted in topics related to Social Network Analysis. One important direction in this area is to analyze the temporal evolution of a network. So far, previous approaches analyzed this setting at both the global and the local level. In this paper, we focus on finding a way to detect temporal eras in an evolving network. We pose the basis for a general framework that aims at helping the analyst in browsing the temporal clusters both in a top-down and bottom-up way, exploring the network at any level of temporal details. We show the effectiveness of our approach on real data, by applying our proposed methodology to a co-authorship network extracted from a bibliographic dataset. Our first results are encouraging, and open the way for the definition and implementation of a general framework for discovering eras in evolving social networks.},
	doi = {10.1109/ICDEW.2010.5452713},
	author = {Michele Berlingerio and Michele Coscia and Fosca Giannotti and Anna Monreale and Dino Pedreschi}
}
@conference {BerlingerioPNG09,
	title = {Temporal mining for interactive workflow data analysis},
	booktitle = {KDD},
	year = {2009},
	pages = {109-118},
	author = {Michele Berlingerio and Fabio Pinelli and Mirco Nanni and Fosca Giannotti}
}
@conference {BaglioniMRTW09,
	title = {Towards Semantic Interpretation of Movement Behavior},
	booktitle = {AGILE Conf.},
	year = {2009},
	pages = {271-288},
	author = {Miriam Baglioni and de Jos{\'e} Ant{\^o}nio Fernandes Mac{\^e}do and Chiara Renso and Roberto Trasarti and Monica Wachowicz}
}
@conference {BaglioniMRTW09,
	title = {Towards Semantic Interpretation of Movement Behavior},
	booktitle = {AGILE Conf.},
	year = {2009},
	pages = {271-288},
	author = {Miriam Baglioni and de Jos{\'e} Ant{\^o}nio Fernandes Mac{\^e}do and Chiara Renso and Roberto Trasarti and Monica Wachowicz}
}
@conference {DBLP:conf/gis/Gi,
	title = {Trajectory pattern analysis for urban traffic},
	booktitle = {Second International Workshop on Computational Transportation Science},
	year = {2009},
	month = {11/2009},
	pages = {43-47},
	publisher = {ACM},
	organization = {ACM},
	address = {SEATTLE, USA},
	author = {Fosca Giannotti and Mirco Nanni and Dino Pedreschi and Fabio Pinelli}
}
@conference {DBLP:conf/sebd/BerlingerioGNP08,
	title = {Temporal analysis of process logs: a case study},
	booktitle = {SEBD},
	year = {2008},
	pages = {430-437},
	author = {Michele Berlingerio and Fosca Giannotti and Mirco Nanni and Fabio Pinelli}
}
@conference {RuggieriM08,
	title = {Typing Linear Constraints for Moding CLP() Programs},
	booktitle = {SAS},
	year = {2008},
	pages = {128-143},
	author = {Salvatore Ruggieri and Fr{\'e}d{\'e}ric Mesnard}
}
@conference {DBLP:conf/icdm/BerlingerioBGT07,
	title = {Time-Annotated Sequences for Medical Data Mining},
	booktitle = {ICDM Workshops},
	year = {2007},
	pages = {133-138},
	author = {Michele Berlingerio and Francesco Bonchi and Fosca Giannotti and Franco Turini}
}
@conference {DBLP:conf/sebd/BerlingerioBG07,
	title = {Towards Constraint-Based Subgraph Mining},
	booktitle = {SEBD},
	year = {2007},
	pages = {274-281},
	author = {Michele Berlingerio and Francesco Bonchi and Fosca Giannotti}
}
@conference {DBLP:conf/kdd/GiannottiNPP07,
	title = {Trajectory pattern mining},
	booktitle = {KDD},
	year = {2007},
	pages = {330-339},
	author = {Fosca Giannotti and Mirco Nanni and Fabio Pinelli and Dino Pedreschi}
}
@article {DBLP:journals/jiis/NanniP06,
	title = {Time-focused clustering of trajectories of moving objects},
	journal = {J. Intell. Inf. Syst.},
	volume = {27},
	number = {3},
	year = {2006},
	pages = {267-289},
	author = {Mirco Nanni and Dino Pedreschi}
}
@conference {465,
	title = {A Tool for Economic Plans analysis based on expert knowledge and data mining techniques},
	booktitle = { IADIS International Conference Applied Computing 2006 },
	year = {2006},
	month = {2006},
	isbn = {972-8924-09-7},
	url = {http://www.iadisportal.org/digital-library/mdownload/a-tool-for-economic-plans-analysis-based-on-expert-knowledge-and-data-mining-techniques},
	author = {Miriam Baglioni and Barbara Furletti and Franco Turini}
}
@conference {DBLP:conf/sac/AtzoriBGP06,
	title = {Towards low-perturbation anonymity preserving pattern discovery},
	booktitle = {SAC},
	year = {2006},
	pages = {588-592},
	author = {Maurizio Atzori and Francesco Bonchi and Fosca Giannotti and Dino Pedreschi}
}
@conference {DBLP:conf/cinq/GiannottiMT04,
	title = {Towards a Logic Query Language for Data Mining},
	booktitle = {Database Support for Data Mining Applications},
	year = {2004},
	pages = {76-94},
	author = {Fosca Giannotti and Giuseppe Manco and Franco Turini}
}
@conference {DBLP:conf/dexaw/RaffaetaR00,
	title = {Temporal Reasoning in Geographical Information Systems},
	booktitle = {DEXA Workshop},
	year = {2000},
	pages = {899-905},
	author = {Alessandra Raffaet{\`a} and Chiara Renso}
}
@inbook {ART96,
	title = {Towards {D}eclarative {GIS} {A}nalysis},
	year = {1996},
	note = {{\em Proocedings of the {F}ourth {ACM} {W}orkshop on {A}dvances in {G}eographic {I}nformation {S}ystems}, pages.},
	pages = {99{\textendash}105},
	author = {Domenico Aquilino and Chiara Renso and Franco Turini}
}
@conference {DBLP:conf/gis/AquilinoRT96,
	title = {Towards Declarative GIS Analysis},
	booktitle = {ACM-GIS},
	year = {1996},
	pages = {98-104},
	author = {Domenico Aquilino and Chiara Renso and Franco Turini}
}
@book {DBLP:books/mit/pfenning92/BertolinoMPT92,
	title = {The Type System of LML},
	series = {Types in Logic Programming},
	year = {1992},
	pages = {313-332},
	author = {Bruno Bertolino and Luigi Meo and Dino Pedreschi and Franco Turini}
}
@conference {DBLP:conf/plilp/GiannottiH91,
	title = {A Technique for Recursive Invariance Detection and Selective Program Specification},
	booktitle = {PLILP},
	year = {1991},
	pages = {323-334},
	author = {Fosca Giannotti and Manuel V. Hermenegildo}
}
@conference {DBLP:conf/iclp/BrogiMPT91,
	title = {Theory Construction in Computational Logic},
	booktitle = {ICLP Workshop on Construction of Logic Programs},
	year = {1991},
	pages = {241-250},
	author = {Antonio Brogi and Paolo Mancarella and Dino Pedreschi and Franco Turini}
}
@article {DBLP:journals/jlp/BarbutiMPT90,
	title = {A Transformational Approach to Negation in Logic Programming},
	journal = {J. Log. Program.},
	volume = {8},
	number = {3},
	year = {1990},
	pages = {201-228},
	author = {Roberto Barbuti and Paolo Mancarella and Dino Pedreschi and Franco Turini}
}
@conference {DBLP:conf/db-workshops/AlbanoGOP85,
	title = {The Type System of Galileo},
	booktitle = {Data Types and Persistence (Appin)},
	year = {1985},
	pages = {101-119},
	author = {Antonio Albano and Fosca Giannotti and Renzo Orsini and Dino Pedreschi}
}
@conference {DBLP:conf/pos/AlbanoGOP85,
	title = {The Type System of Galileo},
	booktitle = {Data Types and Persistence (Appin), Informal Proceedings},
	year = {1985},
	pages = {175-195},
	author = {Antonio Albano and Fosca Giannotti and Renzo Orsini and Dino Pedreschi}
}
