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ORCIDMichele Berlingerio
Person information
- affiliation: AI Innovation Center, Novartis
- affiliation (former): IBM Research, Dublin, Ireland
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2020 – today
- 2020
[e4]Albert Bifet, Michele Berlingerio, João Gama, Jesse Read, Ana Rita Nogueira
:
Proceedings of the 8th International Workshop on Big Data, IoT Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications co-located with 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019), Anchorage, Alaska, August 4-8, 2019. CEUR Workshop Proceedings 2579, CEUR-WS.org 2020 [contents]
2010 – 2019
- 2019
- [j9]Adi Botea, Akihiro Kishimoto, Evdokia Nikolova, Stefano Braghin, Michele Berlingerio, Elizabeth Daly:
Computing Multi-Modal Journey Plans under Uncertainty. J. Artif. Intell. Res. 65: 633-674 (2019) - [c32]Neil Brockett, Catriona Clarke, Michele Berlingerio, Sourav Dutta:
A System for Analysis and Remediation of Attrition. IEEE BigData 2019: 2016-2019 - [e3]Michele Berlingerio, Francesco Bonchi, Thomas Gärtner, Neil Hurley, Georgiana Ifrim:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part I. Lecture Notes in Computer Science 11051, Springer 2019, ISBN 978-3-030-10924-0 [contents] - [e2]Michele Berlingerio, Francesco Bonchi, Thomas Gärtner, Neil Hurley, Georgiana Ifrim:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11052, Springer 2019, ISBN 978-3-030-10927-1 [contents] - [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] - 2018
- [c31]Michele Berlingerio, Francesca Bonin:
Towards a music-language mapping. LREC 2018 - 2016
- [j8]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) - [j7]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) - [c30]Riccardo Guidotti, Michele Berlingerio:
Where Is My Next Friend? Recommending Enjoyable Profiles in Location Based Services. CompleNet 2016: 65-78 - 2015
- [c29]Riccardo Guidotti, Andrea Sassi, Michele Berlingerio, Alessandra Pascale, Bissan Ghaddar:
Social or Green? A Data-Driven Approach for More Enjoyable Carpooling. ITSC 2015: 842-847 - [c28]Michele Berlingerio:
Multidimensional Network Analysis: Models, Analytics, Applications. MUSE@PKDD/ECML 2015: 1 - [c27]Michele Berlingerio, Veli Bicer, Adi Botea, Stefano Braghin, Nuno Lopes, Riccardo Guidotti, Francesca Pratesi:
Mobility Mining for Journey Planning in Rome. ECML/PKDD (3) 2015: 222-226 - [c26]Michele Berlingerio, Stefano Braghin, Francesco Calabrese, Cody Dunne, Yiannis Gkoufas, Mauro Martino, Jamie C. Rasmussen, Steven I. Ross:
S&P360: Multidimensional Perspective on Companies from Online Data Sources. ECML/PKDD (3) 2015: 320-324 - [c25]Elizabeth Daly, Michele Berlingerio, François Schnitzler:
Crowd Sourcing, with a Few Answers: Recommending Commuters for Traffic Updates. RecSys 2015: 253-256 - 2014
- [c24]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 - [i3]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
- [j6]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) - [j5]Michele Berlingerio, Michele Coscia, Fosca Giannotti, Anna Monreale, Dino Pedreschi:
Evolving networks: Eras and turning points. Intell. Data Anal. 17(1): 27-48 (2013) - [j4]Laura Ferrari, Michele Berlingerio, Francesco Calabrese, Bill Curtis-Davidson:
Measuring Public-Transport Accessibility Using Pervasive Mobility Data. IEEE Pervasive Comput. 12(1): 26-33 (2013) - [j3]Michele Berlingerio, Michele Coscia, Fosca Giannotti, Anna Monreale, Dino Pedreschi:
Multidimensional networks: foundations of structural analysis. World Wide Web 16(5-6): 567-593 (2013) - [c23]Adi Botea, Evdokia Nikolova, Michele Berlingerio:
Multi-Modal Journey Planning in the Presence of Uncertainty. ICAPS 2013 - [c22]Michele Berlingerio, Danai Koutra, Tina Eliassi-Rad, Christos Faloutsos:
Network similarity via multiple social theories. ASONAM 2013: 1439-1440 - [c21]Michele Berlingerio, Francesco Calabrese, Giusy Di Lorenzo, Xiaowen Dong, Yiannis Gkoufas, Dimitrios Mavroeidis:
SaferCity: A System for Detecting and Analyzing Incidents from Social Media. ICDM Workshops 2013: 1077-1080 - [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 - [c19]Igo Ramalho Brilhante, Michele Berlingerio, Roberto Trasarti, Chiara Renso, José Antônio Fernandes de Macêdo, Marco Antonio Casanova:
Point of Interest Communities Discovery over Mobility Data. SEBD 2013: 421-428 - [p2]Laura Spinsanti, Michele Berlingerio, Luca Pappalardo:
Mobility and Geo-Social Networks. Mobility Data 2013: 315-333 - [i2]Michele Berlingerio, Fabio Pinelli, Francesco Calabrese:
ABACUS: Apriori-BAsed Community discovery in mUltidimensional networkS. CoRR abs/1303.2025 (2013) - 2012
- [c18]Igo Ramalho Brilhante, Michele Berlingerio, Roberto Trasarti, Chiara Renso, José Antônio Fernandes de Macêdo, Marco Antonio Casanova:
ComeTogether: Discovering Communities of Places in Mobility Data. MDM 2012: 268-273 - [i1]Michele Berlingerio, Danai Koutra, Tina Eliassi-Rad, Christos Faloutsos:
NetSimile: A Scalable Approach to Size-Independent Network Similarity. CoRR abs/1209.2684 (2012) - 2011
- [j2]Michele Berlingerio, Michele Coscia, Fosca Giannotti, Anna Monreale, Dino Pedreschi:
The pursuit of hubbiness: Analysis of hubs in large multidimensional networks. J. Comput. Sci. 2(3): 223-237 (2011) - [c17]Michele Berlingerio, Michele Coscia, Fosca Giannotti, Anna Monreale, Dino Pedreschi:
Foundations of Multidimensional Network Analysis. ASONAM 2011: 485-489 - [c16]Michele Berlingerio, Michele Coscia, Fosca Giannotti:
Finding and Characterizing Communities in Multidimensional Networks. ASONAM 2011: 490-494 - [c15]Michele Berlingerio, Michele Coscia, Fosca Giannotti:
Finding redundant and complementary communities in multidimensional networks. CIKM 2011: 2181-2184 - [c14]Giulio Rossetti, Michele Berlingerio, Fosca Giannotti:
Scalable Link Prediction on Multidimensional Networks. ICDM Workshops 2011: 979-986 - [c13]Giulio Rossetti, Michele Berlingerio, Fosca Giannotti:
Link Prediction su Reti Multidimensionali. SEBD 2011: 350-357 - 2010
- [j1]Björn Bringmann, Michele Berlingerio, Francesco Bonchi, Aristides Gionis:
Learning and Predicting the Evolution of Social Networks. IEEE Intell. Syst. 25(4): 26-35 (2010) - [c12]Michele Berlingerio, Michele Coscia, Fosca Giannotti, Anna Monreale, Dino Pedreschi:
Towards discovery of eras in social networks. ICDE Workshops 2010: 278-281 - [c11]Michele Berlingerio, Michele Coscia, Fosca Giannotti, Anna Monreale, Dino Pedreschi:
As Time Goes by: Discovering Eras in Evolving Social Networks. PAKDD (1) 2010: 81-90 - [c10]Michele Berlingerio, Michele Coscia, Fosca Giannotti, Anna Monreale, Dino Pedreschi:
Discovering Eras in Evolving Social Networks (Extended Abstract). SEBD 2010: 78-85
2000 – 2009
- 2009
- [c9]Michele Berlingerio, Michele Coscia, Fosca Giannotti:
Mining the Temporal Dimension of the Information Propagation. IDA 2009: 237-248 - [c8]Michele Berlingerio, Fabio Pinelli, Mirco Nanni, Fosca Giannotti:
Temporal mining for interactive workflow data analysis. KDD 2009: 109-118 - [c7]Michele Berlingerio, Francesco Bonchi, Björn Bringmann, Aristides Gionis:
Mining Graph Evolution Rules. ECML/PKDD (1) 2009: 115-130 - [c6]Michele Berlingerio, Michele Coscia, Fosca Giannotti:
Mining the Information Propagation in a Network. SEBD 2009: 333-340 - [p1]Michele Berlingerio, Francesco Bonchi, Michele Curcio, Fosca Giannotti, Franco Turini:
Mining Clinical, Immunological, and Genetic Data of Solid Organ Transplantation. Biomedical Data and Applications 2009: 211-236 - 2008
- [c5]Michele Berlingerio, Fosca Giannotti, Mirco Nanni, Fabio Pinelli:
Temporal analysis of process logs: a case study. SEBD 2008: 430-437 - 2007
- [c4]Michele Berlingerio, Francesco Bonchi, Fosca Giannotti, Franco Turini:
Mining Clinical Data with a Temporal Dimension: A Case Study. BIBM 2007: 429-436 - [c3]Michele Berlingerio, Francesco Bonchi, Fosca Giannotti, Franco Turini:
Time-Annotated Sequences for Medical Data Mining. ICDM Workshops 2007: 133-138 - [c2]Michele Berlingerio, Francesco Bonchi, Fosca Giannotti:
Towards Constraint-Based Subgraph Mining. SEBD 2007: 274-281 - 2006
- [c1]Michele Berlingerio, Francesco Bonchi, Silvia Chelazzi, Michele Curcio, Fosca Giannotti, Fabrizio Scatena:
Mining HLA Patterns Explaining Liver Diseases. CBMS 2006: 702-707
Coauthor Index
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