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2020 – today

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2024
[j21]
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Natalia V. Andrienko, Gennady L. Andrienko, Alexander Artikis, Periklis Mantenoglou, Salvatore Rinzivillo:
Human-in-the-Loop: Visual Analytics for Building Models Recognizing Behavioral Patterns in Time Series. IEEE Computer Graphics and Applications 44(3): 14-29 (2024)
[c53]
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Paulo Bruno S. Serafim, Pierluigi Crescenzi, Gizem Gezici, Eleonora Cappuccio, Salvatore Rinzivillo, Fosca Giannotti:
Exploring Large Language Models Capabilities to Explain Decision Trees. HHAI 2024: 64-72
[c52]
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Eleonora Cappuccio, Isacco Beretta, Marta Marchiori Manerba, Salvatore Rinzivillo:
An Interactive Interface for Feature Space Navigation. HHAI 2024: 73-83
[c51]
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Maciej Krzysztof Zuziak, Salvatore Rinzivillo:
Amplified Contribution Analysis for Federated Learning. IDA (2) 2024: 68-79
[i13]
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Eleonora Cappuccio, Daniele Fadda, Rosa Lanzilotti, Salvatore Rinzivillo:
Fiper: a Visual-based Explanation Combining Rules and Feature Importance. CoRR abs/2404.16903 (2024)
2023
[j20]
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Francesco Bodria, Fosca Giannotti, Riccardo Guidotti, Francesca Naretto, Dino Pedreschi, Salvatore Rinzivillo:
Benchmarking and survey of explanation methods for black box models. Data Min. Knowl. Discov. 37(5): 1719-1778 (2023)
[j19]
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Cecilia Panigutti, Andrea Beretta, Daniele Fadda, Fosca Giannotti, Dino Pedreschi, Alan Perotti, Salvatore Rinzivillo:
Co-design of Human-centered, Explainable AI for Clinical Decision Support. ACM Trans. Interact. Intell. Syst. 13(4): 21:1-21:35 (2023)
[c50]
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Eleonora Cappuccio, Daniele Fadda, Rosa Lanzilotti, Salvatore Rinzivillo:
Demo: an Interactive Visualization Combining Rule-Based and Feature Importance Explanations. CHItaly 2023: 52:1-52:4
[c49]
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Francesca Naretto, Roberto Pellungrini, Salvatore Rinzivillo, Daniele Fadda:
EXPHLOT: EXplainable Privacy Assessment for Human LOcation Trajectories. DS 2023: 325-340
[c48]
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Maciej Krzysztof Zuziak, Onntje Hinrichs, Aizhan Abdrassulova, Salvatore Rinzivillo:
Data Collaboratives with the Use of Decentralised Learning. FAccT 2023: 615-625
[c47]
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Fosca Giannotti, Riccardo Guidotti, Anna Monreale, Luca Pappalardo, Dino Pedreschi, Roberto Pellungrini, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Mattia Setzu, Rosaria Deluca:
Trustworthy AI at KDD Lab. Ital-IA 2023: 388-393
[e4]
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Fabrizio Falchi, Fosca Giannotti, Anna Monreale, Chiara Boldrini, Salvatore Rinzivillo, Sara Colantonio:
Proceedings of the Italia Intelligenza Artificiale - Thematic Workshops co-located with the 3rd CINI National Lab AIIS Conference on Artificial Intelligence (Ital IA 2023), Pisa, Italy, May 29-30, 2023. CEUR Workshop Proceedings 3486, CEUR-WS.org 2023 [contents]
[i12]
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  - journals/corr/abs-2302-03033
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Carlo Metta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo:
Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling. CoRR abs/2302.03033 (2023)
[i11]
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Manjunatha Veerappa, Salvo Rinzivillo:
Explainable AI - Introduction to the Special Theme. ERCIM News 2023(134) (2023)
2022
[c46]
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Carlo Metta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo:
Exemplars and Counterexemplars Explanations for Skin Lesion Classifiers. HHAI 2022: 258-260
[c45]
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Maciej Zuziak, Salvatore Rinzivillo:
Federated Learning as an Analytical Framework for Personal Data Management - a proposition paper. IAIL@HHAI 2022
[c44]
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Francesco Bodria, Salvatore Rinzivillo, Daniele Fadda, Riccardo Guidotti, Fosca Giannotti, Dino Pedreschi:
Explaining Black Box with Visual Exploration of Latent Space. EuroVis (Short Papers) 2022: 85-89
2021
[j18]
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Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandè, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Paolo Ferragina, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, Kimmo Kaski, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Stan Matwin, David Megías Jiménez, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Fabio Pianesi, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Vicenç Torra, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani:
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Ethics Inf. Technol. 23(S1): 1-6 (2021)
[j17]
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Ioanna Miliou, Xinyue Xiong, Salvatore Rinzivillo, Qian Zhang, Giulio Rossetti, Fosca Giannotti, Dino Pedreschi, Alessandro Vespignani:
Predicting seasonal influenza using supermarket retail records. PLoS Comput. Biol. 17(7) (2021)
[c43]
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Carlo Metta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo:
Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling. ISCC 2021: 1-7
[e3]
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Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I. Communications in Computer and Information Science 1524, Springer 2021, ISBN 978-3-030-93735-5 [contents]
[e2]
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Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II. Communications in Computer and Information Science 1525, Springer 2021, ISBN 978-3-030-93732-4 [contents]
[i10]
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  - journals/corr/abs-2102-13076
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Francesco Bodria, Fosca Giannotti, Riccardo Guidotti, Francesca Naretto, Dino Pedreschi, Salvatore Rinzivillo:
Benchmarking and Survey of Explanation Methods for Black Box Models. CoRR abs/2102.13076 (2021)
[i9]
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  - journals/corr/abs-2111-11863
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Carlo Metta, Andrea Beretta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo, Fosca Giannotti:
Explainable Deep Image Classifiers for Skin Lesion Diagnosis. CoRR abs/2111.11863 (2021)
[i8]
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  - journals/corr/abs-2112-14480
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Luciano Serafini, Raul Barbosa, Jasmin Grosinger, Luca Iocchi, Christian Napoli, Salvatore Rinzivillo, Jacques Robin, Alessandro Saffiotti, Teresa Scantamburlo, Peter Schüller, Paolo Traverso, Javier Vázquez-Salceda:
On some Foundational Aspects of Human-Centered Artificial Intelligence. CoRR abs/2112.14480 (2021)
[i7]
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Salvatore Rinzivillo, Joakim Sundnes, Karin Rainer:
Pandemic Modelling and Simulation - Introduction to the Special Theme. ERCIM News 2021(124) (2021)
[i6]
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Giulio Rossetti, Letizia Milli, Salvatore Rinzivillo:
NDlib: A Python Library to Model and Analyze Diffusion Processes over Complex Networks. ERCIM News 2021(124) (2021)
2020
[j16]
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Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandè, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Paolo Ferragina, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, Kimmo Kaski, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Stan Matwin, David Megías, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Fabio Pianesi, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Vicenç Torra, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani:
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Trans. Data Priv. 13(1): 61-66 (2020)
[e1]
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Irena Koprinska, Michael Kamp, Annalisa Appice, Corrado Loglisci, Luiza Antonie, Albrecht Zimmermann, Riccardo Guidotti, Özlem Özgöbek, Rita P. Ribeiro, Ricard Gavaldà, João Gama, Linara Adilova, Yamuna Krishnamurthy, Pedro M. Ferreira, Donato Malerba, Ibéria Medeiros, Michelangelo Ceci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras, Peter Christen, Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Anna Monreale, Przemyslaw Biecek, Salvatore Rinzivillo, Benjamin Kille, Andreas Lommatzsch, Jon Atle Gulla:
ECML PKDD 2020 Workshops - Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14-18, 2020, Proceedings. Communications in Computer and Information Science 1323, Springer 2020, ISBN 978-3-030-65964-6 [contents]
[i5]
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  - journals/corr/abs-2004-05222
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Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandè, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani:
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. CoRR abs/2004.05222 (2020)
[i4]
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Pietro Bonato, Paolo Cintia, Francesco Fabbri, Daniele Fadda, Fosca Giannotti, Pier Luigi Lopalco, Sara Mazzilli, Mirco Nanni, Luca Pappalardo, Dino Pedreschi, Francesco Penone, Salvatore Rinzivillo, Giulio Rossetti, Marcello Savarese, Lara Tavoschi:
Mobile phone data analytics against the COVID-19 epidemics in Italy: flow diversity and local job markets during the national lockdown. CoRR abs/2004.11278 (2020)
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Paolo Cintia, Daniele Fadda, Fosca Giannotti, Luca Pappalardo, Giulio Rossetti, Dino Pedreschi, Salvo Rinzivillo, Pietro Bonato, Francesco Fabbri, Francesco Penone, Marcello Savarese, Daniele Checchi, Francesca Chiaromonte, Paolo Vineis, Giorgio Guzzetta, Flavia Riccardo, Valentina Marziano, Piero Poletti, Filippo Trentini, Antonino Bella, Xanthi Andrianou, Martina Del Manso, Massimo Fabiani, Stefania Bellino, Stefano Boros, Alberto Mateo Urdiales, Maria Fenicia Vescio, Silvio Brusaferro, Giovanni Rezza, Patrizio Pezzotti, Marco Ajelli, Stefano Merler:
The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy. CoRR abs/2006.03141 (2020)
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  - journals/corr/abs-2012-04651
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Ioanna Miliou, Xinyue Xiong, Salvatore Rinzivillo, Qian Zhang, Giulio Rossetti, Fosca Giannotti, Dino Pedreschi, Alessandro Vespignani:
Predicting seasonal influenza using supermarket retail records. CoRR abs/2012.04651 (2020)

2010 – 2019

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2019
[c42]
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Michela Natilli, Daniele Fadda, Salvatore Rinzivillo, Dino Pedreschi, Federica Licari:
Analysis and Visualization of Performance Indicators in University Admission Tests. FM Workshops (1) 2019: 186-199
[c41]
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Daniele Boncoraglio, Francesca Deri, Francesco Distefano, Daniele Fadda, Giorgio Filippi, Giuseppe Forte, Federica Licari, Michela Natilli, Dino Pedreschi, Salvatore Rinzivillo:
A Visual Analytics Platform to Measure Performance on University Entrance Tests. SEBD 2019
2018
[j15]
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Giulio Rossetti, Letizia Milli, Salvatore Rinzivillo, Alina Sîrbu, Dino Pedreschi, Fosca Giannotti:
NDlib: a python library to model and analyze diffusion processes over complex networks. Int. J. Data Sci. Anal. 5(1): 61-79 (2018)
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Vinicius Monteiro de Lira, Raffaele Perego, Chiara Renso, Salvatore Rinzivillo, Valéria Cesário Times:
Boosting Ride Sharing With Alternative Destinations. IEEE Trans. Intell. Transp. Syst. 19(7): 2290-2300 (2018)
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Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo:
Learning Data Mining. DSAA 2018: 361-370
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Giulio Rossetti, Letizia Milli, Salvatore Rinzivillo:
NDlib: A Python Library to Model and Analyze Diffusion Processes over Complex Networks. WWW (Companion Volume) 2018: 183-186
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Giuseppe Amato, Leonardo Candela, Donatella Castelli, Andrea Esuli, Fabrizio Falchi, Claudio Gennaro, Fosca Giannotti, Anna Monreale, Mirco Nanni, Pasquale Pagano, Luca Pappalardo, Dino Pedreschi, Francesca Pratesi, Fausto Rabitti, Salvatore Rinzivillo, Giulio Rossetti, Salvatore Ruggieri, Fabrizio Sebastiani, Maurizio Tesconi:
How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science. A Comprehensive Guide Through the Italian Database Research 2018: 287-306
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Giulio Rossetti, Letizia Milli, Salvatore Rinzivillo, Alina Sîrbu, Fosca Giannotti, Dino Pedreschi:
NDlib: a Python Library to Model and Analyze Diffusion Processes Over Complex Networks. CoRR abs/1801.05854 (2018)
2017
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Riccardo Guidotti, Mirco Nanni, Salvatore Rinzivillo, Dino Pedreschi, Fosca Giannotti:
Never drive alone: Boosting carpooling with network analysis. Inf. Syst. 64: 237-257 (2017)
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Giulio Rossetti, Letizia Milli, Salvatore Rinzivillo, Alina Sîrbu, Dino Pedreschi, Fosca Giannotti:
NDlib: Studying Network Diffusion Dynamics. DSAA 2017: 155-164
2016
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Natalia V. Andrienko, Gennady L. Andrienko, Salvatore Rinzivillo:
Leveraging spatial abstraction in traffic analysis and forecasting with visual analytics. Inf. Syst. 57: 172-194 (2016)
[j11]
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Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Dino Pedreschi, Fosca Giannotti:
Unveiling mobility complexity through complex network analysis. Soc. Netw. Anal. Min. 6(1): 59:1-59:21 (2016)
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Luca Pappalardo, Salvatore Rinzivillo, Filippo Simini:
Human Mobility Modelling: Exploration and Preferential Return Meet the Gravity Model. ANT/SEIT 2016: 934-939
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Fosca Giannotti, Lorenzo Gabrielli, Dino Pedreschi, Salvatore Rinzivillo:
Understanding Human Mobility with Big Data. Solving Large Scale Learning Tasks 2016: 208-220
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Giulio Rossetti, Luca Pappalardo, Salvatore Rinzivillo:
A Novel Approach to Evaluate Community Detection Algorithms on Ground Truth. CompleNet 2016: 133-144
[c34]
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Chiara Renso, Salvatore Rinzivillo, Valéria Cesário Times, Vinicius Monteiro de Lira, Raffaele Perego:
Searching and Ranking Activity-based Carpooling Ride. IIR 2016
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Natalia V. Andrienko, Gennady L. Andrienko, Salvatore Rinzivillo:
Leveraging Spatial Abstraction in Traffic Analysis and Forecasting with Visual Analytics. ECML/PKDD (3) 2016: 32-35
[c32]
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Vinicius Monteiro de Lira, Salvatore Rinzivillo, Valéria Cesário Times, Chiara Renso, Raffaele Perego:
Activity-based Carpooling with ComeWithMe. SEBD 2016: 142-149
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Vinicius Monteiro de Lira, Chiara Renso, Raffaele Perego, Salvatore Rinzivillo, Valéria Cesário Times:
The ComeWithMe System for Searching and Ranking Activity-Based Carpooling Rides. SIGIR 2016: 1145-1148
2015
[j10]
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Natalia V. Andrienko, Gennady L. Andrienko, Salvatore Rinzivillo:
Exploiting Spatial Abstraction in Predictive Analytics of Vehicle Traffic. ISPRS Int. J. Geo Inf. 4(2): 591-606 (2015)
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Natalia V. Andrienko, Gennady L. Andrienko, Georg Fuchs, Salvatore Rinzivillo, Hans-Dieter Betz:
Detection, tracking, and visualization of spatial event clusters for real time monitoring. DSAA 2015: 1-10
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Vinicius Monteiro de Lira, Valéria Cesário Times, Chiara Renso, Salvatore Rinzivillo:
ComeWithMe: An Activity-Oriented Carpooling Approach. ITSC 2015: 2574-2579
[c28]
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Paolo Cintia, Salvatore Rinzivillo, Luca Pappalardo:
Network-based Measures for Predicting the Outcomes of Football Games. MLSA@PKDD/ECML 2015: 46-54
[c27]
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Natalia V. Andrienko, Gennady L. Andrienko, Georg Fuchs, Salvatore Rinzivillo, Hans-Dieter Betz:
Real Time Detection and Tracking of Spatial Event Clusters. ECML/PKDD (3) 2015: 316-319
2014
[j9]
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Anna Monreale, Salvatore Rinzivillo, Francesca Pratesi, Fosca Giannotti, Dino Pedreschi:
Privacy-by-design in big data analytics and social mining. EPJ Data Sci. 3(1): 10 (2014)
[j8]
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Diego Pennacchioli, Michele Coscia, Salvatore Rinzivillo, Fosca Giannotti, Dino Pedreschi:
The retail market as a complex system. EPJ Data Sci. 3(1): 33 (2014)
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Salvatore Rinzivillo, Lorenzo Gabrielli, Mirco Nanni, Luca Pappalardo, Dino Pedreschi, Fosca Giannotti:
The purpose of motion: Learning activities from Individual Mobility Networks. DSAA 2014: 312-318
[c25]
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Vinicius Monteiro de Lira, Salvatore Rinzivillo, Valéria Cesário Times, Chiara Renso:
MAPMOLTY: A Web Tool for Discovering Place Loyalty Based on Mobile Crowdsource Data. ICWE 2014: 528-531
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Vinicius Monteiro de Lira, Salvatore Rinzivillo, Chiara Renso, Valéria Cesário Times, Patrícia C. A. R. Tedesco:
Investigating semantic regularity of human mobility lifestyle. IDEAS 2014: 314-317
[c23]
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Lorenzo Gabrielli, Salvatore Rinzivillo, Francesco Ronzano, Daniel Villatore:
Understanding Large Events by Semantic Analysis of Twitter Data. SEBD 2014: 417-424
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Lorenzo Gabrielli, Barbara Furletti, Fosca Giannotti, Mirco Nanni, Salvatore Rinzivillo:
Use of Mobile Phone Data to Estimate Visitors Mobility Flows. SEFM Workshops 2014: 214-226
[c21]
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Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Dino Pedreschi, Fosca Giannotti:
Retrieving Points of Interest from Human Systematic Movements. SEFM Workshops 2014: 294-308
2013
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Gennady L. Andrienko, Natalia V. Andrienko, Christophe Hurter, Salvatore Rinzivillo, Stefan Wrobel:
Scalable Analysis of Movement Data for Extracting and Exploring Significant Places. IEEE Trans. Vis. Comput. Graph. 19(7): 1078-1094 (2013)
[c20]
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Anna Monreale, Wendy Hui Wang, Francesca Pratesi, Salvatore Rinzivillo, Dino Pedreschi, Gennady L. Andrienko, Natalia V. Andrienko:
Privacy-Preserving Distributed Movement Data Aggregation. AGILE Conf. 2013: 225-245
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Barbara Furletti, Lorenzo Gabrielli, Chiara Renso, Salvatore Rinzivillo:
Analysis of GSM calls data for understanding user mobility behavior. IEEE BigData 2013: 550-555
[c18]
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Diego Pennacchioli, Michele Coscia, Salvatore Rinzivillo, Dino Pedreschi, Fosca Giannotti:
Explaining the product range effect in purchase data. IEEE BigData 2013: 648-656
[c17]
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Lorenzo Gabrielli, Salvatore Rinzivillo, Francesco Ronzano, Daniel Villatoro:
From Tweets to Semantic Trajectories: Mining Anomalous Urban Mobility Patterns. CitiSens 2013: 26-35
[c16]
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Luca Pappalardo, Salvatore Rinzivillo, Dino Pedreschi, Fosca Giannotti:
Validating general human mobility patterns on massive GPS data. SEBD 2013: 305-312
[c15]
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Francesca Pratesi, Anna Monreale, Hui Wang, Salvatore Rinzivillo, Dino Pedreschi, Gennady L. Andrienko, Natalia V. Andrienko:
Privacy-Aware Distributed Mobility Data Analytics. SEBD 2013: 329-342
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Salvatore Rinzivillo, Fernando de Lucca Siqueira, Lorenzo Gabrielli, Chiara Renso, Vania Bogorny:
Where Have You Been Today? Annotating Trajectories with DayTag. SSTD 2013: 467-471
[p3]
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Davy Janssens, Mirco Nanni, Salvatore Rinzivillo:
Car Traffic Monitoring. Mobility Data 2013: 197-220
2012
[j6]
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Salvatore Rinzivillo, Simone Mainardi, Fabio Pezzoni, Michele Coscia, Dino Pedreschi, Fosca Giannotti:
Discovering the Geographical Borders of Human Mobility. Künstliche Intell. 26(3): 253-260 (2012)
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Davy Janssens, Fosca Giannotti, Mirco Nanni, Dino Pedreschi, Salvatore Rinzivillo:
Data Science for Simulating the Era of Electric Vehicles. Künstliche Intell. 26(3): 275-278 (2012)
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Michele Coscia, Salvatore Rinzivillo, Fosca Giannotti, Dino Pedreschi:
Optimal Spatial Resolution for the Analysis of Human Mobility. ASONAM 2012: 248-252
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Barbara Furletti, Lorenzo Gabrielli, Chiara Renso, Salvatore Rinzivillo:
Identifying users profiles from mobile calls habits. UrbComp@KDD 2012: 17-24
2011
[j4]
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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)
[c11]
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Gennady L. Andrienko, Natalia V. Andrienko, Christophe Hurter, Salvatore Rinzivillo, Stefan Wrobel:
From movement tracks through events to places: Extracting and characterizing significant places from mobility data. IEEE VAST 2011: 161-170
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Salvatore Rinzivillo, Salvatore Ruggieri:
Who/Where Are My New Customers? ISMIS Industrial Session 2011: 307-317
[c9]
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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
[j3]
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Anna Monreale, Gennady L. Andrienko, Natalia V. Andrienko, Fosca Giannotti, Dino Pedreschi, Salvatore Rinzivillo, Stefan Wrobel:
Movement Data Anonymity through Generalization. Trans. Data Priv. 3(2): 91-121 (2010)
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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
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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
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Slava Kisilevich, Florian Mansmann, Mirco Nanni, Salvatore Rinzivillo:
Spatio-temporal clustering. Data Mining and Knowledge Discovery Handbook 2010: 855-874

2000 – 2009

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2009
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Gennady L. Andrienko, Natalia V. Andrienko, Salvatore Rinzivillo, Mirco Nanni, Dino Pedreschi, Fosca Giannotti:
Interactive visual clustering of large collections of trajectories. IEEE VAST 2009: 3-10
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Gennady L. Andrienko, Natalia V. Andrienko, Salvatore Rinzivillo, Mirco Nanni, Dino Pedreschi:
A Visual Analytics Toolkit for Cluster-Based Classification of Mobility Data. SSTD 2009: 432-435
2008
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Salvatore Rinzivillo, Dino Pedreschi, Mirco Nanni, Fosca Giannotti, Natalia V. Andrienko, Gennady L. Andrienko:
Visually driven analysis of movement data by progressive clustering. Inf. Vis. 7(3-4): 225-239 (2008)
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Salvatore Rinzivillo, Franco Turini, Vania Bogorny, Christine Körner, Bart Kuijpers, Michael May:
Knowledge Discovery from Geographical Data. Mobility, Data Mining and Privacy 2008: 243-265
2007
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Salvatore Rinzivillo, Franco Turini:
Knowledge discovery from spatial transactions. J. Intell. Inf. Syst. 28(1): 1-22 (2007)
2006
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Franco Turini, Miriam Baglioni, Barbara Furletti, Salvatore Rinzivillo:
Examples of Integration of Induction and Deduction in Knowledge Discovery. Reasoning, Action and Interaction in AI Theories and Systems 2006: 307-326
2005
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Salvatore Rinzivillo:
Knowledge discovery from spatial transactions. University of Pisa, Italy, 2005
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Salvatore Rinzivillo, Franco Turini:
Extracting spatial association rules from spatial transactions. GIS 2005: 79-86
2004
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Salvatore Rinzivillo, Franco Turini:
Classification in Geographical Information Systems. PKDD 2004: 374-385
2003
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Angelo Gargantini, Elvinia Riccobene, Salvatore Rinzivillo:
Using Spin to Generate Testsfrom ASM Specifications. Abstract State Machines 2003: 263-277

Coauthor Index

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