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2020 – today
- 2022
[c49]Alessandro Berti, Anna Bernasconi, Gianna M. Del Corso, Riccardo Guidotti:
Effect of Different Encodings and Distance Functions on Quantum Instance-Based Classifiers. PAKDD (2) 2022: 96-108- 2021
- [j16]Riccardo Guidotti:
Evaluating local explanation methods on ground truth. Artif. Intell. 291: 103428 (2021) - [j15]Mattia Setzu
, Riccardo Guidotti, Anna Monreale, Franco Turini, Dino Pedreschi, Fosca Giannotti:
GLocalX - From Local to Global Explanations of Black Box AI Models. Artif. Intell. 294: 103457 (2021) - [j14]Riccardo Guidotti, Matteo D'Onofrio:
Matrix Profile-Based Interpretable Time Series Classifier. Frontiers Artif. Intell. 4: 699448 (2021) - [j13]Gennady L. Andrienko, Natalia V. Andrienko, Chiara Boldrini, Guido Caldarelli, Paolo Cintia, Stefano Cresci, Angelo Facchini, Fosca Giannotti, Aristides Gionis, Riccardo Guidotti, Michael Mathioudakis, Cristina Ioana Muntean, Luca Pappalardo, Dino Pedreschi, Evangelos Pournaras, Francesca Pratesi, Maurizio Tesconi, Roberto Trasarti:
(So) Big Data and the transformation of the city. Int. J. Data Sci. Anal. 11(4): 311-340 (2021) - [j12]Alina Sîrbu, Gennady L. Andrienko, Natalia V. Andrienko, Chiara Boldrini, Marco Conti, Fosca Giannotti, Riccardo Guidotti, Simone Bertoli, Jisu Kim, Cristina Ioana Muntean, Luca Pappalardo, Andrea Passarella, Dino Pedreschi, Laura Pollacci, Francesca Pratesi, Rajesh Sharma:
Human migration: the big data perspective. Int. J. Data Sci. Anal. 11(4): 341-360 (2021) - [j11]Alina Sîrbu, Gennady L. Andrienko, Natalia V. Andrienko, Chiara Boldrini, Marco Conti, Fosca Giannotti, Riccardo Guidotti, Simone Bertoli, Jisu Kim, Cristina Ioana Muntean, Luca Pappalardo, Andrea Passarella, Dino Pedreschi, Laura Pollacci, Francesca Pratesi, Rajesh Sharma:
Correction to: Human migration: the big data perspective. Int. J. Data Sci. Anal. 12(1): 77 (2021) - [c48]Mahtab Sarvmaili, Amílcar Soares, Riccardo Guidotti, Anna Monreale, Fosca Giannotti, Dino Pedreschi, Stan Matwin:
A modularized framework for explaining hierarchical attention networks on text classifiers. Canadian Conference on AI 2021 - [c47]Riccardo Guidotti, Anna Monreale:
Designing Shapelets for Interpretable Data-Agnostic Classification. AIES 2021: 532-542 - [c46]Marta Marchiori Manerba, Riccardo Guidotti:
FairShades: Fairness Auditing via Explainability in Abusive Language Detection Systems. CogMI 2021: 34-43 - [c45]Martina Cinquini, Fosca Giannotti, Riccardo Guidotti:
Boosting Synthetic Data Generation with Effective Nonlinear Causal Discovery. CogMI 2021: 54-63 - [c44]Valerio Bonsignori, Riccardo Guidotti, Anna Monreale:
Deriving a Single Interpretable Model by Merging Tree-Based Classifiers. DS 2021: 347-357 - [c43]Riccardo Guidotti, Salvatore Ruggieri:
Ensemble of Counterfactual Explainers. DS 2021: 358-368 - [c42]Mirco Nanni, Agnese Bonavita, Riccardo Guidotti:
City Indicators for Mobility Data Mining. EDBT/ICDT Workshops 2021 - [c41]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 - [e7]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] - [e6]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] - [i11]Mattia Setzu, Riccardo Guidotti, Anna Monreale, Franco Turini, Dino Pedreschi, Fosca Giannotti:
GLocalX - From Local to Global Explanations of Black Box AI Models. CoRR abs/2101.07685 (2021) - [i10]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]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) - 2020
- [j10]Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandé, 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) - [c40]Riccardo Guidotti, Anna Monreale, Stan Matwin, Dino Pedreschi:
Explaining Image Classifiers Generating Exemplars and Counter-Exemplars from Latent Representations. AAAI 2020: 13665-13668 - [c39]Riccardo Guidotti, Stefano Viotto:
Interpretable Next Basket Prediction Boosted with Representative Recipes. CogMI 2020: 62-71 - [c38]Riccardo Guidotti, Anna Monreale, Francesco Spinnato, Dino Pedreschi, Fosca Giannotti:
Explaining Any Time Series Classifier. CogMI 2020: 167-176 - [c37]Orestis Lampridis, Riccardo Guidotti, Salvatore Ruggieri:
Explaining Sentiment Classification with Synthetic Exemplars and Counter-Exemplars. DS 2020: 357-373 - [c36]Agnese Bonavita, Riccardo Guidotti, Mirco Nanni:
Self-Adapting Trajectory Segmentation. EDBT/ICDT Workshops 2020 - [c35]Riccardo Guidotti, Mirco Nanni, Francesca Sbolgi:
Data-Driven Location Annotation for Fleet Mobility Modeling. EDBT/ICDT Workshops 2020 - [c34]Riccardo Guidotti, Anna Monreale:
Data-Agnostic Local Neighborhood Generation. ICDM 2020: 1040-1045 - [c33]Riccardo Guidotti, Mirco Nanni:
Crash Prediction and Risk Assessment with Individual Mobility Networks. MDM 2020: 89-98 - [c32]Riccardo Guidotti, Mirco Nanni, Fosca Giannotti, Dino Pedreschi, Simone Bertoli, Biagio Speciale, Hillel Rapoport:
Measuring Immigrants Adoption of Natives Shopping Consumption with Machine Learning. ECML/PKDD (5) 2020: 369-385 - [c31]Riccardo Guidotti:
Explaining Explanation Methods. BIRDS@SIGIR 2020: 6-13 - [p2]Cecilia Panigutti, Riccardo Guidotti, Anna Monreale, Dino Pedreschi:
Explaining Multi-label Black-Box Classifiers for Health Applications. Precision Health and Medicine 2020: 97-110 - [e5]Emil Sekerinski, Nelma Moreira, José N. Oliveira, Daniel Ratiu, Riccardo Guidotti, Marie Farrell, Matt Luckcuck, Diego Marmsoler, José Campos, Troy Astarte, Laure Gonnord, Antonio Cerone, Luis Couto, Brijesh Dongol, Martin Kutrib, Pedro Monteiro, David Delmas:
Formal Methods. FM 2019 International Workshops - Porto, Portugal, October 7-11, 2019, Revised Selected Papers, Part I. Lecture Notes in Computer Science 12232, Springer 2020, ISBN 978-3-030-54993-0 [contents] - [e4]Emil Sekerinski, Nelma Moreira, José N. Oliveira, Daniel Ratiu, Riccardo Guidotti, Marie Farrell, Matt Luckcuck, Diego Marmsoler, José Campos, Troy Astarte, Laure Gonnord, Antonio Cerone, Luis Couto, Brijesh Dongol, Martin Kutrib, Pedro Monteiro, David Delmas:
Formal Methods. FM 2019 International Workshops - Porto, Portugal, October 7-11, 2019, Revised Selected Papers, Part II. Lecture Notes in Computer Science 12233, Springer 2020, ISBN 978-3-030-54996-1 [contents] - [e3]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] - [i8]Riccardo Guidotti, Anna Monreale, Stan Matwin, Dino Pedreschi:
Black Box Explanation by Learning Image Exemplars in the Latent Feature Space. CoRR abs/2002.03746 (2020) - [i7]Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandé, 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)
2010 – 2019
- 2019
- [j9]Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Franco Turini, Fosca Giannotti, Dino Pedreschi:
A Survey of Methods for Explaining Black Box Models. ACM Comput. Surv. 51(5): 93:1-93:42 (2019) - [j8]Riccardo Guidotti, Anna Monreale, Fosca Giannotti, Dino Pedreschi, Salvatore Ruggieri, Franco Turini:
Factual and Counterfactual Explanations for Black Box Decision Making. IEEE Intell. Syst. 34(6): 14-23 (2019) - [j7]Laura Pollacci, Riccardo Guidotti, Giulio Rossetti, Fosca Giannotti, Dino Pedreschi:
The italian music superdiversity - Geography, emotion and language: one resource to find them, one resource to rule them all. Multim. Tools Appl. 78(3): 3297-3319 (2019) - [j6]Riccardo Guidotti, Giulio Rossetti, Luca Pappalardo, Fosca Giannotti, Dino Pedreschi:
Personalized Market Basket Prediction with Temporal Annotated Recurring Sequences. IEEE Trans. Knowl. Data Eng. 31(11): 2151-2163 (2019) - [c30]Dino Pedreschi, Fosca Giannotti, Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Franco Turini:
Meaningful Explanations of Black Box AI Decision Systems. AAAI 2019: 9780-9784 - [c29]Riccardo Guidotti, Giulio Rossetti:
"Know Thyself" How Personal Music Tastes Shape the Last.Fm Online Social Network. FM Workshops (1) 2019: 146-161 - [c28]Riccardo Guidotti, Salvatore Ruggieri:
On The Stability of Interpretable Models. IJCNN 2019: 1-8 - [c27]Riccardo Guidotti, Anna Monreale, Leonardo Cariaggi:
Investigating Neighborhood Generation Methods for Explanations of Obscure Image Classifiers. PAKDD (1) 2019: 55-68 - [c26]Mattia Setzu, Riccardo Guidotti, Anna Monreale, Franco Turini:
Global Explanations with Local Scoring. PKDD/ECML Workshops (1) 2019: 159-171 - [c25]Riccardo Guidotti, Anna Monreale, Stan Matwin, Dino Pedreschi:
Black Box Explanation by Learning Image Exemplars in the Latent Feature Space. ECML/PKDD (1) 2019: 189-205 - [e2]Carlos Alzate, Anna Monreale, Livio Bioglio, Valerio Bitetta, Ilaria Bordino, Guido Caldarelli, Andrea Ferretti, Riccardo Guidotti, Francesco Gullo, Stefano Pascolutti, Ruggero G. Pensa, Céline Robardet, Tiziano Squartini:
ECML PKDD 2018 Workshops - MIDAS 2018 and PAP 2018, Dublin, Ireland, September 10-14, 2018, Proceedings. Lecture Notes in Computer Science 11054, Springer 2019, ISBN 978-3-030-13462-4 [contents] - [i6]Riccardo Guidotti, Anna Monreale, Dino Pedreschi:
The AI Black Box Explanation Problem. ERCIM News 2019(116) (2019) - 2018
- [j5]Riccardo Guidotti, Lorenzo Gabrielli, Anna Monreale, Dino Pedreschi, Fosca Giannotti:
Discovering temporal regularities in retail customers' shopping behavior. EPJ Data Sci. 7(1): 6 (2018) - [c24]Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo:
Learning Data Mining. DSAA 2018: 361-370 - [c23]Roberto Pellungrini, Anna Monreale, Riccardo Guidotti:
Privacy Risk for Individual Basket Patterns. MIDAS/PAP@PKDD/ECML 2018: 141-155 - [c22]Michela Natilli, Anna Monreale, Riccardo Guidotti, Luca Pappalardo:
Exploring Students Eating Habits Through Individual Profiling and Clustering Analysis. MIDAS/PAP@PKDD/ECML 2018: 156-171 - [c21]Riccardo Guidotti, Jacopo Soldani, Davide Neri, Antonio Brogi, Dino Pedreschi:
Helping Your Docker Images to Spread Based on Explainable Models. ECML/PKDD (3) 2018: 205-221 - [c20]Riccardo Guidotti, Jacopo Soldani, Davide Neri, Antonio Brogi:
Explaining Successful Docker Images Using Pattern Mining Analysis. STAF Workshops 2018: 98-113 - [i5]Riccardo Guidotti, Anna Monreale, Franco Turini, Dino Pedreschi, Fosca Giannotti:
A Survey Of Methods For Explaining Black Box Models. CoRR abs/1802.01933 (2018) - [i4]Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Dino Pedreschi, Franco Turini, Fosca Giannotti:
Local Rule-Based Explanations of Black Box Decision Systems. CoRR abs/1805.10820 (2018) - [i3]Dino Pedreschi, Fosca Giannotti, Riccardo Guidotti, Anna Monreale, Luca Pappalardo, Salvatore Ruggieri, Franco Turini:
Open the Black Box Data-Driven Explanation of Black Box Decision Systems. CoRR abs/1806.09936 (2018) - [i2]Riccardo Guidotti, Salvatore Ruggieri:
Assessing the Stability of Interpretable Models. CoRR abs/1810.09352 (2018) - 2017
- [j4]Riccardo Guidotti, Mirco Nanni, Salvatore Rinzivillo, Dino Pedreschi, Fosca Giannotti:
Never drive alone: Boosting carpooling with network analysis. Inf. Syst. 64: 237-257 (2017) - [j3]Roberto Trasarti, Riccardo Guidotti, Anna Monreale, Fosca Giannotti:
MyWay: Location prediction via mobility profiling. Inf. Syst. 64: 350-367 (2017) - [c19]Riccardo Guidotti, Roberto Trasarti, Mirco Nanni, Fosca Giannotti, Dino Pedreschi:
There's a Path for Everyone: A Data-Driven Personal Model Reproducing Mobility Agendas. DSAA 2017: 303-312 - [c18]Laura Pollacci, Riccardo Guidotti, Giulio Rossetti, Fosca Giannotti, Dino Pedreschi:
The Fractal Dimension of Music: Geography, Popularity and Sentiment Analysis. GOODTECHS 2017: 183-194 - [c17]Riccardo Guidotti, Michele Coscia:
On the Equivalence Between Community Discovery and Clustering. GOODTECHS 2017: 342-352 - [c16]Riccardo Guidotti, Lorenzo Gabrielli:
Recognizing Residents and Tourists with Retail Data Using Shopping Profiles. GOODTECHS 2017: 353-363 - [c15]Riccardo Guidotti, Giulio Rossetti, Luca Pappalardo, Fosca Giannotti, Dino Pedreschi:
Market Basket Prediction Using User-Centric Temporal Annotated Recurring Sequences. ICDM 2017: 895-900 - [c14]Riccardo Guidotti, Anna Monreale, Mirco Nanni, Fosca Giannotti, Dino Pedreschi:
Clustering Individual Transactional Data for Masses of Users. KDD 2017: 195-204 - [e1]Riccardo Guidotti, Anna Monreale, Dino Pedreschi, Serge Abiteboul:
Personal Analytics and Privacy. An Individual and Collective Perspective - First International Workshop, PAP 2017, Held in Conjunction with ECML PKDD 2017, Skopje, Macedonia, September 18, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10708, Springer 2017, ISBN 978-3-319-71969-6 [contents] - [i1]Riccardo Guidotti, Giulio Rossetti, Luca Pappalardo, Fosca Giannotti, Dino Pedreschi:
Next Basket Prediction using Recurring Sequential Patterns. CoRR abs/1702.07158 (2017) - 2016
- [j2]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) - [j1]Giulio Rossetti, Riccardo Guidotti, Ioanna Miliou, Dino Pedreschi, Fosca Giannotti:
A supervised approach for intra-/inter-community interaction prediction in dynamic social networks. Soc. Netw. Anal. Min. 6(1): 86:1-86:20 (2016) - [c13]Riccardo Guidotti, Michele Berlingerio:
Where Is My Next Friend? Recommending Enjoyable Profiles in Location Based Services. CompleNet 2016: 65-78 - [c12]Riccardo Guidotti, Michele Coscia, Dino Pedreschi, Diego Pennacchioli:
Going Beyond GDP to Nowcast Well-Being Using Retail Market Data. NetSci-X 2016: 29-42 - [c11]Riccardo Guidotti, Giulio Rossetti, Dino Pedreschi:
Audio Ergo Sum - A Personal Data Model for Musical Preferences. STAF Workshops 2016: 51-66 - [p1]Mirco Nanni, Lars Kotthoff, Riccardo Guidotti, Barry O'Sullivan, Dino Pedreschi:
ICON Loop Carpooling Show Case. Data Mining and Constraint Programming 2016: 310-324 - 2015
- [c10]Giulio Rossetti, Riccardo Guidotti, Diego Pennacchioli, Dino Pedreschi, Fosca Giannotti:
Interaction Prediction in Dynamic Networks exploiting Community Discovery. ASONAM 2015: 553-558 - [c9]Lars Kotthoff, Mirco Nanni, Riccardo Guidotti, Barry O'Sullivan:
Find Your Way Back: Mobility Profile Mining with Constraints. CP 2015: 638-653 - [c8]Riccardo Guidotti, Michele Coscia, Dino Pedreschi, Diego Pennacchioli:
Behavioral entropy and profitability in retail. DSAA 2015: 1-10 - [c7]Riccardo Guidotti, Roberto Trasarti, Mirco Nanni:
TOSCA: two-steps clustering algorithm for personal locations detection. SIGSPATIAL/GIS 2015: 38:1-38:10 - [c6]Riccardo Guidotti, Roberto Trasarti, Mirco Nanni, Fosca Giannotti:
Towards user-centric data management: individual mobility analytics for collective services. MobiGIS 2015: 80-83 - [c5]Adi Botea, Stefano Braghin, Nuno Lopes, Riccardo Guidotti, Francesca Pratesi:
Managing travels with PETRA: The Rome use case. ICDE Workshops 2015: 110-111 - [c4]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 - [c3]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 - [c2]Riccardo Guidotti, Paolo Cintia:
Towards a Boosted Route Planner Using Individual Mobility Models. SEFM Workshops 2015: 108-123 - 2014
- [c1]Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Dino Pedreschi, Fosca Giannotti:
Retrieving Points of Interest from Human Systematic Movements. SEFM Workshops 2014: 294-308
Coauthor Index
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