Riccardo Guidotti

196 papers A* 9A 3B 25C 3Misc 1Journal 74Unranked 60

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Evaluating Online Moderation via LLM-Powered Counterfactual Simulations. AAAI Giacomo Fidone, Lucia C. Passaro, Riccardo Guidotti
2026	—	`ed.`	Explainable Artificial Intelligence - Third World Conference, xAI 2025, Istanbul, Turkey, July 9-11, 2025, Proceedings, Part I xAI (1) Riccardo Guidotti, Ute Schmid, Luca Longo
2026	—	`ed.`	Explainable Artificial Intelligence - Third World Conference, xAI 2025, Istanbul, Turkey, July 9-11, 2025, Proceedings, Part II xAI (2) Riccardo Guidotti, Ute Schmid, Luca Longo
2026	—	`ed.`	Explainable Artificial Intelligence - Third World Conference, xAI 2025, Istanbul, Turkey, July 9-11, 2025, Proceedings, Part III xAI (3) Riccardo Guidotti, Ute Schmid, Luca Longo
2026	—	`ed.`	Explainable Artificial Intelligence - Third World Conference, xAI 2025, Istanbul, Turkey, July 9-11, 2025, Proceedings, Part IV xAI (4) Riccardo Guidotti, Ute Schmid, Luca Longo
2026	—	`ed.`	Explainable Artificial Intelligence - Third World Conference, xAI 2025, Istanbul, Turkey, July 9-11, 2025, Proceedings, Part V xAI (5) Riccardo Guidotti, Ute Schmid, Luca Longo
2026	—	`conf`	Realistic Counterfactual Explanations for Clinical AI-decision Aid on Computed Tomography for Adaptive Radiotherapy. HICSS Luca Mira Heising, Carol Ou, Frank Verhaegen, Cecile J. A. Wolfs, Martina Cinquini, Francesco Spinnato, Maria Jacobs, Riccardo Guidotti
2025	J	`jnl`	A Bias Injection Technique to Assess the Resilience of Causal Discovery Methods. IEEE Access Martina Cinquini, Karima Makhlouf, Sami Zhioua, Catuscia Palamidessi, Riccardo Guidotti
2025	J	`jnl`	A Frank System for Co-Evolutionary Hybrid Decision-Making. CoRR Federico Mazzoni, Riccardo Guidotti, Alessio Malizia
2025	—	`conf`	An Interpretable Data-Driven Approach for Modeling Toxic Users via Feature Extraction. xAI (3) Laura Pollacci, Jacopo Gneri, Riccardo Guidotti
2025	A	`conf`	An Interpretable Data-Driven Unsupervised Approach for the Prevention of Forgotten Items. ECAI Luca Corbucci, Javier Alejandro Borges Legrottaglie, Francesco Spinnato, Anna Monreale, Riccardo Guidotti
2025	J	`jnl`	An Interpretable Data-Driven Unsupervised Approach for the Prevention of Forgotten Items. CoRR Luca Corbucci, Javier Alejandro Borges Legrottaglie, Francesco Spinnato, Anna Monreale, Riccardo Guidotti
2025	—	`conf`	Balancing Fairness and Interpretability in Clustering with FairParTree. xAI (2) Cristiano Landi, Alessio Cascione, Marta Marchiori Manerba, Riccardo Guidotti
2025	—	`conf`	Bridging the Gap in Hybrid Decision-Making Systems. HHAI Roberto Pellungrini, Federico Mazzoni, Riccardo Guidotti
2025	—	`conf`	Causal Synthetic Data Generation in Recruitment. AEQUITAS@ECAI Andrea Iommi, Antonio Mastropietro, Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri
2025	J	`jnl`	Causal Synthetic Data Generation in Recruitment. CoRR Andrea Iommi, Antonio Mastropietro, Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri
2025	J	`jnl`	Corrections to "A Bias Injection Technique to Assess the Resilience of Causal Discovery Methods". IEEE Access Martina Cinquini, Karima Makhlouf, Jay Jawale, Sami Zhioua, Catuscia Palamidessi, Riccardo Guidotti
2025	B	`conf`	Counterfactual Explanations for Ranking in Algorithmic Hiring. IEEE Big Data Antonio Mastropietro, Riccardo Guidotti, Andrea Iommi, Anna Monreale, Salvatore Ruggieri
2025	—	`ed.`	Discovery Science - 27th International Conference, DS 2024, Pisa, Italy, October 14-16, 2024, Proceedings, Part I DS (1) Dino Pedreschi, Anna Monreale, Riccardo Guidotti, Roberto Pellungrini, Francesca Naretto
2025	—	`ed.`	Discovery Science - 27th International Conference, DS 2024, Pisa, Italy, October 14-16, 2024, Proceedings, Part II DS (2) Dino Pedreschi, Anna Monreale, Riccardo Guidotti, Roberto Pellungrini, Francesca Naretto
2025	J	`jnl`	Evaluating Moderation in Online Social Network. CoRR Letizia Milli, Laura Pollacci, Riccardo Guidotti
2025	J	`jnl`	Evaluating Online Moderation Via LLM-Powered Counterfactual Simulations. CoRR Giacomo Fidone, Lucia C. Passaro, Riccardo Guidotti
2025	B	`conf`	Explaining Relation Networks for Few-Shot Learning. IEEE Big Data Andrea Fedele, Beatrice Ferrigno, Riccardo Guidotti
2025	J	`jnl`	Explanations Go Linear: Interpretable and Individual Latent Encoding for Post-hoc Explainability. CoRR Simone Piaggesi, Riccardo Guidotti, Fosca Giannotti, Dino Pedreschi
2025	A*	`conf`	Explanations Go Linear: Post-Hoc Explainability for Tabular Data with Interpretable Meta-Encoding. ICDM Simone Piaggesi, Riccardo Guidotti, Fosca Giannotti, Dino Pedreschi
2025	J	`jnl`	Fair Clustering with Clusterlets. CoRR Mattia Setzu, Riccardo Guidotti
2025	A	`conf`	Group Explainability Through Local Approximation. ECAI Mattia Setzu, Riccardo Guidotti, Dino Pedreschi, Fosca Giannotti
2025	J	`jnl`	Improving trust and confidence in medical skin lesion diagnosis through explainable deep learning. Int. J. Data Sci. Anal. Carlo Metta, Andrea Beretta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo, Fosca Giannotti
2025	—	`conf`	Interpretable Instance-Based Learning Through Pairwise Distance Trees. ECML/PKDD (4) Andrea Fedele, Alessio Cascione, Riccardo Guidotti, Cristiano Landi
2025	J	`jnl`	Interpretable Machine Learning for Oral Lesion Diagnosis through Prototypical Instances Identification. CoRR Alessio Cascione, Mattia Setzu, Federico A. Galatolo, Mario G. C. A. Cimino, Riccardo Guidotti
2025	B	`conf`	Interpretable and Accurate Hybrid Decision Trees with Selective Case-Based Splits. IEEE Big Data Cristiano Landi, Alessio Cascione, Riccardo Guidotti
2025	—	`conf`	MASCOTS: Model-Agnostic Symbolic COunterfactual Explanations for Time Series. ECML/PKDD (4) Dawid Pludowski, Francesco Spinnato, Piotr Wilczynski, Krzysztof Kotowski, Evridiki Vasileia Ntagiou, Riccardo Guidotti, Przemyslaw Biecek
2025	J	`jnl`	MASCOTS: Model-Agnostic Symbolic COunterfactual explanations for Time Series. CoRR Dawid Pludowski, Francesco Spinnato, Piotr Wilczynski, Krzysztof Kotowski, Evridiki Vasileia Ntagiou, Riccardo Guidotti, Przemyslaw Biecek
2025	J	`jnl`	Region-aware Minimal Counterfactual Rules for Model-agnostic Explainable Classification. Mach. Learn. Guido Gagliardi, Antonio Luca Alfeo, Riccardo Guidotti, Mario G. C. A. Cimino
2025	J	`jnl`	SafeGen: safeguarding privacy and fairness through a genetic method. Mach. Learn. Martina Cinquini, Marta Marchiori Manerba, Federico Mazzoni, Francesca Pratesi, Riccardo Guidotti
2025	J	`jnl`	Shape-based methods in mobility data analysis: effectiveness and limitations. GeoInformatica Cristiano Landi, Riccardo Guidotti
2025	J	`jnl`	Towards the Formalization of a Trustworthy AI for Mining Interpretable Models explOiting Sophisticated Algorithms. CoRR Riccardo Guidotti, Martina Cinquini, Marta Marchiori Manerba, Mattia Setzu, Francesco Spinnato
2025	—	`conf`	Unsupervised and Interpretable Detection of User Personalities in Online Social Networks. xAI (3) Alessio Cascione, Laura Pollacci, Riccardo Guidotti
2024	—	`conf`	A Frank System for Co-Evolutionary Hybrid Decision-Making. IDA (2) Federico Mazzoni, Riccardo Guidotti, Alessio Malizia
2024	—	`conf`	A Shape-Based Map Matching Approach for Geographic Transferability of Discriminative Subtrajectories. EDBT/ICDT Workshops Cristiano Landi, Riccardo Guidotti
2024	J	`jnl`	Bridging the Gap in Hybrid Decision-Making Systems. CoRR Federico Mazzoni, Roberto Pellungrini, Riccardo Guidotti
2024	—	`conf`	Causality-Aware Local Interpretable Model-Agnostic Explanations. xAI (3) Martina Cinquini, Riccardo Guidotti
2024	J	`jnl`	Counterfactual and Prototypical Explanations for Tabular Data via Interpretable Latent Space. IEEE Access Simone Piaggesi, Francesco Bodria, Riccardo Guidotti, Fosca Giannotti, Dino Pedreschi
2024	J	`jnl`	Counterfactual explanations and how to find them: literature review and benchmarking. Data Min. Knowl. Discov. Riccardo Guidotti
2024	—	`conf`	Data-Agnostic Pivotal Instances Selection for Decision-Making Models. ECML/PKDD (1) Alessio Cascione, Mattia Setzu, Riccardo Guidotti
2024	J	`jnl`	Drifting explanations in continual learning. Neurocomputing Andrea Cossu, Francesco Spinnato, Riccardo Guidotti, Davide Bacciu
2024	—	`conf`	EMERGE - Emergent Awareness from Minimal Collectives. ERF (1) Davide Bacciu, Vincenzo Ambriola, Bahador Bahrami, Andrea Ceni, Andrea Cossu, Valerio De Caro, Cosimo Della Santina, Ophelia Deroy, Claudio Gallicchio, Riccardo Guidotti, Sabine Hauert, Simon Jones, Jurgis Karpus, Suet Lee, Jingyue Liu, Vincenzo Lomonaco, Nadine Meertens, Emma Milner, Anna Monreale, Renan Picoreti Nakahara, Mariano Ramírez Montero, Ebrahim Shahabi, Maximilian Stölzle
2024	B	`conf`	Enhancing Echo State Networks with Gradient-based Explainability Methods. ESANN Francesco Spinnato, Andrea Cossu, Riccardo Guidotti, Andrea Ceni, Claudio Gallicchio, Davide Bacciu
2024	J	`jnl`	Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions. Inf. Fusion Luca Longo, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lécué, Gianclaudio Malgieri, Andrés Páez, Wojciech Samek, Johannes Schneider, Timo Speith, Simone Stumpf
2024	J	`jnl`	Explaining Siamese networks in few-shot learning. Mach. Learn. Andrea Fedele, Riccardo Guidotti, Dino Pedreschi
2024	—	`conf`	FLocalX - Local to Global Fuzzy Explanations for Black Box Classifiers. IDA (2) Guillermo Fernández, Riccardo Guidotti, Fosca Giannotti, Mattia Setzu, Juan A. Aledo, José A. Gámez, José M. Puerta
2024	J	`jnl`	Fast, Interpretable, and Deterministic Time Series Classification With a Bag-of-Receptive-Fields. IEEE Access Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni
2024	A*	`conf`	Generative Model for Decision Trees. AAAI Riccardo Guidotti, Anna Monreale, Mattia Setzu, Giulia Volpi
2024	—	`conf`	Interpretable Machine Learning for Oral Lesion Diagnosis Through Prototypical Instances Identification. DS (2) Alessio Cascione, Mattia Setzu, Federico A. Galatolo, Mario G. C. A. Cimino, Riccardo Guidotti
2024	—	`conf`	Multivariate Asynchronous Shapelets for Imbalanced Car Crash Predictions. DS (1) Mario Bianchi, Francesco Spinnato, Riccardo Guidotti, Daniele Maccagnola, Antonio Bencini Farina
2024	J	`jnl`	Quantum clustering with k-Means: A hybrid approach. Theor. Comput. Sci. Alessandro Poggiali, Alessandro Berti, Anna Bernasconi, Gianna M. Del Corso, Riccardo Guidotti
2024	J	`jnl`	Quantum subroutine for variance estimation: algorithmic design and applications. Quantum Mach. Intell. Anna Bernasconi, Alessandro Berti, Gianna M. Del Corso, Riccardo Guidotti, Alessandro Poggiali
2024	—	`conf`	Requirements of eXplainable AI in Algorithmic Hiring. AIMMES Andrea Beretta, Gianmario Ercoli, Alfonso Ferraro, Riccardo Guidotti, Andrea Iommi, Antonio Mastropietro, Anna Monreale, Daniela Rotelli, Salvatore Ruggieri
2024	A*	`conf`	Social Bias Probing: Fairness Benchmarking for Language Models. EMNLP Marta Marchiori Manerba, Karolina Stanczak, Riccardo Guidotti, Isabelle Augenstein
2024	J	`jnl`	Solving imbalanced learning with outlier detection and features reduction. Mach. Learn. Salvatore Lusito, Andrea Pugnana, Riccardo Guidotti
2024	J	`jnl`	Stable and actionable explanations of black-box models through factual and counterfactual rules. Data Min. Knowl. Discov. Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Francesca Naretto, Franco Turini, Dino Pedreschi, Fosca Giannotti
2024	J	`jnl`	The role of encodings and distance metrics for the quantum nearest neighbor. Quantum Mach. Intell. Alessandro Berti, Anna Bernasconi, Gianna M. Del Corso, Riccardo Guidotti
2024	—	`conf`	This Sounds Like That: Explainable Audio Classification via Prototypical Parts. DS (2) Andrea Fedele, Riccardo Guidotti, Dino Pedreschi
2024	—	`conf`	Treemob: Expressive Mobility Data Representation Through Tree-Based Structures. INTSYS Marta Fioravanti, Eleonora Cappuccio, Salvatore Rinzivillo, Riccardo Guidotti
2024	J	`jnl`	Understanding Any Time Series Classifier with a Subsequence-based Explainer. ACM Trans. Knowl. Discov. Data Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni, Dino Pedreschi, Fosca Giannotti
2024	Misc	`conf`	Variational Compression of Circuits for State Preparation. QCE Alessandro Berti, Giacomo Antonioli, Anna Bernasconi, Gianna M. Del Corso, Riccardo Guidotti, Alessandro Poggiali
2023	J	`jnl`	A Bag of Receptive Fields for Time Series Extrinsic Predictions. CoRR Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni
2023	B	`conf`	A Protocol for Continual Explanation of SHAP. ESANN Andrea Cossu, Francesco Spinnato, Riccardo Guidotti, Davide Bacciu
2023	J	`jnl`	A Protocol for Continual Explanation of SHAP. CoRR Andrea Cossu, Francesco Spinnato, Riccardo Guidotti, Davide Bacciu
2023	J	`jnl`	An Explanation that LASTS: Understanding Any Time Series Classifier. ERCIM News Francesco Spinnato, Riccardo Guidotti, Anna Monreale
2023	B	`conf`	Applied Data Science for Leasing Score Prediction. IEEE Big Data Giuseppe Cianci, Roberto Goglia, Riccardo Guidotti, Matteo Kapllaj, Roberto Mosca, Andrea Pugnana, Franco Ricotti, Salvatore Ruggieri
2023	J	`jnl`	Benchmarking and survey of explanation methods for black box models. Data Min. Knowl. Discov. Francesco Bodria, Fosca Giannotti, Riccardo Guidotti, Francesca Naretto, Dino Pedreschi, Salvatore Rinzivillo
2023	J	`jnl`	Boosting Synthetic Data Generation with Effective Nonlinear Causal Discovery. CoRR Martina Cinquini, Fosca Giannotti, Riccardo Guidotti
2023	J	`jnl`	Ensemble of Counterfactual Explainers. CoRR Riccardo Guidotti, Salvatore Ruggieri
2023	J	`jnl`	Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling. CoRR Carlo Metta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo
2023	J	`jnl`	Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions. CoRR Luca Longo, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lécué, Gianclaudio Malgieri, Andrés Páez, Wojciech Samek, Johannes Schneider, Timo Speith, Simone Stumpf
2023	J	`jnl`	Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence. Inf. Fusion Sajid Ali, Tamer AbuHmed, Shaker H. Ali El-Sappagh, Khan Muhammad, Jose Maria Alonso-Moral, Roberto Confalonieri, Riccardo Guidotti, Javier Del Ser, Natalia Díaz Rodríguez, Francisco Herrera
2023	—	`conf`	Explaining Black-Boxes in Federated Learning. xAI (2) Luca Corbucci, Riccardo Guidotti, Anna Monreale
2023	J	`jnl`	Explaining short text classification with diverse synthetic exemplars and counter-exemplars. Mach. Learn. Orestis Lampridis, Laura State, Riccardo Guidotti, Salvatore Ruggieri
2023	B	`conf`	GenFair: A Genetic Fairness-Enhancing Data Generation Framework. DS Federico Mazzoni, Marta Marchiori Manerba, Martina Cinquini, Riccardo Guidotti, Salvatore Ruggieri
2023	B	`conf`	Geolet: An Interpretable Model for Trajectory Classification. IDA Cristiano Landi, Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni
2023	—	`conf`	Handling Missing Values in Local Post-hoc Explainability. xAI (2) Martina Cinquini, Fosca Giannotti, Riccardo Guidotti, Andrea Mattei
2023	B	`conf`	Interpretable Data Partitioning Through Tree-Based Clustering Methods. DS Riccardo Guidotti, Cristiano Landi, Andrea Beretta, Daniele Fadda, Mirco Nanni
2023	—	`ed.`	Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I PKDD/ECML Workshops (1) Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami
2023	—	`ed.`	Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II PKDD/ECML Workshops (2) Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami
2023	—	`ed.`	Proceedings of the 4th Italian Workshop on Explainable Artificial Intelligence co-located with 22nd International Conference of the Italian Association for Artificial Intelligence(AIxIA 2023), Roma, Italy, November 8, 2023. XAI.it@AI*IA Cataldo Musto, Riccardo Guidotti, Anna Monreale, Erasmo Purificato, Giovanni Semeraro
2023	B	`conf`	Quantum Feature Selection with Variance Estimation. ESANN Alessandro Poggiali, Anna Bernasconi, Alessandro Berti, Gianna M. Del Corso, Riccardo Guidotti
2023	J	`jnl`	Social Bias Probing: Fairness Benchmarking for Language Models. CoRR Marta Marchiori Manerba, Karolina Stanczak, Riccardo Guidotti, Isabelle Augenstein
2023	B	`conf`	Text to Time Series Representations: Towards Interpretable Predictive Models. DS Mattia Poggioli, Francesco Spinnato, Riccardo Guidotti
2023	—	`conf`	The Trajectory Interval Forest Classifier for Trajectory Classification. SIGSPATIAL/GIS Cristiano Landi, Riccardo Guidotti, Mirco Nanni, Anna Monreale
2023	—	`conf`	Trustworthy AI at KDD Lab. Ital-IA Fosca Giannotti, Riccardo Guidotti, Anna Monreale, Luca Pappalardo, Dino Pedreschi, Roberto Pellungrini, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Mattia Setzu, Rosaria Deluca
2022	—	`conf`	A Modularized Framework for Explaining Black Box Classifiers for Text Data. Canadian AI Mahtab Sarvmaili, Riccardo Guidotti, Anna Monreale, Amílcar Soares, Zahra Sadeghi, Fosca Giannotti, Dino Pedreschi, Stan Matwin
2022	—	`conf`	Bias Discovery within Human Raters: A Case Study of the Jigsaw Dataset. NLPerspectives@LREC Marta Marchiori Manerba, Riccardo Guidotti, Lucia C. Passaro, Salvatore Ruggieri
2022	J	`jnl`	CALIME: Causality-Aware Local Interpretable Model-Agnostic Explanations. CoRR Martina Cinquini, Riccardo Guidotti
2022	J	`jnl`	City indicators for geographical transfer learning: an application to crash prediction. GeoInformatica Mirco Nanni, Riccardo Guidotti, Agnese Bonavita, Omid Isfahani Alamdari
2022	—	`conf`	Clustering Classical Data with Quantum k-Means. ICTCS Alessandro Poggiali, Alessandro Berti, Anna Bernasconi, Gianna Maria Del Corso, Riccardo Guidotti
2022	—	`conf`	Effect of Different Encodings and Distance Functions on Quantum Instance-Based Classifiers. PAKDD (2) Alessandro Berti, Anna Bernasconi, Gianna M. Del Corso, Riccardo Guidotti
2022	—	`conf`	Exemplars and Counterexemplars Explanations for Skin Lesion Classifiers. HHAI Carlo Metta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo
2022	J	`jnl`	Explainable AI for Time Series Classification: A Review, Taxonomy and Research Directions. IEEE Access Andreas Theissler, Francesco Spinnato, Udo Schlegel, Riccardo Guidotti
2022	—	`conf`	Explaining Black Box with Visual Exploration of Latent Space. EuroVis (Short Papers) Francesco Bodria, Salvatore Rinzivillo, Daniele Fadda, Riccardo Guidotti, Fosca Giannotti, Dino Pedreschi
2022	B	`conf`	Explaining Crash Predictions on Multivariate Time Series Data. DS Francesco Spinnato, Riccardo Guidotti, Mirco Nanni, Daniele Maccagnola, Giulia Paciello, Antonio Bencini Farina
2022	B	`conf`	Explaining Siamese Networks in Few-Shot Learning for Audio Data. DS Andrea Fedele, Riccardo Guidotti, Dino Pedreschi
2022	J	`jnl`	Exploiting auto-encoders for explaining black-box classifiers. Intelligenza Artificiale Riccardo Guidotti
2022	J	`jnl`	Individual and collective stop-based adaptive trajectory segmentation. GeoInformatica Agnese Bonavita, Riccardo Guidotti, Mirco Nanni
2022	B	`conf`	Interpretable Latent Space to Enable Counterfactual Explanations. DS Francesco Bodria, Riccardo Guidotti, Fosca Giannotti, Dino Pedreschi
2022	C	`conf`	Investigating Debiasing Effects on Classification and Explainability. AIES Marta Marchiori Manerba, Riccardo Guidotti
2022	—	`ed.`	Proceedings of the 3rd Italian Workshop on Explainable Artificial Intelligence co-located with 21th International Conference of the Italian Association for Artificial Intelligence(AIxIA 2022), Udine, Italy, November 28 - December 3, 2022. XAI.it@AI*IA Cataldo Musto, Riccardo Guidotti, Anna Monreale, Giovanni Semeraro
2022	J	`jnl`	Quantum Clustering with k-Means: a Hybrid Approach. CoRR Alessandro Poggiali, Alessandro Berti, Anna Bernasconi, Gianna M. Del Corso, Riccardo Guidotti
2022	B	`conf`	Transparent Latent Space Counterfactual Explanations for Tabular Data. DSAA Francesco Bodria, Riccardo Guidotti, Fosca Giannotti, Dino Pedreschi
2022	B	`conf`	Uncovering Student Temporal Learning Patterns. EC-TEL Daniela Rotelli, Anna Monreale, Riccardo Guidotti
2021	J	`jnl`	(So) Big Data and the transformation of the city. Int. J. Data Sci. Anal. 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
2021	—	`conf`	A modularized framework for explaining hierarchical attention networks on text classifiers. Canadian AI Mahtab Sarvmaili, Amílcar Soares, Riccardo Guidotti, Anna Monreale, Fosca Giannotti, Dino Pedreschi, Stan Matwin
2021	J	`jnl`	Benchmarking and Survey of Explanation Methods for Black Box Models. CoRR Francesco Bodria, Fosca Giannotti, Riccardo Guidotti, Francesca Naretto, Dino Pedreschi, Salvatore Rinzivillo
2021	—	`conf`	Boosting Synthetic Data Generation with Effective Nonlinear Causal Discovery. CogMI Martina Cinquini, Fosca Giannotti, Riccardo Guidotti
2021	—	`conf`	City Indicators for Mobility Data Mining. EDBT/ICDT Workshops Mirco Nanni, Agnese Bonavita, Riccardo Guidotti
2021	J	`jnl`	Correction to: Human migration: the big data perspective. Int. J. Data Sci. Anal. 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
2021	B	`conf`	Deriving a Single Interpretable Model by Merging Tree-Based Classifiers. DS Valerio Bonsignori, Riccardo Guidotti, Anna Monreale
2021	C	`conf`	Designing Shapelets for Interpretable Data-Agnostic Classification. AIES Riccardo Guidotti, Anna Monreale
2021	B	`conf`	Ensemble of Counterfactual Explainers. DS Riccardo Guidotti, Salvatore Ruggieri
2021	J	`jnl`	Evaluating local explanation methods on ground truth. Artif. Intell. Riccardo Guidotti
2021	C	`conf`	Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling. ISCC Carlo Metta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo
2021	J	`jnl`	Explainable Deep Image Classifiers for Skin Lesion Diagnosis. CoRR Carlo Metta, Andrea Beretta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo, Fosca Giannotti
2021	—	`conf`	FairShades: Fairness Auditing via Explainability in Abusive Language Detection Systems. CogMI Marta Marchiori Manerba, Riccardo Guidotti
2021	J	`jnl`	GLocalX - From Local to Global Explanations of Black Box AI Models. Artif. Intell. Mattia Setzu, Riccardo Guidotti, Anna Monreale, Franco Turini, Dino Pedreschi, Fosca Giannotti
2021	J	`jnl`	GLocalX - From Local to Global Explanations of Black Box AI Models. CoRR Mattia Setzu, Riccardo Guidotti, Anna Monreale, Franco Turini, Dino Pedreschi, Fosca Giannotti
2021	J	`jnl`	Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Ethics Inf. Technol. 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
2021	J	`jnl`	Human migration: the big data perspective. Int. J. Data Sci. Anal. 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
2021	—	`ed.`	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 PKDD/ECML Workshops (1) 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 Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2021	—	`ed.`	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 PKDD/ECML Workshops (2) 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 Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2021	J	`jnl`	Matrix Profile-Based Interpretable Time Series Classifier. Frontiers Artif. Intell. Riccardo Guidotti, Matteo D'Onofrio
2020	J	`jnl`	Black Box Explanation by Learning Image Exemplars in the Latent Feature Space. CoRR Riccardo Guidotti, Anna Monreale, Stan Matwin, Dino Pedreschi
2020	B	`conf`	Crash Prediction and Risk Assessment with Individual Mobility Networks. MDM Riccardo Guidotti, Mirco Nanni
2020	A*	`conf`	Data-Agnostic Local Neighborhood Generation. ICDM Riccardo Guidotti, Anna Monreale
2020	—	`conf`	Data-Driven Location Annotation for Fleet Mobility Modeling. EDBT/ICDT Workshops Riccardo Guidotti, Mirco Nanni, Francesca Sbolgi
2020	—	`ed.`	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 PKDD/ECML Workshops 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
2020	—	`conf`	Explaining Any Time Series Classifier. CogMI Riccardo Guidotti, Anna Monreale, Francesco Spinnato, Dino Pedreschi, Fosca Giannotti
2020	—	`conf`	Explaining Explanation Methods. BIRDS@SIGIR Riccardo Guidotti
2020	A*	`conf`	Explaining Image Classifiers Generating Exemplars and Counter-Exemplars from Latent Representations. AAAI Riccardo Guidotti, Anna Monreale, Stan Matwin, Dino Pedreschi
2020	—	`ch.`	Explaining Multi-label Black-Box Classifiers for Health Applications. Precision Health and Medicine Cecilia Panigutti, Riccardo Guidotti, Anna Monreale, Dino Pedreschi
2020	B	`conf`	Explaining Sentiment Classification with Synthetic Exemplars and Counter-Exemplars. DS Orestis Lampridis, Riccardo Guidotti, Salvatore Ruggieri
2020	—	`ed.`	Formal Methods. FM 2019 International Workshops - Porto, Portugal, October 7-11, 2019, Revised Selected Papers, Part I FM Workshops (1) Emil Sekerinski, Nelma Moreira, José N. Oliveira, Daniel Ratiu, Riccardo Guidotti, Marie Farrell, Matt Luckcuck, Diego Marmsoler, José Creissac Campos, Troy Astarte, Laure Gonnord, Antonio Cerone, Luis Couto, Brijesh Dongol, Martin Kutrib, Pedro Monteiro, David Delmas
2020	—	`ed.`	Formal Methods. FM 2019 International Workshops - Porto, Portugal, October 7-11, 2019, Revised Selected Papers, Part II FM Workshops (2) Emil Sekerinski, Nelma Moreira, José N. Oliveira, Daniel Ratiu, Riccardo Guidotti, Marie Farrell, Matt Luckcuck, Diego Marmsoler, José Creissac Campos, Troy Astarte, Laure Gonnord, Antonio Cerone, Luis Couto, Brijesh Dongol, Martin Kutrib, Pedro Monteiro, David Delmas
2020	J	`jnl`	Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. CoRR 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
2020	J	`jnl`	Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Trans. Data Priv. 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
2020	—	`conf`	Interpretable Next Basket Prediction Boosted with Representative Recipes. CogMI Riccardo Guidotti, Stefano Viotto
2020	—	`conf`	Measuring Immigrants Adoption of Natives Shopping Consumption with Machine Learning. ECML/PKDD (5) Riccardo Guidotti, Mirco Nanni, Fosca Giannotti, Dino Pedreschi, Simone Bertoli, Biagio Speciale, Hillel Rapoport
2020	—	`conf`	Self-Adapting Trajectory Segmentation. EDBT/ICDT Workshops Agnese Bonavita, Riccardo Guidotti, Mirco Nanni
2019	—	`conf`	"Know Thyself" How Personal Music Tastes Shape the Last.Fm Online Social Network. FM Workshops (1) Riccardo Guidotti, Giulio Rossetti
2019	J	`jnl`	A Survey of Methods for Explaining Black Box Models. ACM Comput. Surv. Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Franco Turini, Fosca Giannotti, Dino Pedreschi
2019	—	`conf`	Black Box Explanation by Learning Image Exemplars in the Latent Feature Space. ECML/PKDD (1) Riccardo Guidotti, Anna Monreale, Stan Matwin, Dino Pedreschi
2019	—	`ed.`	ECML PKDD 2018 Workshops - MIDAS 2018 and PAP 2018, Dublin, Ireland, September 10-14, 2018, Proceedings MIDAS/PAP@PKDD/ECML 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
2019	J	`jnl`	Factual and Counterfactual Explanations for Black Box Decision Making. IEEE Intell. Syst. Riccardo Guidotti, Anna Monreale, Fosca Giannotti, Dino Pedreschi, Salvatore Ruggieri, Franco Turini
2019	—	`conf`	Global Explanations with Local Scoring. PKDD/ECML Workshops (1) Mattia Setzu, Riccardo Guidotti, Anna Monreale, Franco Turini
2019	—	`conf`	Investigating Neighborhood Generation Methods for Explanations of Obscure Image Classifiers. PAKDD (1) Riccardo Guidotti, Anna Monreale, Leonardo Cariaggi
2019	A*	`conf`	Meaningful Explanations of Black Box AI Decision Systems. AAAI Dino Pedreschi, Fosca Giannotti, Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Franco Turini
2019	B	`conf`	On The Stability of Interpretable Models. IJCNN Riccardo Guidotti, Salvatore Ruggieri
2019	J	`jnl`	Personalized Market Basket Prediction with Temporal Annotated Recurring Sequences. IEEE Trans. Knowl. Data Eng. Riccardo Guidotti, Giulio Rossetti, Luca Pappalardo, Fosca Giannotti, Dino Pedreschi
2019	J	`jnl`	The AI Black Box Explanation Problem. ERCIM News Riccardo Guidotti, Anna Monreale, Dino Pedreschi
2019	J	`jnl`	The italian music superdiversity - Geography, emotion and language: one resource to find them, one resource to rule them all. Multim. Tools Appl. Laura Pollacci, Riccardo Guidotti, Giulio Rossetti, Fosca Giannotti, Dino Pedreschi
2018	J	`jnl`	A Survey Of Methods For Explaining Black Box Models. CoRR Riccardo Guidotti, Anna Monreale, Franco Turini, Dino Pedreschi, Fosca Giannotti
2018	J	`jnl`	Assessing the Stability of Interpretable Models. CoRR Riccardo Guidotti, Salvatore Ruggieri
2018	J	`jnl`	Discovering temporal regularities in retail customers' shopping behavior. EPJ Data Sci. Riccardo Guidotti, Lorenzo Gabrielli, Anna Monreale, Dino Pedreschi, Fosca Giannotti
2018	—	`conf`	Explaining Successful Docker Images Using Pattern Mining Analysis. STAF Workshops Riccardo Guidotti, Jacopo Soldani, Davide Neri, Antonio Brogi
2018	—	`conf`	Exploring Students Eating Habits Through Individual Profiling and Clustering Analysis. MIDAS/PAP@PKDD/ECML Michela Natilli, Anna Monreale, Riccardo Guidotti, Luca Pappalardo
2018	—	`conf`	Helping Your Docker Images to Spread Based on Explainable Models. ECML/PKDD (3) Riccardo Guidotti, Jacopo Soldani, Davide Neri, Antonio Brogi, Dino Pedreschi
2018	B	`conf`	Learning Data Mining. DSAA Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo
2018	J	`jnl`	Local Rule-Based Explanations of Black Box Decision Systems. CoRR Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Dino Pedreschi, Franco Turini, Fosca Giannotti
2018	J	`jnl`	Open the Black Box Data-Driven Explanation of Black Box Decision Systems. CoRR Dino Pedreschi, Fosca Giannotti, Riccardo Guidotti, Anna Monreale, Luca Pappalardo, Salvatore Ruggieri, Franco Turini
2018	—	`conf`	Privacy Risk for Individual Basket Patterns. MIDAS/PAP@PKDD/ECML Roberto Pellungrini, Anna Monreale, Riccardo Guidotti
2017	A*	`conf`	Clustering Individual Transactional Data for Masses of Users. KDD Riccardo Guidotti, Anna Monreale, Mirco Nanni, Fosca Giannotti, Dino Pedreschi
2017	A*	`conf`	Market Basket Prediction Using User-Centric Temporal Annotated Recurring Sequences. ICDM Riccardo Guidotti, Giulio Rossetti, Luca Pappalardo, Fosca Giannotti, Dino Pedreschi
2017	J	`jnl`	MyWay: Location prediction via mobility profiling. Inf. Syst. Roberto Trasarti, Riccardo Guidotti, Anna Monreale, Fosca Giannotti
2017	J	`jnl`	Never drive alone: Boosting carpooling with network analysis. Inf. Syst. Riccardo Guidotti, Mirco Nanni, Salvatore Rinzivillo, Dino Pedreschi, Fosca Giannotti
2017	J	`jnl`	Next Basket Prediction using Recurring Sequential Patterns. CoRR Riccardo Guidotti, Giulio Rossetti, Luca Pappalardo, Fosca Giannotti, Dino Pedreschi
2017	—	`conf`	On the Equivalence Between Community Discovery and Clustering. GOODTECHS Riccardo Guidotti, Michele Coscia
2017	—	`ed.`	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 PAP@PKDD/ECML Riccardo Guidotti, Anna Monreale, Dino Pedreschi, Serge Abiteboul
2017	—	`—`	Personal Data Analytics: Capturing Human Behavior to Improve Self-Awareness and Personal Services through Individual and Collective Knowledge. Riccardo Guidotti
2017	—	`conf`	Recognizing Residents and Tourists with Retail Data Using Shopping Profiles. GOODTECHS Riccardo Guidotti, Lorenzo Gabrielli
2017	—	`conf`	The Fractal Dimension of Music: Geography, Popularity and Sentiment Analysis. GOODTECHS Laura Pollacci, Riccardo Guidotti, Giulio Rossetti, Fosca Giannotti, Dino Pedreschi
2017	B	`conf`	There's a Path for Everyone: A Data-Driven Personal Model Reproducing Mobility Agendas. DSAA Riccardo Guidotti, Roberto Trasarti, Mirco Nanni, Fosca Giannotti, Dino Pedreschi
2016	J	`jnl`	A supervised approach for intra-/inter-community interaction prediction in dynamic social networks. Soc. Netw. Anal. Min. Giulio Rossetti, Riccardo Guidotti, Ioanna Miliou, Dino Pedreschi, Fosca Giannotti
2016	—	`conf`	Audio Ergo Sum - A Personal Data Model for Musical Preferences. STAF Workshops Riccardo Guidotti, Giulio Rossetti, Dino Pedreschi
2016	—	`conf`	Going Beyond GDP to Nowcast Well-Being Using Retail Market Data. NetSci-X Riccardo Guidotti, Michele Coscia, Dino Pedreschi, Diego Pennacchioli
2016	—	`ch.`	ICON Loop Carpooling Show Case. Data Mining and Constraint Programming Mirco Nanni, Lars Kotthoff, Riccardo Guidotti, Barry O'Sullivan, Dino Pedreschi
2016	J	`jnl`	Unveiling mobility complexity through complex network analysis. Soc. Netw. Anal. Min. Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Dino Pedreschi, Fosca Giannotti
2016	—	`conf`	Where Is My Next Friend? Recommending Enjoyable Profiles in Location Based Services. CompleNet Riccardo Guidotti, Michele Berlingerio
2015	B	`conf`	Behavioral entropy and profitability in retail. DSAA Riccardo Guidotti, Michele Coscia, Dino Pedreschi, Diego Pennacchioli
2015	A	`conf`	Find Your Way Back: Mobility Profile Mining with Constraints. CP Lars Kotthoff, Mirco Nanni, Riccardo Guidotti, Barry O'Sullivan
2015	B	`conf`	Interaction Prediction in Dynamic Networks exploiting Community Discovery. ASONAM Giulio Rossetti, Riccardo Guidotti, Diego Pennacchioli, Dino Pedreschi, Fosca Giannotti
2015	—	`conf`	Managing travels with PETRA: The Rome use case. ICDE Workshops Adi Botea, Stefano Braghin, Nuno Lopes, Riccardo Guidotti, Francesca Pratesi
2015	—	`conf`	Mobility Mining for Journey Planning in Rome. ECML/PKDD (3) Michele Berlingerio, Veli Bicer, Adi Botea, Stefano Braghin, Nuno Lopes, Riccardo Guidotti, Francesca Pratesi
2015	—	`conf`	Social or Green? A Data-Driven Approach for More Enjoyable Carpooling. ITSC Riccardo Guidotti, Andrea Sassi, Michele Berlingerio, Alessandra Pascale, Bissan Ghaddar
2015	—	`conf`	TOSCA: two-steps clustering algorithm for personal locations detection. SIGSPATIAL/GIS Riccardo Guidotti, Roberto Trasarti, Mirco Nanni
2015	—	`conf`	Towards a Boosted Route Planner Using Individual Mobility Models. SEFM Workshops Riccardo Guidotti, Paolo Cintia
2015	—	`conf`	Towards user-centric data management: individual mobility analytics for collective services. MobiGIS Riccardo Guidotti, Roberto Trasarti, Mirco Nanni, Fosca Giannotti
2014	—	`conf`	Retrieving Points of Interest from Human Systematic Movements. SEFM Workshops Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Dino Pedreschi, Fosca Giannotti