Riccardo Guidotti

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 115

Top Venues

CoRR

CogMI

EDBT/ICDT Workshops

Publications

Alessandro Poggiali, Alessandro Berti, Anna Bernasconi, Gianna M. Del Corso, Riccardo Guidotti
Quantum clustering with k-Means: A hybrid approach. Theor. Comput. Sci. 992 (2024)
Salvatore Lusito, Andrea Pugnana, Riccardo Guidotti
Solving imbalanced learning with outlier detection and features reduction. Mach. Learn. 113 (8) (2024)
Guillermo Fernández, Riccardo Guidotti, Fosca Giannotti, Mattia Setzu, Juan A. Aledo, José A. Gámez, José Miguel Puerta
FLocalX - Local to Global Fuzzy Explanations for Black Box Classifiers. IDA (2) (2024)
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
Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions. Inf. Fusion 106 (2024)
Andrea Cossu, Francesco Spinnato, Riccardo Guidotti, Davide Bacciu
Drifting explanations in continual learning. Neurocomputing 597 (2024)
Cristiano Landi, Riccardo Guidotti
A Shape-Based Map Matching Approach for Geographic Transferability of Discriminative Subtrajectories. EDBT/ICDT Workshops (2024)
Riccardo Guidotti, Anna Monreale, Mattia Setzu, Giulia Volpi
Generative Model for Decision Trees. AAAI (2024)
Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni, Dino Pedreschi, Fosca Giannotti
Understanding Any Time Series Classifier with a Subsequence-based Explainer. ACM Trans. Knowl. Discov. Data 18 (2) (2024)
Federico Mazzoni, Riccardo Guidotti, Alessio Malizia
A Frank System for Co-Evolutionary Hybrid Decision-Making. IDA (2) (2024)
Giuseppe Cianci, Roberto Goglia, Riccardo Guidotti, Matteo Kapllaj, Roberto Mosca, Andrea Pugnana, Franco Ricotti, Salvatore Ruggieri
Applied Data Science for Leasing Score Prediction. BigData (2023)
Alessandro Poggiali, Anna Bernasconi, Alessandro Berti, Gianna M. Del Corso, Riccardo Guidotti
Quantum Feature Selection with Variance Estimation. ESANN (2023)
Federico Mazzoni, Marta Marchiori Manerba, Martina Cinquini, Riccardo Guidotti, Salvatore Ruggieri
GenFair: A Genetic Fairness-Enhancing Data Generation Framework. DS (2023)
Cristiano Landi, Riccardo Guidotti, Mirco Nanni, Anna Monreale
The Trajectory Interval Forest Classifier for Trajectory Classification. SIGSPATIAL/GIS (2023)
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) (2023)
Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni
A Bag of Receptive Fields for Time Series Extrinsic Predictions. CoRR (2023)
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
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions. CoRR (2023)
Riccardo Guidotti, Cristiano Landi, Andrea Beretta, Daniele Fadda, Mirco Nanni
Interpretable Data Partitioning Through Tree-Based Clustering Methods. DS (2023)
Riccardo Guidotti, Salvatore Ruggieri
Ensemble of Counterfactual Explainers. CoRR (2023)
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
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence. Inf. Fusion 99 (2023)
Andrea Cossu, Francesco Spinnato, Riccardo Guidotti, Davide Bacciu
A Protocol for Continual Explanation of SHAP. CoRR (2023)
Orestis Lampridis, Laura State, Riccardo Guidotti, Salvatore Ruggieri
Explaining short text classification with diverse synthetic exemplars and counter-exemplars. Mach. Learn. 112 (11) (2023)
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)
Mattia Poggioli, Francesco Spinnato, Riccardo Guidotti
Text to Time Series Representations: Towards Interpretable Predictive Models. DS (2023)
Martina Cinquini, Fosca Giannotti, Riccardo Guidotti
Boosting Synthetic Data Generation with Effective Nonlinear Causal Discovery. CoRR (2023)
Marta Marchiori Manerba, Karolina Stanczak, Riccardo Guidotti, Isabelle Augenstein
Social Bias Probing: Fairness Benchmarking for Language Models. CoRR (2023)
Cristiano Landi, Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni
Geolet: An Interpretable Model for Trajectory Classification. IDA (2023)
Carlo Metta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo
Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling. CoRR (2023)
Francesco Spinnato, Riccardo Guidotti, Anna Monreale
An Explanation that LASTS: Understanding Any Time Series Classifier. ERCIM News 2023 (134) (2023)
Andrea Cossu, Francesco Spinnato, Riccardo Guidotti, Davide Bacciu
A Protocol for Continual Explanation of SHAP. ESANN (2023)
Martina Cinquini, Fosca Giannotti, Riccardo Guidotti, Andrea Mattei
Handling Missing Values in Local Post-hoc Explainability. xAI (2) (2023)
Luca Corbucci, Riccardo Guidotti, Anna Monreale
Explaining Black-Boxes in Federated Learning. xAI (2) (2023)
Mirco Nanni, Riccardo Guidotti, Agnese Bonavita, Omid Isfahani Alamdari
City indicators for geographical transfer learning: an application to crash prediction. GeoInformatica 26 (4) (2022)
Riccardo Guidotti
Exploiting auto-encoders for explaining black-box classifiers. Intelligenza Artificiale 16 (1) (2022)
Francesco Bodria, Riccardo Guidotti, Fosca Giannotti, Dino Pedreschi
Interpretable Latent Space to Enable Counterfactual Explanations. DS (2022)
Alessandro Poggiali, Alessandro Berti, Anna Bernasconi, Gianna M. Del Corso, Riccardo Guidotti
Quantum Clustering with k-Means: a Hybrid Approach. CoRR (2022)
Martina Cinquini, Riccardo Guidotti
CALIME: Causality-Aware Local Interpretable Model-Agnostic Explanations. CoRR (2022)
Mahtab Sarvmaili, Riccardo Guidotti, Anna Monreale, Amílcar Soares, Zahra Sadeghi, Fosca Giannotti, Dino Pedreschi, Stan Matwin
A Modularized Framework for Explaining Black Box Classifiers for Text Data. AI (2022)
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)
Marta Marchiori Manerba, Riccardo Guidotti, Lucia C. Passaro, Salvatore Ruggieri
Bias Discovery within Human Raters: A Case Study of the Jigsaw Dataset. NLPerspectives@LREC (2022)
Andrea Fedele, Riccardo Guidotti, Dino Pedreschi
Explaining Siamese Networks in Few-Shot Learning for Audio Data. DS (2022)
Francesco Spinnato, Riccardo Guidotti, Mirco Nanni, Daniele Maccagnola, Giulia Paciello, Antonio Bencini Farina
Explaining Crash Predictions on Multivariate Time Series Data. DS (2022)
Francesco Bodria, Riccardo Guidotti, Fosca Giannotti, Dino Pedreschi
Transparent Latent Space Counterfactual Explanations for Tabular Data. DSAA (2022)
Marta Marchiori Manerba, Riccardo Guidotti
Investigating Debiasing Effects on Classification and Explainability. AIES (2022)
Alessandro Poggiali, Alessandro Berti, Anna Bernasconi, Gianna Maria Del Corso, Riccardo Guidotti
Clustering Classical Data with Quantum k-Means. ICTCS (2022)
Carlo Metta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo
Exemplars and Counterexemplars Explanations for Skin Lesion Classifiers. HHAI (2022)
Andreas Theissler, Francesco Spinnato, Udo Schlegel, Riccardo Guidotti
Explainable AI for Time Series Classification: A Review, Taxonomy and Research Directions. IEEE Access 10 (2022)
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)
Agnese Bonavita, Riccardo Guidotti, Mirco Nanni
Individual and collective stop-based adaptive trajectory segmentation. GeoInformatica 26 (3) (2022)
Daniela Rotelli, Anna Monreale, Riccardo Guidotti
Uncovering Student Temporal Learning Patterns. EC-TEL (2022)
Riccardo Guidotti
Evaluating local explanation methods on ground truth. Artif. Intell. 291 (2021)
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 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) (2021)
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) (2021)
Marta Marchiori Manerba, Riccardo Guidotti
FairShades: Fairness Auditing via Explainability in Abusive Language Detection Systems. CogMI (2021)
Francesco Bodria, Fosca Giannotti, Riccardo Guidotti, Francesca Naretto, Dino Pedreschi, Salvatore Rinzivillo
Benchmarking and Survey of Explanation Methods for Black Box Models. CoRR (2021)
Martina Cinquini, Fosca Giannotti, Riccardo Guidotti
Boosting Synthetic Data Generation with Effective Nonlinear Causal Discovery. CogMI (2021)
Riccardo Guidotti, Matteo D'Onofrio
Matrix Profile-Based Interpretable Time Series Classifier. Frontiers Artif. Intell. 4 (2021)
Valerio Bonsignori, Riccardo Guidotti, Anna Monreale
Deriving a Single Interpretable Model by Merging Tree-Based Classifiers. DS (2021)
Carlo Metta, Andrea Beretta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo, Fosca Giannotti
Explainable Deep Image Classifiers for Skin Lesion Diagnosis. CoRR (2021)
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) (2021)
Riccardo Guidotti, Anna Monreale
Designing Shapelets for Interpretable Data-Agnostic Classification. AIES (2021)
Riccardo Guidotti, Salvatore Ruggieri
Ensemble of Counterfactual Explainers. DS (2021)
Mattia Setzu, Riccardo Guidotti, Anna Monreale, Franco Turini, Dino Pedreschi, Fosca Giannotti
GLocalX - From Local to Global Explanations of Black Box AI Models. CoRR (2021)
Carlo Metta, Riccardo Guidotti, Yuan Yin, Patrick Gallinari, Salvatore Rinzivillo
Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling. ISCC (2021)
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)
Mirco Nanni, Agnese Bonavita, Riccardo Guidotti
City Indicators for Mobility Data Mining. EDBT/ICDT Workshops (2021)
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 (2021)
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) (2021)
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)
Riccardo Guidotti, Stefano Viotto
Interpretable Next Basket Prediction Boosted with Representative Recipes. CogMI (2020)
Riccardo Guidotti, Mirco Nanni, Francesca Sbolgi
Data-Driven Location Annotation for Fleet Mobility Modeling. EDBT/ICDT Workshops (2020)
Riccardo Guidotti, Anna Monreale, Stan Matwin, Dino Pedreschi
Black Box Explanation by Learning Image Exemplars in the Latent Feature Space. CoRR (2020)
Orestis Lampridis, Riccardo Guidotti, Salvatore Ruggieri
Explaining Sentiment Classification with Synthetic Exemplars and Counter-Exemplars. DS (2020)
Riccardo Guidotti, Anna Monreale
Data-Agnostic Local Neighborhood Generation. ICDM (2020)
Riccardo Guidotti, Anna Monreale, Francesco Spinnato, Dino Pedreschi, Fosca Giannotti
Explaining Any Time Series Classifier. CogMI (2020)
Riccardo Guidotti
Explaining Explanation Methods. BIRDS@SIGIR (2020)
Riccardo Guidotti, Anna Monreale, Stan Matwin, Dino Pedreschi
Explaining Image Classifiers Generating Exemplars and Counter-Exemplars from Latent Representations. AAAI (2020)
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 (2020)
Riccardo Guidotti, Mirco Nanni
Crash Prediction and Risk Assessment with Individual Mobility Networks. MDM (2020)
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) (2020)
Agnese Bonavita, Riccardo Guidotti, Mirco Nanni
Self-Adapting Trajectory Segmentation. EDBT/ICDT Workshops (2020)
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) (2019)
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) (2019)
Mattia Setzu, Riccardo Guidotti, Anna Monreale, Franco Turini
Global Explanations with Local Scoring. PKDD/ECML Workshops (1) (2019)
Riccardo Guidotti, Giulio Rossetti
"Know Thyself" How Personal Music Tastes Shape the Last.Fm Online Social Network. FM Workshops (1) (2019)
Riccardo Guidotti, Anna Monreale, Leonardo Cariaggi
Investigating Neighborhood Generation Methods for Explanations of Obscure Image Classifiers. PAKDD (1) (2019)
Dino Pedreschi, Fosca Giannotti, Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Franco Turini
Meaningful Explanations of Black Box AI Decision Systems. AAAI (2019)
Riccardo Guidotti, Salvatore Ruggieri
On The Stability of Interpretable Models. IJCNN (2019)
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) (2019)
Riccardo Guidotti, Anna Monreale, Dino Pedreschi
The AI Black Box Explanation Problem. ERCIM News 2019 (116) (2019)
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) (2019)
Riccardo Guidotti, Anna Monreale, Stan Matwin, Dino Pedreschi
Black Box Explanation by Learning Image Exemplars in the Latent Feature Space. ECML/PKDD (1) (2019)
Roberto Pellungrini, Anna Monreale, Riccardo Guidotti
Privacy Risk for Individual Basket Patterns. MIDAS/PAP@PKDD/ECML (2018)
Michela Natilli, Anna Monreale, Riccardo Guidotti, Luca Pappalardo
Exploring Students Eating Habits Through Individual Profiling and Clustering Analysis. MIDAS/PAP@PKDD/ECML (2018)
Riccardo Guidotti, Jacopo Soldani, Davide Neri, Antonio Brogi
Explaining Successful Docker Images Using Pattern Mining Analysis. STAF Workshops (2018)
Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Dino Pedreschi, Franco Turini, Fosca Giannotti
Local Rule-Based Explanations of Black Box Decision Systems. CoRR (2018)
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 (2018)
Riccardo Guidotti, Lorenzo Gabrielli, Anna Monreale, Dino Pedreschi, Fosca Giannotti
Discovering temporal regularities in retail customers' shopping behavior. EPJ Data Sci. 7 (1) (2018)
Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo
Learning Data Mining. DSAA (2018)
Riccardo Guidotti, Salvatore Ruggieri
Assessing the Stability of Interpretable Models. CoRR (2018)
Riccardo Guidotti, Jacopo Soldani, Davide Neri, Antonio Brogi, Dino Pedreschi
Helping Your Docker Images to Spread Based on Explainable Models. ECML/PKDD (3) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Riccardo Guidotti