Retrieving Points of Interest from Human Systematic Movements. - Riccardo Guidotti; Anna Monreale; Salvatore Rinzivillo; Dino Pedreschi; Fosca Giannotti (SEFM Workshops, 2014)

Interaction Prediction in Dynamic Networks exploiting Community Discovery. - Giulio Rossetti; Riccardo Guidotti; Diego Pennacchioli; Dino Pedreschi; Fosca Giannotti (ASONAM, 2015)

Find Your Way Back: Mobility Profile Mining with Constraints. - Lars Kotthoff; Mirco Nanni; Riccardo Guidotti; Barry O'Sullivan (CP, 2015)

Behavioral entropy and profitability in retail. - Riccardo Guidotti; Michele Coscia; Dino Pedreschi; Diego Pennacchioli (DSAA, 2015)

TOSCA: two-steps clustering algorithm for personal locations detection. - Riccardo Guidotti; Roberto Trasarti; Mirco Nanni (SIGSPATIAL/GIS, 2015)

Towards user-centric data management: individual mobility analytics for collective services. - Riccardo Guidotti; Roberto Trasarti; Mirco Nanni; Fosca Giannotti (MobiGIS, 2015)

Managing travels with PETRA: The Rome use case. - Adi Botea; Stefano Braghin; Nuno Lopes 002; Riccardo Guidotti; Francesca Pratesi (ICDE Workshops, 2015)

Social or Green? A Data-Driven Approach for More Enjoyable Carpooling. - Riccardo Guidotti; Andrea Sassi; Michele Berlingerio; Alessandra Pascale; Bissan Ghaddar (ITSC, 2015)

Mobility Mining for Journey Planning in Rome. - Michele Berlingerio; Veli Bicer; Adi Botea; Stefano Braghin; Nuno Lopes 002; Riccardo Guidotti; Francesca Pratesi (ECML/PKDD (3), 2015)

Towards a Boosted Route Planner Using Individual Mobility Models. - Riccardo Guidotti; Paolo Cintia (SEFM Workshops, 2015)

Where Is My Next Friend? Recommending Enjoyable Profiles in Location Based Services. - Riccardo Guidotti; Michele Berlingerio (CompleNet, 2016)

Going Beyond GDP to Nowcast Well-Being Using Retail Market Data. - Riccardo Guidotti; Michele Coscia; Dino Pedreschi; Diego Pennacchioli (NetSci-X, 2016)

Audio Ergo Sum - A Personal Data Model for Musical Preferences. - Riccardo Guidotti; Giulio Rossetti; Dino Pedreschi (STAF Workshops, 2016)

Unveiling mobility complexity through complex network analysis. - Riccardo Guidotti; Anna Monreale; Salvatore Rinzivillo; Dino Pedreschi; Fosca Giannotti (Soc. Netw. Anal. Min., 2016)

A supervised approach for intra-/inter-community interaction prediction in dynamic social networks. - Giulio Rossetti; Riccardo Guidotti; Ioanna Miliou; Dino Pedreschi; Fosca Giannotti (Soc. Netw. Anal. Min., 2016)

ICON Loop Carpooling Show Case. - Mirco Nanni; Lars Kotthoff; Riccardo Guidotti; Barry O'Sullivan; Dino Pedreschi (Data Mining and Constraint Programming, 2016)

There's a Path for Everyone: A Data-Driven Personal Model Reproducing Mobility Agendas. - Riccardo Guidotti; Roberto Trasarti; Mirco Nanni; Fosca Giannotti; Dino Pedreschi (DSAA, 2017)

On the Equivalence Between Community Discovery and Clustering. - Riccardo Guidotti; Michele Coscia (GOODTECHS, 2017)

Recognizing Residents and Tourists with Retail Data Using Shopping Profiles. - Riccardo Guidotti; Lorenzo Gabrielli (GOODTECHS, 2017)

The Fractal Dimension of Music: Geography, Popularity and Sentiment Analysis. - Laura Pollacci; Riccardo Guidotti; Giulio Rossetti; Fosca Giannotti; Dino Pedreschi (GOODTECHS, 2017)

Market Basket Prediction Using User-Centric Temporal Annotated Recurring Sequences. - Riccardo Guidotti; Giulio Rossetti; Luca Pappalardo; Fosca Giannotti; Dino Pedreschi (ICDM, 2017)

Clustering Individual Transactional Data for Masses of Users. - Riccardo Guidotti; Anna Monreale; Mirco Nanni; Fosca Giannotti; Dino Pedreschi (KDD, 2017)

Next Basket Prediction using Recurring Sequential Patterns. - Riccardo Guidotti; Giulio Rossetti; Luca Pappalardo; Fosca Giannotti; Dino Pedreschi (CoRR, 2017)

Never drive alone: Boosting carpooling with network analysis. - Riccardo Guidotti; Mirco Nanni; Salvatore Rinzivillo; Dino Pedreschi; Fosca Giannotti (Inf. Syst., 2017)

MyWay: Location prediction via mobility profiling. - Roberto Trasarti; Riccardo Guidotti; Anna Monreale; Fosca Giannotti (Inf. Syst., 2017)

Personal Data Analytics: Capturing Human Behavior to Improve Self-Awareness and Personal Services through Individual and Collective Knowledge. - Riccardo Guidotti (2017)

Learning Data Mining. - Riccardo Guidotti; Anna Monreale; Salvatore Rinzivillo (DSAA, 2018)

Helping Your Docker Images to Spread Based on Explainable Models. - Riccardo Guidotti; Jacopo Soldani; Davide Neri; Antonio Brogi; Dino Pedreschi (ECML/PKDD (3), 2018)

Exploring Students Eating Habits Through Individual Profiling and Clustering Analysis. - Michela Natilli; Anna Monreale; Riccardo Guidotti; Luca Pappalardo (MIDAS/PAP@PKDD/ECML, 2018)

Privacy Risk for Individual Basket Patterns. - Roberto Pellungrini; Anna Monreale; Riccardo Guidotti (MIDAS/PAP@PKDD/ECML, 2018)

Explaining Successful Docker Images Using Pattern Mining Analysis. - Riccardo Guidotti; Jacopo Soldani; Davide Neri; Antonio Brogi (STAF Workshops, 2018)

A Survey Of Methods For Explaining Black Box Models. - Riccardo Guidotti; Anna Monreale; Franco Turini; Dino Pedreschi; Fosca Giannotti (CoRR, 2018)

Local Rule-Based Explanations of Black Box Decision Systems. - Riccardo Guidotti; Anna Monreale; Salvatore Ruggieri; Dino Pedreschi; Franco Turini; Fosca Giannotti (CoRR, 2018)

Open the Black Box Data-Driven Explanation of Black Box Decision Systems. - Dino Pedreschi; Fosca Giannotti; Riccardo Guidotti; Anna Monreale; Luca Pappalardo; Salvatore Ruggieri; Franco Turini (CoRR, 2018)

Assessing the Stability of Interpretable Models. - Riccardo Guidotti; Salvatore Ruggieri (CoRR, 2018)

Discovering temporal regularities in retail customers' shopping behavior. - Riccardo Guidotti; Lorenzo Gabrielli; Anna Monreale; Dino Pedreschi; Fosca Giannotti (EPJ Data Sci., 2018)

Meaningful Explanations of Black Box AI Decision Systems. - Dino Pedreschi; Fosca Giannotti; Riccardo Guidotti; Anna Monreale; Salvatore Ruggieri; Franco Turini (AAAI, 2019)

"Know Thyself" How Personal Music Tastes Shape the Last.Fm Online Social Network. - Riccardo Guidotti; Giulio Rossetti (FM Workshops (1), 2019)

On The Stability of Interpretable Models. - Riccardo Guidotti; Salvatore Ruggieri (IJCNN, 2019)

Investigating Neighborhood Generation Methods for Explanations of Obscure Image Classifiers. - Riccardo Guidotti; Anna Monreale; Leonardo Cariaggi (PAKDD (1), 2019)

Black Box Explanation by Learning Image Exemplars in the Latent Feature Space. - Riccardo Guidotti; Anna Monreale; Stan Matwin; Dino Pedreschi (ECML/PKDD (1), 2019)

Global Explanations with Local Scoring. - Mattia Setzu; Riccardo Guidotti; Anna Monreale; Franco Turini (PKDD/ECML Workshops (1), 2019)

A Survey of Methods for Explaining Black Box Models. - Riccardo Guidotti; Anna Monreale; Salvatore Ruggieri; Franco Turini; Fosca Giannotti; Dino Pedreschi (ACM Comput. Surv., 2019)

The AI Black Box Explanation Problem. - Riccardo Guidotti; Anna Monreale; Dino Pedreschi (ERCIM News, 2019)

Factual and Counterfactual Explanations for Black Box Decision Making. - Riccardo Guidotti; Anna Monreale; Fosca Giannotti; Dino Pedreschi; Salvatore Ruggieri; Franco Turini (IEEE Intell. Syst., 2019)

The italian music superdiversity - Geography, emotion and language: one resource to find them, one resource to rule them all. - Laura Pollacci; Riccardo Guidotti; Giulio Rossetti; Fosca Giannotti; Dino Pedreschi (Multim. Tools Appl., 2019)

Personalized Market Basket Prediction with Temporal Annotated Recurring Sequences. - Riccardo Guidotti; Giulio Rossetti; Luca Pappalardo; Fosca Giannotti; Dino Pedreschi (IEEE Trans. Knowl. Data Eng., 2019)

Explaining Image Classifiers Generating Exemplars and Counter-Exemplars from Latent Representations. - Riccardo Guidotti; Anna Monreale; Stan Matwin; Dino Pedreschi (AAAI, 2020)

Explaining Any Time Series Classifier. - Riccardo Guidotti; Anna Monreale; Francesco Spinnato; Dino Pedreschi; Fosca Giannotti (CogMI, 2020)

Interpretable Next Basket Prediction Boosted with Representative Recipes. - Riccardo Guidotti; Stefano Viotto (CogMI, 2020)

Explaining Sentiment Classification with Synthetic Exemplars and Counter-Exemplars. - Orestis Lampridis; Riccardo Guidotti; Salvatore Ruggieri (DS, 2020)

Self-Adapting Trajectory Segmentation. - Agnese Bonavita; Riccardo Guidotti; Mirco Nanni (EDBT/ICDT Workshops, 2020)

Data-Driven Location Annotation for Fleet Mobility Modeling. - Riccardo Guidotti; Mirco Nanni; Francesca Sbolgi (EDBT/ICDT Workshops, 2020)

Data-Agnostic Local Neighborhood Generation. - Riccardo Guidotti; Anna Monreale (ICDM, 2020)

Crash Prediction and Risk Assessment with Individual Mobility Networks. - Riccardo Guidotti; Mirco Nanni (MDM, 2020)

Measuring Immigrants Adoption of Natives Shopping Consumption with Machine Learning. - Riccardo Guidotti; Mirco Nanni; Fosca Giannotti; Dino Pedreschi; Simone Bertoli; Biagio Speciale; Hillel Rapoport (ECML/PKDD (5), 2020)

Explaining Explanation Methods. - Riccardo Guidotti (BIRDS@SIGIR, 2020)

Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. - 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; et al. (CoRR, 2020)

Explaining Multi-label Black-Box Classifiers for Health Applications. - Cecilia Panigutti; Riccardo Guidotti; Anna Monreale; Dino Pedreschi (Precision Health and Medicine, 2020)

A modularized framework for explaining hierarchical attention networks on text classifiers. - Mahtab Sarvmaili; Amílcar Soares 001; Riccardo Guidotti; Anna Monreale; Fosca Giannotti; Dino Pedreschi; Stan Matwin (Canadian AI, 2021)

Designing Shapelets for Interpretable Data-Agnostic Classification. - Riccardo Guidotti; Anna Monreale (AIES, 2021)

Boosting Synthetic Data Generation with Effective Nonlinear Causal Discovery. - Martina Cinquini; Fosca Giannotti; Riccardo Guidotti (CogMI, 2021)

FairShades: Fairness Auditing via Explainability in Abusive Language Detection Systems. - Marta Marchiori Manerba; Riccardo Guidotti (CogMI, 2021)

Deriving a Single Interpretable Model by Merging Tree-Based Classifiers. - Valerio Bonsignori; Riccardo Guidotti; Anna Monreale (DS, 2021)

Ensemble of Counterfactual Explainers. - Riccardo Guidotti; Salvatore Ruggieri (DS, 2021)

City Indicators for Mobility Data Mining. - Mirco Nanni; Agnese Bonavita; Riccardo Guidotti (EDBT/ICDT Workshops, 2021)

Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling. - Carlo Metta; Riccardo Guidotti; Yuan Yin; Patrick Gallinari; Salvatore Rinzivillo (ISCC, 2021)

Evaluating local explanation methods on ground truth. - Riccardo Guidotti (Artif. Intell., 2021)

GLocalX - From Local to Global Explanations of Black Box AI Models. - Mattia Setzu; Riccardo Guidotti; Anna Monreale; Franco Turini; Dino Pedreschi; Fosca Giannotti (Artif. Intell., 2021)

Explainable Deep Image Classifiers for Skin Lesion Diagnosis. - Carlo Metta; Andrea Beretta; Riccardo Guidotti; Yuan Yin; Patrick Gallinari; Salvatore Rinzivillo; Fosca Giannotti (CoRR, 2021)

Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. - 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; et al. (Ethics Inf. Technol., 2021)

Matrix Profile-Based Interpretable Time Series Classifier. - Riccardo Guidotti; Matteo D'Onofrio (Frontiers Artif. Intell., 2021)

(So) Big Data and the transformation of the city. - 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; et al. (Int. J. Data Sci. Anal., 2021)

Human migration: the big data perspective. - 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; et al. (Int. J. Data Sci. Anal., 2021)

Correction to: Human migration: the big data perspective. - 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; et al. (Int. J. Data Sci. Anal., 2021)

A Modularized Framework for Explaining Black Box Classifiers for Text Data. - Mahtab Sarvmaili; Riccardo Guidotti; Anna Monreale; Amílcar Soares 001; Zahra Sadeghi; Fosca Giannotti; Dino Pedreschi; Stan Matwin (Canadian AI, 2022)

Investigating Debiasing Effects on Classification and Explainability. - Marta Marchiori Manerba; Riccardo Guidotti (AIES, 2022)

Interpretable Latent Space to Enable Counterfactual Explanations. - Francesco Bodria; Riccardo Guidotti; Fosca Giannotti; Dino Pedreschi (DS, 2022)

Explaining Siamese Networks in Few-Shot Learning for Audio Data. - Andrea Fedele; Riccardo Guidotti; Dino Pedreschi (DS, 2022)

Explaining Crash Predictions on Multivariate Time Series Data. - Francesco Spinnato; Riccardo Guidotti; Mirco Nanni; Daniele Maccagnola; Giulia Paciello; Antonio Bencini Farina (DS, 2022)

Transparent Latent Space Counterfactual Explanations for Tabular Data. - Francesco Bodria; Riccardo Guidotti; Fosca Giannotti; Dino Pedreschi (DSAA, 2022)

Uncovering Student Temporal Learning Patterns. - Daniela Rotelli; Anna Monreale; Riccardo Guidotti (EC-TEL, 2022)

Exemplars and Counterexemplars Explanations for Skin Lesion Classifiers. - Carlo Metta; Riccardo Guidotti; Yuan Yin; Patrick Gallinari; Salvatore Rinzivillo (HHAI, 2022)

Clustering Classical Data with Quantum k-Means. - Alessandro Poggiali; Alessandro Berti 002; Anna Bernasconi 001; Gianna Maria Del Corso; Riccardo Guidotti (ICTCS, 2022)

Bias Discovery within Human Raters: A Case Study of the Jigsaw Dataset. - Marta Marchiori Manerba; Riccardo Guidotti; Lucia C. Passaro; Salvatore Ruggieri (NLPerspectives@LREC, 2022)

Effect of Different Encodings and Distance Functions on Quantum Instance-Based Classifiers. - Alessandro Berti 002; Anna Bernasconi 001; Gianna M. Del Corso; Riccardo Guidotti (PAKDD (2), 2022)

Explaining Black Box with Visual Exploration of Latent Space. - Francesco Bodria; Salvatore Rinzivillo; Daniele Fadda; Riccardo Guidotti; Fosca Giannotti; Dino Pedreschi (EuroVis (Short Papers), 2022)

Explainable AI for Time Series Classification: A Review, Taxonomy and Research Directions. - Andreas Theissler; Francesco Spinnato; Udo Schlegel; Riccardo Guidotti (IEEE Access, 2022)

CALIME: Causality-Aware Local Interpretable Model-Agnostic Explanations. - Martina Cinquini; Riccardo Guidotti (CoRR, 2022)

Individual and collective stop-based adaptive trajectory segmentation. - Agnese Bonavita; Riccardo Guidotti; Mirco Nanni (GeoInformatica, 2022)

City indicators for geographical transfer learning: an application to crash prediction. - Mirco Nanni; Riccardo Guidotti; Agnese Bonavita; Omid Isfahani Alamdari (GeoInformatica, 2022)

Exploiting auto-encoders for explaining black-box classifiers. - Riccardo Guidotti (Intelligenza Artificiale, 2022)

Applied Data Science for Leasing Score Prediction. - Giuseppe Cianci; Roberto Goglia; Riccardo Guidotti; Matteo Kapllaj; Roberto Mosca 004; Andrea Pugnana; Franco Ricotti; Salvatore Ruggieri (IEEE Big Data, 2023)

Interpretable Data Partitioning Through Tree-Based Clustering Methods. - Riccardo Guidotti; Cristiano Landi; Andrea Beretta; Daniele Fadda; Mirco Nanni (DS, 2023)

GenFair: A Genetic Fairness-Enhancing Data Generation Framework. - Federico Mazzoni; Marta Marchiori Manerba; Martina Cinquini; Riccardo Guidotti; Salvatore Ruggieri (DS, 2023)

Text to Time Series Representations: Towards Interpretable Predictive Models. - Mattia Poggioli; Francesco Spinnato; Riccardo Guidotti (DS, 2023)

A Protocol for Continual Explanation of SHAP. - Andrea Cossu; Francesco Spinnato; Riccardo Guidotti; Davide Bacciu (ESANN, 2023)

Quantum Feature Selection with Variance Estimation. - Alessandro Poggiali; Anna Bernasconi 001; Alessandro Berti 002; Gianna M. Del Corso; Riccardo Guidotti (ESANN, 2023)

The Trajectory Interval Forest Classifier for Trajectory Classification. - Cristiano Landi; Riccardo Guidotti; Mirco Nanni; Anna Monreale (SIGSPATIAL/GIS, 2023)

Geolet: An Interpretable Model for Trajectory Classification. - Cristiano Landi; Francesco Spinnato; Riccardo Guidotti; Anna Monreale; Mirco Nanni (IDA, 2023)

Trustworthy AI at KDD Lab. - Fosca Giannotti; Riccardo Guidotti; Anna Monreale; Luca Pappalardo; Dino Pedreschi; Roberto Pellungrini; Francesca Pratesi; Salvatore Rinzivillo; Salvatore Ruggieri; Mattia Setzu; Rosaria Deluca (Ital-IA, 2023)

Handling Missing Values in Local Post-hoc Explainability. - Martina Cinquini; Fosca Giannotti; Riccardo Guidotti; Andrea Mattei (xAI (2), 2023)

Explaining Black-Boxes in Federated Learning. - Luca Corbucci; Riccardo Guidotti; Anna Monreale (xAI (2), 2023)

A Bag of Receptive Fields for Time Series Extrinsic Predictions. - Francesco Spinnato; Riccardo Guidotti; Anna Monreale; Mirco Nanni (CoRR, 2023)

An Explanation that LASTS: Understanding Any Time Series Classifier. - Francesco Spinnato; Riccardo Guidotti; Anna Monreale (ERCIM News, 2023)

Benchmarking and survey of explanation methods for black box models. - Francesco Bodria; Fosca Giannotti; Riccardo Guidotti; Francesca Naretto; Dino Pedreschi; Salvatore Rinzivillo (Data Min. Knowl. Discov., 2023)

Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence. - Sajid Ali 006; Tamer Abuhmed; Shaker H. Ali El-Sappagh; Khan Muhammad 001; Jose Maria Alonso-Moral; Roberto Confalonieri 001; Riccardo Guidotti; Javier Del Ser; Natalia Díaz Rodríguez; Francisco Herrera (Inf. Fusion, 2023)

Explaining short text classification with diverse synthetic exemplars and counter-exemplars. - Orestis Lampridis; Laura State; Riccardo Guidotti; Salvatore Ruggieri (Mach. Learn., 2023)

Generative Model for Decision Trees. - Riccardo Guidotti; Anna Monreale; Mattia Setzu; Giulia Volpi (AAAI, 2024)

Requirements of eXplainable AI in Algorithmic Hiring. - Andrea Beretta; Gianmario Ercoli; Alfonso Ferraro; Riccardo Guidotti; Andrea Iommi; Antonio Mastropietro; Anna Monreale; Daniela Rotelli; Salvatore Ruggieri (AIMMES, 2024)

Multivariate Asynchronous Shapelets for Imbalanced Car Crash Predictions. - Mario Bianchi; Francesco Spinnato; Riccardo Guidotti; Daniele Maccagnola; Antonio Bencini Farina (DS (1), 2024)

Interpretable Machine Learning for Oral Lesion Diagnosis Through Prototypical Instances Identification. - Alessio Cascione; Mattia Setzu; Federico A. Galatolo; Mario G. C. A. Cimino; Riccardo Guidotti (DS (2), 2024)

This Sounds Like That: Explainable Audio Classification via Prototypical Parts. - Andrea Fedele; Riccardo Guidotti; Dino Pedreschi (DS (2), 2024)

A Shape-Based Map Matching Approach for Geographic Transferability of Discriminative Subtrajectories. - Cristiano Landi; Riccardo Guidotti (EDBT/ICDT Workshops, 2024)

Social Bias Probing: Fairness Benchmarking for Language Models. - Marta Marchiori Manerba; Karolina Stanczak; Riccardo Guidotti; Isabelle Augenstein (EMNLP, 2024)

EMERGE - Emergent Awareness from Minimal Collectives. - 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; et al. (ERF (1), 2024)

Enhancing Echo State Networks with Gradient-based Explainability Methods. - Francesco Spinnato; Andrea Cossu; Riccardo Guidotti; Andrea Ceni; Claudio Gallicchio; Davide Bacciu (ESANN, 2024)

FLocalX - Local to Global Fuzzy Explanations for Black Box Classifiers. - Guillermo Fernández 005; Riccardo Guidotti; Fosca Giannotti; Mattia Setzu; Juan A. Aledo; José A. Gámez 001; José M. Puerta (IDA (2), 2024)

A Frank System for Co-Evolutionary Hybrid Decision-Making. - Federico Mazzoni; Riccardo Guidotti; Alessio Malizia (IDA (2), 2024)

Treemob: Expressive Mobility Data Representation Through Tree-Based Structures. - Marta Fioravanti; Eleonora Cappuccio; Salvatore Rinzivillo; Riccardo Guidotti (INTSYS, 2024)

Data-Agnostic Pivotal Instances Selection for Decision-Making Models. - Alessio Cascione; Mattia Setzu; Riccardo Guidotti (ECML/PKDD (1), 2024)

Variational Compression of Circuits for State Preparation. - Alessandro Berti 002; Giacomo Antonioli; Anna Bernasconi 001; Gianna M. Del Corso; Riccardo Guidotti; Alessandro Poggiali (QCE, 2024)

Causality-Aware Local Interpretable Model-Agnostic Explanations. - Martina Cinquini; Riccardo Guidotti (xAI (3), 2024)

Counterfactual and Prototypical Explanations for Tabular Data via Interpretable Latent Space. - Simone Piaggesi; Francesco Bodria; Riccardo Guidotti; Fosca Giannotti; Dino Pedreschi (IEEE Access, 2024)

Fast, Interpretable, and Deterministic Time Series Classification With a Bag-of-Receptive-Fields. - Francesco Spinnato; Riccardo Guidotti; Anna Monreale; Mirco Nanni (IEEE Access, 2024)

Bridging the Gap in Hybrid Decision-Making Systems. - Federico Mazzoni; Roberto Pellungrini; Riccardo Guidotti (CoRR, 2024)

Drifting explanations in continual learning. - Andrea Cossu; Francesco Spinnato; Riccardo Guidotti; Davide Bacciu (Neurocomputing, 2024)

Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions. - Luca Longo; Mario Brcic; Federico Cabitza; Jaesik Choi; Roberto Confalonieri 001; Javier Del Ser; Riccardo Guidotti; Yoichi Hayashi; Francisco Herrera; Andreas Holzinger; Richard Jiang 001; Hassan Khosravi; et al. (Inf. Fusion, 2024)

Quantum clustering with k-Means: A hybrid approach. - Alessandro Poggiali; Alessandro Berti 002; Anna Bernasconi 001; Gianna M. Del Corso; Riccardo Guidotti (Theor. Comput. Sci., 2024)

Understanding Any Time Series Classifier with a Subsequence-based Explainer. - Francesco Spinnato; Riccardo Guidotti; Anna Monreale; Mirco Nanni; Dino Pedreschi; Fosca Giannotti (ACM Trans. Knowl. Discov. Data, 2024)

Solving imbalanced learning with outlier detection and features reduction. - Salvatore Lusito; Andrea Pugnana; Riccardo Guidotti (Mach. Learn., 2024)

Counterfactual explanations and how to find them: literature review and benchmarking. - Riccardo Guidotti (Data Min. Knowl. Discov., 2024)

Stable and actionable explanations of black-box models through factual and counterfactual rules. - Riccardo Guidotti; Anna Monreale; Salvatore Ruggieri; Francesca Naretto; Franco Turini; Dino Pedreschi; Fosca Giannotti (Data Min. Knowl. Discov., 2024)

Explaining Siamese networks in few-shot learning. - Andrea Fedele; Riccardo Guidotti; Dino Pedreschi (Mach. Learn., 2024)

Quantum subroutine for variance estimation: algorithmic design and applications. - Anna Bernasconi 001; Alessandro Berti 002; Gianna M. Del Corso; Riccardo Guidotti; Alessandro Poggiali (Quantum Mach. Intell., 2024)

The role of encodings and distance metrics for the quantum nearest neighbor. - Alessandro Berti 002; Anna Bernasconi 001; Gianna M. Del Corso; Riccardo Guidotti (Quantum Mach. Intell., 2024)

A Bias Injection Technique to Assess the Resilience of Causal Discovery Methods. - Martina Cinquini; Karima Makhlouf; Sami Zhioua; Catuscia Palamidessi; Riccardo Guidotti (IEEE Access, 2025)

MASCOTS: Model-Agnostic Symbolic COunterfactual explanations for Time Series. - Dawid Pludowski; Francesco Spinnato; Piotr Wilczynski; Krzysztof Kotowski; Evridiki Vasileia Ntagiou; Riccardo Guidotti; Przemyslaw Biecek (CoRR, 2025)

Explanations Go Linear: Interpretable and Individual Latent Encoding for Post-hoc Explainability. - Simone Piaggesi; Riccardo Guidotti; Fosca Giannotti; Dino Pedreschi (CoRR, 2025)

Fair Clustering with Clusterlets. - Mattia Setzu; Riccardo Guidotti (CoRR, 2025)

Improving trust and confidence in medical skin lesion diagnosis through explainable deep learning. - Carlo Metta; Andrea Beretta; Riccardo Guidotti; Yuan Yin; Patrick Gallinari; Salvatore Rinzivillo; Fosca Giannotti (Int. J. Data Sci. Anal., 2025)

An Interpretable Data-Driven Unsupervised Approach for the Prevention of Forgotten Items. - Luca Corbucci; Javier Alejandro Borges Legrottaglie; Francesco Spinnato; Anna Monreale; Riccardo Guidotti (CoRR, 2025)