Riccardo Guidotti
Orcid: 0000-0002-2827-7613
According to our database1,
Riccardo Guidotti
authored at least 129 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
On csauthors.net:
Bibliography
2024
Quantum Mach. Intell., December, 2024
Quantum Mach. Intell., December, 2024
Stable and actionable explanations of black-box models through factual and counterfactual rules.
Data Min. Knowl. Discov., September, 2024
Counterfactual explanations and how to find them: literature review and benchmarking.
Data Min. Knowl. Discov., September, 2024
Mach. Learn., July, 2024
ACM Trans. Knowl. Discov. Data, February, 2024
Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions.
Inf. Fusion, 2024
Fast, Interpretable, and Deterministic Time Series Classification With a Bag-of-Receptive-Fields.
IEEE Access, 2024
Counterfactual and Prototypical Explanations for Tabular Data via Interpretable Latent Space.
IEEE Access, 2024
Proceedings of the Explainable Artificial Intelligence, 2024
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024
Proceedings of the Advances in Intelligent Data Analysis XXII, 2024
Proceedings of the Advances in Intelligent Data Analysis XXII, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
A Shape-Based Map Matching Approach for Geographic Transferability of Discriminative Subtrajectories.
Proceedings of the Workshops of the EDBT/ICDT 2024 Joint Conference co-located with the EDBT/ICDT 2024 Joint Conference, 2024
Proceedings of the 1st Workshop on AI bias: Measurements, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Explaining short text classification with diverse synthetic exemplars and counter-exemplars.
Mach. Learn., November, 2023
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence.
Inf. Fusion, November, 2023
Data Min. Knowl. Discov., September, 2023
ERCIM News, 2023
Proceedings of the Explainable Artificial Intelligence, 2023
Proceedings of the Explainable Artificial Intelligence, 2023
Proceedings of the Advances in Intelligent Data Analysis XXI, 2023
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023
Proceedings of the Discovery Science - 26th International Conference, 2023
Proceedings of the Discovery Science - 26th International Conference, 2023
Proceedings of the Discovery Science - 26th International Conference, 2023
Proceedings of the IEEE International Conference on Big Data, 2023
2022
Intelligenza Artificiale, 2022
City indicators for geographical transfer learning: an application to crash prediction.
GeoInformatica, 2022
GeoInformatica, 2022
Explainable AI for Time Series Classification: A Review, Taxonomy and Research Directions.
IEEE Access, 2022
Proceedings of the 24th Eurographics Conference on Visualization, 2022
Effect of Different Encodings and Distance Functions on Quantum Instance-Based Classifiers.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
Proceedings of the 1st Workshop on Perspectivist Approaches to NLPerspectives@LREC 2022, 2022
Proceedings of the 23rd Italian Conference on Theoretical Computer Science, 2022
Proceedings of the HHAI 2022: Augmenting Human Intellect, 2022
Proceedings of the Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption, 2022
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022
Proceedings of the Discovery Science - 25th International Conference, 2022
Proceedings of the Discovery Science - 25th International Conference, 2022
Proceedings of the Discovery Science - 25th International Conference, 2022
Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022
Proceedings of the 35th Canadian Conference on Artificial Intelligence, Toronto, Ontario, 2022
2021
Int. J. Data Sci. Anal., 2021
Frontiers Artif. Intell., 2021
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment.
Ethics Inf. Technol., 2021
Artif. Intell., 2021
Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling.
Proceedings of the IEEE Symposium on Computers and Communications, 2021
Proceedings of the Workshops of the EDBT/ICDT 2021 Joint Conference, 2021
Proceedings of the Discovery Science - 24th International Conference, 2021
Proceedings of the Discovery Science - 24th International Conference, 2021
FairShades: Fairness Auditing via Explainability in Abusive Language Detection Systems.
Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021
Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021
A modularized framework for explaining hierarchical attention networks on text classifiers.
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021
2020
Proceedings of the Precision Health and Medicine - A Digital Revolution in Healthcare, 2020
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment.
CoRR, 2020
Proceedings of the First Workshop on Bridging the Gap between Information Science, Information Retrieval and Data Science (BIRDS 2020) co-located with 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Xi'an, China (online only), July 30th,, 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020
Proceedings of the 21st IEEE International Conference on Mobile Data Management, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Proceedings of the Workshops of the EDBT/ICDT 2020 Joint Conference, 2020
Proceedings of the Workshops of the EDBT/ICDT 2020 Joint Conference, 2020
Proceedings of the Discovery Science - 23rd International Conference, 2020
Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020
Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020
Explaining Image Classifiers Generating Exemplars and Counter-Exemplars from Latent Representations.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
IEEE Trans. Knowl. Data Eng., 2019
The italian music superdiversity - Geography, emotion and language: one resource to find them, one resource to rule them all.
Multim. Tools Appl., 2019
IEEE Intell. Syst., 2019
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Investigating Neighborhood Generation Methods for Explanations of Obscure Image Classifiers.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the Formal Methods. FM 2019 International Workshops, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
EPJ Data Sci., 2018
Proceedings of the Software Technologies: Applications and Foundations, 2018
Proceedings of the ECML PKDD 2018 Workshops, 2018
Exploring Students Eating Habits Through Individual Profiling and Clustering Analysis.
Proceedings of the ECML PKDD 2018 Workshops, 2018
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018
2017
Personal Data Analytics: Capturing Human Behavior to Improve Self-Awareness and Personal Services through Individual and Collective Knowledge.
PhD thesis, 2017
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Proceedings of the Smart Objects and Technologies for Social Good, 2017
Proceedings of the Smart Objects and Technologies for Social Good, 2017
Proceedings of the Smart Objects and Technologies for Social Good, 2017
There's a Path for Everyone: A Data-Driven Personal Model Reproducing Mobility Agendas.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017
2016
Proceedings of the Data Mining and Constraint Programming, 2016
A supervised approach for intra-/inter-community interaction prediction in dynamic social networks.
Soc. Netw. Anal. Min., 2016
Soc. Netw. Anal. Min., 2016
Proceedings of the Software Technologies: Applications and Foundations, 2016
Proceedings of the Advances in Network Science, 2016
Proceedings of the Complex Networks VII, 2016
2015
Proceedings of the Software Engineering and Formal Methods, 2015
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015
Proceedings of the 31st IEEE International Conference on Data Engineering Workshops, 2015
Towards user-centric data management: individual mobility analytics for collective services.
Proceedings of the 4th ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems, 2015
Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015
Proceedings of the Principles and Practice of Constraint Programming, 2015
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015
2014
Proceedings of the Software Engineering and Formal Methods, 2014