Ivan Donadello
Orcid: 0000-0002-0701-5729
According to our database1,
Ivan Donadello
authored at least 41 papers
between 2014 and 2025.
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Book In proceedings Article PhD thesis Dataset OtherLinks
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Bibliography
2025
2024
Guiding the generation of counterfactual explanations through temporal background knowledge for Predictive Process Monitoring.
CoRR, 2024
Video Analytics for Volleyball: Preliminary Results and Future Prospects of the 5VREAL Project.
Proceedings of the Ital-IA Intelligenza Artificiale, 2024
Compromises in Dialogical Argumentation: Aggregated Policies for Biparty Decision Theory.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
Making Sense of Temporal Event Data:A Framework for Comparing Techniques for the Discovery of Discriminative Temporal Patterns.
Proceedings of the Advanced Information Systems Engineering, 2024
Proceedings of the Business Process Management - 22nd International Conference, 2024
2023
Eng. Appl. Artif. Intell., November, 2023
Integrating Functional Status Information into Knowledge Graphs to Support Self-Health Management.
Data Intell., 2023
Knowledge-Driven Modulation of Neural Networks with Attention Mechanism for Next Activity Prediction.
CoRR, 2023
Declarative Process Mining for Software Processes: The RuM Toolkit and the Declare4Py Python Library.
Proceedings of the Product-Focused Software Process Improvement, 2023
Proceedings of the Doctoral Consortium and Demo Track 2023 at the International Conference on Process Mining 2023 co-located with the 5th International Conference on Process Mining (ICPM 2023), 2023
Proceedings of the Doctoral Consortium and Demo Track 2023 at the International Conference on Process Mining 2023 co-located with the 5th International Conference on Process Mining (ICPM 2023), 2023
2022
A Dataset for Utility Prediction in Computational Persuasion with Machine Learning Techniques.
Dataset, January, 2022
EXplainable Neural-Symbolic Learning (<i>X-NeSyL</i>) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case.
Inf. Fusion, 2022
IEEE Intell. Syst., 2022
Proceedings of the Workshop on Process Management in the AI Era (PMAI 2022) co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022
Proceedings of the Best Dissertation Award, 2022
Proceedings of the 1st AIxIA Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2022) co-located with the 21st International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022), 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Proceedings of the Neuro-Symbolic Artificial Intelligence: The State of the Art, 2021
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case.
CoRR, 2021
Proceedings of the Artificial Intelligence in Medicine, 2021
2020
Explainable AI meets persuasiveness: Translating reasoning results into behavioral change advice.
Artif. Intell. Medicine, 2020
Explaining reasoning algorithms with persuasiveness: a case study for a behavioural change system.
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020
Proceedings of the AIxIA 2020 - Advances in Artificial Intelligence, 2020
SeXAI: Introducing Concepts into Black Boxes for Explainable Artificial Intelligence.
Proceedings of the Italian Workshop on Explainable Artificial Intelligence co-located with 19th International Conference of the Italian Association for Artificial Intelligence, 2020
2019
Proceedings of the Joint Proceedings of the 6th International Workshop on Dataset PROFlLing and Search & the 1st Workshop on Semantic Explainability co-located with the 18th International Semantic Web Conference (ISWC 2019), 2019
Proceedings of the Semantic Web - ISWC 2019, 2019
Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image Interpretation.
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019
2018
Semantic Image Interpretation - Integration of Numerical Data and Logical Knowledge for Cognitive Vision.
PhD thesis, 2018
2017
Learning and reasoning in logic tensor networks: theory and application to semantic image interpretation.
Proceedings of the Symposium on Applied Computing, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
2016
Intelligenza Artificiale, 2016
2015
Proceedings of the Doctoral Consortium (DC) co-located with the 14th Conference of the Italian Association for Artificial Intelligence (AI*IA 2015), 2015
2014
Proceedings of the 3rd International Workshop on Intelligent Exploration of Semantic Data (IESD 2014) co-located with the 13th International Semantic Web Conference (ISWC 2014), 2014
On the Collaborative Development of Application Ontologies: A Practical Case Study with a SME.
Proceedings of the Knowledge Engineering and Knowledge Management, 2014
Mixing Low-Level and Semantic Features for Image Interpretation - A Framework and a Simple Case Study.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014