Ivan Donadello

51 papers A* 2A 3B 3Misc 2Journal 23Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Flexible event log generation using answer set programming. Inf. Syst. Ivan Donadello, Fabrizio Maria Maggi, Fabio Patrizi, Sergio Tessaris, Matteo Zorzi
2026	J	`jnl`	Multimodal predictive process monitoring and its application to explainable clinical pathways. Inf. Syst. Vincenzo Pasquadibisceglie, Ivan Donadello, Annalisa Appice, Oswald Lanz, Fabrizio Maria Maggi, Giuseppe Fiameni, Donato Malerba
2025	J	`jnl`	A Practical Tutorial on Explainable AI Techniques. ACM Comput. Surv. Adrien Bennetot, Ivan Donadello, Ayoub El Qadi, Mauro Dragoni, Thomas Frossard, Benedikt Wagner, Anna Saranti, Silvia Tulli, Maria Trocan, Raja Chatila, Andreas Holzinger, Artur d'Avila Garcez, Natalia Díaz Rodríguez
2025	J	`jnl`	Business Process Deviance Mining with Sequential and Declarative Patterns. Bus. Inf. Syst. Eng. Chiara Di Francescomarino, Ivan Donadello, Chiara Ghidini, Fabrizio Maria Maggi, Joonas Puura
2025	J	`jnl`	Guiding the generation of counterfactual explanations through temporal background knowledge for predictive process monitoring. Data Min. Knowl. Discov. Andrei Buliga, Chiara Di Francescomarino, Chiara Ghidini, Ivan Donadello, Fabrizio Maria Maggi
2025	J	`jnl`	LTL-based conformance checking of fuzzy event logs. Process Sci. Ivan Donadello, Paolo Felli, Craig Innes, Fabrizio Maria Maggi, Marco Montali
2025	J	`jnl`	Neuro-Symbolic Predictive Process Monitoring. CoRR Axel Mezini, Elena Umili, Ivan Donadello, Fabrizio Maria Maggi, Matteo Mancanelli, Fabio Patrizi
2025	—	`ed.`	Proceedings of the AIxIA Doctoral Consortium 2024 co-located with the 23rd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2024), Bolzano, Italy, November 25-28, 2024. DC@AI*IA Davide Bacciu, Ivan Donadello
2024	A	`conf`	Compromises in Dialogical Argumentation: Aggregated Policies for Biparty Decision Theory. ECAI Ivan Donadello, Renan Lirio de Souza, Anthony Hunter, Mauro Dragoni
2024	A	`conf`	Conformance Checking of Fuzzy Logs Against Declarative Temporal Specifications. BPM Ivan Donadello, Paolo Felli, Craig Innes, Fabrizio Maria Maggi, Marco Montali
2024	J	`jnl`	Conformance Checking of Fuzzy Logs against Declarative Temporal Specifications. CoRR Ivan Donadello, Paolo Felli, Craig Innes, Fabrizio Maria Maggi, Marco Montali
2024	J	`jnl`	Guiding the generation of counterfactual explanations through temporal background knowledge for Predictive Process Monitoring. CoRR Andrei Buliga, Chiara Di Francescomarino, Chiara Ghidini, Ivan Donadello, Fabrizio Maria Maggi
2024	A	`conf`	Making Sense of Temporal Event Data:A Framework for Comparing Techniques for the Discovery of Discriminative Temporal Patterns. CAiSE Chiara Di Francescomarino, Ivan Donadello, Chiara Ghidini, Fabrizio Maria Maggi, Williams Rizzi, Sergio Tessaris
2024	—	`conf`	Video Analytics for Volleyball: Preliminary Results and Future Prospects of the 5VREAL Project. Ital-IA Andrea Rosani, Ivan Donadello, Michele Calvanese, Alessandro Torcinovich, Giuseppe Di Fatta, Marco Montali, Oswald Lanz
2023	—	`conf`	ASP-Based Log Generation with Purposes in Declare4Py. ICPM Doctoral Consortium / Demo Ivan Donadello, Fabrizio Maria Maggi, Francesco Riva, Manpreet Singh
2023	—	`conf`	Declarative Process Mining for Software Processes: The RuM Toolkit and the Declare4Py Python Library. PROFES (2) Anti Alman, Ivan Donadello, Fabrizio Maria Maggi, Marco Montali
2023	J	`jnl`	Integrating Functional Status Information into Knowledge Graphs to Support Self-Health Management. Data Intell. Mauro Dragoni, Tania Bailoni, Ivan Donadello, Jean-Claude Martin, Helena Lindgren
2023	J	`jnl`	Knowledge-Driven Modulation of Neural Networks with Attention Mechanism for Next Activity Prediction. CoRR Ivan Donadello, Jonghyeon Ko, Fabrizio Maria Maggi, Jan Mendling, Francesco Riva, Matthias Weidlich
2023	J	`jnl`	Outcome-Oriented Prescriptive Process Monitoring based on Temporal Logic Patterns. Eng. Appl. Artif. Intell. Ivan Donadello, Chiara Di Francescomarino, Fabrizio Maria Maggi, Francesco Ricci, Aladdin Shikhizada
2023	—	`conf`	Two Solutions for Checking LTLf Properties in Event Logs. ICPM Doctoral Consortium / Demo Tedi Ibershimi, Diellsimeone Xhemalaj, Anti Alman, Ivan Donadello, Fabrizio Maria Maggi
2022	J	`jnl`	AI-enabled persuasive personal health assistant. Soc. Netw. Anal. Min. Ivan Donadello, Mauro Dragoni
2022	—	`conf`	Declare4Py: A Python Library for Declarative Process Mining. BPM (PhD/Demos) Ivan Donadello, Francesco Riva, Fabrizio Maria Maggi, Aladdin Shikhizada
2022	J	`jnl`	EXplainable Neural-Symbolic Learning ( Inf. Fusion Natalia Díaz Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello, Siham Tabik, David Filliat, Policarpo Cruz, Rosana Montes, Francisco Herrera
2022	A*	`conf`	Machine Learning for Utility Prediction in Argument-Based Computational Persuasion. AAAI Ivan Donadello, Anthony Hunter, Stefano Teso, Mauro Dragoni
2022	—	`conf`	Making sense of temporal data: the DECLARE encoding. PMAI@IJCAI Chiara Di Francescomarino, Ivan Donadello, Chiara Ghidini, Fabrizio Maria Maggi, Williams Rizzi
2022	—	`conf`	Modeling a Functional Status Knowledge Graph For Personal Health. HC@AIxIA Tania Bailoni, Mauro Dragoni, Ivan Donadello
2022	J	`jnl`	OntoSenticNet 2: Enhancing Reasoning Within Sentiment Analysis. IEEE Intell. Syst. Mauro Dragoni, Ivan Donadello, Erik Cambria
2022	J	`jnl`	Outcome-Oriented Prescriptive Process Monitoring Based on Temporal Logic Patterns. CoRR Ivan Donadello, Chiara Di Francescomarino, Fabrizio Maria Maggi, Francesco Ricci, Aladdin Shikhizada
2021	J	`jnl`	A Practical Tutorial on Explainable AI Techniques. CoRR Adrien Bennetot, Ivan Donadello, Ayoub El Qadi, Mauro Dragoni, Thomas Frossard, Benedikt Wagner, Anna Saranti, Silvia Tulli, Maria Trocan, Raja Chatila, Andreas Holzinger, Artur S. d'Avila Garcez, Natalia Díaz Rodríguez
2021	J	`jnl`	EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case. CoRR Natalia Díaz Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello, Siham Tabik, David Filliat, Policarpo Cruz, Rosana Montes, Francisco Herrera
2021	B	`conf`	Explanations in Digital Health: The Case of Supporting People Lifestyles. AIME Milene Santos Teixeira, Ivan Donadello, Mauro Dragoni
2021	—	`ch.`	Logic Tensor Networks: Theory and Applications. Neuro-Symbolic Artificial Intelligence Luciano Serafini, Artur S. d'Avila Garcez, Samy Badreddine, Ivan Donadello, Michael Spranger, Federico Bianchi
2021	J	`jnl`	Machine Learning for Utility Prediction in Argument-Based Computational Persuasion. CoRR Ivan Donadello, Anthony Hunter, Stefano Teso, Mauro Dragoni
2020	J	`jnl`	Explainable AI meets persuasiveness: Translating reasoning results into behavioral change advice. Artif. Intell. Medicine Mauro Dragoni, Ivan Donadello, Claudio Eccher
2020	Misc	`conf`	Explaining reasoning algorithms with persuasiveness: a case study for a behavioural change system. SAC Ivan Donadello, Mauro Dragoni, Claudio Eccher
2020	—	`conf`	SeXAI: A Semantic Explainable Artificial Intelligence Framework. AI*IA Ivan Donadello, Mauro Dragoni
2020	—	`conf`	SeXAI: Introducing Concepts into Black Boxes for Explainable Artificial Intelligence. XAI.it@AI*IA Ivan Donadello, Mauro Dragoni
2019	—	`conf`	An End-to-End Semantic Platform for Nutritional Diseases Management. ISWC (2) Ivan Donadello, Mauro Dragoni
2019	B	`conf`	Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image Interpretation. IJCNN Ivan Donadello, Luciano Serafini
2019	J	`jnl`	Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image Interpretation. CoRR Ivan Donadello, Luciano Serafini
2019	—	`conf`	Ontology-Driven Food Category Classification in Images. ICIAP (2) Ivan Donadello, Mauro Dragoni
2019	—	`conf`	Persuasive Explanation of Reasoning Inferences on Dietary Data. PROFILES/SEMEX@ISWC Ivan Donadello, Mauro Dragoni, Claudio Eccher
2018	—	`—`	Semantic Image Interpretation - Integration of Numerical Data and Logical Knowledge for Cognitive Vision. Ivan Donadello
2017	Misc	`conf`	Learning and reasoning in logic tensor networks: theory and application to semantic image interpretation. SAC Luciano Serafini, Ivan Donadello, Artur S. d'Avila Garcez
2017	A*	`conf`	Logic Tensor Networks for Semantic Image Interpretation. IJCAI Ivan Donadello, Luciano Serafini, Artur S. d'Avila Garcez
2017	J	`jnl`	Logic Tensor Networks for Semantic Image Interpretation. CoRR Ivan Donadello, Luciano Serafini, Artur S. d'Avila Garcez
2016	J	`jnl`	Integration of numeric and symbolic information for semantic image interpretation. Intelligenza Artificiale Ivan Donadello, Luciano Serafini
2015	—	`conf`	Ontology Based Semantic Image Interpretation. DC@AI*IA Ivan Donadello
2014	—	`conf`	Exploring an Ontology via Text Similarity: An Experimental Study. IESD@ISWC Daniil Mirylenka, Marco Rospocher, Ivan Donadello, Elena Cardillo, Luciano Serafini
2014	—	`conf`	Mixing Low-Level and Semantic Features for Image Interpretation - A Framework and a Simple Case Study. ECCV Workshops (2) Ivan Donadello, Luciano Serafini
2014	B	`conf`	On the Collaborative Development of Application Ontologies: A Practical Case Study with a SME. EKAW Marco Rospocher, Elena Cardillo, Ivan Donadello, Luciano Serafini