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ORCIDIvan Donadello
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2020 – today
- 2025
[j8]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:
A Practical Tutorial on Explainable AI Techniques. ACM Comput. Surv. 57(2): 50:1-50:44 (2025)- 2024
- [c25]Ivan Donadello
, Paolo Felli, Craig Innes, Fabrizio Maria Maggi, Marco Montali:
Conformance Checking of Fuzzy Logs Against Declarative Temporal Specifications. BPM 2024: 39-56 - [c24]Chiara Di Francescomarino, Ivan Donadello, Chiara Ghidini, Fabrizio Maria Maggi, Williams Rizzi, Sergio Tessaris:
Making Sense of Temporal Event Data:A Framework for Comparing Techniques for the Discovery of Discriminative Temporal Patterns. CAiSE 2024: 423-439 - [c23]Ivan Donadello, Renan Lirio de Souza, Anthony Hunter, Mauro Dragoni:
Compromises in Dialogical Argumentation: Aggregated Policies for Biparty Decision Theory. ECAI 2024: 3437-3444 - [c22]Andrea Rosani, Ivan Donadello, Michele Calvanese, Alessandro Torcinovich, Giuseppe Di Fatta, Marco Montali, Oswald Lanz:
Video Analytics for Volleyball: Preliminary Results and Future Prospects of the 5VREAL Project. Ital-IA 2024: 271-276 - [i9]Andrei Buliga, Chiara Di Francescomarino, Chiara Ghidini, Ivan Donadello, Fabrizio Maria Maggi:
Guiding the generation of counterfactual explanations through temporal background knowledge for Predictive Process Monitoring. CoRR abs/2403.11642 (2024) - [i8]Ivan Donadello, Paolo Felli, Craig Innes, Fabrizio Maria Maggi, Marco Montali:
Conformance Checking of Fuzzy Logs against Declarative Temporal Specifications. CoRR abs/2406.12078 (2024) - 2023
- [j7]Mauro Dragoni, Tania Bailoni, Ivan Donadello, Jean-Claude Martin, Helena Lindgren:
Integrating Functional Status Information into Knowledge Graphs to Support Self-Health Management. Data Intell. 5(3): 636-662 (2023) - [j6]Ivan Donadello, Chiara Di Francescomarino, Fabrizio Maria Maggi, Francesco Ricci, Aladdin Shikhizada:
Outcome-Oriented Prescriptive Process Monitoring based on Temporal Logic Patterns. Eng. Appl. Artif. Intell. 126: 106899 (2023) - [c21]Ivan Donadello, Fabrizio Maria Maggi, Francesco Riva, Manpreet Singh:
ASP-Based Log Generation with Purposes in Declare4Py. ICPM Doctoral Consortium / Demo 2023 - [c20]Tedi Ibershimi, Diellsimeone Xhemalaj, Anti Alman, Ivan Donadello, Fabrizio Maria Maggi:
Two Solutions for Checking LTLf Properties in Event Logs. ICPM Doctoral Consortium / Demo 2023 - [c19]Anti Alman, Ivan Donadello, Fabrizio Maria Maggi, Marco Montali:
Declarative Process Mining for Software Processes: The RuM Toolkit and the Declare4Py Python Library. PROFES (2) 2023: 13-19 - [i7]Ivan Donadello, Jonghyeon Ko, Fabrizio Maria Maggi, Jan Mendling, Francesco Riva, Matthias Weidlich:
Knowledge-Driven Modulation of Neural Networks with Attention Mechanism for Next Activity Prediction. CoRR abs/2312.08847 (2023) - 2022
- [j5]Mauro Dragoni, Ivan Donadello, Erik Cambria:
OntoSenticNet 2: Enhancing Reasoning Within Sentiment Analysis. IEEE Intell. Syst. 37(2): 103-110 (2022) - [j4]Natalia Díaz Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello, Siham Tabik, David Filliat, Policarpo Cruz, Rosana Montes, Francisco Herrera:
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case. Inf. Fusion 79: 58-83 (2022) - [j3]Ivan Donadello, Mauro Dragoni:
AI-enabled persuasive personal health assistant. Soc. Netw. Anal. Min. 12(1): 106 (2022) - [c18]Ivan Donadello, Anthony Hunter, Stefano Teso, Mauro Dragoni:
Machine Learning for Utility Prediction in Argument-Based Computational Persuasion. AAAI 2022: 5592-5599 - [c17]Tania Bailoni, Mauro Dragoni, Ivan Donadello:
Modeling a Functional Status Knowledge Graph For Personal Health. HC@AIxIA 2022: 31-46 - [c16]Ivan Donadello, Francesco Riva, Fabrizio Maria Maggi, Aladdin Shikhizada:
Declare4Py: A Python Library for Declarative Process Mining. BPM (PhD/Demos) 2022: 117-121 - [c15]Chiara Di Francescomarino, Ivan Donadello, Chiara Ghidini, Fabrizio Maria Maggi, Williams Rizzi:
Making sense of temporal data: the DECLARE encoding. PMAI@IJCAI 2022: 77-80 - [d3]Ivan Donadello, Mauro Dragoni:
The Food and Food Categories (FFoCat) Dataset. Zenodo, 2022
- [d2]Ivan Donadello, Anthony Hunter, Stefano Teso, Mauro Dragoni:
A Dataset for Utility Prediction in Computational Persuasion with Machine Learning Techniques. Zenodo, 2022 - [d1]Ivan Donadello, Luciano Serafini:
The Semantic PASCAL-Part Dataset. Zenodo, 2022 - [i6]Ivan Donadello, Chiara Di Francescomarino, Fabrizio Maria Maggi, Francesco Ricci, Aladdin Shikhizada:
Outcome-Oriented Prescriptive Process Monitoring Based on Temporal Logic Patterns. CoRR abs/2211.04880 (2022) - 2021
- [c14]Milene Santos Teixeira, Ivan Donadello, Mauro Dragoni:
Explanations in Digital Health: The Case of Supporting People Lifestyles. AIME 2021: 287-292 - [p1]Luciano Serafini, Artur S. d'Avila Garcez, Samy Badreddine, Ivan Donadello, Michael Spranger, Federico Bianchi:
Logic Tensor Networks: Theory and Applications. Neuro-Symbolic Artificial Intelligence 2021: 370-394 - [i5]Natalia Díaz Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello, Siham Tabik, David Filliat, Policarpo Cruz, Rosana Montes, Francisco Herrera:
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case. CoRR abs/2104.11914 (2021) - [i4]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:
A Practical Tutorial on Explainable AI Techniques. CoRR abs/2111.14260 (2021) - [i3]Ivan Donadello, Anthony Hunter, Stefano Teso, Mauro Dragoni:
Machine Learning for Utility Prediction in Argument-Based Computational Persuasion. CoRR abs/2112.04953 (2021) - 2020
- [j2]Mauro Dragoni, Ivan Donadello, Claudio Eccher:
Explainable AI meets persuasiveness: Translating reasoning results into behavioral change advice. Artif. Intell. Medicine 105: 101840 (2020) - [c13]Ivan Donadello, Mauro Dragoni:
SeXAI: Introducing Concepts into Black Boxes for Explainable Artificial Intelligence. XAI.it@AI*IA 2020: 41-54 - [c12]Ivan Donadello, Mauro Dragoni:
SeXAI: A Semantic Explainable Artificial Intelligence Framework. AI*IA 2020: 51-66 - [c11]Ivan Donadello, Mauro Dragoni, Claudio Eccher:
Explaining reasoning algorithms with persuasiveness: a case study for a behavioural change system. SAC 2020: 646-653
2010 – 2019
- 2019
- [c10]Ivan Donadello, Mauro Dragoni:
Ontology-Driven Food Category Classification in Images. ICIAP (2) 2019: 607-617 - [c9]Ivan Donadello, Luciano Serafini:
Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image Interpretation. IJCNN 2019: 1-8 - [c8]Ivan Donadello, Mauro Dragoni, Claudio Eccher:
Persuasive Explanation of Reasoning Inferences on Dietary Data. PROFILES/SEMEX@ISWC 2019: 46-61 - [c7]Ivan Donadello, Mauro Dragoni:
An End-to-End Semantic Platform for Nutritional Diseases Management. ISWC (2) 2019: 363-381 - [i2]Ivan Donadello, Luciano Serafini:
Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image Interpretation. CoRR abs/1910.00462 (2019) - 2018
- [b1]Ivan Donadello:
Semantic Image Interpretation - Integration of Numerical Data and Logical Knowledge for Cognitive Vision. University of Trento, Italy, 2018 - 2017
- [c6]Ivan Donadello, Luciano Serafini, Artur S. d'Avila Garcez:
Logic Tensor Networks for Semantic Image Interpretation. IJCAI 2017: 1596-1602 - [c5]Luciano Serafini, Ivan Donadello, Artur S. d'Avila Garcez:
Learning and reasoning in logic tensor networks: theory and application to semantic image interpretation. SAC 2017: 125-130 - [i1]Ivan Donadello, Luciano Serafini, Artur S. d'Avila Garcez:
Logic Tensor Networks for Semantic Image Interpretation. CoRR abs/1705.08968 (2017) - 2016
- [j1]Ivan Donadello, Luciano Serafini:
Integration of numeric and symbolic information for semantic image interpretation. Intelligenza Artificiale 10(1): 33-47 (2016) - 2015
- [c4]Ivan Donadello:
Ontology Based Semantic Image Interpretation. DC@AI*IA 2015: 19-24 - 2014
- [c3]Ivan Donadello, Luciano Serafini:
Mixing Low-Level and Semantic Features for Image Interpretation - A Framework and a Simple Case Study. ECCV Workshops (2) 2014: 283-298 - [c2]Marco Rospocher, Elena Cardillo, Ivan Donadello, Luciano Serafini:
On the Collaborative Development of Application Ontologies: A Practical Case Study with a SME. EKAW 2014: 469-484 - [c1]Daniil Mirylenka, Marco Rospocher, Ivan Donadello, Elena Cardillo, Luciano Serafini:
Exploring an Ontology via Text Similarity: An Experimental Study. IESD@ISWC 2014
Coauthor Index
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