Mixing Low-Level and Semantic Features for Image Interpretation - A Framework and a Simple Case Study. - Ivan Donadello; Luciano Serafini (ECCV Workshops (2), 2014)

On the Collaborative Development of Application Ontologies: A Practical Case Study with a SME. - Marco Rospocher; Elena Cardillo; Ivan Donadello; Luciano Serafini (EKAW, 2014)

Exploring an Ontology via Text Similarity: An Experimental Study. - Daniil Mirylenka; Marco Rospocher; Ivan Donadello; Elena Cardillo; Luciano Serafini (IESD@ISWC, 2014)

Ontology Based Semantic Image Interpretation. - Ivan Donadello (DC@AI*IA, 2015)

Integration of numeric and symbolic information for semantic image interpretation. - Ivan Donadello; Luciano Serafini (Intelligenza Artificiale, 2016)

Logic Tensor Networks for Semantic Image Interpretation. - Ivan Donadello; Luciano Serafini; Artur S. d'Avila Garcez (IJCAI, 2017)

Learning and reasoning in logic tensor networks: theory and application to semantic image interpretation. - Luciano Serafini; Ivan Donadello; Artur S. d'Avila Garcez (SAC, 2017)

Semantic Image Interpretation - Integration of Numerical Data and Logical Knowledge for Cognitive Vision. - Ivan Donadello (2018)

Ontology-Driven Food Category Classification in Images. - Ivan Donadello; Mauro Dragoni (ICIAP (2), 2019)

Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image Interpretation. - Ivan Donadello; Luciano Serafini (IJCNN, 2019)

An End-to-End Semantic Platform for Nutritional Diseases Management. - Ivan Donadello; Mauro Dragoni (ISWC (2), 2019)

Persuasive Explanation of Reasoning Inferences on Dietary Data. - Ivan Donadello; Mauro Dragoni; Claudio Eccher (PROFILES/SEMEX@ISWC, 2019)

SeXAI: Introducing Concepts into Black Boxes for Explainable Artificial Intelligence. - Ivan Donadello; Mauro Dragoni (XAI.it@AI*IA, 2020)

SeXAI: A Semantic Explainable Artificial Intelligence Framework. - Ivan Donadello; Mauro Dragoni (AI*IA, 2020)

Explaining reasoning algorithms with persuasiveness: a case study for a behavioural change system. - Ivan Donadello; Mauro Dragoni; Claudio Eccher (SAC, 2020)

Explainable AI meets persuasiveness: Translating reasoning results into behavioral change advice. - Mauro Dragoni; Ivan Donadello; Claudio Eccher (Artif. Intell. Medicine, 2020)

Explanations in Digital Health: The Case of Supporting People Lifestyles. - Milene Santos Teixeira; Ivan Donadello; Mauro Dragoni (AIME, 2021)

EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case. - Natalia Díaz Rodríguez; Alberto Lamas 001; Jules Sanchez; Gianni Franchi; Ivan Donadello; Siham Tabik; David Filliat; Policarpo Cruz; Rosana Montes; Francisco Herrera (CoRR, 2021)

Logic Tensor Networks: Theory and Applications. - Luciano Serafini; Artur S. d'Avila Garcez; Samy Badreddine; Ivan Donadello; Michael Spranger; Federico Bianchi 001 (Neuro-Symbolic Artificial Intelligence, 2021)

Machine Learning for Utility Prediction in Argument-Based Computational Persuasion. - Ivan Donadello; Anthony Hunter; Stefano Teso; Mauro Dragoni (AAAI, 2022)

Modeling a Functional Status Knowledge Graph For Personal Health. - Tania Bailoni; Mauro Dragoni; Ivan Donadello (HC@AIxIA, 2022)

Declare4Py: A Python Library for Declarative Process Mining. - Ivan Donadello; Francesco Riva; Fabrizio Maria Maggi; Aladdin Shikhizada (BPM (PhD/Demos), 2022)

Making sense of temporal data: the DECLARE encoding. - Chiara Di Francescomarino; Ivan Donadello; Chiara Ghidini; Fabrizio Maria Maggi; Williams Rizzi (PMAI@IJCAI, 2022)

OntoSenticNet 2: Enhancing Reasoning Within Sentiment Analysis. - Mauro Dragoni; Ivan Donadello; Erik Cambria (IEEE Intell. Syst., 2022)

EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case. - Natalia Díaz Rodríguez; Alberto Lamas 001; Jules Sanchez; Gianni Franchi; Ivan Donadello; Siham Tabik; David Filliat; Policarpo Cruz; Rosana Montes; Francisco Herrera (Inf. Fusion, 2022)

AI-enabled persuasive personal health assistant. - Ivan Donadello; Mauro Dragoni (Soc. Netw. Anal. Min., 2022)

The Food and Food Categories (FFoCat) Dataset. - Ivan Donadello; Mauro Dragoni (Zenodo, 2022)

A Dataset for Utility Prediction in Computational Persuasion with Machine Learning Techniques. - Ivan Donadello; Anthony Hunter; Stefano Teso; Mauro Dragoni (Zenodo, 2022)

The Semantic PASCAL-Part Dataset. - Ivan Donadello; Luciano Serafini (Zenodo, 2022)

ASP-Based Log Generation with Purposes in Declare4Py. - Ivan Donadello; Fabrizio Maria Maggi; Francesco Riva; Manpreet Singh (ICPM Doctoral Consortium / Demo, 2023)

Two Solutions for Checking LTLf Properties in Event Logs. - Tedi Ibershimi; Diellsimeone Xhemalaj; Anti Alman; Ivan Donadello; Fabrizio Maria Maggi (ICPM Doctoral Consortium / Demo, 2023)

Declarative Process Mining for Software Processes: The RuM Toolkit and the Declare4Py Python Library. - Anti Alman; Ivan Donadello; Fabrizio Maria Maggi; Marco Montali (PROFES (2), 2023)

Knowledge-Driven Modulation of Neural Networks with Attention Mechanism for Next Activity Prediction. - Ivan Donadello; Jonghyeon Ko; Fabrizio Maria Maggi; Jan Mendling; Francesco Riva; Matthias Weidlich 001 (CoRR, 2023)

Integrating Functional Status Information into Knowledge Graphs to Support Self-Health Management. - Mauro Dragoni; Tania Bailoni; Ivan Donadello; Jean-Claude Martin; Helena Lindgren (Data Intell., 2023)

Outcome-Oriented Prescriptive Process Monitoring based on Temporal Logic Patterns. - Ivan Donadello; Chiara Di Francescomarino; Fabrizio Maria Maggi; Francesco Ricci 001; Aladdin Shikhizada (Eng. Appl. Artif. Intell., 2023)

Conformance Checking of Fuzzy Logs Against Declarative Temporal Specifications. - Ivan Donadello; Paolo Felli; Craig Innes; Fabrizio Maria Maggi; Marco Montali (BPM, 2024)

Making Sense of Temporal Event Data:A Framework for Comparing Techniques for the Discovery of Discriminative Temporal Patterns. - Chiara Di Francescomarino; Ivan Donadello; Chiara Ghidini; Fabrizio Maria Maggi; Williams Rizzi; Sergio Tessaris (CAiSE, 2024)

Compromises in Dialogical Argumentation: Aggregated Policies for Biparty Decision Theory. - Ivan Donadello; Renan Lirio de Souza; Anthony Hunter; Mauro Dragoni (ECAI, 2024)

Video Analytics for Volleyball: Preliminary Results and Future Prospects of the 5VREAL Project. - Andrea Rosani; Ivan Donadello; Michele Calvanese; Alessandro Torcinovich; Giuseppe Di Fatta; Marco Montali; Oswald Lanz (Ital-IA, 2024)

Guiding the generation of counterfactual explanations through temporal background knowledge for Predictive Process Monitoring. - Andrei Buliga 001; Chiara Di Francescomarino; Chiara Ghidini; Ivan Donadello; Fabrizio Maria Maggi (CoRR, 2024)

A Practical Tutorial on Explainable AI Techniques. - Adrien Bennetot; Ivan Donadello; Ayoub El Qadi; Mauro Dragoni; Thomas Frossard; Benedikt Wagner; Anna Saranti; Silvia Tulli; Maria Trocan; Raja Chatila 001; Andreas Holzinger; Artur d'Avila Garcez; et al. (ACM Comput. Surv., 2025)