Ivan Donadello

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 34

Top Venues

CoRR

ICPM Doctoral Consortium / Demo

SAC

Soc. Netw. Anal. Min.

University of Trento, Italy (PHD)

Education History

University of Trento, Italy

PHD

Publications

Ivan Donadello, Paolo Felli, Craig Innes, Fabrizio Maria Maggi, Marco Montali
Conformance Checking of Fuzzy Logs against Declarative Temporal Specifications. CoRR (2024)
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)
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 (2024)
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) (2023)
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)
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 (2023)
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 (2023)
Ivan Donadello, Fabrizio Maria Maggi, Francesco Riva, Manpreet Singh
ASP-Based Log Generation with Purposes in Declare4Py. ICPM Doctoral Consortium / Demo (2023)
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)
Ivan Donadello, Mauro Dragoni
AI-enabled persuasive personal health assistant. Soc. Netw. Anal. Min. 12 (1) (2022)
Chiara Di Francescomarino, Ivan Donadello, Chiara Ghidini, Fabrizio Maria Maggi, Williams Rizzi
Making sense of temporal data: the DECLARE encoding. PMAI@IJCAI (2022)
Natalia Díaz Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello, Siham Tabik, David Filliat, Policarpo Cruz, Rosana Montes, Francisco Herrera
) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case. Inf. Fusion 79 (2022)
Ivan Donadello, Francesco Riva, Fabrizio Maria Maggi, Aladdin Shikhizada
Declare4Py: A Python Library for Declarative Process Mining. BPM (PhD/Demos) (2022)
Tania Bailoni, Mauro Dragoni, Ivan Donadello
Modeling a Functional Status Knowledge Graph For Personal Health. HC@AIxIA (2022)
Mauro Dragoni, Ivan Donadello, Erik Cambria
OntoSenticNet 2: Enhancing Reasoning Within Sentiment Analysis. IEEE Intell. Syst. 37 (2) (2022)
Ivan Donadello, Chiara Di Francescomarino, Fabrizio Maria Maggi, Francesco Ricci, Aladdin Shikhizada
Outcome-Oriented Prescriptive Process Monitoring Based on Temporal Logic Patterns. CoRR (2022)
Ivan Donadello, Anthony Hunter, Stefano Teso, Mauro Dragoni
Machine Learning for Utility Prediction in Argument-Based Computational Persuasion. AAAI (2022)
Milene Santos Teixeira, Ivan Donadello, Mauro Dragoni
Explanations in Digital Health: The Case of Supporting People Lifestyles. AIME (2021)
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. CoRR (2021)
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 (2021)
Ivan Donadello, Anthony Hunter, Stefano Teso, Mauro Dragoni
Machine Learning for Utility Prediction in Argument-Based Computational Persuasion. CoRR (2021)
Ivan Donadello, Mauro Dragoni
SeXAI: A Semantic Explainable Artificial Intelligence Framework. AI*IA (2020)
Ivan Donadello, Mauro Dragoni
SeXAI: Introducing Concepts into Black Boxes for Explainable Artificial Intelligence. XAI.it@AI*IA (2020)
Ivan Donadello, Mauro Dragoni, Claudio Eccher
Explaining reasoning algorithms with persuasiveness: a case study for a behavioural change system. SAC (2020)
Mauro Dragoni, Ivan Donadello, Claudio Eccher
Explainable AI meets persuasiveness: Translating reasoning results into behavioral change advice. Artif. Intell. Medicine 105 (2020)
Ivan Donadello, Mauro Dragoni, Claudio Eccher
Persuasive Explanation of Reasoning Inferences on Dietary Data. PROFILES/SEMEX@ISWC (2019)
Ivan Donadello, Luciano Serafini
Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image Interpretation. CoRR (2019)
Ivan Donadello, Luciano Serafini
Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image Interpretation. IJCNN (2019)
Ivan Donadello, Mauro Dragoni
An End-to-End Semantic Platform for Nutritional Diseases Management. ISWC (2) (2019)
Ivan Donadello, Mauro Dragoni
Ontology-Driven Food Category Classification in Images. ICIAP (2) (2019)
Ivan Donadello, Luciano Serafini, Artur S. d'Avila Garcez
Logic Tensor Networks for Semantic Image Interpretation. IJCAI (2017)
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)
Ivan Donadello, Luciano Serafini, Artur S. d'Avila Garcez
Logic Tensor Networks for Semantic Image Interpretation. CoRR (2017)
Ivan Donadello, Luciano Serafini
Integration of numeric and symbolic information for semantic image interpretation. Intelligenza Artificiale 10 (1) (2016)
Ivan Donadello
Ontology Based Semantic Image Interpretation. DC@AI*IA (2015)
Daniil Mirylenka, Marco Rospocher, Ivan Donadello, Elena Cardillo, Luciano Serafini
Exploring an Ontology via Text Similarity: An Experimental Study. IESD@ISWC (2014)
Marco Rospocher, Elena Cardillo, Ivan Donadello, Luciano Serafini
On the Collaborative Development of Application Ontologies: A Practical Case Study with a SME. EKAW (2014)
Ivan Donadello, Luciano Serafini
Mixing Low-Level and Semantic Features for Image Interpretation - A Framework and a Simple Case Study. ECCV Workshops (2) (2014)

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Publication Activity (10 Years)

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Ivan Donadello