Ivan Donadello

Fabrizio Maria Maggi

Francesco Riva

Manpreet Singh

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

AI-enabled persuasive personal health assistant.

[BibT_eX]

[DOI]

Soc. Netw. Anal. Min., 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.

[BibT_eX]

[DOI]

Natalia Díaz Rodríguez

Inf. Fusion, 2022

OntoSenticNet 2: Enhancing Reasoning Within Sentiment Analysis.

[BibT_eX]

[DOI]

Erik Cambria

IEEE Intell. Syst., 2022

Outcome-Oriented Prescriptive Process Monitoring Based on Temporal Logic Patterns.

[BibT_eX]

[DOI]

Chiara Di Francescomarino

Fabrizio Maria Maggi

Francesco Ricci

Aladdin Shikhizada

CoRR, 2022

Making sense of temporal data: the DECLARE encoding.

[BibT_eX]

[DOI]

Chiara Di Francescomarino

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

Declare4Py: A Python Library for Declarative Process Mining.

[BibT_eX]

[DOI]

Proceedings of the Best Dissertation Award, 2022

Modeling a Functional Status Knowledge Graph For Personal Health.

[BibT_eX]

[DOI]

Tania Bailoni

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

Machine Learning for Utility Prediction in Argument-Based Computational Persuasion.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Logic Tensor Networks: Theory and Applications.

[BibT_eX]

[DOI]

Proceedings of the Neuro-Symbolic Artificial Intelligence: The State of the Art, 2021

A Practical Tutorial on Explainable AI Techniques.

[BibT_eX]

[DOI]

Natalia Díaz Rodríguez

CoRR, 2021

EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case.

[BibT_eX]

[DOI]

Natalia Díaz Rodríguez

CoRR, 2021

Explanations in Digital Health: The Case of Supporting People Lifestyles.

[BibT_eX]

[DOI]

Milene Santos Teixeira

Proceedings of the Artificial Intelligence in Medicine, 2021

2020

Explainable AI meets persuasiveness: Translating reasoning results into behavioral change advice.

[BibT_eX]

[DOI]

Claudio Eccher

Artif. Intell. Medicine, 2020

Explaining reasoning algorithms with persuasiveness: a case study for a behavioural change system.

[BibT_eX]

[DOI]

Claudio Eccher

Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

SeXAI: A Semantic Explainable Artificial Intelligence Framework.

[BibT_eX]

[DOI]

Proceedings of the AIxIA 2020 - Advances in Artificial Intelligence, 2020

SeXAI: Introducing Concepts into Black Boxes for Explainable Artificial Intelligence.

[BibT_eX]

[DOI]

Proceedings of the Italian Workshop on Explainable Artificial Intelligence co-located with 19th International Conference of the Italian Association for Artificial Intelligence, 2020

2019

Persuasive Explanation of Reasoning Inferences on Dietary Data.

[BibT_eX]

[DOI]

Claudio Eccher

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

An End-to-End Semantic Platform for Nutritional Diseases Management.

[BibT_eX]

[DOI]

Proceedings of the Semantic Web - ISWC 2019, 2019

Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image Interpretation.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Ontology-Driven Food Category Classification in Images.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

2018

Semantic Image Interpretation - Integration of Numerical Data and Logical Knowledge for Cognitive Vision.

[BibT_eX]

[DOI]

PhD thesis, 2018

2017

Learning and reasoning in logic tensor networks: theory and application to semantic image interpretation.

[BibT_eX]

[DOI]

Proceedings of the Symposium on Applied Computing, 2017

Logic Tensor Networks for Semantic Image Interpretation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Integration of numeric and symbolic information for semantic image interpretation.

[BibT_eX]

[DOI]

Intelligenza Artificiale, 2016

2015

Ontology Based Semantic Image Interpretation.

[BibT_eX]

[DOI]

Proceedings of the Doctoral Consortium (DC) co-located with the 14th Conference of the Italian Association for Artificial Intelligence (AI*IA 2015), 2015

2014

Exploring an Ontology via Text Similarity: An Experimental Study.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]