Ivan Donadello

Researcher eHealth Lab (HII eHealth)

Fondazione Bruno Kessler

Artificial Intelligence for Healthcare
Ontologies
mHealth
Deep Learning
Knowledge Representation
Information Extraction
Computer Vision

I am a researcher in Artificial Intelligence for healthcare in the eHealth lab at Fondazione Bruno Kessler (Trento – Italiy). I received my Ph.D. at University of Trento in 2018 with a thesis on the integration of logics and machine learning for Semantic Image Interpretation. My research mainly focuses on virtual agents (or softbot) able to recognize the health state of a person and give suggestions to improve it. In the specific, I work on the psychological disorders and dietary domains.

I love integrating the main ways of human reasoning: deduction and induction. This translates in adding the semantics to the powerful machine learning techniques leading to more intelligent and trustable by humans machines.

My expertise encompasses the fields of knowledge representation (ontologies and fuzzy logic), machine/deep learning, computer vision and explainable Artificial Intelligence.

Curriculum Vitae

Contacts

+39 0461 314084

Links

Publications

Donadello, Ivan; Dragoni, Mauro; Eccher, Claudio; SEMEX: 1st Workshop on Semantic Explainability; Persuasive Explanation of Reasoning Inferences on Dietary Data; in «Joint Proceedings of the 6th International Workshop on Dataset PROFlLingand Search & the 1st Workshop on Semantic Explainability co-locatedwith the 18th International Semantic Web Conference (ISWC 2019)»; CEUR-WS.org; Vol. 2465>; 2019; pp. 46-61
Donadello, Ivan; Dragoni, Mauro; ICIAP 2019: International Conference on Image Analysis and Processing; Ontology-Driven Food Category Classification in Images; in «Proceedings of the International Conference on Image Analysis and Processing (ICIAP 2019)»; Vol. 11752>; 2019; pp. 607-617
Donadello, Ivan; Serafini, Luciano; International Joint Conference on Neural Networks (IJCNN); Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image Interpretation; in «Proceedings of the 2019 International Joint Conference on Neural Networks (IJCNN)»; 2019; pp. 1-8
Donadello, Ivan; Dragoni, Mauro; ISWC 2019 - International Semantic Web Conference; An End-to-End Semantic Platform for Nutritional Diseases Management; in «Proceedings of the 18th International Semantic Web Conference, Part II»; Vol. 11779>; 2019; pp. 363-381
Donadello, Ivan; Semantic Image Interpretation - Integration of Numerical Data and Logical Knowledge for Cognitive Vision; in «Semantic Image Interpretation - Integration of Numerical Data and Logical Knowledge for Cognitive Vision»; 2018; pp. 141
Spoto, Andrea; Serra, Francesca; Donadello, Ivan; Granziol, Umberto; Vidotto, Giulio; New Perspectives in the Adaptive Assessment of Depression: The ATS-PD Version of the QuEDS; in «FRONTIERS IN PSYCHOLOGY»; Vol. 9>; 2018; pp.
Ivan, Donadello; Luciano, Serafini; Artur, d'Avila Garcez; IJCAI 2017; Logic Tensor Networks for Semantic Image Interpretation; in «Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI-17»; 2017; pp. 1596-1602
Luciano Serafini; Ivan Donadello; Artur d'Avila Garcez; SAC 2017; Learning and Reasoning in Logic Tensor Networks: Theory and Application to Semantic Image Interpretation; in «Proceedings of the 32nd Annual ACM Symposium on Applied Computing»; 2017; pp. 125-130
Donadello, Ivan; Serafini, Luciano; Integration of numeric and symbolic information for semantic image interpretation; in «INTELLIGENZA ARTIFICIALE»; Vol. 10>; 2016; pp. 33-47
Donadello, I.; Spoto, A.; Sambo, F.; Badaloni, S.; Granziol, U.; Vidotto, G.; ATS-PD: An Adaptive Testing System for Psychological Disorders; in «EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT»; 2016; pp.