About
Ivan Serina is a researcher at Università degli Studi di Brescia, Italy, with a focus on Artificial Intelligence, Machine Learning, and Natural Language Processing. His work spans Biomedical Informatics, Automated Planning, and Data Science, particularly in healthcare and multi-agent systems applications.
Recent research includes AI planning with Python, language model bias detection, and COVID-19 prognosis estimation. He has extensively collaborated with Alfonso Emilio Gerevini and Luca Putelli, integrating GPT models with classical planning frameworks and analyzing BERT's attention mechanisms for medical report classification.
His publications emphasize privacy-preserving planning, deep learning for land cover segmentation, and multi-task learning in biomedical NER. Ivan's work combines theoretical planning algorithms with practical implementations in healthcare, agriculture, and Italian language processing.
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