Artificial Intelligence, Data Science, Machine Learning for:
- Explainable AI
- Bias and Fairness
- Anomaly Detection
- Recommender Systems
- Network Medicine
07 Algoritmi, Strutture Dati, Ricerca Operativa, Intelligenza Artificiale
INF/01 - Informatica
Computer Science and Operations Research
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Giovanni Stilo is an Associate Professor in the Department of Information Engineering, Computer Science and Mathematics at the University of L'Aquila. He received his PhD. in Computer Science in 2013, and in 2014 he was a visiting researcher at Yahoo! Labs in Barcelona. Between 2015 and 2018, he was a researcher in the Computer Science Department at La Sapienza University, in Rome. His research interests are in the areas of machine learning and data mining, and specifically reinforcement learning, anomaly detection, temporal mining, social network analysis, network medicine, and semantics-aware recommender systems. He has organized several international workshops, held in conjunction with top-tier conferences (ICDM, CIKM, and ECIR), and he is involved as editor and reviewer of top-tier journals, such as TITS, TKDE, DMKD, AI, KAIS, and AIIM.