MAGGINI MARCO

Presentazione

Marco Maggini received the Laurea degree (cum laude) in Electronics Engineering and the Ph.D. degree in Computer Engineering and Control Systems from the University of Florence, in 1991 and 1995, respectively. In 1996 he joined the University of Siena, where he is currently full professor in Computer Engineering at the Department of Information Engineering and Mathematics.

His current research interests include machine learning, neural networks and kernel machines, integration of symbolic and sub-symbolic knowledge, web mining, search engine technology, pattern recognition, natural language processing, and computer vision.

Prof. Maggini served as an Associate Editor of the Association for Computing Machinery’s Transactions on Internet Technology (ACM TOIT) and he has been a member of the program committee of several international conferences and workshops. He has a been Guest Editor of a special issue of the ACM TOIT on machine learning and the Internet. He is author of more than 120 publications on International Journals and Conferences.

Orari di ricevimento

  • Giovedi' dalle 15:00 alle 17:00
    Luogo: Edificio S. Niccolo', Via Roma n.56 - stanza 118

Attività didattica

ANNO ACCADEMICO DI ESPLETAMENTO: 2025/2026

Anno di corso: 1 Corso di Laurea Magistrale ARTIFICIAL INTELLIGENCE AND AUTOMATION ENGINEERING A.A. 2025/2026
Anno di corso: 2 Corso di Laurea Magistrale ARTIFICIAL INTELLIGENCE AND AUTOMATION ENGINEERING A.A. 2024/2025

ANNO ACCADEMICO DI ESPLETAMENTO: 2024/2025

Anno di corso: 1 Corso di Laurea Magistrale ARTIFICIAL INTELLIGENCE AND AUTOMATION ENGINEERING A.A. 2024/2025
Anno di corso: 2 Corso di Laurea Magistrale ARTIFICIAL INTELLIGENCE AND AUTOMATION ENGINEERING A.A. 2023/2024

ANNO ACCADEMICO DI ESPLETAMENTO: 2023/2024

Anno di corso: 1 Corso di Laurea Magistrale ARTIFICIAL INTELLIGENCE AND AUTOMATION ENGINEERING A.A. 2023/2024
Anno di corso: 2 Corso di Laurea Magistrale ARTIFICIAL INTELLIGENCE AND AUTOMATION ENGINEERING A.A. 2022/2023

ANNO ACCADEMICO DI ESPLETAMENTO: 2022/2023

Anno di corso: 2 Corso di Laurea Magistrale ARTIFICIAL INTELLIGENCE AND AUTOMATION ENGINEERING A.A. 2021/2022
Anno di corso: 2 Laurea triennale (DM 270) INGEGNERIA GESTIONALE A.A. 2021/2022

ANNO ACCADEMICO DI ESPLETAMENTO: 2021/2022

Anno di corso: 2 Corso di Laurea Magistrale ARTIFICIAL INTELLIGENCE AND AUTOMATION ENGINEERING A.A. 2020/2021
Anno di corso: 2 Laurea triennale (DM 270) INGEGNERIA GESTIONALE A.A. 2020/2021

Attività di ricerca

Ultime pubblicazioni:

  • Zeinalipour, K., Keptig, Y.G., Maggini, M., Gori, M. (2025). Automating Turkish Educational Quiz Generation Using Large Language Models. In Intelligent Systems and Pattern Recognition. ISPR 2024 (pp.246-260). Cham : Springer [10.1007/978-3-031-82150-9_19]. - dettaglio
  • Lamsiyah, S., Zeinalipour, K., El Amrany, S., Brust, M., Maggini, M., Bouvry, P., et al. (2025). ArabicSense: A Benchmark for Evaluating Commonsense Reasoning in Arabic with Large Language Models. In Proceedings of the 4th Workshop on Arabic Corpus Linguistics (WACL-4) Proceedings of the Workshop (pp.1-11). Association for Computational Linguistics (ACL). - dettaglio
  • Zeinalipour, K., Jamshidi, N., Akbari, F., Maggini, M., Bianchini, M., Gori, M. (2025). PersianMCQ-Instruct: A Comprehensive Resource for Generating Multiple-Choice Questions in Persian. In Proceedings of the First Workshop on Language Models for Low-Resource Languages (pp.344-372). Association for Computational Linguistics. - dettaglio
  • Tanfoni, M., Ceroni, E.G., Maggini, M., Pancino, N., Bianchini, M. (2024). A Hybrid Deep Learning Approach for Liver Tumor Segmentation Using DeepLabV3+ and Hidden Markov Models. In 2024 IEEE International Symposium on Systems Engineering (ISSE) (pp.1-5). New York : IEEE [10.1109/ISSE63315.2024.10741139]. - dettaglio
  • Tanfoni, M., Ceroni, E.G., Pancino, N., Bianchini, M., Maggini, M. (2024). Facial Segmentation in Deepfake Classification: a Transfer Learning Approach. In 28th International Conference on Knowledge Based and Intelligent information and Engineering Systems (KES 2024) (pp.4160-4168) [10.1016/j.procs.2024.09.255]. - dettaglio