Malcangi Mario Natalino

Research Fellow
SSD
INF/01 - INFORMATICS
Competition sector
01/B1 - INFORMATICS

Contacts

Workplace

Via Celoria, 18

Office phone number
02503 16331
University email address
Web site
Tuesday 9.30 - 11.30 a.m.
Reception office
Via Celoria 20 - Settore Didattico - Edificio 3 - Second floor

Education

Research

Publications
  • Bioinspired Early Prediction of Earthquakes inferred by an Evolving Fuzzy Neural Network Paradigm / M. Malcangi, M. Malcangi (COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE). - In: Engineering Applications of Neural Networks / [a cura di] J. Macintyre, L.Iliadis, I. Maglogiannis, C.Jayne. - Prima edizione. - [s.l] : Springer, 2019. - ISBN 9783030202569. - pp. 361-367 (( Intervento presentato al 20. convegno EANN2019 International Conference tenutosi a Xersonisos nel 2019.
  • Evolving fuzzy-neural paradigm applied to the recognition and removal of artefactual beats in continuous seismocardiogram recordings / M. Malcangi, H. Quan, E. Vaini, P. Lombardi, M. Di Rienzo. - In: EVOLVING SYSTEMS. - ISSN 1868-6478. - (2018 Jun 06). [Epub ahead of print]
  • Myo-To-Speech - Evolving Fuzzy-Neural Network Prediction of Speech Utterances from Myoelectric Signals / M. Malcangi, G. Felisati, A. Saibene, E. Alfonsi, M. Fresia, R. Maffioletti, H. Quan (COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE). - In: Engineering Applications of Neural Networks / [a cura di] E. Pimenidis, C.Jayne. - Prima edizione. - [s.l] : Springer Nature, 2018. - ISBN 9783319982038. - pp. 158-168 (( Intervento presentato al 19. convegno Engineering Applications of Neural Networks tenutosi a Bristol nel 2018.
  • Biomorphic Modeling of Phoneme Identification and Classification Based on an Evolving Fuzzy-neural Network : From Hardcomputing to Softcomputing / M. Malcangi, H. Quan, P. Grew - In: Proceedings of the International Joint Conference on Neural Networks 2017 (IJCNN2017)[s.l] : IEEE, 2017 May. - ISBN 9781509061822. - pp. 3092-3097 (( convegno International Joint Conference on Neural Networks tenutosi a Ankorage nel 2017.
  • Applying the EFuNN Evolving Paradigm to the Recognition of Artefactual Beats in Continuous Seismocardiogram Recordings / M.N. Malcangi, H. Quan, E. Vaini, P. Lombardi, M. Di Rienzo (COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE). - In: Engineering Applications of Neural Networks / [a cura di] G. Boracchi, L. Iliadis, C. Jayne, A. Likias. - Prima edizione. - Cham : Springer International Publishing, 2017. - ISBN 9783319651712. - pp. 256-264 (( Intervento presentato al 18. convegno EANN tenutosi a Athens nel 2017.