ZOPPIS ITALO FRANCESCO

Ruolo: 
Ricercatore
Settore scientifico disciplinare: 
INFORMATICA (INF/01)
Telefono: 
0264487864
Stanza: 
U14, Piano: P02, Stanza: 2013
Viale Sarca, 336 - 20126 MILANO

Didattica

Pubblicazioni

  • Dondi, R., Mauri, G., & Zoppis, I. (2020). Complexity Issues of String to Graph Approximate Matching. In Language and Automata Theory and Applications (pp.248-259). Springer. Dettaglio
  • Mauri, G., Stella, F., Morreale, A., Cisotto, G., Manzoni, S., Zanga, A., et al. (2020). An attention-based architecture for EEG classification. In Proc. BIOSTEC 2020 –13th International Joint Conference on Biomedical Engineering Systems and Technologies, Vol. 4, BIOSIGNALS (pp.214-219). SciTePress. Dettaglio
  • Zoppis, I., Trentini, A., Manzoni, S., Micucci, D., Mauri, G., Pietrabissa, G., et al. (2020). Online social space identification. A computational tool for optimizing social recommendations. APPLIED SCIENCES, 10(9), 1-14. Dettaglio
  • Epifania, F., Marconi, L., Aragon, R., Mauri, G., Manzoni, S., & Zoppis, I. (2020). Attentional Neural Mechanisms for Social Recommendations in Educational Platforms. In CSEDU 2020 – 12th International Conference on Computer Supported Education (pp.111-117). Dettaglio
  • Corchs, S., Chioma, G., Dondi, R., Gasparini, F., Manzoni, S., Markowska-Kacznar, U., et al. (2019). Computational Methods for Resting-State EEG of Patients With Disorders of Consciousness. FRONTIERS IN NEUROSCIENCE, 13, 1-7. Dettaglio