ZOPPIS ITALO FRANCESCO

Zancanaro, A., Zoppis, I., Manzoni, S., Cisotto, G. (2023). vEEGNet: A New Deep Learning Model to Classify and Generate EEG. In Proceedings of the 9th International Conference on Information and Communication Technologies for Ageing Well and e-Health, ICT4AWE 2023, Prague, Czech Republic, April 22-24, 2023 (pp.245-252). Setúbal : Science and Technology Publications [10.5220/0011990800003476]. Detail

Zancanaro, A., Cisotto, G., Tegegn, D., Manzoni, S., Reguzzoni, I., Lotti, E., et al. (2022). Variational Autoencoder for Early Stress Detection in Smart Agriculture: A Pilot Study. In 2022 IEEE Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2022 - Proceedings (pp.126-130). Institute of Electrical and Electronics Engineers Inc. [10.1109/MetroAgriFor55389.2022.9964641]. Detail

Dondi, R., Mauri, G., Zoppis, I. (2022). On the complexity of approximately matching a string to a directed graph. INFORMATION AND COMPUTATION, 288(October 2022), 1-12 [10.1016/j.ic.2021.104748]. Detail

Matamoros Aragon, R., Marconi, L., Zoppis, I., Manzoni, S., Mauri, G., Musiu, E. (2021). Enhancing Teachers-AI Collaboration: Human Computer Interaction Techniques for Recommender Systems in Educational Platforms. Intervento presentato a: Convegno Nazionale Didamatica 2021 - “Artificial Intelligence for Education”, Palermo. Detail

Delelegn, T., Zoppis, I., Manzoni, S., Mognato, A., Reguzzoni, I., Lotti, E. (2021). Rapid Analysis of Powders Based on Deep Learning, Near-Infrared and Derivative Spectroscopy. In Proceedings of the 1st Italian Workshop on Artificial Intelligence and Applications for Business and Industries (AIABI 2021) co-located with 20th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2021) (pp.1-12). CEUR-WS. Detail