

Oma esittely
Michael Neri (Member, IEEE) received the Ph.D. degree in applied electronics from Roma Tre University in 2025. He is currently a Postdoctoral Research Fellow with the Faculty of Information Technology and Communication Sciences, Tampere University, Finland. His main research interests are in the area of computer vision, deep learning, and audio processing. From September 2026, he is a Postdoctoral Fellow of the Tampere Institute of Advanced Study.
Tutkimusrahoitus
Uusimmat julkaisut
Markerless emotion recognition from full-body movements for Social XR
Neri, M., Baldoni, S., Carli, M. & Battisti, F., huhtik. 2026, julkaisussa: Signal Processing: Image Communication. 143, 117489.Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu
Impact of Microphone Array Mismatches to Learning-Based Replay Speech Detection
Neri, M. & Virtanen, T., 17 marrask. 2025, 2025 33rd European Signal Processing Conference (EUSIPCO).Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu
Low-Complexity Patch-Based No-Reference Point Cloud Quality Metric Exploiting Weighted Structure and Texture Features
Neri, M. & Battisti, F., kesäk. 2025, julkaisussa: IEEE Transactions on Broadcasting. 71, 2, s. 631-640 10 SivumääräTutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu
Multi-channel Replay Speech Detection using an Adaptive Learnable Beamformer
Neri, M. & Virtanen, T., 2025, julkaisussa: IEEE Open Journal of Signal Processing. 6, s. 530-535Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu
Transforming Training with New Enabling Technologies: A Proposal to Verify the Efficacy of Virtual Reality Tools in the Occupational Health and Safety Sector
Bentivenga, R., Bernabei, M., Carli, M., Colabianchi, S., Costantino, F., Ferrarotti, A., Neri, M., Pietrafesa, E., Sorrentino, E. & Stabile, S., 2025, Intelligent Sustainable Systems. Springer, (Lecture notes in networks and systems).Tutkimustuotos: Luku › Tieteellinen › vertaisarvioitu
Unsupervised Network Anomaly Detection with Autoencoders and Traffic Images
Neri, M. & Baldoni, S., 17 marrask. 2025, 2025 33rd European Signal Processing Conference (EUSIPCO). IEEE, s. 800-804 5 SivumääräTutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu
Advancing Occupational Safety and Health Training: A Safety-II Integration of the ADDIE Model for Virtual Reality
Bentivenga, R., Bernabei, M., Carli, M., Colabianchi, S., Costantino, F., Ferrarotti, A., Neri, M., Pietrafesa, E., Sorrentino, E. & Stabile, S., 2024, ologies and Intelligent Systems for Technology Enhanced Learning, 14th International Conference. Springer Nature, s. 313–324 (Lecture Notes in Networks and Systems; Vuosikerta 1171).Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu
Enhancing Occupational Safety and Health Training: A Guideline for Virtual Reality Integration
Bernabei, M., Colabianchi, S., Carli, M., Costantino, F., Ferrarotti, A., Neri, M. & Stabile, S., 2024, julkaisussa: IEEE Access. 12, s. 154349 - 154364Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu
Low-Complexity Attention-Based Unsupervised Anomalous Sound Detection Exploiting Separable Convolutions and Angular Loss
Neri, M. & Carli, M., marrask. 2024, julkaisussa: IEEE Sensors Letters. 8, 11, s. 1-4Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu
Semi-Supervised Acoustic Scene Classification Under Domain Shift Using an Attention Module and Angular Loss
Neri, M. & Carli, M., 2024, 2024 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2024. IEEE, (IEEE International Conference on Multimedia and Expo Workshops).Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu