D'AMATO, VINCENZO STEFANO

D'AMATO, VINCENZO STEFANO  

100023 - Dipartimento di Informatica, bioingegneria, robotica e ingegneria dei sistemi  

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Titolo Data di pubblicazione Autore(i) File
A Cloud Architecture for Emotion Recognition Based on the Appraisal Theory 1-gen-2023 Demutti, M.; D'Amato, V.; Recchiuto, C.; Oneto, L.; Sgorbissa, A.
Accuracy and Intrusiveness in Data-Driven Violin Players Skill Levels Prediction: MOCAP Against MYO Against KINECT 1-gen-2021 D'Amato, V.; Volta, E.; Oneto, L.; Volpe, G.; Camurri, A.; Anguita, D.
Assessing Emotions in Human-Robot Interaction Based on the Appraisal Theory 1-gen-2022 Demutti, M.; D'Amato, V.; Recchiuto, C.; Oneto, L.; Sgorbissa, A.
Deep Multi Temporal Scale Networks for Human Motion Analysis 6-feb-2023 D'Amato, VINCENZO STEFANO
Fair graph representation learning: Empowering NIFTY via Biased Edge Dropout and Fair Attribute Preprocessing 1-gen-2024 Franco, D.; D'Amato, V. S.; Pasa, L.; Navarin, N.; Oneto, L.
Human Movement Datasets: An Interdisciplinary Scoping Review 1-gen-2022 Olugbade, Temitayo; Bieńkiewicz, Marta; Barbareschi, Giulia; Vincenzo, D’Amato; Oneto, Luca; Camurri, Antonio; Holloway, Catherine; Björkman, Mårten; Keller, Peter; Clayton, Martin; C Williams, Amanda C De; Gold, Nicolas; Becchio, Cristina; Bardy, Benoît; Bianchi-Berthouze, Nadia
Keep it Simple: Handcrafting Feature and Tuning Random Forests and XGBoost to face the Affective Movement Recognition Challenge 2021 1-gen-2021 D'Amato, V.; Oneto, L.; Camurri, A.; Anguita, D.
The Importance of Multiple Temporal Scales in Motion Recognition: from Shallow to Deep Multi Scale Models 1-gen-2022 D'Amato, V.; Oneto, L.; Camurri, A.; Anguita, D.; Zarandi, Z.; Fadiga, L.; D'Ausilio, A.; Pozzo, T.
The Importance of Multiple Temporal Scales in Motion Recognition: when Shallow Model can Support Deep Multi Scale Models 1-gen-2022 D'Amato, V.; Oneto, L.; Camurri, A.; Anguita, D.
Understanding Violin Players’ Skill Level Based on Motion Capture: a Data-Driven Perspective 1-gen-2020 D'Amato, V.; Volta, E.; Oneto, L.; Volpe, G.; Camurri, A.; Anguita, D.