D'AMATO, VINCENZO STEFANO
D'AMATO, VINCENZO STEFANO
100023 - Dipartimento di Informatica, bioingegneria, robotica e ingegneria dei sistemi
A Cloud Architecture for Emotion Recognition Based on the Appraisal Theory
2023-01-01 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
2021-01-01 D'Amato, V.; Volta, E.; Oneto, L.; Volpe, G.; Camurri, A.; Anguita, D.
Assessing Emotions in Human-Robot Interaction Based on the Appraisal Theory
2022-01-01 Demutti, M.; D'Amato, V.; Recchiuto, C.; Oneto, L.; Sgorbissa, A.
Deep Multi Temporal Scale Networks for Human Motion Analysis
2023-02-06 D'Amato, VINCENZO STEFANO
Fair graph representation learning: Empowering NIFTY via Biased Edge Dropout and Fair Attribute Preprocessing
2024-01-01 Franco, D.; D'Amato, V. S.; Pasa, L.; Navarin, N.; Oneto, L.
Human Movement Datasets: An Interdisciplinary Scoping Review
2022-01-01 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
2021-01-01 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
2022-01-01 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
2022-01-01 D'Amato, V.; Oneto, L.; Camurri, A.; Anguita, D.
Understanding Violin Players’ Skill Level Based on Motion Capture: a Data-Driven Perspective
2020-01-01 D'Amato, V.; Volta, E.; Oneto, L.; Volpe, G.; Camurri, A.; Anguita, D.
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. |