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Vincenzo Stefano D'Amato
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2020 – today
- 2024
- [j3]Danilo Franco
, Vincenzo Stefano D'Amato
Fair graph representation learning: Empowering NIFTY via Biased Edge Dropout and Fair Attribute Preprocessing. Neurocomputing 563: 126948 (2024) - 2023
- [b1]Vincenzo Stefano D'Amato
Deep Multi Temporal Scale Networks for Human Motion Analysis. University of Genoa, Italy, 2023 - [j2]Temitayo A. Olugbade
Human Movement Datasets: An Interdisciplinary Scoping Review. ACM Comput. Surv. 55(6): 126:1-126:29 (2023) - 2022
- [c6]Marco Demutti, Vincenzo Stefano D'Amato, Carmine Tommaso Recchiuto, Luca Oneto, Antonio Sgorbissa:
A Cloud Architecture for Emotion Recognition Based on the Appraisal Theory (short paper). AIRO@AI*IA 2022: 19-24 - [c5]Vincenzo Stefano D'Amato
The Importance of Multiple Temporal Scales in Motion Recognition: when Shallow Model can Support Deep Multi Scale Models. IJCNN 2022: 1-10 - [c4]Vincenzo Stefano D'Amato
The Importance of Multiple Temporal Scales in Motion Recognition: from Shallow to Deep Multi Scale Models. IJCNN 2022: 1-9 - [c3]Marco Demutti
Assessing Emotions in Human-Robot Interaction Based on the Appraisal Theory. RO-MAN 2022: 1435-1442 - 2021
- [c2]Vincenzo Stefano D'Amato
Keep it Simple: Handcrafting Feature and Tuning Random Forests and XGBoost to face the Affective Movement Recognition Challenge 2021. ACII (Workshops and Demos) 2021: 1-7 - [c1]Vincenzo Stefano D'Amato
Accuracy and Intrusiveness in Data-Driven Violin Players Skill Levels Prediction: MOCAP Against MYO Against KINECT. IWANN (2) 2021: 367-379 - 2020
- [j1]Vincenzo Stefano D'Amato
Understanding Violin Players' Skill Level Based on Motion Capture: a Data-Driven Perspective. Cogn. Comput. 12(6): 1356-1369 (2020)
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last updated on 2024-10-07 21:16 CEST by the dblp team
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