Vincenzo Stefano D'Amato
Orcid: 0000-0002-2492-7340
According to our database1,
Vincenzo Stefano D'Amato
authored at least 10 papers
between 2020 and 2024.
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Bibliography
2024
Fair graph representation learning: Empowering NIFTY via Biased Edge Dropout and Fair Attribute Preprocessing.
Neurocomputing, January, 2024
2023
ACM Comput. Surv., 2023
2022
Proceedings of the 31st IEEE International Conference on Robot and Human Interactive Communication, 2022
The Importance of Multiple Temporal Scales in Motion Recognition: from Shallow to Deep Multi Scale Models.
Proceedings of the International Joint Conference on Neural Networks, 2022
The Importance of Multiple Temporal Scales in Motion Recognition: when Shallow Model can Support Deep Multi Scale Models.
Proceedings of the International Joint Conference on Neural Networks, 2022
A Cloud Architecture for Emotion Recognition Based on the Appraisal Theory (short paper).
Proceedings of the 9th Italian Workshop on Artificial Intelligence and Robotics co-located with the the 21th International Conference of the Italian Association for Artificial Intelligence, 2022
2021
Accuracy and Intrusiveness in Data-Driven Violin Players Skill Levels Prediction: MOCAP Against MYO Against KINECT.
Proceedings of the Advances in Computational Intelligence, 2021
Keep it Simple: Handcrafting Feature and Tuning Random Forests and XGBoost to face the Affective Movement Recognition Challenge 2021.
Proceedings of the 2021 9th International Conference on Affective Computing and Intelligent Interaction, 2021
2020
Understanding Violin Players' Skill Level Based on Motion Capture: a Data-Driven Perspective.
Cogn. Comput., 2020