Sfoglia per Autore
Thyroid dysfunction in thalassaemic patients: Ferritin as a prognostic marker and combined iron chelators as an ideal therapy
2013-01-01 Chirico, V.; Antonio, L.; Vincenzo, S.; Luca, N.; Valeria, F.; Basilia, P.; Luciana, R.; Carmelo, S.; Teresa, A.
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.
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.
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.
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
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.
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.
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.
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.
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.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Thyroid dysfunction in thalassaemic patients: Ferritin as a prognostic marker and combined iron chelators as an ideal therapy | 1-gen-2013 | Chirico, V.; Antonio, L.; Vincenzo, S.; Luca, N.; Valeria, F.; Basilia, P.; Luciana, R.; Carmelo, S.; Teresa, A. | |
| 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. | |
| 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. | |
| 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. | |
| 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 | |
| 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. | |
| 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. | |
| 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. | |
| 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. | |
| 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. |
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