Adria Mallol-Ragolta
Adria Mallol-Ragolta
Research Assistant, Chair of Embedded Intelligence for Health Care and Wellbeing at University of
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Zitiert von
Zitiert von
AVEC 2019 workshop and challenge: state-of-mind, detecting depression with AI, and cross-cultural affect recognition
F Ringeval, B Schuller, M Valstar, N Cummins, R Cowie, L Tavabi, ...
Proceedings of the 9th International on Audio/visual Emotion Challenge and …, 2019
Muse 2020 challenge and workshop: Multimodal sentiment analysis, emotion-target engagement and trustworthiness detection in real-life media: Emotional car reviews in-the-wild
L Stappen, A Baird, G Rizos, P Tzirakis, X Du, F Hafner, L Schumann, ...
Proceedings of the 1st International on Multimodal Sentiment Analysis in …, 2020
A Hierarchical Attention Network-Based Approach for Depression Detection from Transcribed Clinical Interviews
A Mallol-Ragolta, Z Zhao, L Stappen, N Cummins, B Schuller
Proc. Interspeech 2019, 221-225, 2019
A multimodal approach for predicting changes in PTSD symptom severity
A Mallol-Ragolta, S Dhamija, TE Boult
Proceedings of the 20th ACM International Conference on Multimodal …, 2018
Latent-based adversarial neural networks for facial affect estimations
D Aspandi, A Mallol-Ragolta, B Schuller, X Binefa
2020 15th IEEE International Conference on Automatic Face and Gesture …, 2020
Audio self-supervised learning: A survey
S Liu, A Mallol-Ragolta, E Parada-Cabeleiro, K Qian, X Jing, A Kathan, ...
arXiv preprint arXiv:2203.01205, 2022
A novel attention-based gated recurrent unit and its efficacy in speech emotion recognition
ST Rajamani, KT Rajamani, A Mallol-Ragolta, S Liu, B Schuller
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
Frustration recognition from speech during game interaction using wide residual networks
M Song, A Mallol-Ragolta, E Parada-Cabaleiro, Z Yang, S Liu, Z Ren, ...
Virtual Reality & Intelligent Hardware 3 (1), 76-86, 2021
Time-Continuous Audiovisual Fusion With Recurrence vs Attention for In-the-Wild Affect Recognition
V Karas, MK Tellamekala, A Mallol-Ragolta, M Valstar, BW Schuller
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Synchronization in interpersonal speech
S Amiriparian, J Han, M Schmitt, A Baird, A Mallol-Ragolta, M Milling, ...
Frontiers in Robotics and AI 6, 116, 2019
The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoes
BW Schuller, A Batliner, S Amiriparian, C Bergler, M Gerczuk, N Holz, ...
arXiv preprint arXiv:2205.06799, 2022
Face mask recognition from audio: The MASC database and an overview on the mask challenge
MM Mohamed, MA Nessiem, A Batliner, C Bergler, S Hantke, M Schmitt, ...
Pattern Recognition 122, 108361, 2022
Cough-Based COVID-19 Detection with Contextual Attention Convolutional Neural Networks and Gender Information
A Mallol-Ragolta, H Cuesta, E Gómez, BW Schuller
Proc. Interspeech 2021, 941-945, 2021
An Investigation of Cross-Cultural Semi-Supervised Learning for Continuous Affect Recognition.
A Mallol-Ragolta, N Cummins, BW Schuller
INTERSPEECH, 511-515, 2020
Performance analysis of unimodal and multimodal models in valence-based empathy recognition
A Mallol-Ragolta, M Schmitt, A Baird, N Cummins, B Schuller
2019 14th IEEE International Conference on Automatic Face & Gesture …, 2019
harAGE: a novel multimodal smartwatch-based dataset for human activity recognition
A Mallol-Ragolta, A Semertzidou, M Pateraki, B Schuller
2021 16th IEEE International Conference on Automatic Face and Gesture …, 2021
Outer product-based fusion of smartwatch sensor data for human activity recognition
A Mallol-Ragolta, A Semertzidou, M Pateraki, BW Schuller
COVID-19 detection with a novel multi-type deep fusion method using breathing and coughing information
S Liu, A Mallol-Ragolta, BW Schuller
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
The filtering effect of face masks in their detection from speech
A Mallol-Ragolta, S Liu, BW Schuller
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
Machine learning in digital health, recent trends, and ongoing challenges
N Cummins, Z Ren, A Mallol-Ragolta, B Schuller
Artificial Intelligence in Precision Health, 121-148, 2020
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