Adria Mallol-Ragolta

Orcid: 0000-0001-6855-485X

According to our database1, Adria Mallol-Ragolta authored at least 36 papers between 2018 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Affective Computing Has Changed: The Foundation Model Disruption.
CoRR, 2024

Coupling Sentiment and Arousal Analysis Towards an Affective Dialogue Manager.
IEEE Access, 2024

Personalised Anomaly Detectors and Prototypical Representations for Relapse Detection from Wearable-Based Digital Phenotyping.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
HEAR4Health: a blueprint for making computer audition a staple of modern healthcare.
Frontiers Digit. Health, May, 2023

The MASCFLICHT Corpus: Face Mask Type and Coverage Area Recognition from Speech.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

COVID-19 Detection from Speech in Noisy Conditions.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Capturing Time Dynamics From Speech Using Neural Networks for Surgical Mask Detection.
IEEE J. Biomed. Health Informatics, 2022

Face mask recognition from audio: The MASC database and an overview on the mask challenge.
Pattern Recognit., 2022

Audio self-supervised learning: A survey.
Patterns, 2022

Outer Product-Based Fusion of Smartwatch Sensor Data for Human Activity Recognition.
Frontiers Comput. Sci., 2022

Continuous-Time Audiovisual Fusion with Recurrence vs. Attention for In-The-Wild Affect Recognition.
CoRR, 2022

The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoes.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Online Personalisation of Deep Mobile Activity Recognisers.
Proceedings of the 7th International Workshop on Sensor-based Activity Recognition and Artificial Intelligence, 2022

Multi-Type Outer Product-Based Fusion of Respiratory Sounds for Detecting COVID-19.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Triplet Loss-Based Models for COVID-19 Detection from Vocal Sounds.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Time-Continuous Audiovisual Fusion with Recurrence vs Attention for In-The-Wild Affect Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

COVID-19 Detection Exploiting Self-Supervised Learning Representations of Respiratory Sounds.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2021
Frustration recognition from speech during game interaction using wide residual networks.
Virtual Real. Intell. Hardw., 2021

EIHW-MTG: Second DiCOVA Challenge System Report.
CoRR, 2021

EIHW-MTG DiCOVA 2021 Challenge System Report.
CoRR, 2021

Cough-Based COVID-19 Detection with Contextual Attention Convolutional Neural Networks and Gender Information.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

A Novel Attention-Based Gated Recurrent Unit and its Efficacy in Speech Emotion Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021

harAGE: A Novel Multimodal Smartwatch-based Dataset for Human Activity Recognition.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

The Filtering Effect of Face Masks in their Detection from Speech.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

COVID-19 Detection with a Novel Multi-Type Deep Fusion Method using Breathing and Coughing Information.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
MuSe 2020 - The First International Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop.
CoRR, 2020

Adversarial-based neural networks for affect estimations in the wild.
CoRR, 2020

MuSe 2020 Challenge and Workshop: Multimodal Sentiment Analysis, Emotion-target Engagement and Trustworthiness Detection in Real-life Media: Emotional Car Reviews in-the-wild.
Proceedings of the MuSe'20: Proceedings of the 1st International on Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop, 2020

An Investigation of Cross-Cultural Semi-Supervised Learning for Continuous Affect Recognition.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

A Curriculum Learning Approach for Pain Intensity Recognition from Facial Expressions.
Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020

Latent-Based Adversarial Neural Networks for Facial Affect Estimations.
Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020

2019
Synchronization in Interpersonal Speech.
Frontiers Robotics AI, 2019

AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition.
Proceedings of the 9th International on Audio/Visual Emotion Challenge and Workshop, 2019

A Hierarchical Attention Network-Based Approach for Depression Detection from Transcribed Clinical Interviews.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Performance Analysis of Unimodal and Multimodal Models in Valence-Based Empathy Recognition.
Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

2018
A Multimodal Approach for Predicting Changes in PTSD Symptom Severity.
Proceedings of the 2018 on International Conference on Multimodal Interaction, 2018


  Loading...