Mercedes Torres Torres

Orcid: 0000-0003-0452-3784

According to our database1, Mercedes Torres Torres authored at least 21 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2023
Facial identity protection using deep learning technologies: an application in affective computing.
AI Ethics, 2023

2022
Feature importance in machine learning models: A fuzzy information fusion approach.
Neurocomputing, 2022

Contextual Intelligent Decisions: Expert Moderation of Machine Outputs for Fair Assessment of Commercial Driving.
CoRR, 2022

EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python.
Proceedings of the Machine Learning, Optimization, and Data Science, 2022

ScoutWav: Two-Step Fine-Tuning on Self-Supervised Automatic Speech Recognition for Low-Resource Environments.
Proceedings of the Interspeech 2022, 2022

2021
L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout.
Neurocomputing, 2021

Text data augmentations: Permutation, antonyms and negation.
Expert Syst. Appl., 2021

Towards Privacy-Preserving Affect Recognition: A Two-Level Deep Learning Architecture.
CoRR, 2021

Mechanistic Interpretation of Machine Learning Inference: A Fuzzy Feature Importance Fusion Approach.
CoRR, 2021

Few-Shot Learning for Postnatal Gestational Age Estimation.
Proceedings of the International Joint Conference on Neural Networks, 2021

Privacy-Preserving Text Labelling Through Crowdsourcing.
Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2021 IFIP WG 12.5 International Workshops, 2021

2020
Galaxy Image Classification Based on Citizen Science Data: A Comparative Study.
IEEE Access, 2020

Benchmarking Deep Learning Models for Driver Distraction Detection.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020

Objective Assessment of Subjective Tasks in Crowdsourcing Applications.
Proceedings of the LREC 2020 Workshop on Citizen Linguistics in Language Resource Development, 2020

Capturing Uncertainty in Heavy Goods Vehicles Driving Behaviour.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

A Hybrid Deep Learning Approach for Driver Distraction Detection.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2020

Automatic Detection of Gait Asymmetry.
Proceedings of the 9th International Conference on Data Science, 2020

Sepsis Deterioration Prediction Using Channelled Long Short-Term Memory Networks.
Proceedings of the Artificial Intelligence in Medicine, 2020

2019
Postnatal gestational age estimation of newborns using Small Sample Deep Learning.
Image Vis. Comput., 2019

A Preliminary Approach for the Exploitation of Citizen Science Data for Fast and Robust Fuzzy k-Nearest Neighbour Classification.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

Automatic Neonatal Pain Estimation: An Acute Pain in Neonates Database.
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019


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