Mercedes Torres Torres
Mercedes Torres Torres
Head of Machine Learning
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Cited by
Cited by
AVEC 2016: Depression, Mood, and Emotion Recognition Workshop and Challenge
M Valstar, J Gratch, B Schuller, F Ringeval, D Lalanne, M Torres Torres, ...
Proceedings of the 6th International Workshop on Audio/Visual Emotion …, 2016
Chalearn looking at people and faces of the world: Face analysis workshop and challenge 2016
S Escalera, M Torres Torres, B Martinez, X Baró, H Jair Escalante, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
The NoXi database: multimodal recordings of mediated novice-expert interactions
A Cafaro, J Wagner, T Baur, S Dermouche, M Torres Torres, C Pelachaud, ...
Proceedings of the 19th ACM International Conference on Multimodal …, 2017
A hybrid deep learning approach for driver distraction detection
JM Mase, P Chapman, GP Figueredo, MT Torres
2020 International Conference on Information and Communication Technology …, 2020
Evaluating the impact of Heavy Goods Vehicle driver monitoring and coaching to reduce risky behaviour
JM Mase, S Majid, M Mesgarpour, MT Torres, GP Figueredo, P Chapman
Accident Analysis & Prevention 146, 105754, 2020
Benchmarking deep learning models for driver distraction detection
J Mafeni Mase, P Chapman, GP Figueredo, M Torres Torres
Machine Learning, Optimization, and Data Science: 6th International …, 2020
Text data augmentations: Permutation, antonyms and negation
G Haralabopoulos, MT Torres, I Anagnostopoulos, D McAuley
Expert Systems with Applications 177, 114769, 2021
Galaxy image classification based on citizen science data: A comparative study
M Jimenez, MT Torres, R John, I Triguero
IEEE Access 8, 47232-47246, 2020
Feature importance in machine learning models: A fuzzy information fusion approach
D Rengasamy, JM Mase, A Kumar, B Rothwell, MT Torres, MR Alexander, ...
Neurocomputing 511, 163-174, 2022
Automatic habitat classification using image analysis and random forest
M Torres, G Qiu
Ecological Informatics 23, 126-136, 2014
Capturing Uncertainty in Heavy Goods Vehicles Driving Behaviour
JM Mase, U Agrawal, D Pekaslan, M Mesgarpour, P Chapman, MT Torres, ...
2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020
Automatic Neonatal Pain Estimation: An Acute Pain in Neonates Database
J Egede, M Valstar, MT Torres, D Sharkey
2019 8th International Conference on Affective Computing and Intelligent …, 2019
RevManHAL: towards automatic text generation in systematic reviews
M Torres Torres, CE Adams
Systematic reviews 6, 1-7, 2017
AutoRoot: open-source software employing a novel image analysis approach to support fully-automated plant phenotyping
MP Pound, S Fozard, M Torres Torres, BG Forde, AP French
Plant methods 13 (1), 1-10, 2017
AVEC 2016-Depression
M Valstar, J Gratch, B Schuller, F Ringeval, D Lalanne, MT Torres, ...
Mood, and Emotion Recognition Workshop and Challenge, 2016
Postnatal gestational age estimation of newborns using Small Sample Deep Learning
MT Torres, M Valstar, C Henry, C Ward, D Sharkey
Image and vision computing 83, 87-99, 2019
Small sample deep learning for newborn gestational age estimation
MT Torres, MF Valstar, C Henry, C Ward, D Sharkey
2017 12th IEEE International Conference on Automatic Face & Gesture …, 2017
L2AE-D: Learning to aggregate embeddings for few-shot learning with meta-level dropout
H Song, MT Torres, E Özcan, I Triguero
Neurocomputing 442, 200-208, 2021
Objective assessment of subjective tasks in crowdsourcing applications
G Haralabopoulos, M Tsikandilakis, MT Torres, D McAuley
Evaluation of synthetic aerial imagery using unconditional generative adversarial networks
M Yates, G Hart, R Houghton, MT Torres, M Pound
ISPRS Journal of Photogrammetry and Remote Sensing 190, 231-251, 2022
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