Mercedes Torres Torres

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 23

Top Topics

Feature Importance

Affective Computing

Top Venues

Publications

Jimiama M. M. Mase, Natalie Leesakul, Grazziela P. Figueredo, Mercedes Torres Torres
Facial identity protection using deep learning technologies: an application in affective computing. AI Ethics 3 (3) (2023)
Aayush Kumar, Jimiama Mafeni Mase, Divish Rengasamy, Benjamin Rothwell, Mercedes Torres Torres, David A. Winkler, Grazziela P. Figueredo
EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python. CoRR (2022)
Kavan Fatehi, Mercedes Torres Torres, Ayse Küçükyilmaz
ScoutWav: Two-Step Fine-Tuning on Self-Supervised Automatic Speech Recognition for Low-Resource Environments. INTERSPEECH (2022)
Jimiama Mafeni Mase, Direnc Pekaslan, Utkarsh Agrawal, Mohammad Mesgarpour, Peter Chapman, Mercedes Torres Torres, Grazziela P. Figueredo
Contextual Intelligent Decisions: Expert Moderation of Machine Outputs for Fair Assessment of Commercial Driving. CoRR (2022)
Aayush Kumar, Jimiama Mafeni Mase, Divish Rengasamy, Benjamin Rothwell, Mercedes Torres Torres, David A. Winkler, Grazziela P. Figueredo
EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python. LOD (2) (2022)
Divish Rengasamy, Jimiama Mafeni Mase, Aayush Kumar, Benjamin Rothwell, Mercedes Torres Torres, Morgan R. Alexander, David A. Winkler, Grazziela P. Figueredo
Feature importance in machine learning models: A fuzzy information fusion approach. Neurocomputing 511 (2022)
Stepan Romanov, Heda Song, Michel F. Valstar, Don Sharkey, Caz Henry, Isaac Triguero, Mercedes Torres Torres
Few-Shot Learning for Postnatal Gestational Age Estimation. IJCNN (2021)
Giannis Haralabopoulos, Mercedes Torres Torres, Ioannis Anagnostopoulos, Derek McAuley
Privacy-Preserving Text Labelling Through Crowdsourcing. AIAI Workshops (2021)
Jimiama Mafeni Mase, Natalie Leesakul, Fan Yang, Grazziela P. Figueredo, Mercedes Torres Torres
Towards Privacy-Preserving Affect Recognition: A Two-Level Deep Learning Architecture. CoRR (2021)
Divish Rengasamy, Jimiama Mafeni Mase, Mercedes Torres Torres, Benjamin Rothwell, David A. Winkler, Grazziela P. Figueredo
Mechanistic Interpretation of Machine Learning Inference: A Fuzzy Feature Importance Fusion Approach. CoRR (2021)
Heda Song, Mercedes Torres Torres, Ender Özcan, Isaac Triguero
L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout. Neurocomputing 442 (2021)
Giannis Haralabopoulos, Mercedes Torres Torres, Ioannis Anagnostopoulos, Derek McAuley
Text data augmentations: Permutation, antonyms and negation. Expert Syst. Appl. 177 (2021)
Maciej Cwierlikowski, Mercedes Torres Torres
Automatic Detection of Gait Asymmetry. DATA (2020)
Jimiama Mafeni Mase, Peter Chapman, Grazziela P. Figueredo, Mercedes Torres Torres
Benchmarking Deep Learning Models for Driver Distraction Detection. LOD (2) (2020)
Manuel Jiménez, Mercedes Torres Torres, Robert I. John, Isaac Triguero
Galaxy Image Classification Based on Citizen Science Data: A Comparative Study. IEEE Access 8 (2020)
Giannis Haralabopoulos, Myron Tsikandilakis, Mercedes Torres Torres, Derek McAuley
Objective Assessment of Subjective Tasks in Crowdsourcing Applications. CLLRD@LREC (2020)
Jimiama Mafeni Mase, Utkarsh Agrawal, Direnc Pekaslan, Mohammad Mesgarpour, Peter Chapman, Mercedes Torres Torres, Grazziela P. Figueredo
Capturing Uncertainty in Heavy Goods Vehicles Driving Behaviour. ITSC (2020)
Jimiama Mafeni Mase, Peter Chapman, Grazziela P. Figueredo, Mercedes Torres Torres
A Hybrid Deep Learning Approach for Driver Distraction Detection. ICTC (2020)
Peter Svenson, Giannis Haralabopoulos, Mercedes Torres Torres
Sepsis Deterioration Prediction Using Channelled Long Short-Term Memory Networks. AIME (2020)
Mercedes Torres Torres, Michel F. Valstar, Caroline Henry, Carole Ward, Don Sharkey
Postnatal gestational age estimation of newborns using Small Sample Deep Learning. Image Vis. Comput. (2019)
Joy Egede, Michel F. Valstar, Mercedes Torres Torres, Don Sharkey
Automatic Neonatal Pain Estimation: An Acute Pain in Neonates Database. ACII (2019)
Manuel Jiménez, Mercedes Torres Torres, Robert I. John, Isaac Triguero
A Preliminary Approach for the Exploitation of Citizen Science Data for Fast and Robust Fuzzy k-Nearest Neighbour Classification. FUZZ-IEEE (2019)
Heda Song, Mercedes Torres Torres, Ender Özcan, Isaac Triguero
L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout. CoRR (2019)