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Mercedes Torres Torres
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2020 – today
- 2023
- [j6]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): 937-946 (2023) - 2022
- [j5]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: 163-174 (2022) - [c12]Kavan Fatehi, Mercedes Torres Torres, Ayse Küçükyilmaz:
ScoutWav: Two-Step Fine-Tuning on Self-Supervised Automatic Speech Recognition for Low-Resource Environments. INTERSPEECH 2022: 3523-3527 - [c11]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: 249-264 - [i5]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 abs/2202.09816 (2022) - [i4]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 abs/2208.04343 (2022) - 2021
- [j4]Giannis Haralabopoulos, Mercedes Torres Torres, Ioannis Anagnostopoulos, Derek McAuley:
Text data augmentations: Permutation, antonyms and negation. Expert Syst. Appl. 177: 114769 (2021) - [j3]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: 200-208 (2021) - [c10]Giannis Haralabopoulos, Mercedes Torres Torres, Ioannis Anagnostopoulos, Derek McAuley:
Privacy-Preserving Text Labelling Through Crowdsourcing. AIAI Workshops 2021: 431-445 - [c9]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: 1-8 - [i3]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 abs/2110.11713 (2021) - [i2]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 abs/2111.07344 (2021) - 2020
- [j2]Manuel Jiménez, Mercedes Torres Torres, Robert I. John, Isaac Triguero:
Galaxy Image Classification Based on Citizen Science Data: A Comparative Study. IEEE Access 8: 47232-47246 (2020) - [c8]Peter Svenson, Giannis Haralabopoulos, Mercedes Torres Torres:
Sepsis Deterioration Prediction Using Channelled Long Short-Term Memory Networks. AIME 2020: 359-370 - [c7]Maciej Cwierlikowski, Mercedes Torres Torres:
Automatic Detection of Gait Asymmetry. DATA 2020: 169-176 - [c6]Jimiama Mafeni Mase, Peter Chapman, Grazziela P. Figueredo, Mercedes Torres Torres:
A Hybrid Deep Learning Approach for Driver Distraction Detection. ICTC 2020: 1-6 - [c5]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: 1-7 - [c4]Giannis Haralabopoulos, Myron Tsikandilakis, Mercedes Torres Torres, Derek McAuley:
Objective Assessment of Subjective Tasks in Crowdsourcing Applications. CLLRD@LREC 2020: 15-25 - [c3]Jimiama Mafeni Mase, Peter Chapman, Grazziela P. Figueredo, Mercedes Torres Torres:
Benchmarking Deep Learning Models for Driver Distraction Detection. LOD (2) 2020: 103-117
2010 – 2019
- 2019
- [j1]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. 83-84: 87-99 (2019) - [c2]Joy Egede, Michel F. Valstar, Mercedes Torres Torres, Don Sharkey:
Automatic Neonatal Pain Estimation: An Acute Pain in Neonates Database. ACII 2019: 1-7 - [c1]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: 1-6 - [i1]Heda Song, Mercedes Torres Torres, Ender Özcan, Isaac Triguero:
L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout. CoRR abs/1904.04339 (2019)
Coauthor Index
aka: Grazziela P. Figueredo
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