Pilar Gómez-Gil

Orcid: 0000-0003-1550-6218

Affiliations:
  • National Institute of Astrophysics, Tonanzintla, Mexico


According to our database1, Pilar Gómez-Gil authored at least 67 papers between 1999 and 2023.

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

Timeline

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Bibliography

2023
A Review on Protection and Cancelable Techniques in Biometric Systems.
IEEE Access, 2023

LSTM-based hand thermal recovery analysis using infrared and RGB-visual imagery.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

2022
Pseudo-Label-Assisted Self-Organizing Maps for Brain Tissue Segmentation in Magnetic Resonance Imaging.
J. Digit. Imaging, 2022

2021
Standardization-refinement domain adaptation method for cross-subject EEG-based classification in imagined speech recognition.
Pattern Recognit. Lett., 2021

Non-Contact Liquid Level Measurement Using Optical Interferometry and Neural Networks.
IEEE Instrum. Meas. Mag., 2021

A study of the effects of negative transfer on deep unsupervised domain adaptation methods.
Expert Syst. Appl., 2021

BIOMEX-DB: A Cognitive Audiovisual Dataset for Unimodal and Multimodal Biometric Systems.
IEEE Access, 2021

Dorsal hand veins biometrics using NIR images with fusion of classifiers at score level.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021

Bi-dimensional representation of EEGs for BCI classification using CNN architectures.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Bimodal Biometrics Using EEG-Voice Fusion at Score Level Based on Hidden Markov Models.
Proceedings of the Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, 2020

Segmentation and Classification of Noisy Thermographic Images as an Aid for Identifying Risk Levels of Breast Cancer.
Proceedings of the Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, 2020

A New Wavelet-Based Neural Network for Classification of Epileptic-Related States using EEG.
J. Signal Process. Syst., 2020

Custom Domain Adaptation: A New Method for Cross-Subject, EEG-Based Cognitive Load Recognition.
IEEE Signal Process. Lett., 2020

Digit-Based Speaker Verification in Spanish Using Hidden Markov Models.
Res. Comput. Sci., 2020

Segmentation of MRI brain scans using spatial constraints and 3D features.
Medical Biol. Eng. Comput., 2020

Classifiers Ensemble of HMM and d-Vectors in Biometric Speaker Verification.
Proceedings of the Advances in Soft Computing, 2020

Embedded System for Bimodal Biometrics with Fiducial Feature Extraction on ECG and PPG Signals.
Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020

2019
An Approach on MCSA-Based Fault Detection Using Independent Component Analysis and Neural Networks.
IEEE Trans. Instrum. Meas., 2019

A method for studying how much time of EEG recording is needed to have a good user identification.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2019

2018
Wavelet-based frame video coding algorithms using fovea and SPECK.
Eng. Appl. Artif. Intell., 2018

On Bernoulli-Euler modeling of an immersed beam for axisymmetric container parameters measurement.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2018

Induction motors fault detection using independent component analysis on phase current signals.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2018

2017
Spectral Characterization of Content Level Based on Acoustic Resonance: Neural Network and Feedforward Fuzzy Net Approaches.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017

Long-Term Prediction of a Sine Function Using a LSTM Neural Network.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017

Cross-subject classification of cognitive loads using a recurrent-residual deep network.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

2016
Modeling Diversity in Ensembles for Time-Series Prediction Based on Self-Organizing Maps.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016

Intelligent identification of induction motor conditions at several mechanical loads.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2016

Genetic algorithms based on a granular surrogate model and fuzzy aptitude functions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
MATLAB and FPGA-based interactive tool for exploring concepts on compressed sensing.
Comput. Appl. Eng. Educ., 2015

2014
Step Length Estimation and Activity Detection in a PDR System Based on a Fuzzy Model with Inertial Sensors.
Proceedings of the Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014

Identification of Epilepsy Seizures Using Multi-resolution Analysis and Artificial Neural Networks.
Proceedings of the Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014

Temporal Validated Meta-Learning for Long-Term Forecasting of Chaotic Time Series Using Monte Carlo Cross-Validation.
Proceedings of the Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014

FPGA-Based Broken Bars Detection on Induction Motors Under Different Load Using Motor Current Signature Analysis and Mathematical Morphology.
IEEE Trans. Instrum. Meas., 2014

Network Intrusion Detection Using Self-Recurrent Wavelet Neural Network with Multidimensional Radial Wavelons.
Inf. Technol. Control., 2014

Interactive educational tool for compensators design in MATLAB® using frequency response analysis.
Comput. Appl. Eng. Educ., 2014

Selecting and combining models with self-organizing maps for long-term forecasting of chaotic time series.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Binarization: A Tool for Text Localization.
Proceedings of the 14th International Conference on Frontiers in Handwriting Recognition, 2014

2013
Brain Computer Interface Development Based on Recurrent Neural Networks and ANFIS Systems.
Proceedings of the Soft Computing Applications in Optimization, Control, and Recognition, 2013

Mental Tasks Temporal Classification Using an Architecture Based on ANFIS and Recurrent Neural Networks.
Proceedings of the Recent Advances on Hybrid Intelligent Systems, 2013

Gyroscope-Driven Mouse Pointer with an EMOTIV<sup>®</sup> EEG Headset and Data Analysis Based on Empirical Mode Decomposition.
Sensors, 2013

A Scalable Communication-Induced Checkpointing Algorithm for Distributed Systems.
IEICE Trans. Inf. Syst., 2013

FPGA-based educational platform for real-time image processing experiments.
Comput. Appl. Eng. Educ., 2013

Designing partially-connected, multilayer perceptron neural nets through information gain.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

An assessment of ten-fold and Monte Carlo cross validations for time series forecasting.
Proceedings of the 10th International Conference on Electrical Engineering, 2013

2012
Intermedia Synchronization Protocol for Continuous Media Using MPEG-4 in Mobile Distributed Systems.
KSII Trans. Internet Inf. Syst., 2012

Acute leukemia classification by ensemble particle swarm model selection.
Artif. Intell. Medicine, 2012

2011
Composite Recurrent Neural Networks for Long-Term Prediction of Highly-Dynamic Time Series Supported by Wavelet Decomposition.
Proceedings of the Soft Computing for Intelligent Control and Mobile Robotics, 2011

A Neural Network Scheme for Long-Term Forecasting of Chaotic Time Series.
Neural Process. Lett., 2011

A Biometric System Based on Neural Networks and SVM Using Morphological Feature Extraction from Hand-Shape Images.
Informatica, 2011

Genetic Selection of Fuzzy Model for Acute Leukemia Classification.
Proceedings of the Advances in Artificial Intelligence, 2011

Genetic Fuzzy Relational Neural Network for Infant Cry Classification.
Proceedings of the Pattern Recognition - Third Mexican Conference, 2011

Finding patterns in labeled graphs using spectrum feature vectors in a SOM network.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
Neural Networks and SVM-Based Classification of Leukocytes Using the Morphological Pattern Spectrum.
Proceedings of the Soft Computing for Recognition Based on Biometrics, 2010

On-line Signature Verification Based on Modified Dynamic Time Warping and Wavelet Sub-band Coding.
Proceedings of the Advances in Pattern Recognition, 2010

Time series forecasting using recurrent neural networks and wavelet reconstructed signals.
Proceedings of the 20th International Conference on Electronics, 2010

2009
Shape-based hand recognition approach using the morphological pattern spectrum.
J. Electronic Imaging, 2009

Type-2 Fuzzy Sets Applied to Pattern Matching for the Classification of Cries of Infants under Neurological Risk.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2009

Speech Text-Independent Segmentation Using an Improvement Method for Identification of Phoneme Boundaries.
Proceedings of the CONIELECOMP 2009, 2009

2007
The Role of Neural Networks in the Interpretation of Antique Handwritten Documents.
Proceedings of the Hybrid Intelligent Systems - Analysis and Design, 2007

One-Dimensional Kohonen Networks and Their Application to Automatic Classification of Images.
Eng. Lett., 2007

Long-Term Prediction, Chaos and Artificial Neural Networks. Where is the Meeting Point?
Eng. Lett., 2007

2006
Experiments with a Hybrid-Complex Neural Networks for Long Term Prediction of Electrocardiograms.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
Algorithms for the Typing of Related DNA Sequences.
Proceedings of the 15th International Conference on Electronics, Communications, and Computers (CONIELECOMP 2005), 28 February 2005, 2005

Non-supervised Classification of 2D Color Images Using Kohonen Networks and a Novel Metric.
Proceedings of the Progress in Pattern Recognition, 2005

2004
Usefulness of Solution Algorithms of the Traveling Salesman Problem in the Typing of Biological Sequences in a Clinical Laboratory Setting.
Proceedings of the 14th International Conference on Electronics, 2004

Feature Maps for Non-supervised Classification of Low-Uniform Patterns of Handwritten Letters.
Proceedings of the Progress in Pattern Recognition, 2004

1999
On the use of hybrid neural networks and non-linear invariants for prediction of electrocardiograms.
Proceedings of the International Joint Conference Neural Networks, 1999


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