Cornelio Yáñez-Márquez

Orcid: 0000-0002-6250-4728

According to our database1, Cornelio Yáñez-Márquez authored at least 101 papers between 2001 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
MiniCovid-Unet: CT-Scan Lung Images Segmentation for COVID-19 Identification.
Computación y Sistemas (CyS), 2024

Data Stream Classification Based on an Associative Classifier.
Computación y Sistemas (CyS), 2024

Ant-Based Feature and Instance Selection for Multiclass Imbalanced Data.
IEEE Access, 2024

DSVS at HOMO-MEX24: Multi-Class and Multi-Label Hate Speech Detection using Transformer-Based Models.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2024) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2024), 2024

DSVS at PAN 2024: Ensemble Approach of Transformer-based Language Models for Analyzing Conspiracy Theories Against Critical Thinking Narratives.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

2023

Random forest Algorithm for the Classification of Spectral Data of Astronomical Objects.
Algorithms, June, 2023

Convolving Emotions: A Compact CNN for EEG-Based Emotion Recognition.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

BEC-1D: Biosignal-Based Emotions Classification with 1D ConvNet.
Proceedings of the Advances in Soft Computing, 2023

2022
Entanglement measures of a pentapartite W-class state in the noninertial frame.
Quantum Inf. Process., 2022

2020
Generic extended multigranular sets for mixed and incomplete information systems.
Soft Comput., 2020

Undersampling Instance Selection for Hybrid and Incomplete Imbalanced Data.
J. Univers. Comput. Sci., 2020

Toward the Bleaching of the Black Boxes: Minimalist Machine Learning.
IT Prof., 2020

Granulation in Rough Set Theory: A novel perspective.
Int. J. Approx. Reason., 2020

Stochastic gradient boosting for predicting the maintenance effort of software-intensive systems.
IET Softw., 2020

The Naïve Associative Classifier With Epsilon Disambiguation.
IEEE Access, 2020

2019
Prediction of Cancer using Microarrays Analysis by Machine Learning Algorithms.
Res. Comput. Sci., 2019

Gene selection for enhanced classification on microarray data using a weighted k-NN based algorithm.
Intell. Data Anal., 2019

A machine learning approach to medical image classification: Detecting age-related macular degeneration in fundus images.
Comput. Electr. Eng., 2019

An Extension of the Gamma Associative Classifier for Dealing With Hybrid Data.
IEEE Access, 2019

NACOD: A Naïve Associative Classifier for Online Data.
IEEE Access, 2019

A Simple Model for the Entropy of a System With Interacting Particles.
IEEE Access, 2019

2018
An Associative Memory Approach to Healthcare Monitoring and Decision Making.
Sensors, 2018

Selecting an Optimization Algorithm for the Administration of Human Resources Process in the Production Line of a Textile Enterprise.
Res. Comput. Sci., 2018

Credit Assignment: Using Resampling Methods for Dealing with the Class Imbalance Problem.
Res. Comput. Sci., 2018

Theoretical Foundations for the Alpha-Beta Associative Memories: 10 Years of Derived Extensions, Models, and Applications.
Neural Process. Lett., 2018

Medical Diagnosis of Chronic Diseases Based on a Novel Computational Intelligence Algorithm.
J. Univers. Comput. Sci., 2018

Support vector regression for predicting software enhancement effort.
Inf. Softw. Technol., 2018

Improving the Performance of an Associative Classifier by Gamma Rough Sets Based Instance Selection.
Int. J. Pattern Recognit. Artif. Intell., 2018

Automatic feature weighting for improving financial Decision Support Systems.
Decis. Support Syst., 2018

Experimental Platform for Intelligent Computing (EPIC).
Computación y Sistemas, 2018

Prediction of Online Students Performance by Means of Genetic Programming.
Appl. Artif. Intell., 2018

2017
Computational Intelligence Algorithms Applied to the Pre-diagnosis of Chronic Diseases.
Res. Comput. Sci., 2017

Simultaneous instance and feature selection for improving prediction in special education data.
Program, 2017

Pattern classification using smallest normalized difference associative memory.
Pattern Recognit. Lett., 2017

Electoral Preferences Prediction of the YouGov Social Network Users Based on Computational Intelligence Algorithms.
J. Univers. Comput. Sci., 2017

The Naïve Associative Classifier (NAC): A novel, simple, transparent, and accurate classification model evaluated on financial data.
Neurocomputing, 2017

Instance-based ontology matching for e-learning material using an associative pattern classifier.
Comput. Hum. Behav., 2017

Support Vector Regression for Predicting the Enhancement Duration of Software Projects.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

2016
Telemarketing Success: Evaluation of Supervised Classifiers.
Res. Comput. Sci., 2016

Metaheuristic optimization of multivariate adaptive regression splines for predicting the schedule of software projects.
Neural Comput. Appl., 2016

2015
Metodología de clasificación de señales electromiográficas.
Res. Comput. Sci., 2015

An emerging - Social and emerging computing enabled philosophical paradigm for collaborative learning systems: Toward high effective next generation learning systems for the knowledge society.
Comput. Hum. Behav., 2015

Green Information Technology influence on car owners' behavior: Considerations for their operative support in collaborative eLearning and social networks.
Comput. Hum. Behav., 2015

Collaborative learning in postgraduate level courses.
Comput. Hum. Behav., 2015

Collaborative learning based on associative models: Application to pattern classification in medical datasets.
Comput. Hum. Behav., 2015

2014
Risk Detection of Malignant Tumors in Mammograms using Unconventional Computing.
Res. Comput. Sci., 2014

Currency Exchange Rate Forecasting using Associative Models.
Res. Comput. Sci., 2014

Evolutionary Approach to Feature Selection with Associative Models.
Res. Comput. Sci., 2014

A novel associative model for time series data mining.
Pattern Recognit. Lett., 2014

The Social Media in Academia and EducationResearch R-evolutions and a Paradox: Advanced Next Generation Social Learning Innovation.
J. Univers. Comput. Sci., 2014

Proportional derivative fuzzy control supplied with second order sliding mode differentiation.
Eng. Appl. Artif. Intell., 2014

2013
Selección de características utilizando el paradigma de memoria asociativa y computación paralela.
Computación y Sistemas, 2013

Bidirectional associative memories: Different approaches.
ACM Comput. Surv., 2013

Mobile System Surveillance for Vehicular Pollutants Emission, Based on Wi-Fi Ad-Hoc Network.
Proceedings of the Ubiquitous Computing and Ambient Intelligence. Context-Awareness and Context-Driven Interaction, 2013

Associative Model for the Forecasting of Time Series Based on the Gamma Classifier.
Proceedings of the Pattern Recognition - 5th Mexican Conference, 2013

Adaptive control of discrete-time nonlinear systems by recurrent neural networks in a Quasi Sliding mode regime.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
Una evidencia robusta de que el algoritmo DES fortalecido con una permutación inicial variable es eficiente.
Computación y Sistemas, 2012

Autómatas celulares alfa-beta.
Computación y Sistemas, 2012

An associative memory approach to medical decision support systems.
Comput. Methods Programs Biomed., 2012

Significative Learning Using Alpha-Beta Associative Memories.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

2011
Reconocimiento automático de voz emotiva con memorias asociativas Alfa-Beta SVM.
Polibits, 2011

Pollutants Time-Series Prediction using the Gamma Classifier.
Int. J. Comput. Intell. Syst., 2011

Prediction of CO and NOx Levels in Mexico City Using Associative Models.
Proceedings of the Artificial Intelligence Applications and Innovations, 2011

Soft-core implementation for centre of Slice Area Average defuzzifier.
Proceedings of the FUZZ-IEEE 2011, 2011

2009
Classifying Patterns in Bioinformatics Databases by Using Alpha-Beta Associative Memories.
Proceedings of the Biomedical Data and Applications, 2009

Vector Quantization Algorithm Based on Associative Memories.
Proceedings of the MICAI 2009: Advances in Artificial Intelligence, 2009

2008
Predictive accuracy comparison of fuzzy models for software development effort of small programs.
J. Syst. Softw., 2008

Morphological Transform for Image Compression.
EURASIP J. Adv. Signal Process., 2008

Adequacy Checking of Personal Software Development Effort Estimation Models Based upon Fuzzy Logic: A Replicated Experiment.
Computación y Sistemas, 2008

The New Informatics Technologies in Education Debate.
Proceedings of the Open Knowlege Society. A Computer Science and Information Systems Manifesto, 2008

FPGA Implementation of Parallel Alpha-Beta Associative Memories.
Proceedings of the Image Analysis and Recognition, 5th International Conference, 2008

Analysis and Prediction of Air Quality Data with the Gamma Classifier.
Proceedings of the Progress in Pattern Recognition, 2008

Handwritten Digit Classification Based on Alpha-Beta Associative Model.
Proceedings of the Progress in Pattern Recognition, 2008

A Fast Search Algorithm for Vector Quantization Based on Associative Memories.
Proceedings of the Progress in Pattern Recognition, 2008

2007
Alpha-Beta bidirectional associative memories: theory and applications.
Neural Process. Lett., 2007

A New Model of BAM: Alpha-Beta Bidirectional Associative Memories.
J. Comput., 2007

Fuzzy Models for Software Development Effort Estimation of Small Programs: A Comparison Based Upon MMER as Well as Heteroscedasticity.
Proceedings of the 2007 International Conference on Software Engineering Research & Practice, 2007

An Empirical Validation of the Relationship Between MRE and Effort on Small Programs.
Proceedings of the 2007 International Conference on Software Engineering Research & Practice, 2007

Hardware Implementation of Image Recognition System Based on Morphological Associative Memories and Discrete Wavelet Transform.
Proceedings of the Advances in Image and Video Technology, Second Pacific Rim Symposium, 2007

Complete Recall on Alpha-Beta Heteroassociative Memory.
Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007

Design of an Evolutionary Codebook Based on Morphological Associative Memories.
Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007

Using Alpha-Beta Associative Memories to Learn and Recall RGB Images.
Proceedings of the Advances in Neural Networks, 2007

Perfect Recall on the Lernmatrix.
Proceedings of the Advances in Neural Networks, 2007

Optimized Associative Memories for Feature Selection.
Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007

2006
Alpha-Beta Bidirectional Associative Memories.
Computación y Sistemas, 2006

A Fuzzy Logic Model for Software Development Effort Estimation at Personal Level.
Proceedings of the MICAI 2006: Advances in Artificial Intelligence, 2006

Complexity of Alpha-Beta Bidirectional Associative Memories.
Proceedings of the MICAI 2006: Advances in Artificial Intelligence, 2006

Alpha-Beta Associative Memories for Gray Level Patterns.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Neural Network Based Industrial Processes Monitoring.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

A Novel Approach to Automatic Color Matching.
Proceedings of the Progress in Pattern Recognition, 2006

Egomotion Estimation as an Appearance-Based Classification Problem.
Proceedings of the Progress in Pattern Recognition, 2006

Image Compression Algorithm Based on Morphological Associative Memories.
Proceedings of the Progress in Pattern Recognition, 2006

2005
Neural Network and Trend Prediction for Technological Processes Monitoring.
Proceedings of the MICAI 2005: Advances in Artificial Intelligence, 2005

Software Development Effort Estimation Using Fuzzy Logic: A Case Study.
Proceedings of the Sixth Mexican International Conference on Computer Science (ENC 2005), 2005

2004
Lernmatrix de Steinbuch: Avances Teóricos.
Computación y Sistemas, 2004

Cuantificación del Error en las Mediciones Debido a la Frecuencia de Muestreo.
Computación y Sistemas, 2004

Thinning Algorithm to Generate k-Connected Skeletons.
Proceedings of the Progress in Pattern Recognition, 2004

2003
Memorias Asociativas Basadas en Relaciones de Orden y Operaciones Binarias.
Computación y Sistemas, 2003

Diseño de Sistemas de Memoria Cache de Alto Rendimiento aplicando Algoritmos de Acceso Seudo-Especulativo.
Computación y Sistemas, 2003

2001
Computing geometric moments using morphological erosions.
Pattern Recognit., 2001


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