Clasificación de Defectos en Madera utilizando Redes Neuronales Artificiales. - Graciela María de Jesús Ramírez Alonso; Mario Ignacio Chacon Murguia (Computación y Sistemas, 2005)

Fuzzy Clustering Algorithms in Subjective Classification Tasks. - Mario I. Chacon; Graciela Ramírez Alonso (FUZZ-IEEE, 2006)

Wood Defects Classification Using a SOM/FFP Approach with Minimum Dimension Feature Vector. - Mario I. Chacon; Graciela Ramírez Alonso (ISNN (2), 2006)

A Fuzzy Clustering Approach for Face Recognition Based on Face Feature Lines and Eigenvectors. - Mario Ignacio Chacon Murguia; Pablo Rivas-Perea; Graciela Ramírez Alonso (Eng. Lett., 2007)

Improvement of a neural-fuzzy motion detection vision model for complex scenario conditions. - Mario Ignacio Chacon Murguia; Graciela Ramírez Alonso; Sergio Gonzalez-Duarte (IJCNN, 2013)

Segmentation of dynamic objects in video sequences fusing the strengths of a background subtraction model, optical flow and matting algorithms. - Graciela María de Jesús Ramírez Alonso; Mario Ignacio Chacon Murguia (SSIAI, 2014)

Fuzzy-neural self-adapting background modeling with automatic motion analysis for dynamic object detection. - Mario Ignacio Chacon Murguia; Graciela Ramírez Alonso (Appl. Soft Comput., 2015)

Evaluation of the background modeling method Auto-Adaptive Parallel Neural Network Architecture in the SBMnet dataset. - Mario Ignacio Chacon Murguia; Juan A. Ramirez-Quintana; Graciela Ramírez Alonso (ICPR, 2016)

Auto-Adaptive Parallel SOM Architecture with a modular analysis for dynamic object segmentation in videos. - Graciela Ramírez Alonso; Mario Ignacio Chacon Murguia (Neurocomputing, 2016)

Object detection in video sequences by a temporal modular self-adaptive SOM. - Graciela Ramírez Alonso; Mario Ignacio Chacon Murguia (Neural Comput. Appl., 2016)

Temporal weighted learning model for background estimation with an automatic re-initialization stage and adaptive parameters update. - Graciela María de Jesús Ramírez Alonso; Juan A. Ramirez-Quintana; Mario Ignacio Chacon Murguia (Pattern Recognit. Lett., 2017)

Custom Document Embeddings Via the Centroids Method: Gender Classification in an Author Profiling Task: Notebook for PAN at CLEF 2018. - J. Roberto López-Santillán; Luis Carlos González-Gurrola; Graciela Ramírez Alonso (CLEF (Working Notes), 2018)

Adaptive background modeling of complex scenarios based on pixel level learning modeled with a retinotopic self-organizing map and radial basis mapping. - Juan A. Ramirez-Quintana; Mario Ignacio Chacon Murguia; Graciela María de Jesús Ramírez Alonso (Appl. Intell., 2018)

An Evolutionary Approach to Build User Representations for Profiling of Bots and Humans in Twitter. - Jesus López-Santillán; Luis Carlos González-Gurrola; Manuel Montes-y-Gómez; Graciela Ramírez Alonso; Olanda Prieto-Ordaz (CLEF (Working Notes), 2019)

A novel instrument to compare dynamic object detection algorithms. - Mario I. Chacon Murguia; Abimael Guzmán-Pando; Graciela Ramírez Alonso; Juan A. Ramirez-Quintana (Image Vis. Comput., 2019)

Deep Learning Networks for Vowel Speech Imagery. - José Manuel Macías-Macías; Juan Alberto Ramirez-Quintana; Graciela Ramírez Alonso; Mario Ignacio Chacon Murguia (CCE, 2020)

Exploring Convolutional Neural Networks Architectures for the Classification of Hand-Drawn Shapes in Learning Therapy Applications. - Dionisio Ruiz Vazquez; Graciela María de Jesús Ramírez Alonso; Luis Carlos González-Gurrola; Raymundo Cornejo Garcia; Fernando Martínez-Reyes (Computación y Sistemas, 2020)

Richer Document Embeddings for Author Profiling tasks based on a heuristic search. - J. Roberto López-Santillán; Manuel Montes-y-Gómez; Luis Carlos González-Gurrola; Graciela Ramírez Alonso; Olanda Prieto-Ordaz (Inf. Process. Manag., 2020)

How Smartphone Accelerometers Reveal Aggressive Driving Behavior? - The Key is the Representation. - Manuel Ricardo Carlos; Luis Carlos González-Gurrola; Johan Wahlström; Graciela Ramírez Alonso; Fernando Martínez 002; George Runger (IEEE Trans. Intell. Transp. Syst., 2020)

A Lightweight Convolutional Neural Network for Breast Cancer Diagnosis with Histology Images. - Juan A. Ramirez-Quintana; Ivan Acosta-Lara; Graciela Ramírez Alonso; Mario Ignacio Chacon Murguia; Alma Delia Corral Sáenz (MCPR, 2022)

OSLeD-wA: A One-Stage Lesion Detection Method with Attention Mechanisms. - Sebastián Rascón-Cervantes; Graciela Ramírez Alonso; Juan A. Ramirez-Quintana; Manuel Montes-y-Gómez; J. Roberto López-Santillán (MCPR, 2022)

A Wide & Deep Learning Approach for Covid-19 Tweet Classification. - Alberto Valdés-Chávez; J. Roberto López-Santillán; Luis Carlos González-Gurrola; Graciela Ramírez Alonso; Manuel Montes-y-Gómez (MCPR, 2022)

A visual object segmentation algorithm with spatial and temporal coherence inspired by the architecture of the visual cortex. - Juan A. Ramirez-Quintana; Raul Rangel-Gonzalez; Mario Ignacio Chacon Murguia; Graciela Ramírez Alonso (Cogn. Process., 2022)

A Comparative Study in Machine Learning and Audio Features for Kitchen Sounds Recognition. - Alain Manzo-Martinez; Fernando Gaxiola 001; Graciela Ramírez Alonso; Fernando Martínez-Reyes (Computación y Sistemas, 2022)

Analysis of CNN Architectures for Human Action Recognition in Video. - David Silva; Alain Manzo-Martinez; Fernando Gaxiola 001; Luis Carlos González-Gurrola; Graciela Ramírez Alonso (Computación y Sistemas, 2022)

A novel Deep Capsule Neural Network for Vowel Imagery patterns from EEG signals. - Juan A. Ramirez-Quintana; José Manuel Macías-Macías; Graciela Ramírez Alonso; Mario I. Chacon Murguia; Luis F. Corral-Martinez (Biomed. Signal Process. Control., 2023)

A prototypical network for few-shot recognition of speech imagery data. - Alan Hernandez-Galvan; Graciela Ramírez Alonso; Juan A. Ramirez-Quintana (Biomed. Signal Process. Control., 2023)

Automatic Medical Concept Detection on Images: Dividing the Task into Smaller Ones. - Axel Moncloa-Muro; Graciela Ramírez Alonso; Fernando Martínez-Reyes (CLEF (Working Notes), 2024)

A TransUNet model with an adaptive fuzzy focal loss for medical image segmentation. - Adrian Talamantes-Roman; Graciela Ramírez Alonso; Fernando Gaxiola 001; Olanda Prieto-Ordaz; David R. Lopez-Flores (Soft Comput., 2024)

Advances in meta-learning and zero-shot learning for multi-label classification: A review. - Luis-Carlos Quiñonez-Baca; Graciela María de Jesús Ramírez Alonso; Abimael Guzmán-Pando; Javier Camarillo-Cisneros; David R. Lopez-Flores (Digit. Signal Process., 2025)

Toward an enhanced automatic medical report generator based on large transformer models. - Olanda Prieto-Ordaz; Graciela María de Jesús Ramírez Alonso; Manuel Montes-y-Gómez; Roberto López-Santillán (Neural Comput. Appl., 2025)