Emotion Recognition Using Time-Frequency Distribution and GLCM Features from EEG Signals. - Oscar Almanza-Conejo; Dora Luz Almanza-Ojeda; Jose L. Contreras-Hernandez; Mario Alberto Ibarra-Manzano (MCPR, 2022)

Emotion recognition in EEG signals using the continuous wavelet transform and CNNs. - Oscar Almanza-Conejo; Dora Luz Almanza-Ojeda; Jose L. Contreras-Hernandez; Mario Alberto Ibarra-Manzano (Neural Comput. Appl., 2023)

A channel selection method to find the role of the amygdala in emotion recognition avoiding conflict learning in EEG signals. - Oscar Almanza-Conejo; Juan Gabriel Aviña-Cervantes; Arturo Garcia-Perez; Mario Alberto Ibarra-Manzano (Eng. Appl. Artif. Intell., 2023)

Emotion Recognition in Gaming Dataset to Reduce Artifacts in the Self-Assessed Labeling Using Semi-Supervised Clustering. - Oscar Almanza-Conejo; Juan Gabriel Aviña-Cervantes; Arturo Garcia-Perez; Mario Alberto Ibarra-Manzano (IEEE Access, 2024)

Corrections to "Emotion Recognition in Gaming Dataset to Reduce Artifacts in the Self-Assessed Labeling Using Semi-Supervised Clustering". - Oscar Almanza-Conejo; Juan Gabriel Aviña-Cervantes; Arturo Garcia-Perez; Mario Alberto Ibarra-Manzano (IEEE Access, 2024)

Automated Machine Learning for Text Classification: Creating Ensembles of Classifiers through Evolutionary Hyper-Heuristics. - Jonathán de Jesús Estrella Ramírez; Carlos Hugo García-Capulín; Oscar Almanza-Conejo; Juan Carlos Gómez Carranza (Eng. Appl. Artif. Intell., 2025)

REGEEG: A Regression-Based EEG Signal Processing in Emotion Recognition. - Oscar Almanza-Conejo; Juan Gabriel Aviña-Cervantes; Arturo Garcia-Perez; Mario Alberto Ibarra-Manzano (IEEE J. Biomed. Health Informatics, 2025)