Edge detection for facial expression recognition. - Jesús García-Ramírez; Iván Olmos Pineda; J. Arturo Olvera-López; Manuel Martín Ortiz (LANMR, 2016)

Thresholding Approach based on GPU for Facial Expression Recognition. - Jesús García-Ramírez; J. Arturo Olvera-López; Iván Olmos Pineda; Georgina Flores Becerra; Adolfo Aguilar-Rico (Res. Comput. Sci., 2016)

Búsqueda paralela exhaustiva aplicada a cadenas de ADN y ARNi. - Jesús García-Ramírez; Ivo Humberto Pineda Torres; María J. Somodevilla; Mario Rossainz López; Concepción Pérez de Célis (Res. Comput. Sci., 2016)

ROIs Segmentation in Facial Images Based on Morphology and Density Concepts. - Jesús García-Ramírez; J. Arturo Olvera-López; Iván Olmos Pineda; Manuel Martín Ortiz (MCPR, 2017)

Facial Expression Recognition Using Interpolation Features. - Jesús García-Ramírez; Iván Olmos Pineda; J. Arturo Olvera-López; Manuel Martín Ortiz (Res. Comput. Sci., 2017)

Mouth and eyebrow segmentation for emotion recognition using interpolated polynomials. - Jesús García-Ramírez; J. Arturo Olvera-López; Iván Olmos Pineda; Manuel Martín Ortiz (J. Intell. Fuzzy Syst., 2018)

Multi-source Transfer Learning for Deep Reinforcement Learning. - Jesús García-Ramírez; Eduardo F. Morales 001; Hugo Jair Escalante (MCPR, 2021)

Source Task Selection in Time Series via Performance Prediction. - Jesús García-Ramírez; Eduardo F. Morales 001; Hugo Jair Escalante (MICAI (1), 2021)

Model Compression for Deep Reinforcement Learning Through Mutual Information. - Jesús García-Ramírez; Eduardo F. Morales 001; Hugo Jair Escalante (IBERAMIA, 2022)

Meta-Learning for Hyperparameters Tuning in CNNs for Chest Images. - Jesús García-Ramírez; Rodrigo Ramos Díaz; Jimena Olveres; Boris Escalante-Ramírez (HAIS, 2023)

Removing Zero Variance Units of Deep Models for COVID-19 Detection. - Jesús García-Ramírez; Boris Escalante-Ramírez; Jimena Olveres Montiel (IEEE Access, 2023)

Source tasks selection for transfer deep reinforcement learning: a case of study on Atari games. - Jesús García-Ramírez; Eduardo F. Morales 001; Hugo Jair Escalante (Neural Comput. Appl., 2023)

Lightweight Deep Models for Dermatological Disease Detection: A Study on Instance Selection and Channel Optimization. - Ian Mateos Gonzalez; Estefani Jaramilla Nava; Abraham Sánchez Morales; Jesús García-Ramírez; Ricardo Ramos-Aguilar (CoRR, 2025)

Facial Landmark Visualization and Emotion Recognition Through Neural Networks. - Israel Juárez-Jiménez; Tiffany Guadalupe Martínez Paredes; Jesús García-Ramírez; Eric Ramos-Aguilar (CoRR, 2025)