The DRESS Blizzard Challenge 2008 Entry. - Hamurabi Gamboa-Rosales; Oliver Jokisch; Rüdiger Hoffmann (Blizzard Challenge, 2008)

Maximum likelihood unit selection for corpus-based speech synthesis. - Abubeker Gamboa Rosales; Hamurabi Gamboa-Rosales; Rüdiger Hoffmann (INTERSPEECH, 2009)

Optimale Bausteinauswahl in der korpusbasierten Sprachsynthese: konkatenative Sprachsynthese. - Hamurabi Gamboa-Rosales (2010)

A survey about databases of children's speech. - Felix Claus 002; Hamurabi Gamboa-Rosales; Rico Petrick; Horst-Udo Hain; Rüdiger Hoffmann (INTERSPEECH, 2013)

A survey about ASR for children. - Felix Claus 002; Hamurabi Gamboa-Rosales; Rico Petrick; Horst-Udo Hain; Rüdiger Hoffmann (SLaTE, 2013)

Prosodic chunking of German as a foreign language. - Hansjörg Mixdorff; Hamurabi Gamboa-Rosales (SLaTE, 2013)

A new class of discrete orthogonal polynomials for blind fitting of finite data. - Luis J. Morales-Mendoza; Hamurabi Gamboa-Rosales; Yuriy S. Shmaliy (Signal Process., 2013)

Semi-fragile digital speech watermarking for online speaker recognition. - Mohammad Ali Nematollahi; Mohammad Akhaee; Syed Abdul Rahman Al-Haddad; Hamurabi Gamboa-Rosales (EURASIP J. Audio Speech Music. Process., 2015)

Auditory driven subband speech enhancement for automatic recognition of noisy speech. - Navneet Upadhyay; Hamurabi Gamboa-Rosales (Int. J. Speech Technol., 2016)

An Analysis of Audio Features to Develop a Human Activity Recognition Model Using Genetic Algorithms, Random Forests, and Neural Networks. - Carlos Eric Galván-Tejada; Jorge I. Galván-Tejada; José M. Celaya-Padilla; J. Ruben Delgado-Contreras; Rafael Magallanes-Quintanar; Margarita L. Martinez-Fierro; Idalia Garza-Veloz; Yamilé López-Hernández; Hamurabi Gamboa-Rosales (Mob. Inf. Syst., 2016)

Multi-factor authentication model based on multipurpose speech watermarking and online speaker recognition. - Mohammad Ali Nematollahi; Hamurabi Gamboa-Rosales; Francisco Javier Martínez-Ruiz; José Ismael de la Rosa Vargas; Syed Abdul Rahman Al-Haddad; Mansour Esmaeilpour (Multim. Tools Appl., 2017)

Optimization of a Blind Speech Watermarking Technique against Amplitude Scaling. - Mohammad Ali Nematollahi; Chalee Vorakulpipat; Hamurabi Gamboa-Rosales (Secur. Commun. Networks, 2017)

A Similarity Analysis of Audio Signal to Develop a Human Activity Recognition Using Similarity Networks. - Alejandra García-Hernández; Carlos Eric Galván-Tejada; Jorge I. Galván-Tejada; José M. Celaya-Padilla; Hamurabi Gamboa-Rosales; Perla Velasco-Elizondo; Rogelio Cárdenas-Vargas (Sensors, 2017)

An Empiric Study of the Use of Mobile Technology by Users with Intellectual Disability. - Alfredo Mendoza-González; Huizilopoztli Luna-García; Ricardo Mendoza-González; Cristian Rusu; Jorge I. Galván-Tejada; Hamurabi Gamboa-Rosales; José G. Arceo-Olague; José M. Celaya-Padilla; Roberto Solis-Robles (HCI-COLLAB, 2018)

Bibliometric Network Analysis to Identify the Intellectual Structure and Evolution of the Big Data Research Field. - José Ricardo López-Robles; Jose Ramon Otegi-Olaso; Igone Porto Gómez; Nadia Karina Gamboa-Rosales; Hamurabi Gamboa-Rosales; Hermes Robles-Berumen (IDEAL (2), 2018)

An Approach to Make Software Testing for Users with Down Syndrome a little more Pleasant. - Alfredo Mendoza-González; Huizilopoztli Luna-García; Ricardo Mendoza-González; Cristian Rusu; Hamurabi Gamboa-Rosales; Jorge I. Galván-Tejada; José G. Arceo-Olague; José M. Celaya-Padilla; Roberto Solis-Robles (Interacción, 2018)

60 Years of Business Intelligence: A Bibliometric Review from 1958 to 2017. - José Ricardo López-Robles; Jose Ramon Otegi-Olaso; Nadia Karina Gamboa-Rosales; Hamurabi Gamboa-Rosales; Manuel J. Cobo (SoMeT, 2018)

Sensitivity and Variability Analysis for Image Denoising Using Maximum Likelihood Estimation of Exponential Distribution. - Amita Nandal; Arvind Dhaka; Hamurabi Gamboa-Rosales; Ninoslav Marina; Jorge I. Galván-Tejada; Carlos Eric Galván-Tejada; Arturo Moreno-Báez; José M. Celaya-Padilla; Huizilopoztli Luna-García (Circuits Syst. Signal Process., 2018)

Image Edge Detection Using Fractional Calculus with Feature and Contrast Enhancement. - Amita Nandal; Hamurabi Gamboa-Rosales; Arvind Dhaka; José M. Celaya-Padilla; Jorge I. Galván-Tejada; Carlos Eric Galván-Tejada; Francisco Javier Martínez-Ruiz; Cesar Guzman-Valdivia (Circuits Syst. Signal Process., 2018)

A Generalized Model for Indoor Location Estimation Using Environmental Sound from Human Activity Recognition. - Carlos Eric Galván-Tejada; Francisco Eneldo López-Monteagudo; Omero Alonso-González; Jorge I. Galván-Tejada; José M. Celaya-Padilla; Hamurabi Gamboa-Rosales; Rafael Magallanes-Quintanar; Laura A. Zanella-Calzada (ISPRS Int. J. Geo Inf., 2018)

Analyzing Typical Mobile Gestures in mHealth Applications for Users with Down Syndrome. - Huizilopoztli Luna-García; Alfredo Mendoza-González; Ricardo Mendoza-González; Hamurabi Gamboa-Rosales; Jorge I. Galván-Tejada; José M. Celaya-Padilla; Carlos Eric Galván-Tejada; José G. Arceo-Olague; Arturo Moreno-Báez; Omero Alonso-González; Francisco Eneldo López-Monteagudo; Roberto Solis-Robles; et al. (Mob. Inf. Syst., 2018)

On the comparison of different kernel functionals and neighborhood geometry for nonlocal means filtering. - José Ismael de la Rosa Vargas; Jesús Villa Hernández; Joaquín Cortez; Hamurabi Gamboa-Rosales; José G. Arceo; Efrén González (Multim. Tools Appl., 2018)

Speed Bump Detection Using Accelerometric Features: A Genetic Algorithm Approach. - José M. Celaya-Padilla; Carlos Eric Galván-Tejada; Francisco Eneldo López-Monteagudo; Omero Alonso-González; Arturo Moreno-Báez; Antonio Martínez-Torteya; Jorge I. Galván-Tejada; José G. Arceo-Olague; Huizilopoztli Luna-García; Hamurabi Gamboa-Rosales (Sensors, 2018)

Children Detection on Passenger Seat Using UCD and IDP: An Initial Prototype. - William Castañeda Almaraz; Huizilopoztli Luna-García; José M. Celaya-Padilla; Hamurabi Gamboa-Rosales; Ricardo Mendoza-González; Jorge I. Galván-Tejada; Carlos Eric Galván-Tejada; Joyce S. A. Lozano-Aguilar; Roberto Solís-Robles (HCI-COLLAB, 2019)

Prevention of Diabetes Mellitus Through the Use of Mobile Technology (mHealth): Case Study. - M. Hazael Guerrero-Flores; Huizilopoztli Luna-García; Carlos Eric Galván-Tejada; Hamurabi Gamboa-Rosales; José M. Celaya-Padilla; Jorge I. Galván-Tejada; Alfredo Mendoza-González; Vanessa Alcalá-Rmz; Adan Valladares-Salgado; Miguel Cruz (HCI-COLLAB, 2019)

Alcohol Detection in a Car's Cab Using MQ3 and First Approaches to Sensing: Laboratory Tests. - Jonathan Samuel Romero-González; Huizilopoztli Luna-García; José M. Celaya-Padilla; Hamurabi Gamboa-Rosales; Jorge I. Galván-Tejada; Carlos Eric Galván-Tejada; José G. Arceo-Olague; Roberto Solis-Robles (HCI-COLLAB, 2019)

A strategy based in ICT for inclusion of a student with multiple disability into regular education: a case of educational rehabilitation. - Alfredo Mendoza-González; Huizilopoztli Luna-García; Ricardo Mendoza-González; Hamurabi Gamboa-Rosales; José G. Arceo-Olague (REHAB, 2019)

Depression Episodes Detection in Unipolar and Bipolar Patients: A Methodology with Feature Extraction and Feature Selection with Genetic Algorithms Using Activity Motion Signal as Information Source. - Carlos Eric Galván-Tejada; Laura A. Zanella-Calzada; Hamurabi Gamboa-Rosales; Jorge I. Galván-Tejada; Nubia M. Chávez-Lamas; Ma. del Carmen Gracia-Cortés; Rafael Magallanes-Quintanar; José M. Celaya-Padilla (Mob. Inf. Syst., 2019)

Autonomous Driving: Obtaining Direction Commands by Classifying Images Within a Simulation Platform. - Mario Iván Oliva de la Torre; Huizilopoztli Luna-García; José M. Celaya-Padilla; Hamurabi Gamboa-Rosales; Wilson J. Sarmiento; César A. Collazos 001 (HCI-COLLAB, 2020)

Estimation of Indoor Location Through Magnetic Field Data: An Approach Based On Convolutional Neural Networks. - Carlos Eric Galván-Tejada; Laura A. Zanella-Calzada; Antonio García-Domínguez; Rafael Magallanes-Quintanar; Huizilopoztli Luna-García; José M. Celaya-Padilla; Jorge I. Galván-Tejada; Alberto Vélez-Rodríguez; Hamurabi Gamboa-Rosales (ISPRS Int. J. Geo Inf., 2020)

Bark scaled oversampled WPT based speech recognition enhancement in noisy environments. - Navneet Upadhyay; Hamurabi Gamboa-Rosales (Int. J. Speech Technol., 2020)

Feature Selection Using Genetic Algorithms for the Generation of a Recognition and Classification of Children Activities Model Using Environmental Sound. - Antonio García-Domínguez; Carlos Eric Galván-Tejada; Laura A. Zanella-Calzada; Hamurabi Gamboa-Rosales; Jorge I. Galván-Tejada; José M. Celaya-Padilla; Huizilopoztli Luna-García; Rafael Magallanes-Quintanar (Mob. Inf. Syst., 2020)

Classification of Depressive Episodes Using Nighttime Data; a Multivariate and Univariate Analysis. - Julieta G. Rodríguez-Ruiz; Carlos Eric Galván-Tejada; Sodel Vázquez-Reyes; Jorge I. Galván-Tejada; Hamurabi Gamboa-Rosales (Program. Comput. Softw., 2020)

Deep artificial neural network based on environmental sound data for the generation of a children activity classification model. - Antonio García-Domínguez; Carlos Eric Galván-Tejada; Laura A. Zanella-Calzada; Hamurabi Gamboa-Rosales; Jorge I. Galván-Tejada; José M. Celaya-Padilla; Huizilopoztli Luna-García; José G. Arceo-Olague; Rafael Magallanes-Quintanar (PeerJ Comput. Sci., 2020)

Desarrollo de un Modelo 3D para un Sistema Infotainment. - Andreé M. Nava-García; Huizilopoztli Luna-García; José M. Celaya-Padilla; Manuel Haro-Márquez; Carlos Eric Galván-Tejada; Jorge I. Galván-Tejada; Hamurabi Gamboa-Rosales; Luis Alberto Flores-Chaires (Rev. Colomb. de Computación, 2020)

Evaluación de cuatro clasificadores para el reconocimiento de síndrome de muerte súbita del lactante utilizando ácidos grasos de cadena corta como fuente de información. - Karen E. Villagrana-Bañuelos; Laura A. Zanella-Calzada; Carlos Eric Galván-Tejada; Hamurabi Gamboa-Rosales; Jorge I. Galván-Tejada (Res. Comput. Sci., 2020)

Understanding the intellectual structure and evolution of Competitive Intelligence: a bibliometric analysis from 1984 to 2017. - José Ricardo López-Robles; Jose Ramon Otegi-Olaso; Igone Porto Gómez; Hamurabi Gamboa-Rosales; Nadia Karina Gamboa-Rosales (Technol. Anal. Strateg. Manag., 2020)

Desktop Application for Water Quality Prediction and Monitoring System Using ISO 9241-210 and Machine Learning Techniques. - Maximiliano Guzman-Fernandez; Huizilopoztli Luna-García; César A. Collazos 001; Wilson J. Sarmiento; Jorge I. Galván-Tejada; Hamurabi Gamboa-Rosales; Carlos Eric Galván-Tejada; José M. Celaya-Padilla; Misael Zambrano-de la Torre; J. Guadalupe Lara-Cisneros (HCI-COLLAB, 2021)

Breastfeeding and Caries. A Relationship Analysis to Develop a Computer-Assisted Diagnosis Using Random Forest. - Laura A. Zanella-Calzada; Carlos Eric Galván-Tejada; Nubia M. Chávez-Lamas; Karen E. Villagrana-Bañuelos; Jorge I. Galván-Tejada; Hamurabi Gamboa-Rosales (MCPR, 2021)

Likelihood Estimation and Wavelet Transformation Based Optimization for Minimization of Noisy Pixels. - Arvind Dhaka; Amita Nandal; Hamurabi Gamboa-Rosales; Hasmat Malik; Francisco Eneldo López-Monteagudo; Monica I. Martinez-Acuna; Satyendra Singh (IEEE Access, 2021)

A Technique for Securing Multiple Digital Images Based on 2D Linear Congruential Generator, Silver Ratio, and Galois Field. - Abdul Gaffar 001; Anand B. Joshi; Sonali Singh; Vishnu Narayan Mishra; Hamurabi Gamboa-Rosales; Liang Zhou; Arvind Dhaka; Lakshmi Narayan Mishra (IEEE Access, 2021)

6D-Chaotic System and 2D Fractional Discrete Cosine Transform Based Encryption of Biometric Templates. - Dhanesh Kumar; Anand B. Joshi; Sonali Singh; Vishnu Narayan Mishra; Hamurabi Gamboa-Rosales; Liang Zhou; Arvind Dhaka; Amita Nandal; Hasmat Malik; Satyendra Singh (IEEE Access, 2021)

Sistema de visión inteligente para monitorizar polinizadores (MonPo) usando aprendizaje profundo. - Daniela Bolaños-Flores; Tania Aglaé Ramírez del Real; Magali Arellano-Vázquez; Dagoberto Armenta-Medina; Guadalupe Obdulia Gutiérrez-Esparza; Hamurabi Gamboa-Rosales (Res. Comput. Sci., 2021)

Aprendizaje automático para la detección de cáncer de mama. - María de la Luz Escobar; José Ismael de la Rosa Vargas; Carlos Eric Galván-Tejada; Jorge I. Galván-Tejada; Hamurabi Gamboa-Rosales; José M. Celaya-Padilla (Res. Comput. Sci., 2021)

In-Vehicle Alcohol Detection Using Low-Cost Sensors and Genetic Algorithms to Aid in the Drinking and Driving Detection. - José M. Celaya-Padilla; Jonathan S. Romero-González; Carlos Eric Galván-Tejada; Jorge I. Galván-Tejada; Huizilopoztli Luna-García; José G. Arceo-Olague; Nadia Karina Gamboa-Rosales; Claudia Sifuentes-Gallardo; Antonio Martínez-Torteya; José Ismael de la Rosa Vargas; Hamurabi Gamboa-Rosales (Sensors, 2021)

C*-Algebra Valued Modular G-Metric Spaces with Applications in Fixed Point Theory. - Dipankar Das; Lakshmi Narayan Mishra; Vishnu Narayan Mishra; Hamurabi Gamboa-Rosales; Arvind Dhaka; Francisco Eneldo López-Monteagudo; Edgar González Fernández; Tania A. Ramirez-delReal (Symmetry, 2021)

A Fuzzy Optimization Technique for Multi-Objective Aspirational Level Fractional Transportation Problem. - Mukesh Kumar Sharma; Kamini; Nitesh Dhiman; Vishnu Narayan Mishra; Hamurabi Gamboa-Rosales; Arvind Dhaka; Amita Nandal; Edgar González Fernández; Tania A. Ramirez-delReal; Lakshmi Narayan Mishra (Symmetry, 2021)

Convolutional Neural Network for Monkeypox Detection. - Vanessa Alcalá-Rmz; Karen E. Villagrana-Bañuelos; José M. Celaya-Padilla; Jorge I. Galván-Tejada; Hamurabi Gamboa-Rosales; Carlos Eric Galván-Tejada (UCAmI, 2022)

Towards Esophagitis and Barret's Esophagus Endoscopic Images Classification: An Approach with Deep Learning Techniques. - Karen E. Villagrana-Bañuelos; Vanessa Alcalá-Rmz; José M. Celaya-Padilla; Jorge I. Galván-Tejada; Hamurabi Gamboa-Rosales; Carlos Eric Galván-Tejada (UCAmI, 2022)

Predicción de enfermedades cardíacas derivadas de diabetes, mediante algoritmos genéticos: caso de estudio. - Isamar Aparicio-Montelongo; José M. Celaya-Padilla; Huizilopoztli Luna-García; Carlos Eric Galván-Tejada; Jorge I. Galván-Tejada; Hamurabi Gamboa-Rosales (Res. Comput. Sci., 2022)

Detección de nefropatía como complicación en pacientes diabéticos de tipo II mediante el uso de la regresión logística. - Man Kit Liao-Li; José María Celaya-Padilla; Carlos Eric Galván-Tejada; Jorge I. Galván-Tejada; Huizilopoztli Luna-García; Hamurabi Gamboa-Rosales; Miguel Cruz (Res. Comput. Sci., 2022)

Aprendizaje automático para identificar episodios de esquizofrenias tratadas con clozapina. - Julieta G. Rodríguez-Ruiz; Carlos Eric Galván-Tejada; Jorge I. Galván-Tejada; Hamurabi Gamboa-Rosales; José M. Celaya-Padilla (Res. Comput. Sci., 2022)

Reconocimiento y detección de señales de tráfico mexicanas de tipo preventivas, restrictivas e informativas aplicando YOLOv4. - Daniela Bolaños-Flores; Hamurabi Gamboa-Rosales; José M. Celaya-Padilla; Tania Aglaé Ramírez del Real (Res. Comput. Sci., 2023)

Driver Identification Using Statistical Features of Motor Activity and Genetic Algorithms. - Carlos H. Espino-Salinas; Huizilopoztli Luna-García; José M. Celaya-Padilla; Jorge A. Morgan-Benita; Cesar Gonzalo Vera-Vásquez; Wilson J. Sarmiento; Carlos Eric Galván-Tejada; Jorge I. Galván-Tejada; Hamurabi Gamboa-Rosales; Klinge Orlando Villalba-Condori (Sensors, 2023)

Detection of Pedestrians in Reverse Camera Using Multimodal Convolutional Neural Networks. - Luis C. Reveles-Gomez; Huizilopoztli Luna-García; José M. Celaya-Padilla; Cristian Barría Huidobro; Hamurabi Gamboa-Rosales; Roberto Solis-Robles; José G. Arceo-Olague; Jorge I. Galván-Tejada; Carlos Eric Galván-Tejada; David Rondon; Klinge Orlando Villalba-Condori (Sensors, 2023)

Optimizing Autonomous Vehicle Control Through Deep Q-Learning: A Simulation-Based Approach with CARLA. - Jose J. Alvarado-Padilla; José M. Celaya-Padilla; Antonio Martínez-Torteya; Manuel A. Soto Murillo; Hamurabi Gamboa-Rosales; Nadia Karina Gamboa-Rosales (ARTIIS Workshops (1), 2024)

Lane Direction by Implementing Random Sampling Algorithms. - Alan C. Quezada-Villalobos; José M. Celaya-Padilla; Huizilopoztli Luna-García; Javier Saldívar; Luis Carlos Reveles-Gómez; Hamurabi Gamboa-Rosales; Juvenal Villanueva-Maldonado; Rafael Reveles (ARTIIS Workshops (1), 2024)

Data-Driven Autonomous System for Lane Keeping in a 1: 10 Scale Vehicle for Autonomous Driving. - Rafael Reveles-Martínez; José María Celaya-Padilla; Hamurabi Gamboa-Rosales; Uziel A. Mendoza-Saldívar; Diego A. Domínguez-Jaramillo; Marlon Chavez-Almaraz; Flabio Mireles-Delgado; Alan C. Quezada-Villalobos; Javier Saldívar (ARTIIS (2), 2024)

Annual Daily Irradiance Analysis of Clusters in Mexico by Machine Learning Algorithms. - Jared D. Salinas-González; Alejandra García-Hernández; David Riveros-Rosas; Adriana E. González-Cabrera; Alejandro Mauricio-González; Carlos Eric Galván-Tejada; Sodel Vázquez-Reyes; Hamurabi Gamboa-Rosales (Remote. Sens., 2024)

Analysis and Processing of Driver Behavior for Emotion Recognition. - Carlos H. Espino-Salinas; Huizilopoztli Luna-García; José M. Celaya-Padilla; Jorge A. Morgan-Benita; Ana Gabriela Sánchez Reyna; Jorge I. Galván-Tejada; Hamurabi Gamboa-Rosales (Inteligencia Artif., 2025)

Detection of ovarian cancer using a methodology with feature extraction and selection with genetic algorithms and machine learning. - Samara Acosta-Jiménez; Miguel M. Mendoza-Mendoza; Carlos Eric Galván-Tejada; Jorge I. Galván-Tejada; José M. Celaya-Padilla; Antonio García-Domínguez; Hamurabi Gamboa-Rosales; Roberto Solís-Robles (Netw. Model. Anal. Health Informatics Bioinform., 2025)