Distance Transform Approximation with a Multilayer Perceptron for 2D Image Recognition. - Héctor-Uriel Rodríguez-Ponce; Roberto Rosas-Romero (CONIELECOMP, 2005)

Remote Car Starter. - David Jonathán Sandoval-Mercado; Roberto Rosas-Romero (CONIELECOMP, 2005)

Learning and Approximation of Chaotic Time Series Using Wavelet-Networks. - Vicente Alarcón Aquino; Edgar S. García-Treviño; Roberto Rosas-Romero; José Federico Ramírez-Cruz (ENC, 2005)

Electric signal sensor using an electrooptic coherence modulator. - Jorge Rodríguez-Asomoza; Roberto Rosas-Romero; Salvador E. Lobato-Larios; Rubén Alejos Palomares; Juan Antonio Navarro Martínez; Celso Gutiérrez-Martínez (IEEE Trans. Instrum. Meas., 2005)

Estimation of All-Pass Transfer Functions for Delay Equalization based on Least-Squares Minimization. - Antonio Ashari Perez-Loyola; Roberto Rosas-Romero (CONIELECOMP, 2006)

Symbolic MAPLE-Based Design of Allpole Filters. - Alfonso Fernández-Vázquez; Gordana Jovanovic-Dolecek; Roberto Rosas-Romero (CONIELECOMP, 2007)

A New Method for Designing Flat Shelving and Peaking Filters Based on Allpass Filters. - Alfonso Fernández-Vázquez; Roberto Rosas-Romero; Jorge Rodríguez-Asomoza (CONIELECOMP, 2007)

Intrusion Detection and Classification of Attacks in High-Level Network Protocols Using Recurrent Neural Networks. - Vicente Alarcón Aquino; Carlos A. Oropeza-Clavel; Jorge Rodríguez-Asomoza; Oleg Starostenko; Roberto Rosas-Romero (TeNe, 2008)

Performance Evaluation of MPLS Path Restoration Schemes using OMNET++. - Marcelino Minero-Muñoz; Vicente Alarcón Aquino; Jose Galdino García-Fierro; Roberto Rosas-Romero; Jorge Rodríguez-Asomoza; Oleg Starostenko (TeNe, 2008)

An Extension of Least Squares Methods for Smoothing Oscillation of Motion Predicting Function. - Oleg Starostenko; J. T. Tello-Martínez; Vicente Alarcón Aquino; Jorge Rodríguez-Asomoza; Roberto Rosas-Romero (SCSS, 2009)

Mammographic Image Analysis for Breast Cancer Detection using Complex Wavelet Transforms and Morphological Operators. - Vicente Alarcón Aquino; Oleg Starostenko; Roberto Rosas-Romero; Jorge Rodríguez-Asomoza; Otto Joel Paz-Luna; K. Vazquez-Muñoz; Leticia Flores-Pulido (SIGMAP, 2009)

Multi-modal 3D Image Registration Based on Estimation of Non-rigid Deformation. - Roberto Rosas-Romero; Oleg Starostenko; Jorge Rodríguez-Asomoza; Vicente Alarcón Aquino (MCPR, 2011)

Foreword. - Roberto Rosas-Romero; Mauricio Javier Osorio Galindo; Pedro Bañuelos Sánchez (CONIELECOMP, 2012)

Recognizing Actions of Humans in Motion for Smart Environments. - Oleg Starostenko; Roberto Rosas-Romero; Jorge Martínez-Carballido; Vicente Alarcón Aquino; J. Alfredo Sánchez 001 (Intelligent Environments (Workshops), 2014)

Remote detection of forest fires from video signals with classifiers based on K-SVD learned dictionaries. - Roberto Rosas-Romero (Eng. Appl. Artif. Intell., 2014)

Segmentation of endocardium in ultrasound images based on sparse representation over learned redundant dictionaries. - Roberto Rosas-Romero; Hemant D. Tagare (Eng. Appl. Artif. Intell., 2014)

A method to assist in the diagnosis of early diabetic retinopathy: Image processing applied to detection of microaneurysms in fundus images. - Roberto Rosas-Romero; Jorge Martínez-Carballido; Jonathan Hernández-Capistrán; Laura J. Uribe-Valencia (Comput. Medical Imaging Graph., 2015)

A human action recognition approach with a novel reduced feature set based on the natural domain knowledge of the human figure. - Gloria Castro-Muñoz; Jorge Martínez-Carballido; Roberto Rosas-Romero (Signal Process. Image Commun., 2015)

Learning matte extraction in green screen images with MLP classifiers and the back-propagation algorithm. - Roberto Rosas-Romero; Omar Lopez-Rincon; E. David Rojas; Nestor-Paul Jacobo (CONIELECOMP, 2016)

Forecasting of stock return prices with sparse representation of financial time series over redundant dictionaries. - Roberto Rosas-Romero; Alejandro Díaz-Torres; Gibran Etcheverry (Expert Syst. Appl., 2016)

Detecting epileptic seizures in advance using optical and electrical recordings. - Jorge-Arturo Flores-Castro; Ke Peng; Dang Khoa Nguyen; Frédéric Lesage; Philippe Pouliot; Roberto Rosas-Romero; Edgar Guevara (CONIELECOMP, 2017)

Newborn cry nonlinear features extraction and classification. - Lizbeth Peralta-Malváez; Omar Lopez-Rincon; David Rojas-Velazquez; Luis Oswaldo Valencia-Rosado; Roberto Rosas-Romero; Gibran Etcheverry (J. Intell. Fuzzy Syst., 2018)

False Positive Reduction by an Annular Model as a Set of Few Features for Microcalcification Detection to Assist Early Diagnosis of Breast Cancer. - Jonathan Hernández-Capistrán; Jorge Francisco Martínez-Carballido; Roberto Rosas-Romero (J. Medical Syst., 2018)

Learning Financial Time Series for Prediction of the Stock Exchange Market. - Roberto Rosas-Romero; Juan-Pablo Medina-Ochoa (CATA, 2019)

Prediction of epileptic seizures with convolutional neural networks and functional near-infrared spectroscopy signals. - Roberto Rosas-Romero; Edgar Guevara; Ke Peng; Dang Khoa Nguyen; Frédéric Lesage; Philippe Pouliot; Wassim-Enrique Lima-Saad (Comput. Biol. Medicine, 2019)

Real-time facial expression recognition using local appearance-based descriptors. - Oleg Starostenko; Claudia Cruz-Perez; Vicente Alarcón Aquino; Roberto Rosas-Romero (J. Intell. Fuzzy Syst., 2019)

A Multiresolution Machine Learning Technique to Identify Exoplanets. - Miguel Angel Jara Maldonado; Vicente Alarcón Aquino; Roberto Rosas-Romero (MICAI (1), 2020)

Transiting Exoplanet Discovery Using Machine Learning Techniques: A Survey. - Miguel Angel Jara Maldonado; Vicente Alarcón Aquino; Roberto Rosas-Romero; Oleg Starostenko; Juan Manuel Ramírez-Cortés (Earth Sci. Informatics, 2020)

Prediction of epileptic seizures using fNIRS and machine learning. - Edgar Guevara; Jorge-Arturo Flores-Castro; Ke Peng; Dang Khoa Nguyen; Frédéric Lesage; Philippe Pouliot; Roberto Rosas-Romero (J. Intell. Fuzzy Syst., 2020)

Fully automatic alpha matte extraction using artificial neural networks. - Roberto Rosas-Romero; Omar Lopez-Rincon; Oleg Starostenko (Neural Comput. Appl., 2020)

Analysis of voice as an assisting tool for detection of Parkinson's disease and its subsequent clinical interpretation. - Gabriel Solana-Lavalle; Roberto Rosas-Romero (Biomed. Signal Process. Control., 2021)

Detection and classification of burnt skin via sparse representation of signals by over-redundant dictionaries. - Brenda Rangel-Olvera; Roberto Rosas-Romero (Comput. Biol. Medicine, 2021)

Classification of PPMI MRI scans with voxel-based morphometry and machine learning to assist in the diagnosis of Parkinson's disease. - Gabriel Solana-Lavalle; Roberto Rosas-Romero (Comput. Methods Programs Biomed., 2021)

A new machine learning model based on the broad learning system and wavelets. - Miguel Angel Jara Maldonado; Vicente Alarcón Aquino; Roberto Rosas-Romero (Eng. Appl. Artif. Intell., 2022)

Detection and classification of skin burns on color images using multi-resolution clustering and the classification of reduced feature subsets. - Brenda Rangel-Olvera; Roberto Rosas-Romero (Multim. Tools Appl., 2024)

Feature extraction and classification of static spiral tests to assist the detection of Parkinson's disease. - Isabel Sarzo-Wabi; Daniel-Alejandro Galindo-Lazo; Roberto Rosas-Romero (Multim. Tools Appl., 2024)