Roberto Rosas-Romero

发表

Prediction of epileptic seizures using fNIRS and machine learning

Frédéric Lesage, Edgar Guevara, Jorge-Arturo Flores-Castro, 2020, J. Intell. Fuzzy Syst..

Classification of PPMI MRI scans with voxel-based morphometry and machine learning to assist in the diagnosis of Parkinson's disease

Roberto Rosas-Romero, Gabriel Solana-Lavalle, R. Rosas-Romero, 2020, Comput. Methods Programs Biomed..

Multi-modal 3D Image Registration Based on Estimation of Non-rigid Deformation

Oleg Starostenko, Vicente Alarcón Aquino, Roberto Rosas-Romero, 2011, MCPR.

Fully automatic alpha matte extraction using artificial neural networks

Oleg Starostenko, Roberto Rosas-Romero, Omar Lopez-Rincon, 2019, Neural Computing and Applications.

False Positive Reduction by an Annular Model as a Set of Few Features for Microcalcification Detection to Assist Early Diagnosis of Breast Cancer

Roberto Rosas-Romero, Jorge Martínez-Carballido, Jonathan Hernández-Capistrán, 2018, Journal of Medical Systems.

A human action recognition approach with a novel reduced feature set based on the natural domain knowledge of the human figure

Roberto Rosas-Romero, Gloria Castro-Muñoz, Jorge Martínez-Carballido, 2015, Signal Process. Image Commun..

Real-time facial expression recognition using local appearance-based descriptors

Oleg Starostenko, Vicente Alarcón Aquino, Roberto Rosas-Romero, 2019, J. Intell. Fuzzy Syst..

Estimation of All-Pass Transfer Functions for Delay Equalization based on Least-Squares Minimization

Roberto Rosas-Romero, Antonio Ashari Perez-Loyola, 2006, 16th International Conference on Electronics, Communications and Computers (CONIELECOMP'06).

Distance transform approximation with a multilayer perceptron for 2D image recognition

Roberto Rosas-Romero, Héctor-Uriel Rodríguez-Ponce, 2005, 15th International Conference on Electronics, Communications and Computers (CONIELECOMP'05).

Remote detection of forest fires from video signals with classifiers based on K-SVD learned dictionaries

Roberto Rosas-Romero, R. Rosas-Romero, 2014, Eng. Appl. Artif. Intell..

An Extension of Least Squares Methods for Smoothing Oscillation of Motion Predicting Function

Oleg Starostenko, Vicente Alarcón Aquino, Roberto Rosas-Romero, 2009, SCSS.

Forecasting of stock return prices with sparse representation of financial time series over redundant dictionaries

Roberto Rosas-Romero, Gibran Etcheverry, Alejandro Díaz-Torres, 2016, Expert Syst. Appl..

Performance Evaluation of MPLS Path Restoration Schemes using OMNET++

Oleg Starostenko, Vicente Alarcón Aquino, Roberto Rosas-Romero, 2008, TeNe.

Mammographic Image Analysis for Breast Cancer Detection using Complex Wavelet Transforms and Morphological Operators

Oleg Starostenko, Vicente Alarcón Aquino, Leticia Flores-Pulido, 2018, SIGMAP.

Remote car starter

Roberto Rosas-Romero, David Jonathán Sandoval-Mercado, 2005, 15th International Conference on Electronics, Communications and Computers (CONIELECOMP'05).

A method to assist in the diagnosis of early diabetic retinopathy: Image processing applied to detection of microaneurysms in fundus images

Roberto Rosas-Romero, Laura J. Uribe-Valencia, Jorge Martínez-Carballido, 2015, Comput. Medical Imaging Graph..

Learning and approximation of chaotic time series using wavelet-networks

Edgar S. García-Treviño, Vicente Alarcón Aquino, Roberto Rosas-Romero, 2005, Sixth Mexican International Conference on Computer Science (ENC'05).

Detecting epileptic seizures in advance using optical and electrical recordings

Jorge-Arturo Flores-Castro, Ke Peng, Dang Khoa Nguyen, 2017, 2017 International Conference on Electronics, Communications and Computers (CONIELECOMP).

Recognizing Actions of Humans in Motion for Smart Environments

Oleg Starostenko, J. Alfredo Sánchez, Vicente Alarcón Aquino, 2014, Intelligent Environments.

Electric signal sensor using an electrooptic coherence modulator

Roberto Rosas-Romero, Jorge Rodríguez-Asomoza, Juan Antonio Navarro Martínez, 2005, IEEE Transactions on Instrumentation and Measurement.

A New Method for Designing Flat Shelving and Peaking Filters Based on Allpass Filters

Alfonso Fernández-Vázquez, Roberto Rosas-Romero, Jorge Rodríguez-Asomoza, 2007, 17th International Conference on Electronics, Communications and Computers (CONIELECOMP'07).

Learning Financial Time Series for Prediction of the Stock Exchange Market

Roberto Rosas-Romero, Juan-Pablo Medina-Ochoa, 2019, CATA.

Prediction of epileptic seizures with convolutional neural networks and functional near-infrared spectroscopy signals

Ke Peng, Dang Khoa Nguyen, Philippe Pouliot, 2019, Comput. Biol. Medicine.

Intrusion Detection and Classification of Attacks in High-Level Network Protocols Using Recurrent Neural Networks

Oleg Starostenko, Vicente Alarcón Aquino, Roberto Rosas-Romero, 2008, TeNe.

Learning matte extraction in green screen images with MLP classifiers and the back-propagation algorithm

Roberto Rosas-Romero, Omar Lopez-Rincon, E. David Rojas, 2016, 2016 International Conference on Electronics, Communications and Computers (CONIELECOMP).

Automatic Parkinson disease detection at early stages as a pre-diagnosis tool by using classifiers and a small set of vocal features

Roberto Rosas-Romero, Gabriel Solana-Lavalle, Juan-Carlos Galán-Hernández, 2020 .

A novel reduced feature set and a hierarchical system of classifiers for human action recognition based on the natural domain knowledge of the human figure

Roberto Rosas-Romero, Jorge Martinez-Carballido, Gloria Castro-Munoz, 2014, 2014 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC).

Symbolic MAPLE-Based Design of Allpole Filters

Alfonso Fernández-Vázquez, Gordana Jovanovic-Dolecek, Roberto Rosas-Romero, 2007, 17th International Conference on Electronics, Communications and Computers (CONIELECOMP'07).

Transiting Exoplanet Discovery Using Machine Learning Techniques: A Survey

Oleg Starostenko, Vicente Alarcón Aquino, Roberto Rosas-Romero, 2020, Earth Science Informatics.

A Multiresolution Machine Learning Technique to Identify Exoplanets

Vicente Alarcón Aquino, Roberto Rosas-Romero, Miguel Angel Jara Maldonado, 2020, MICAI.

Newborn cry nonlinear features extraction and classification

Roberto Rosas-Romero, Lizbeth Peralta-Malváez, Gibran Etcheverry, 2018, J. Intell. Fuzzy Syst..

Detection of microcalcifications in digital mammograms using the dual-tree complex wavelet transfo

Oleg Starostenko, Vicente Alarcon-Aquino, Roberto Rosas-Romero, 2009 .

Novel Algorithms and Techniques in Telecommunications and Networking

Oleg Starostenko, Vicente Alarcon-Aquino, Roberto Rosas-Romero, 2010 .

Electric Signal Sensor Using an Electrooptic

Roberto Rosas-Romero, Jorge Rodriguez-Asomoza, Celso Gutiérrez-Martínez, 2005 .

Segmentation of endocardium in ultrasound images based on sparse representation over learned redundant dictionaries

Hemant D. Tagare, Roberto Rosas-Romero, H. Tagare, 2014, Eng. Appl. Artif. Intell..

Detecting and Classifying Attacks in Computer Networks Using Feed-Forward and Elman Neural Networks

Vicente Alarcon-Aquino, Roberto Rosas-Romero, J. A. Mejia-Sanchez, 2006 .

Detection and classification of burnt skin via sparse representation of signals by over-redundant dictionaries

Roberto Rosas-Romero, Brenda Rangel-Olvera, R. Rosas-Romero, 2021, Comput. Biol. Medicine.

Analysis of voice as an assisting tool for detection of Parkinson's disease and its subsequent clinical interpretation

Roberto Rosas-Romero, Gabriel Solana-Lavalle, R. Rosas-Romero, 2021, Biomed. Signal Process. Control..