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Roberto Rosas-Romero
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2020 – today
- 2024
- [j19]Isabel Sarzo-Wabi, Daniel-Alejandro Galindo-Lazo, Roberto Rosas-Romero
:
Feature extraction and classification of static spiral tests to assist the detection of Parkinson's disease. Multim. Tools Appl. 83(15): 45921-45945 (2024) - [j18]Brenda Rangel-Olvera, Roberto Rosas-Romero
:
Detection and classification of skin burns on color images using multi-resolution clustering and the classification of reduced feature subsets. Multim. Tools Appl. 83(18): 54925-54949 (2024) - 2022
- [j17]Miguel Angel Jara Maldonado, Vicente Alarcón Aquino
, Roberto Rosas-Romero:
A new machine learning model based on the broad learning system and wavelets. Eng. Appl. Artif. Intell. 112: 104886 (2022) - 2021
- [j16]Gabriel Solana-Lavalle
, Roberto Rosas-Romero:
Analysis of voice as an assisting tool for detection of Parkinson's disease and its subsequent clinical interpretation. Biomed. Signal Process. Control. 66: 102415 (2021) - [j15]Brenda Rangel-Olvera, Roberto Rosas-Romero:
Detection and classification of burnt skin via sparse representation of signals by over-redundant dictionaries. Comput. Biol. Medicine 132: 104310 (2021) - [j14]Gabriel Solana-Lavalle
, Roberto Rosas-Romero
:
Classification of PPMI MRI scans with voxel-based morphometry and machine learning to assist in the diagnosis of Parkinson's disease. Comput. Methods Programs Biomed. 198: 105793 (2021) - 2020
- [j13]Miguel Angel Jara Maldonado
, Vicente Alarcón Aquino
, Roberto Rosas-Romero, Oleg Starostenko, Juan Manuel Ramírez-Cortés:
Transiting Exoplanet Discovery Using Machine Learning Techniques: A Survey. Earth Sci. Informatics 13(3): 573-600 (2020) - [j12]Edgar Guevara
, Jorge-Arturo Flores-Castro, Ke Peng, Dang Khoa Nguyen, Frédéric Lesage, Philippe Pouliot, Roberto Rosas-Romero:
Prediction of epileptic seizures using fNIRS and machine learning. J. Intell. Fuzzy Syst. 38(2): 2055-2068 (2020) - [j11]Roberto Rosas-Romero, Omar Lopez-Rincon, Oleg Starostenko
:
Fully automatic alpha matte extraction using artificial neural networks. Neural Comput. Appl. 32(11): 6843-6855 (2020) - [c17]Miguel Angel Jara Maldonado
, Vicente Alarcón Aquino
, Roberto Rosas-Romero
:
A Multiresolution Machine Learning Technique to Identify Exoplanets. MICAI (1) 2020: 50-64
2010 – 2019
- 2019
- [j10]Roberto Rosas-Romero, Edgar Guevara
, Ke Peng, Dang Khoa Nguyen, Frédéric Lesage, Philippe Pouliot, Wassim-Enrique Lima-Saad:
Prediction of epileptic seizures with convolutional neural networks and functional near-infrared spectroscopy signals. Comput. Biol. Medicine 111 (2019) - [j9]Oleg Starostenko, Claudia Cruz-Perez, Vicente Alarcón Aquino
, Roberto Rosas-Romero:
Real-time facial expression recognition using local appearance-based descriptors. J. Intell. Fuzzy Syst. 36(5): 5037-5049 (2019) - [c16]Roberto Rosas-Romero, Juan-Pablo Medina-Ochoa:
Learning Financial Time Series for Prediction of the Stock Exchange Market. CATA 2019: 418-427 - 2018
- [j8]Lizbeth Peralta-Malváez
, Omar Lopez-Rincon, David Rojas-Velazquez, Luis Oswaldo Valencia-Rosado, Roberto Rosas-Romero, Gibran Etcheverry
:
Newborn cry nonlinear features extraction and classification. J. Intell. Fuzzy Syst. 34(5): 3281-3289 (2018) - [j7]Jonathan Hernández-Capistrán
, Jorge Francisco Martínez-Carballido, Roberto Rosas-Romero:
False Positive Reduction by an Annular Model as a Set of Few Features for Microcalcification Detection to Assist Early Diagnosis of Breast Cancer. J. Medical Syst. 42(8): 134:1-134:9 (2018) - 2017
- [c15]Jorge-Arturo Flores-Castro, Ke Peng, Dang Khoa Nguyen, Frédéric Lesage
, Philippe Pouliot, Roberto Rosas-Romero, Edgar Guevara
:
Detecting epileptic seizures in advance using optical and electrical recordings. CONIELECOMP 2017: 1-4 - 2016
- [j6]Roberto Rosas-Romero
, Alejandro Díaz-Torres, Gibran Etcheverry
:
Forecasting of stock return prices with sparse representation of financial time series over redundant dictionaries. Expert Syst. Appl. 57: 37-48 (2016) - [c14]Roberto Rosas-Romero, Omar Lopez-Rincon, E. David Rojas, Nestor-Paul Jacobo:
Learning matte extraction in green screen images with MLP classifiers and the back-propagation algorithm. CONIELECOMP 2016: 148-155 - 2015
- [j5]Roberto Rosas-Romero, Jorge Martínez-Carballido, Jonathan Hernández-Capistrán
, Laura J. Uribe-Valencia:
A method to assist in the diagnosis of early diabetic retinopathy: Image processing applied to detection of microaneurysms in fundus images. Comput. Medical Imaging Graph. 44: 41-53 (2015) - [j4]Gloria Castro-Muñoz, Jorge Martínez-Carballido, Roberto Rosas-Romero
:
A human action recognition approach with a novel reduced feature set based on the natural domain knowledge of the human figure. Signal Process. Image Commun. 30: 190-205 (2015) - 2014
- [j3]Roberto Rosas-Romero, Hemant D. Tagare:
Segmentation of endocardium in ultrasound images based on sparse representation over learned redundant dictionaries. Eng. Appl. Artif. Intell. 29: 201-210 (2014) - [j2]Roberto Rosas-Romero:
Remote detection of forest fires from video signals with classifiers based on K-SVD learned dictionaries. Eng. Appl. Artif. Intell. 33: 1-11 (2014) - [c13]Oleg Starostenko, Roberto Rosas-Romero, Jorge Martínez-Carballido, Vicente Alarcón Aquino
, J. Alfredo Sánchez:
Recognizing Actions of Humans in Motion for Smart Environments. Intelligent Environments (Workshops) 2014: 4-15 - 2012
- [c12]Roberto Rosas-Romero
, Mauricio Javier Osorio Galindo, Pedro Bañuelos Sánchez:
Foreword. CONIELECOMP 2012 - [e1]Pedro Bañuelos Sánchez, Roberto Rosas-Romero, Mauricio Javier Osorio Galindo:
22nd International Conference on Electrical Communications and Computers, CONIELECOMP 2012, Cholula, Puebla, Mexico, February 27-29, 2012. IEEE 2012, ISBN 978-1-4577-1326-2 [contents] - 2011
- [c11]Roberto Rosas-Romero
, Oleg Starostenko, Jorge Rodríguez-Asomoza
, Vicente Alarcón Aquino
:
Multi-modal 3D Image Registration Based on Estimation of Non-rigid Deformation. MCPR 2011: 146-154
2000 – 2009
- 2009
- [c10]Oleg Starostenko, J. T. Tello-Martínez, Vicente Alarcón Aquino
, Jorge Rodríguez-Asomoza, Roberto Rosas-Romero:
An Extension of Least Squares Methods for Smoothing Oscillation of Motion Predicting Function. SCSS 2009: 285-290 - [c9]Vicente Alarcón Aquino, Oleg Starostenko, Roberto Rosas-Romero, Jorge Rodríguez-Asomoza, Otto Joel Paz-Luna, K. Vazquez-Muñoz, Leticia Flores-Pulido:
Mammographic Image Analysis for Breast Cancer Detection using Complex Wavelet Transforms and Morphological Operators. SIGMAP 2009: 79-85 - 2008
- [c8]Vicente Alarcón Aquino
, Carlos A. Oropeza-Clavel, Jorge Rodríguez-Asomoza, Oleg Starostenko, Roberto Rosas-Romero:
Intrusion Detection and Classification of Attacks in High-Level Network Protocols Using Recurrent Neural Networks. TeNe 2008: 129-134 - [c7]Marcelino Minero-Muñoz, Vicente Alarcón Aquino
, Jose Galdino García-Fierro, Roberto Rosas-Romero, Jorge Rodríguez-Asomoza, Oleg Starostenko:
Performance Evaluation of MPLS Path Restoration Schemes using OMNET++. TeNe 2008: 431-436 - 2007
- [c6]Alfonso Fernández-Vázquez, Gordana Jovanovic-Dolecek
, Roberto Rosas-Romero
:
Symbolic MAPLE-Based Design of Allpole Filters. CONIELECOMP 2007: 8 - [c5]Alfonso Fernández-Vázquez, Roberto Rosas-Romero
, Jorge Rodríguez-Asomoza
:
A New Method for Designing Flat Shelving and Peaking Filters Based on Allpass Filters. CONIELECOMP 2007: 10 - 2006
- [c4]Antonio Ashari Perez-Loyola, Roberto Rosas-Romero
:
Estimation of All-Pass Transfer Functions for Delay Equalization based on Least-Squares Minimization. CONIELECOMP 2006: 18 - 2005
- [j1]Jorge Rodríguez-Asomoza
, Roberto Rosas-Romero
, Salvador E. Lobato-Larios, Rubén Alejos Palomares, Juan Antonio Navarro Martínez, Celso Gutiérrez-Martínez:
Electric signal sensor using an electrooptic coherence modulator. IEEE Trans. Instrum. Meas. 54(1): 347-351 (2005) - [c3]David Jonathán Sandoval-Mercado, Roberto Rosas-Romero
:
Remote Car Starter. CONIELECOMP 2005: 154-158 - [c2]Héctor-Uriel Rodríguez-Ponce, Roberto Rosas-Romero
:
Distance Transform Approximation with a Multilayer Perceptron for 2D Image Recognition. CONIELECOMP 2005: 213-216 - [c1]Vicente Alarcón Aquino
, Edgar S. García-Treviño, Roberto Rosas-Romero
, José Federico Ramírez-Cruz:
Learning and Approximation of Chaotic Time Series Using Wavelet-Networks. ENC 2005: 182-188
Coauthor Index
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