Roberto Vega

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 11

Top Topics

Pattern Classification

Linear Transformations

Top Venues

SOCO-CISIS-ICEUTE

Publications

Roberto Vega, Zehra Shah, Pouria Ramazi, Russell Greiner
Modeling and Forecasting COVID-19 Cases using Latent Subpopulations. CoRR (2023)
Gholamali Aminian, Roberto Vega, Omar Rivasplata, Laura Toni, Miguel R. D. Rodrigues
Semi-Counterfactual Risk Minimization Via Neural Networks. CoRR (2022)
Roberto Vega, Russell Greiner
Domain-shift adaptation via linear transformations. CoRR (2022)
Roberto Vega, Pouneh Gorji, Zichen Vincent Zhang, Xuebin Qin, Abhilash Rakkunedeth Hareendranathan, Jeevesh Kapur, Jacob L. Jaremko, Russell Greiner
Sample efficient learning of image-based diagnostic classifiers via probabilistic labels. AISTATS (2021)
Roberto Vega, Pouneh Gorji, Zichen Vincent Zhang, Xuebin Qin, Abhilash Rakkunedeth Hareendranathan, Jeevesh Kapur, Jacob L. Jaremko, Russell Greiner
Sample Efficient Learning of Image-Based Diagnostic Classifiers Using Probabilistic Labels. CoRR (2021)
Atefeh Shahroudnejad, Roberto Vega, Amir Forouzandeh, Sharanya Balachandran, Jacob L. Jaremko, Michelle Noga, Abhilash Rakkunedeth Hareendranathan, Jeevesh Kapur, Kumaradevan Punithakumar
Thyroid Nodule Segmentation and Classification Using Deep Convolutional Neural Network and Rule-based Classifiers. EMBC (2021)
Rajshree Daulatabad, Roberto Vega, Jacob L. Jaremko, Jeevesh Kapur, Abhilash Rakkunedeth Hareendranathan, Kumaradevan Punithakumar
Integrating User-Input into Deep Convolutional Neural Networks for Thyroid Nodule Segmentation. EMBC (2021)
Roberto Vega, Leonardo Flores, Russell Greiner
SIMLR: Machine Learning inside the SIR model for COVID-19 Forecasting. CoRR (2021)
Roberto Vega, Russell Greiner
Finding Effective Ways to (Machine) Learn fMRI-Based Classifiers from Multi-site Data. MLCN/DLF/iMIMIC@MICCAI (2018)
Roberto Vega, Touqir Sajed, Kory Wallace Mathewson, Kriti Khare, Patrick M. Pilarski, Russell Greiner, Gildardo Sánchez-Ante, Javier Mauricio Antelis
Assessment of feature selection and classification methods for recognizing motor imagery tasks from electroencephalographic signals. Artif. Intell. Res. 6 (1) (2017)
Ricardo Ocampo-Vega, Gildardo Sánchez-Ante, Marco A. de Luna, Roberto Vega, Luis E. Falcón-Morales, Humberto Sossa
Improving pattern classification of DNA microarray data by using PCA and logistic regression. Intell. Data Anal. 20 (s1) (2016)
Roberto Vega, Gildardo Sánchez-Ante, Luis Falcón-Morales, Humberto Sossa, Elizabeth Guevara
Retinal vessel extraction using Lattice Neural Networks with dendritic processing. Comput. Biol. Medicine 58 (2015)
Leonardo Ojeda, Roberto Vega, Luis Eduardo Falcón, Gildardo Sánchez-Ante, Humberto Sossa, Javier Mauricio Antelis
Classification of Hand Movements from Non-invasive Brain Signals Using Lattice Neural Networks with Dendritic Processing. MCPR (2015)
Ricardo Ocampo-Vega, Marco A. de Luna, Roberto Vega, Gildardo Sánchez-Ante, Luis Falcón-Morales, Humberto Sossa
Pattern Analysis in DNA Microarray Data through PCA-Based Gene Selection. CIARP (2014)
Roberto Vega, Elizabeth Guevara, Luis Eduardo Falcón, Gildardo Sánchez-Ante, Humberto Sossa
Blood Vessel Segmentation in Retinal Images Using Lattice Neural Networks. MICAI (1) (2013)
Héctor Quintián-Pardo, Roberto Vega, Vicente Vera, Ignacio Aliaga, Cristina González Losada, Emilio Corchado, Fanny Klett
Soft Computing Techniques for Skills Assessment of Highly Qualified Personnel. SOCO-CISIS-ICEUTE (2013)