Roberto Vega

According to our database, Roberto Vega authored at least 16 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Modeling and Forecasting COVID-19 Cases using Latent Subpopulations.

Roberto Vega, Zehra Shah, Pouria Ramazi, Russell Greiner

CoRR, 2023

2022

Semi-Counterfactual Risk Minimization Via Neural Networks.

Gholamali Aminian, Roberto Vega, Omar Rivasplata, Laura Toni, Miguel R. D. Rodrigues

CoRR, 2022

Domain-shift adaptation via linear transformations.

Roberto Vega, Russell Greiner

CoRR, 2022

2021

SIMLR: Machine Learning inside the SIR model for COVID-19 Forecasting.

Roberto Vega, Leonardo Flores, Russell Greiner

CoRR, 2021

Sample Efficient Learning of Image-Based Diagnostic Classifiers Using Probabilistic Labels.

Roberto Vega, Pouneh Gorji, Zichen Zhang, Xuebin Qin, Abhilash Rakkunedeth Hareendranathan, Jeevesh Kapur, Jacob L. Jaremko, Russell Greiner

CoRR, 2021

Thyroid Nodule Segmentation and Classification Using Deep Convolutional Neural Network and Rule-based Classifiers.

Atefeh Shahroudnejad, Roberto Vega, Amir Forouzandeh, Sharanya Balachandran, Jacob L. Jaremko, Michelle Noga, Abhilash Rakkunedeth Hareendranathan, Jeevesh Kapur, Kumaradevan Punithakumar

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Integrating User-Input into Deep Convolutional Neural Networks for Thyroid Nodule Segmentation.

Rajshree Daulatabad, Roberto Vega, Jacob L. Jaremko, Jeevesh Kapur, Abhilash Rakkunedeth Hareendranathan, Kumaradevan Punithakumar

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Sample efficient learning of image-based diagnostic classifiers via probabilistic labels.

Roberto Vega, Pouneh Gorji, Zichen Zhang, Xuebin Qin, Abhilash Rakkunedeth Hareendranathan, Jeevesh Kapur, Jacob L. Jaremko, Russell Greiner

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2018

Finding Effective Ways to (Machine) Learn fMRI-Based Classifiers from Multi-site Data.

Roberto Vega, Russell Greiner

Proceedings of the Understanding and Interpreting Machine Learning in Medical Image Computing Applications, 2018

2017

Assessment of feature selection and classification methods for recognizing motor imagery tasks from electroencephalographic signals.

Roberto Vega, Touqir Sajed, Kory Wallace Mathewson, Kriti Khare, Patrick M. Pilarski, Russell Greiner, Gildardo Sánchez-Ante, Javier Mauricio Antelis

Artif. Intell. Res., 2017

2016

Improving pattern classification of DNA microarray data by using PCA and logistic regression.

Ricardo Ocampo-Vega, Gildardo Sánchez-Ante, Marco A. de Luna, Roberto Vega, Luis E. Falcón-Morales, Humberto Sossa

Intell. Data Anal., 2016

2015

Retinal vessel extraction using Lattice Neural Networks with dendritic processing.

Roberto Vega, Gildardo Sánchez-Ante, Luis Falcón-Morales, Humberto Sossa, Elizabeth Guevara

Comput. Biol. Medicine, 2015

Classification of Hand Movements from Non-invasive Brain Signals Using Lattice Neural Networks with Dendritic Processing.

Leonardo Ojeda, Roberto Vega, Luis Eduardo Falcón, Gildardo Sánchez-Ante, Humberto Sossa, Javier Mauricio Antelis

Proceedings of the Pattern Recognition - 7th Mexican Conference, 2015

2014

Pattern Analysis in DNA Microarray Data through PCA-Based Gene Selection.

Ricardo Ocampo-Vega, Marco A. de Luna, Roberto Vega, Gildardo Sánchez-Ante, Luis Falcón-Morales, Humberto Sossa

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014

2013

Soft Computing Techniques for Skills Assessment of Highly Qualified Personnel.

Héctor Quintián-Pardo, Roberto Vega, Vicente Vera, Ignacio Aliaga, Cristina González Losada, Emilio Corchado, Fanny Klett

Proceedings of the International Joint Conference SOCO'13-CISIS'13-ICEUTE'13, 2013

Blood Vessel Segmentation in Retinal Images Using Lattice Neural Networks.

Roberto Vega, Elizabeth Guevara, Luis Eduardo Falcón, Gildardo Sánchez-Ante, Humberto Sossa

Proceedings of the Advances in Artificial Intelligence and Its Applications, 2013