Blood Vessel Segmentation in Retinal Images Using Lattice Neural Networks. - Roberto Vega; Elizabeth Guevara; Luis Eduardo Falcón; Gildardo Sánchez-Ante; Humberto Sossa (MICAI (1), 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 (SOCO-CISIS-ICEUTE, 2013)

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 (CIARP, 2014)

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 (MCPR, 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)

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)

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)

Finding Effective Ways to (Machine) Learn fMRI-Based Classifiers from Multi-site Data. - Roberto Vega; Russell Greiner (MLCN/DLF/iMIMIC@MICCAI, 2018)

Sample efficient learning of image-based diagnostic classifiers via probabilistic labels. - Roberto Vega; Pouneh Gorji; Zichen Zhang 001; Xuebin Qin; Abhilash Rakkunedeth Hareendranathan; Jeevesh Kapur; Jacob L. Jaremko; Russell Greiner (AISTATS, 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 (EMBC, 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 (EMBC, 2021)

Sample Efficient Learning of Image-Based Diagnostic Classifiers Using Probabilistic Labels. - Roberto Vega; Pouneh Gorji; Zichen Zhang 001; Xuebin Qin; Abhilash Rakkunedeth Hareendranathan; Jeevesh Kapur; Jacob L. Jaremko; Russell Greiner (CoRR, 2021)

SIMLR: Machine Learning inside the SIR model for COVID-19 Forecasting. - Roberto Vega; Leonardo Flores; Russell Greiner (CoRR, 2021)

Domain-shift adaptation via linear transformations. - Roberto Vega; Russell Greiner (CoRR, 2022)

Semi-Counterfactual Risk Minimization Via Neural Networks. - Gholamali Aminian; Roberto Vega; Omar Rivasplata; Laura Toni; Miguel R. D. Rodrigues (CoRR, 2022)

Modeling and Forecasting COVID-19 Cases using Latent Subpopulations. - Roberto Vega; Zehra Shah; Pouria Ramazi; Russell Greiner (CoRR, 2023)

Overcoming barriers in the use of artificial intelligence in point of care ultrasound. - Roberto Vega; Masood Dehghan; Arun Nagdev; Brian Buchanan; Jeevesh Kapur; Jacob L. Jaremko; Dornoosh Zonoobi (npj Digit. Medicine, 2025)