Roberto Vega - RankMe

17 papers A 1C 1Journal 9Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Overcoming barriers in the use of artificial intelligence in point of care ultrasound. npj Digit. Medicine Roberto Vega, Masood Dehghan, Arun Nagdev, Brian Buchanan, Jeevesh Kapur, Jacob L. Jaremko, Dornoosh Zonoobi
2023	J	`jnl`	Modeling and Forecasting COVID-19 Cases using Latent Subpopulations. CoRR Roberto Vega, Zehra Shah, Pouria Ramazi, Russell Greiner
2022	J	`jnl`	Domain-shift adaptation via linear transformations. CoRR Roberto Vega, Russell Greiner
2022	J	`jnl`	Semi-Counterfactual Risk Minimization Via Neural Networks. CoRR Gholamali Aminian, Roberto Vega, Omar Rivasplata, Laura Toni, Miguel R. D. Rodrigues
2021	—	`conf`	Integrating User-Input into Deep Convolutional Neural Networks for Thyroid Nodule Segmentation. EMBC Rajshree Daulatabad, Roberto Vega, Jacob L. Jaremko, Jeevesh Kapur, Abhilash Rakkunedeth Hareendranathan, Kumaradevan Punithakumar
2021	J	`jnl`	SIMLR: Machine Learning inside the SIR model for COVID-19 Forecasting. CoRR Roberto Vega, Leonardo Flores, Russell Greiner
2021	J	`jnl`	Sample Efficient Learning of Image-Based Diagnostic Classifiers Using Probabilistic Labels. CoRR Roberto Vega, Pouneh Gorji, Zichen Zhang, Xuebin Qin, Abhilash Rakkunedeth Hareendranathan, Jeevesh Kapur, Jacob L. Jaremko, Russell Greiner
2021	A	`conf`	Sample efficient learning of image-based diagnostic classifiers via probabilistic labels. AISTATS Roberto Vega, Pouneh Gorji, Zichen Zhang, Xuebin Qin, Abhilash Rakkunedeth Hareendranathan, Jeevesh Kapur, Jacob L. Jaremko, Russell Greiner
2021	—	`conf`	Thyroid Nodule Segmentation and Classification Using Deep Convolutional Neural Network and Rule-based Classifiers. EMBC Atefeh Shahroudnejad, Roberto Vega, Amir Forouzandeh, Sharanya Balachandran, Jacob L. Jaremko, Michelle Noga, Abhilash Rakkunedeth Hareendranathan, Jeevesh Kapur, Kumaradevan Punithakumar
2018	—	`conf`	Finding Effective Ways to (Machine) Learn fMRI-Based Classifiers from Multi-site Data. MLCN/DLF/iMIMIC@MICCAI Roberto Vega, Russell Greiner
2017	J	`jnl`	Assessment of feature selection and classification methods for recognizing motor imagery tasks from electroencephalographic signals. Artif. Intell. Res. Roberto Vega, Touqir Sajed, Kory Wallace Mathewson, Kriti Khare, Patrick M. Pilarski, Russell Greiner, Gildardo Sánchez-Ante, Javier Mauricio Antelis
2016	J	`jnl`	Improving pattern classification of DNA microarray data by using PCA and logistic regression. Intell. Data Anal. Ricardo Ocampo-Vega, Gildardo Sánchez-Ante, Marco A. de Luna, Roberto Vega, Luis E. Falcón-Morales, Humberto Sossa
2015	—	`conf`	Classification of Hand Movements from Non-invasive Brain Signals Using Lattice Neural Networks with Dendritic Processing. MCPR Leonardo Ojeda, Roberto Vega, Luis Eduardo Falcón, Gildardo Sánchez-Ante, Humberto Sossa, Javier Mauricio Antelis
2015	J	`jnl`	Retinal vessel extraction using Lattice Neural Networks with dendritic processing. Comput. Biol. Medicine Roberto Vega, Gildardo Sánchez-Ante, Luis Falcón-Morales, Humberto Sossa, Elizabeth Guevara
2014	C	`conf`	Pattern Analysis in DNA Microarray Data through PCA-Based Gene Selection. CIARP Ricardo Ocampo-Vega, Marco A. de Luna, Roberto Vega, Gildardo Sánchez-Ante, Luis Falcón-Morales, Humberto Sossa
2013	—	`conf`	Blood Vessel Segmentation in Retinal Images Using Lattice Neural Networks. MICAI (1) Roberto Vega, Elizabeth Guevara, Luis Eduardo Falcón, Gildardo Sánchez-Ante, Humberto Sossa
2013	—	`conf`	Soft Computing Techniques for Skills Assessment of Highly Qualified Personnel. SOCO-CISIS-ICEUTE Héctor Quintián-Pardo, Roberto Vega, Vicente Vera, Ignacio Aliaga, Cristina González Losada, Emilio Corchado, Fanny Klett