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Roberto Vega
ORCID
Publication Activity (10 Years)
Years Active: 2013-2023
Publications (10 Years): 11
Top Topics
Neural Network
Retinal Vessel
Pattern Classification
Linear Transformations
Top Venues
CoRR
EMBC
SOCO-CISIS-ICEUTE
CIARP
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Publications
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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)