Roberto Vega

Roberto Vega

University of Alberta

H-index: 11

North America-Canada

About Roberto Vega

Roberto Vega, With an exceptional h-index of 11 and a recent h-index of 10 (since 2020), a distinguished researcher at University of Alberta, specializes in the field of Computer Science, Machine learning, medical informatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Modeling and Forecasting COVID-19 Cases using Latent Subpopulations

Semi-Counterfactual Risk Minimization Via Neural Networks

Domain-shift adaptation via linear transformations

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

Machine learning for medical applications with limited data: Incorporating domain expertise and addressing domain-shift

Thyroid nodule segmentation and classification using deep convolutional neural network and rule-based classifiers

Integrating user-input into deep convolutional neural networks for thyroid nodule segmentation

Accurate long-range forecasting of COVID-19 mortality in the USA

Roberto Vega Information

University

Position

___

Citations(all)

545

Citations(since 2020)

386

Cited By

321

hIndex(all)

11

hIndex(since 2020)

10

i10Index(all)

13

i10Index(since 2020)

10

Email

University Profile Page

Google Scholar

Roberto Vega Skills & Research Interests

Computer Science

Machine learning

medical informatics

Top articles of Roberto Vega

Modeling and Forecasting COVID-19 Cases using Latent Subpopulations

arXiv preprint arXiv:2302.04829

2023/2/9

Roberto Vega
Roberto Vega

H-Index: 7

Zehra Shah
Zehra Shah

H-Index: 1

Semi-Counterfactual Risk Minimization Via Neural Networks

arXiv preprint arXiv:2209.07148

2022/9/15

Domain-shift adaptation via linear transformations

arXiv preprint arXiv:2201.05282

2022/1/14

Roberto Vega
Roberto Vega

H-Index: 7

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

Forecasting

2022/1/13

Roberto Vega
Roberto Vega

H-Index: 7

Machine learning for medical applications with limited data: Incorporating domain expertise and addressing domain-shift

2022

Thyroid nodule segmentation and classification using deep convolutional neural network and rule-based classifiers

2021/11/1

Integrating user-input into deep convolutional neural networks for thyroid nodule segmentation

2021/11/1

Roberto Vega
Roberto Vega

H-Index: 7

Jeevesh Kapur
Jeevesh Kapur

H-Index: 9

Accurate long-range forecasting of COVID-19 mortality in the USA

Scientific reports

2021/7/5

Roberto Vega
Roberto Vega

H-Index: 7

Hao Wang
Hao Wang

H-Index: 29

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

2021/3/18

Prediction of Seizures Using Canine Eeg Data and Deep Learning Techniques: A Comparison Between Convolutional, And Recurrent Neural Networks

2020

Roberto Vega
Roberto Vega

H-Index: 7

See List of Professors in Roberto Vega University(University of Alberta)

Co-Authors

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