Nallig Leal Narvaez

Universidad Autónoma del Caribe

H-index: 10

Latin America-Colombia

About Nallig Leal Narvaez

Nallig Leal Narvaez, With an exceptional h-index of 10 and a recent h-index of 8 (since 2020), a distinguished researcher at Universidad Autónoma del Caribe, specializes in the field of Machine Learning, Computer Vision, Deep Learning, Geometric Modeling.

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

Data-Driven Analysis of MRI Scans: Exploring Brain Structure Variations in Colombian Adolescent Offenders

Galactic swarm optimization with deep transfer learning driven colorectal cancer classification for image guided intervention

Intelligent video anomaly detection and classification using faster RCNN with deep reinforcement learning model

A saliency-based sparse representation method for point cloud simplification

Robust Method for Estimating Normals on Point Clouds Using Adaptive Neighborhood Size

Non-local SVD denoising of MRI based on sparse representations

Nallig Leal Narvaez Information

University	Universidad Autónoma del Caribe
Position	Profesor Titular
Citations(all)	381
Citations(since 2020)	300
Cited By	147
hIndex(all)	10
hIndex(since 2020)	8
i10Index(all)	11
i10Index(since 2020)	8
Email	Access Email
University Profile Page	Universidad Autónoma del Caribe
Google Scholar	View Google Scholar Profile

Nallig Leal Narvaez Skills & Research Interests

Machine Learning

Computer Vision

Deep Learning

Geometric Modeling

Top articles of Nallig Leal Narvaez

Title	Journal	Author(s)	Publication Date
Data-Driven Analysis of MRI Scans: Exploring Brain Structure Variations in Colombian Adolescent Offenders	Data	Germán Sánchez-Torres Nallig Leal Mariana Pino	2023/12/26
Galactic swarm optimization with deep transfer learning driven colorectal cancer classification for image guided intervention	Computers and Electrical Engineering	José Escorcia-Gutierrez Margarita Gamarra Paola Patricia Ariza-Colpas Gisella Borja Roncallo Nallig Leal ...	2022/12/1
Intelligent video anomaly detection and classification using faster RCNN with deep reinforcement learning model	Image and Vision Computing	Romany F Mansour José Escorcia-Gutierrez Margarita Gamarra Jair A Villanueva Nallig Leal	2021/8/1
A saliency-based sparse representation method for point cloud simplification	Sensors	Esmeide Leal German Sanchez-Torres John W Branch-Bedoya Francisco Abad Nallig Leal	2021/6/23
Robust Method for Estimating Normals on Point Clouds Using Adaptive Neighborhood Size		F Silva D Gutierrez J Rodríguez M Figueiredo	2021
Non-local SVD denoising of MRI based on sparse representations	Sensors	Nallig Leal Eduardo Zurek Esmeide Leal	2020/3/10