Victor Andres Ayma

According to our database, Victor Andres Ayma authored at least 11 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Peruvian Presidential Debates in the Elections of 2021 in Twitter/X: A Sentiment Analysis Approach.

Victor Andres Ayma Quirita, Juan David Cárdenas, Walter Aliaga, Victor Hugo Ayma Quirita, Aramis Palacios, Rafaela B. Sierra

IEEE Access, 2024

2023

Cloud Implementation of Extreme Learning Machine for Hyperspectral Image Classification.

Juan Mario Haut, Sergio Moreno-Álvarez, Enrique Moreno-Ávila, Victor Andres Ayma, Rafael Pastor Vargas, Mercedes Eugenia Paoletti

IEEE Geosci. Remote. Sens. Lett., 2023

2022

A Distributed N-FINDR Cloud Computing-Based Solution for Endmembers Extraction on Large-Scale Hyperspectral Remote Sensing Data.

Victor Andres Ayma Quirita, Gilson Alexandre Ostwald Pedro da Costa, César Beltrán Castañón

Remote. Sens., 2022

2020

Humpback Whale's Flukes Segmentation Algorithms.

Andrea Castro Cabanillas, Victor H. Andres Ayma

Proceedings of the Information Management and Big Data, 2020

Symbiotic Trackers' Ensemble with Trackers' Re-initialization for Face Tracking.

Victor H. Andres Ayma, Patrick Nigri Happ, Raul Queiroz Feitosa, Gilson A. O. P. Costa, Bruno Feijó

Proceedings of the Information Management and Big Data, 2020

2019

Super Resolution Approach Using Generative Adversarial Network Models for Improving Satellite Image Resolution.

Ferdinand Pineda, Victor Andres Ayma, Robert Aduviri, César Beltrán Castañón

Proceedings of the Information Management and Big Data - 6th International Conference, 2019

2017

A New Cloud Computing Architecture for the Classification of Remote Sensing Data.

Victor Andres Ayma Quirita, Gilson Alexandre Ostwald Pedro da Costa, Patrick Nigri Happ, Raul Queiroz Feitosa, Rodrigo da Silva Ferreira, Dário Augusto Borges Oliveira, Antonio Plaza

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

2016

Metaheuristics for Supervised Parameter Tuning of Multiresolution Segmentation.

Victor Andres Ayma, Pedro Achanccaray Diaz, Raul Queiroz Feitosa, Patrick Nigri Happ, Gilson A. O. P. Costa, Tobias Klinger, Christian Heipke

IEEE Geosci. Remote. Sens. Lett., 2016

2015

Segmentation as postprocessing for hyperspectral image classification.

Luis-Ignacio Jimenez, Victor Andres Ayma, Pedro Achanccaray Diaz, Gilson A. O. P. Costa, Raul Queiroz Feitosa, Antonio J. Plaza

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

On the architecture of a big data classification tool based on a map reduce approach for hyperspectral image analysis.

Victor Andres Ayma, Rodrigo S. Ferreira, Patrick Nigri Happ, Dário Augusto Borges Oliveira, Gilson A. O. P. Costa, Raul Queiroz Feitosa, Antonio J. Plaza, Paolo Gamba

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

SPT 3.1: A free software for automatic tuning of segmentation parameters in optical, hyperspectral and SAR images.

Pedro Achanccaray Diaz, Victor Andres Ayma, Luis-Ignacio Jimenez, Sergio Bernabé, Patrick Nigri Happ, Gilson A. O. P. Costa, Raul Queiroz Feitosa, Antonio J. Plaza

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015