Seguir
Juan G. Colonna
Juan G. Colonna
Professor Dr. no Instituto de Computação da Universidade Federal do Amazonas
Dirección de correo verificada de icomp.ufam.edu.br - Página principal
Título
Citado por
Citado por
Año
An incremental technique for real-time bioacoustic signal segmentation
JG Colonna, M Cristo, MS Júnior, EF Nakamura
Expert Systems with Applications 42 (21), 7367-7374, 2015
682015
Automatic classification of anuran sounds using convolutional neural networks
J Colonna, T Peet, CA Ferreira, AM Jorge, EF Gomes, J Gama
Proceedings of the ninth international c* conference on computer science …, 2016
522016
Bioacoustic signal denoising: a review
J Xie, JG Colonna, J Zhang
Artificial Intelligence Review 54, 3575-3597, 2021
462021
Deep hashing for multi-label image retrieval: a survey
J Rodrigues, M Cristo, JG Colonna
Artificial Intelligence Review 53 (7), 5261-5307, 2020
382020
A smartphone lightweight method for human activity recognition based on information theory
H Bragança, JG Colonna, WS Lima, E Souto
Sensors 20 (7), 1856, 2020
272020
Feature subset selection for automatically classifying anuran calls using sensor networks
JG Colonna, AD Ribas, EM dos Santos, EF Nakamura
The 2012 International Joint Conference on Neural Networks (IJCNN), 1-8, 2012
242012
Similarity clustering for data fusion in wireless sensor networks using k-means
AD Ribas, JG Colonna, CMS Figueiredo, EF Nakamura
The 2012 International Joint Conference on Neural Networks (IJCNN), 1-7, 2012
242012
How validation methodology influences human activity recognition mobile systems
H Bragança, JG Colonna, HABF Oliveira, E Souto
Sensors 22 (6), 2360, 2022
212022
Feature evaluation for unsupervised bioacoustic signal segmentation of anuran calls
JG Colonna, EF Nakamura, OA Rosso
Expert Systems with Applications 106, 107-120, 2018
212018
A comparison of hierarchical multi-output recognition approaches for anuran classification
JG Colonna, J Gama, EF Nakamura
Machine Learning 107, 1651-1671, 2018
192018
Mutual singular spectrum analysis for bioacoustics classification
BB Gatto, JG Colonna, EM dos Santos, EF Nakamura
2017 IEEE 27th International Workshop on Machine Learning for Signal …, 2017
192017
How to correctly evaluate an automatic bioacoustics classification method
JG Colonna, J Gama, EF Nakamura
Advances in Artificial Intelligence: 17th Conference of the Spanish …, 2016
172016
Filtering empty camera trap images in embedded systems
F Cunha, EM dos Santos, R Barreto, JG Colonna
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
152021
A framework for chainsaw detection using one-class kernel and wireless acoustic sensor networks into the amazon rainforest
JG Colonna, B Gatto, EM Dos Santos, EF Nakamura
2016 17th IEEE International Conference on Mobile Data Management (MDM) 2, 34-36, 2016
142016
Recognizing family, genus, and species of anuran using a hierarchical classification approach
JG Colonna, J Gama, EF Nakamura
Discovery Science: 19th International Conference, DS 2016, Bari, Italy …, 2016
142016
A distributed approach for classifying anuran species based on their calls
JG Colonna, M Cristo, EF Nakamura
2014 22nd International Conference on Pattern Recognition, 1242-1247, 2014
142014
Using amino acids co-occurrence matrices and explainability model to investigate patterns in dengue virus proteins
LR Souza, JG Colonna, JM Comodaro, FG Naveca
BMC bioinformatics 23 (1), 80, 2022
102022
Estimating ecoacoustic activity in the Amazon rainforest through Information Theory quantifiers
JG Colonna, JRH Carvalho, OA Rosso
PloS one 15 (7), e0229425, 2020
92020
Compressive sensing for efficiently collecting wildlife sounds with wireless sensor networks
JJM Diaz, JG Colonna, RB Soares, CMS Figueiredo, EF Nakamura
2012 21st International Conference on Computer Communications and Networks …, 2012
92012
Using Triplet Loss for Bird Species Recognition on BirdCLEF 2020.
T Clementino, J Colonna, L Cappellato, C Eickhoff, N Ferro, A Névéol
CLEF (Working Notes), 2020
82020
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20