Juan Gabriel Colonna

Orcid: 0000-0002-1740-2618

According to our database1, Juan Gabriel Colonna authored at least 31 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Bag of tricks for long-tail visual recognition of animal species in camera-trap images.
Ecol. Informatics, September, 2023

Discriminative Singular Spectrum Classifier with applications on bioacoustic signal recognition.
Digit. Signal Process., March, 2023

Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy.
CoRR, 2023

A note on improving the search of optimal prices in envy-free perfect matchings.
CoRR, 2023

2022
How Validation Methodology Influences Human Activity Recognition Mobile Systems.
Sensors, 2022

Using amino acids co-occurrence matrices and explainability model to investigate patterns in dengue virus proteins.
BMC Bioinform., 2022

Real Time Detection of Mobile Graphical User Interface Elements Using Convolutional Neural Networks.
Proceedings of the WebMedia '22: Brazilian Symposium on Multimedia and Web, Curitiba, Brazil, November 7, 2022

2021
Short Communication: Optimally Solving the Unit-Demand Envy-Free Pricing Problem with Metric Substitutability in Cubic Time.
Algorithms, 2021

Bioacoustic signal denoising: a review.
Artif. Intell. Rev., 2021

Filtering Empty Camera Trap Images in Embedded Systems.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
A Smartphone Lightweight Method for Human Activity Recognition Based on Information Theory.
Sensors, 2020

New Metrics for Learning Evaluation in Digital Education Platforms.
CoRR, 2020

Deep hashing for multi-label image retrieval: a survey.
Artif. Intell. Rev., 2020

Discriminative Singular Spectrum Analysis for Bioacoustic Classification.
Proceedings of the Interspeech 2020, 2020

2018
A comparison of hierarchical multi-output recognition approaches for anuran classification.
Mach. Learn., 2018

Feature evaluation for unsupervised bioacoustic signal segmentation of anuran calls.
Expert Syst. Appl., 2018

Unsupervised selection of the singular spectrum components based on information theory for bioacoustic signal filtering.
Digit. Signal Process., 2018

2017
Anuran Calls (MFCCs).
Dataset, February, 2017

Uma abordagem para monitoramento de anuros baseada em processamento digital de sinais bioac?sticos.
PhD thesis, 2017

Mutual singular spectrum analysis for bioacoustics classification.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

2016
A Framework for Chainsaw Detection Using One-Class Kernel and Wireless Acoustic Sensor Networks into the Amazon Rainforest.
Proceedings of the IEEE 17th International Conference on Mobile Data Management, 2016

Poster Abstract: A Framework for Chainsaw Detection Using One-Class and WSNs.
Proceedings of the 15th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2016

Recognizing Family, Genus, and Species of Anuran Using a Hierarchical Classification Approach.
Proceedings of the Discovery Science - 19th International Conference, 2016

How to Correctly Evaluate an Automatic Bioacoustics Classification Method.
Proceedings of the Advances in Artificial Intelligence, 2016

Automatic Classification of Anuran Sounds Using Convolutional Neural Networks.
Proceedings of the Ninth International C* Conference on Computer Science & Software Engineering, 2016

2015
An incremental technique for real-time bioacoustic signal segmentation.
Expert Syst. Appl., 2015

Experimental Evaluation on Machine Learning Techniques for Human Activities Recognition in Digital Education Context.
Proceedings of the Social Computing in Digital Education - First International Workshop, 2015

2014
A Distributed Approach for Classifying Anuran Species Based on Their Calls.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2012
Similarity clustering for data fusion in Wireless Sensor Networks using k-means.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Feature subset selection for automatically classifying anuran calls using sensor networks.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Compressive Sensing for Efficiently Collecting Wildlife Sounds with Wireless Sensor Networks.
Proceedings of the 21st International Conference on Computer Communications and Networks, 2012


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