Claudia Isaza

Orcid: 0000-0003-1044-9429

According to our database1, Claudia Isaza authored at least 23 papers between 2006 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Soundscape Characterization Using Autoencoders and Unsupervised Learning.
Sensors, April, 2024

Graph-Based Audio Classification Using Pre-Trained Models and Graph Neural Networks.
Sensors, April, 2024

Ecoacoustic bank: A software for ecoacoustics data management.
SoftwareX, 2024

2023
Uncertainty clustering internal validity assessment using Fréchet distance for unsupervised learning.
Eng. Appl. Artif. Intell., 2023

2022
Insights from Deep Learning in Feature Extraction for Non-supervised Multi-species Identification in Soundscapes.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2022, 2022

Markers of Exposure to the Colombian Armed Conflict: A Machine Learning Approach.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2022, 2022

2020
LAMDA-HAD, an Extension to the LAMDA Classifier in the Context of Supervised Learning.
Int. J. Inf. Technol. Decis. Mak., 2020

2018
Identifying disturbed habitats: A new method from acoustic indices.
Ecol. Informatics, 2018

2017
A new criterion to validate and improve the classification process of LAMDA algorithm applied to diesel engines.
Eng. Appl. Artif. Intell., 2017

2016
Methodology for mammal classification in camera trap images.
Proceedings of the Ninth International Conference on Machine Vision, 2016

2014
Situation prediction based on fuzzy clustering for industrial complex processes.
Inf. Sci., 2014

Automatic recognition of anuran species based on syllable identification.
Ecol. Informatics, 2014

Yager-Rybalov Triple Π Operator as a Means of Reducing the Number of Generated Clusters in Unsupervised Anuran Vocalization Recognition.
Proceedings of the Nature-Inspired Computation and Machine Learning, 2014

2013
Automaton based on fuzzy clustering methods for monitoring industrial processes.
Eng. Appl. Artif. Intell., 2013

Artificial Neural Networks as an alternative to traditional fall detection methods.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
Software development effort prediction of industrial projects applying a general regression neural network.
Empir. Softw. Eng., 2012

Functional State Estimation Methodology Based on Fuzzy Clustering for Complex Process Monitoring.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012

Unsupervised Feature Selection Based on Fuzzy Clustering for Fault Detection of the Tennessee Eastman Process.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012

2011
Qualitative-fuzzy decision support system for monitoring patients with cardiovascular risk.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

2010
A Wrapper Approach Based on Clustering for Sensors Selection of Industrial Monitoring Systems.
Proceedings of the Fifth International Conference on Broadband and Wireless Computing, 2010

2009
Integration Methodology of Face Detection and Speech Recognition.
Proceedings of the 2009 International Conference on Image Processing, 2009

2007
Process Monitoring Using Residuals and Fuzzy Classification with Learning Capabilities.
Proceedings of the Theoretical Advances and Applications of Fuzzy Logic and Soft Computing, 2007

2006
An Optimization Method for the Data Space Partition Obtained by Classification Techniques for the Monitoring of Dynamic Processes.
Proceedings of the Artificial Intelligence Research and Development, 2006


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