Alvaro D. Orjuela-Cañón

Orcid: 0000-0002-2057-7603

Affiliations:
  • Del Rosario University, Bogotá, Colombia
  • Federal University of Rio de Janeiro, Brazil (PhD 2015)


According to our database1, Alvaro D. Orjuela-Cañón authored at least 28 papers between 2013 and 2022.

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

Timeline

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Bibliography

2022
Decoding EEG rhythms offline and online during motor imagery for standing and sitting based on a brain-computer interface.
Frontiers Neuroinformatics, 2022

Bioactivity Predictors for the Inhibition of Staphylococcus Aureus Quinolone Resistance Protein.
Proceedings of the Applied Computer Sciences in Engineering, 2022

Sentimental Analysis on Social Media Comments with Recurring Models and Pretrained Word Embeddings in Portuguese.
Proceedings of the 2022 6th International Conference on Natural Language Processing and Information Retrieval, 2022

2021
Brain and Heart Physiological Networks Analysis employing Neural Networks Granger Causality.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

Machine Learning Techniques to Determine Mutation Impact in Proteins Associated to Neurofibromatosis.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2021

Automated Machine Learning Strategies to Damage Identification of Neurofibromatosis Mutations.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Preliminary Text Analysis from Medical Records for TB Diagnosis Support.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Sleep apnea: Tracking effects of a first session of CPAP therapy by means of Granger causality.
Comput. Methods Programs Biomed., 2020

Nadir Frequency Estimation in Low-Inertia Power Systems.
Proceedings of the 29th IEEE International Symposium on Industrial Electronics, 2020

Granger Causality Analysis based on Neural Networks Architectures for bivariate cases.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Prediction and Decision Making System Through Neural Networks for Investment Assets: Gold, Euro Dollar and Dow Jones.
Proceedings of the Applied Computer Sciences in Engineering, 2019

Self-Organized Maps for the Analysis of the Biomechanical Response of the Knee Joint During Squat-Like Movements in Subjects Without Physical Conditioning.
Proceedings of the Applied Computer Sciences in Engineering, 2019

On the boundaries of the centroid of a class of fuzzy numbers.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2019

Incremental Training of Neural Network for Motor Tasks Recognition Based on Brain-Computer Interface.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019

2018
Tuberculosis diagnosis support analysis for precarious health information systems.
Comput. Methods Programs Biomed., 2018

On the Use of Neuroevolutive Methods as Support Tools for Diagnosing Appendicitis and Tuberculosis.
Proceedings of the Applied Computer Sciences in Engineering, 2018

Internet of Things Proposal for Measuring Wind Variables in a Smart Home Environment.
Proceedings of the Applied Computer Sciences in Engineering, 2018

Temperature and Relative Humidity Prediction in Swine Livestock Buildings.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2018

Feature extraction analysis using filter banks for faults classification in induction motors.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A System for the Acquisition of Data to Predict Pulmonary Tuberculosis.
Proceedings of the Applied Informatics - First International Conference, 2018

2017
Fuzzy Logic Systems for Assistance in the Anesthesiology Processes.
Proceedings of the Applied Computer Sciences in Engineering, 2017

Characterization of physiological networks in sleep apnea patients using artificial neural networks for Granger causality computation.
Proceedings of the 13th International Symposium on Medical Information Processing and Analysis, 2017

Deep neural network for EMG signal classification of wrist position: Preliminary results.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2017

Self-organizing Maps for Motor Tasks Recognition from Electrical Brain Signals.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

2016
Noisy chaotic time series forecast approximated by combining Reny's entropy with energy associated to series method: Application to rainfall series.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2016

Welcome page.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2016

2014
Artificial Neural Networks for Acoustic Lung Signals Classification.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014

2013
Onset and Peak Pattern Recognition on Photoplethysmographic Signals Using Neural Networks.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013


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