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Carlos Alberto Ledezma
Carlos Alberto Ledezma
Ph.D
Email confirmado em nplan.io
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A modeling and machine learning approach to ECG feature engineering for the detection of ischemia using pseudo-ECG
CA Ledezma, X Zhou, B Rodriguez, PJ Tan, V Diaz-Zuccarini
PloS one 14 (8), e0220294, 2019
382019
A new on-line electrocardiographic records database and computer routines for data analysis
CA Ledezma, E Severeyn, G Perpinan, M Altuve, S Wong
2014 36th Annual International Conference of the IEEE Engineering in …, 2014
312014
Optimal data fusion for the improvement of QRS complex detection in multi-channel ECG recordings
CA Ledezma, M Altuve
Medical & biological engineering & computing 57, 1673-1681, 2019
242019
Investigating the physiology of normothermic ex vivo heart perfusion in an isolated slaughterhouse porcine model used for device testing and training
B Kappler, CA Ledezma, S van Tuijl, V Meijborg, BJ Boukens, B Ergin, ...
BMC cardiovascular disorders 19, 1-16, 2019
182019
Data fusion for QRS complex detection in multi-lead electrocardiogram recordings
CA Ledezma, G Perpiñan, E Severeyn, M Altuve
11th International Symposium on Medical Information Processing and Analysis …, 2015
142015
Fusión de datos para detectar complejos QRS en registros electrocardiográficos multicanal
CA Ledezma, M Altuve
V Congreso Venezolano de Bioingeniería, Mérida, Venezuela 162, 118-121, 2015
82015
On Forecasting Project Activity Durations with Neural Networks
P Zachares, V Hovhannisyan, C Ledezma, J Gante, A Mosca
International Conference on Engineering Applications of Neural Networks, 103-114, 2022
42022
Extracting stationary segments from non-stationary synthetic and cardiac signals
MG Rodríguez, CA Ledezma, G Perpiñán, S Wong, M Altuve
10th International Symposium on Medical Information Processing and Analysis …, 2015
42015
Bridging organ-and cellular-level behavior in ex vivo experimental platforms using populations of models of cardiac electrophysiology
CA Ledezma, B Kappler, V Meijborg, B Boukens, M Stijnen, PJ Tan, ...
Journal of Engineering and Science in Medical Diagnostics and Therapy 1 (4 …, 2018
32018
How to calibrate your neural network classifier: getting true probabilities from a classification model
N Culakova, D Murphy, J Gante, C Ledezma, V Hovhannisyan, A Mosca
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
22020
Evaluating the risks of arrhythmia through big data: automatic processing and neural networks to classify epicardial electrograms
CA Ledezma, B Kappler, V Meijborg, B Boukens, M Stijnen, PJ Tan, ...
2017 Computing in Cardiology (CinC), 1-4, 2017
22017
A big data approach to myocyte membrane analysis: using populations of models to understand the cellular causes of heart failure
CA Ledezma, B Kappler, V Meijborg, B Boukens, M Stijnen, PJ Tan, ...
2017 Computing in Cardiology (CinC), 1-4, 2017
22017
Data-Driven Schedule Risk Forecasting for Construction Mega-Projects
V Hovhannisyan, P Zachares, Y Grushka-Cockayne, A Mosca, ...
Available at SSRN 4496119, 2023
12023
Populations of models and machine learning for the assessment of cardiac electrophysiology
CA Ledezma Rondon
UCL (University College London), 2020
2020
Using populations of models to navigate big data in electrophysiology: Evaluation of parameter sensitivity of action potential models
CA Ledezma, B Kappler, V Meijborg, B Boukens, M Stijnen, PJ Tan, ...
2017 Computing in Cardiology (CinC), 1-4, 2017
2017
Fusión de Algoritmos para la Detección Robusta de Complejos QRS en Registros ECG Multi-Canal
CA Ledezma
Universidad Simón Bolívar, 2015
2015
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Artigos 1–16