| 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 | 37 | 2019 |
| 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 | 31 | 2014 |
| 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 | 24 | 2019 |
| 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 | 17 | 2019 |
| 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 | 14 | 2015 |
| 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 | 8 | 2015 |
| 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 | 4 | 2022 |
| 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 | 4 | 2015 |
| 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 | 3 | 2018 |
| 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 | 2 | 2020 |
| 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 | 2 | 2017 |
| 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 | 2 | 2017 |
| Data-Driven Schedule Risk Forecasting for Construction Mega-Projects V Hovhannisyan, P Zachares, Y Grushka-Cockayne, A Mosca, ... Available at SSRN 4496119, 2023 | 1 | 2023 |
| 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 |
Miguel AltuveProfessor, Universidad Simón Bolívar, Caracas, Venezuela在 usb.ve 的电子邮件经过验证
Miguel AltuveProfessor, Universidad Simón Bolívar, Caracas, Venezuela在 usb.ve 的电子邮件经过验证
Sara WongUniversidad Simón Bolívar在 USB.VE 的电子邮件经过验证