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ORCIDCarlos A. Ledezma
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Journal Articles
- 2019
[j1]Carlos A. Ledezma, Miguel Altuve
:
Optimal data fusion for the improvement of QRS complex detection in multi-channel ECG recordings. Medical Biol. Eng. Comput. 57(8): 1673-1681 (2019)
Conference and Workshop Papers
- 2022
- [c6]Peter Zachares, Vahan Hovhannisyan, Carlos Ledezma, Joao Gante, Alan Mosca:
On Forecasting Project Activity Durations with Neural Networks. EANN 2022: 103-114 - 2020
- [c5]Natalia Culakova, Dan Murphy, Joao Gante, Carlos Ledezma, Vahan Hovhannisyan, Alan Mosca:
How to Calibrate your Neural Network Classifier: Getting True Probabilities from a Classification Model. KDD 2020: 3499-3500 - 2017
- [c4]Carlos A. Ledezma, Benjamin Kappler, Veronique Meijborg, Bas Boukens, Marco Stijnen, P. J. Tan, Vanessa Díaz-Zuccarini:
Using Populations of Models to Navigate Big Data in Electrophysiology: Evaluation of Parameter Sensitivity of Action Potential Models. CinC 2017 - [c3]Carlos Ledezma, Benjamin Kappler, Veronique Meijborg, Bas Boukens, Marco Stijnen, P. J. Tan, Vanessa Díaz-Zuccarini:
Evaluating the Risks of Arrhythmia through Big Data: Automatic Processing and Neural Networks to Classify Epicardial Electrograms. CinC 2017 - [c2]Carlos Ledezma, Benjamin Kappler, Veronique Meijborg, Bas Boukens, Marco Stijnen, P. J. Tan, Vanessa Díaz-Zuccarini:
A Big Data Approach to Myocyte Membrane Analysis: Using Populations of Models to Understand the Cellular Causes of Heart Failure. CinC 2017 - 2014
- [c1]Carlos A. Ledezma, Erika Severeyn, Gilberto Perpinan, Miguel Altuve, Sara Wong:
A new on-line electrocardiographic records database and computer routines for data analysis. EMBC 2014: 2738-2741
Coauthor Index
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