A new on-line electrocardiographic records database and computer routines for data analysis. - Carlos A. Ledezma; Erika Severeyn; Gilberto Perpinan; Miguel Altuve; Sara Wong (EMBC, 2014)

Using Populations of Models to Navigate Big Data in Electrophysiology: Evaluation of Parameter Sensitivity of Action Potential Models. - Carlos A. Ledezma; Benjamin Kappler; Veronique Meijborg; Bas Boukens; Marco Stijnen; P. J. Tan; Vanessa Díaz-Zuccarini (CinC, 2017)

Evaluating the Risks of Arrhythmia through Big Data: Automatic Processing and Neural Networks to Classify Epicardial Electrograms. - Carlos Ledezma; Benjamin Kappler; Veronique Meijborg; Bas Boukens; Marco Stijnen; P. J. Tan; Vanessa Díaz-Zuccarini (CinC, 2017)

A Big Data Approach to Myocyte Membrane Analysis: Using Populations of Models to Understand the Cellular Causes of Heart Failure. - Carlos Ledezma; Benjamin Kappler; Veronique Meijborg; Bas Boukens; Marco Stijnen; P. J. Tan; Vanessa Díaz-Zuccarini (CinC, 2017)

Optimal data fusion for the improvement of QRS complex detection in multi-channel ECG recordings. - Carlos A. Ledezma; Miguel Altuve (Medical Biol. Eng. Comput., 2019)

How to Calibrate your Neural Network Classifier: Getting True Probabilities from a Classification Model. - Natalia Culakova; Dan Murphy; Joao Gante; Carlos Ledezma; Vahan Hovhannisyan; Alan Mosca (KDD, 2020)

On Forecasting Project Activity Durations with Neural Networks. - Peter Zachares; Vahan Hovhannisyan; Carlos Ledezma; Joao Gante; Alan Mosca (EANN, 2022)