Carlos Ledezma

According to our database, Carlos Ledezma authored at least 4 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of six.

2022

On Forecasting Project Activity Durations with Neural Networks.

Peter Zachares, Vahan Hovhannisyan, Carlos Ledezma, Joao Gante, Alan Mosca

Proceedings of the Engineering Applications of Neural Networks, 2022

2020

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

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

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

Proceedings of the Computing in Cardiology, 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

Proceedings of the Computing in Cardiology, 2017