Diego León

Orcid: 0000-0003-1434-7569

According to our database1, Diego León authored at least 14 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Deep Heterogeneous AutoML Trend Prediction Model for Algorithmic Trading in the USD/COP Colombian FX Market Through Limit Order Book (LOB).
SN Comput. Sci., June, 2024

2022
Globally Explainable AutoML Evolved Models of Corporate Credit Risk.
Proceedings of the Applied Computer Sciences in Engineering, 2022

Multivariate Financial Time Series Forecasting with Deep Learning.
Proceedings of the Applied Computer Sciences in Engineering, 2022

2021
Late reverberation suppression using U-nets.
CoRR, 2021

2020
An Interpretable Automated Machine Learning Credit Risk Model.
Proceedings of the Applied Computer Sciences in Engineering, 2020

2019
Intelligent Autonomous Navigation of Robot KUKA YouBot.
Proceedings of the Intelligent Systems and Applications, 2019

Autonomous Robot Navigation with Signaling Based on Objects Detection Techniques and Deep Learning Networks.
Proceedings of the Intelligent Systems and Applications, 2019

Human Rescue Based on Autonomous Robot KUKA YouBot with ROS and Object Detection.
Proceedings of the Intelligent Systems and Applications, 2019

Portfolio Selection Based on Hierarchical Clustering and Inverse-Variance Weighting.
Proceedings of the Computational Science - ICCS 2019, 2019

2018
Price Prediction with CNN and Limit Order Book Data.
Proceedings of the Applied Computer Sciences in Engineering, 2018

Deep Learning and Wavelets for High-Frequency Price Forecasting.
Proceedings of the Computational Science - ICCS 2018, 2018

Mixed Methods Assessment of Technological and Health Needs for the Development of a Community-based Information System to improve Child and Maternal Health in Amazonian Remote Communities.
Proceedings of the AMIA 2018, 2018

2017
Algorithmic Trading Using Deep Neural Networks on High Frequency Data.
Proceedings of the Applied Computer Sciences in Engineering, 2017

Clustering algorithms for Risk-Adjusted Portfolio Construction.
Proceedings of the International Conference on Computational Science, 2017


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