Juan S. Angarita-Zapata

Orcid: 0000-0002-3104-9179

According to our database1, Juan S. Angarita-Zapata authored at least 9 papers between 2018 and 2023.

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

Timeline

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Bibliography

2023
AutoEn: An AutoML method based on ensembles of predefined Machine Learning pipelines for supervised Traffic Forecasting.
CoRR, 2023

A Taxonomy of Signal Vehicle Coupled Control from a Mathematical Programming Perspective.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Hyper-Stacked: Scalable and Distributed Approach to AutoML for Big Data.
Proceedings of the Machine Learning and Knowledge Extraction, 2023

2021
A Bibliometric Analysis and Benchmark of Machine Learning and AutoML in Crash Severity Prediction: The Case Study of Three Colombian Cities.
Sensors, 2021

A Taxonomy of Food Supply Chain Problems from a Computational Intelligence Perspective.
Sensors, 2021

2020
General-Purpose Automated Machine Learning for Transportation: A Case Study of Auto-sklearn for Traffic Forecasting.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

2019
A Taxonomy of Traffic Forecasting Regression Problems From a Supervised Learning Perspective.
IEEE Access, 2019

Nature-inspired metaheuristics for optimizing information dissemination in vehicular networks.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018
A Preliminary Study on Automatic Algorithm Selection for Short-Term Traffic Forecasting.
Proceedings of the Intelligent Distributed Computing XII, 2018


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