Juan S. Angarita-Zapata

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 9

Top Topics

Computational Intelligence

Vehicular Networks

Mathematical Programming

Top Venues

GECCO (Companion)

Publications

Ryan Dave, Juan S. Angarita-Zapata, Isaac Triguero
Hyper-Stacked: Scalable and Distributed Approach to AutoML for Big Data. CD-MAKE (2023)
Arka Ghosh, Juan S. Angarita-Zapata, Antonio D. Masegosa, Ander Arriandiaga Laresgoiti
A Taxonomy of Signal Vehicle Coupled Control from a Mathematical Programming Perspective. ITSC (2023)
Juan S. Angarita-Zapata, Antonio D. Masegosa, Isaac Triguero
AutoEn: An AutoML method based on ensembles of predefined Machine Learning pipelines for supervised Traffic Forecasting. CoRR (2023)
Juan S. Angarita-Zapata, Gina Paola Maestre Gongora, Jenny Fajardo Calderín
A Bibliometric Analysis and Benchmark of Machine Learning and AutoML in Crash Severity Prediction: The Case Study of Three Colombian Cities. Sensors 21 (24) (2021)
Juan S. Angarita-Zapata, Ainhoa Alonso-Vicario, Antonio D. Masegosa, Jon Legarda
A Taxonomy of Food Supply Chain Problems from a Computational Intelligence Perspective. Sensors 21 (20) (2021)
Juan S. Angarita-Zapata, Antonio D. Masegosa, Isaac Triguero
General-Purpose Automated Machine Learning for Transportation: A Case Study of Auto-sklearn for Traffic Forecasting. IPMU (2) (2020)
Antonio D. Masegosa, Eneko Osaba, Juan S. Angarita-Zapata, Ibai Laña, Javier Del Ser
Nature-inspired metaheuristics for optimizing information dissemination in vehicular networks. GECCO (Companion) (2019)
Juan S. Angarita-Zapata, Antonio D. Masegosa, Isaac Triguero
A Taxonomy of Traffic Forecasting Regression Problems From a Supervised Learning Perspective. IEEE Access 7 (2019)
Juan S. Angarita-Zapata, Isaac Triguero, Antonio D. Masegosa
A Preliminary Study on Automatic Algorithm Selection for Short-Term Traffic Forecasting. IDC (2018)