| A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data T Bogaerts, AD Masegosa, JS Angarita-Zapata, E Onieva, P Hellinckx Transportation Research Part C: Emerging Technologies 112, 62-77, 2020 | 304 | 2020 |
| A Taxonomy of Traffic Forecasting Regression Problems from a Supervised Learning Perspective JS Angarita-Zapata, AD Masegosa, I Triguero IEEE Access 7 (1), 68185 - 68205, 2019 | 40 | 2019 |
| A Taxonomy of Food Supply Chain Problems from a Computational Intelligence Perspective JS Angarita-Zapata, A Alonso-Vicario, AD Masegosa, J Legarda Sensors 21 (20), 2021 | 26 | 2021 |
| General-purpose automated machine learning for transportation: A case study of auto-sklearn for traffic forecasting JS Angarita-Zapata, AD Masegosa, I Triguero International Conference on Information Processing and Management of …, 2020 | 19 | 2020 |
| A Bibliometric Analysis and Benchmark of Machine Learning and AutoML in Crash Severity Prediction: The Case Study of Three Colombian Cities JS Angarita-Zapata, G Maestre-Gongora, J Fajardo Calderín Sensors 21 (24), 8401, 2021 | 17 | 2021 |
| A preliminary study on automatic algorithm selection for short-term traffic forecasting JS Angarita-Zapata, I Triguero, AD Masegosa Intelligent Distributed Computing XII, 204-214, 2018 | 14 | 2018 |
| Evaluating automated machine learning on supervised regression traffic forecasting problems JS Angarita-Zapata, AD Masegosa, I Triguero Computational Intelligence in Emerging Technologies for Engineering …, 2020 | 11 | 2020 |
| Understanding the structural complexity of induced travel demand in decision-making: a system dynamics approach JS Angarita-Zapata, JA Parra-Valencia, HH Andrade-Sosa Organizacija 49 (3), 129-143, 2016 | 9 | 2016 |
| A Case Study of AutoML for Supervised Crash Severity Prediction JS Angarita-Zapata, G Maestre-Gongora, J Fajardo Calderín Joint Proceedings of the 19th World Congress of the International Fuzzy …, 2021 | 7 | 2021 |
| Nature-inspired metaheuristics for optimizing information dissemination in vehicular networks AD Masegosa, E Osaba, JS Angarita-Zapata, I Laña, JD Ser Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019 | 5 | 2019 |
| AutoEn: an AutoML method based on ensembles of predefined machine learning pipelines for supervised traffic forecasting JS Angarita-Zapata, AD Masegosa, I Triguero arXiv preprint arXiv:2303.10732, 2023 | 2 | 2023 |
| Herramientas para el modelamiento y la simulación de tendencias futuras en el área de la movilidad urbana JS Angarita, C Sandoval CEPAL, 2022 | 2 | 2022 |
| White-box flight simulator built with system dynamics to support urban transportation decision-making and address induced travel demand JS Angarita-Zapata, HH Andrade-Sosa, AD Masegosa Scientia et Technica 25 (3), 438-447, 2020 | 2 | 2020 |
| The FOODRUS index: Assessing suitability for effective food loss and waste prevention management under an integral perspective M Amador-Cervera, JS Angarita-Zapata, A de la Calle Vicente, ... Waste Management 179, 32-43, 2024 | 1 | 2024 |
| A Taxonomy of Signal Vehicle Coupled Control from a Mathematical Programming Perspective A Ghosh, JS Angarita-Zapata, AD Masegosa, AA Laresgoiti 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 1 | 2023 |
| Hyper-Stacked: Scalable and Distributed Approach to AutoML for Big Data R Dave, JS Angarita-Zapata, I Triguero International Cross-Domain Conference for Machine Learning and Knowledge …, 2023 | | 2023 |
| The Foodrus Index: Assessing the Impact of Food Loss and Waste Prevention Under an Integral Perspective M Amador Cervera, JS Angarita-Zapata, A de la Calle Vicente, ... Available at SSRN 4505846, 2023 | | 2023 |
| Dinámica de Sistemas para el Aprendizaje Significativo de Funciones Reales en Estudiantes de Media Vocacional EA Perdomo, JS Angarita-Zapata, HH Andrade | | 2020 |
| Propuesta Dinámico-Sistémica para el aprendizaje del uso eficiente de la energía eléctrica en estudiantes de media vocacional M Villabona-Garcia, JS Angarita-Zapata, HHA Sosa | | 2020 |
| Automated machine learning to support model selection in supervised traffic forecasting JS Angarita Zapata Automated machine learning to support model selection in supervised traffic …, 2020 | | 2020 |
Antonio D. MasegosaIKERBASQUE/DeustoTech, Deusto Institute of Technology, University of DeustoVerified email at deusto.es
