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Education/Academic qualification
PhD, Universidad de Chile
Award Date: 10 Dec 2019
Master, Universidad de Chile
Award Date: 25 Oct 2002
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Collaborations and top research areas from the last five years
Projects
- 2 Active
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Resource cost-aware scheduling problems under uncertainty
Ruz, G. (Co-Investigator) & Aburto, L. (Co-Investigator)
Agencia Nacional de Investigación y Desarrollo
1/04/23 → 1/04/27
Project: Research
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Smart constraints definition using machine learning for robust pricing optimization in retail.
Aburto, L. (Principal Investigator)
Agencia Nacional de Investigación y Desarrollo
15/03/22 → 14/03/25
Project: Research
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Predicting passenger satisfaction in public transportation using machine learning models
Ruiz, E., Yushimito, W. F., Aburto, L. & de la Cruz, R., Mar 2024, In: Transportation Research Part A: Policy and Practice. 181, 103995.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Uncertainty estimation through quantile forest for prescriptive scheduling of data processing at ALMA
Carrasco, R. A., Aburto, L., García Yus, J., De Rodt, A. & Speroni, G., 2024, Observatory Operations: Strategies, Processes, and Systems X. Benn, C. R., Chrysostomou, A. & Storrie-Lombardi, L. J. (eds.). SPIE, 1309813. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 13098).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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An Approach for a Multi-Period Portfolio Selection Problem by considering Transaction Costs and Prediction on the Stock Market
Aburto, L., Romero-Romero, R., Linfati, R. & Escobar, J. W., 2023, In: Complexity. 2023, 3056411.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Market basket analysis insights to support category management
Musalem, A., Aburto, L. & Bosch, M., 21 Jun 2018, In: European Journal of Marketing. 52, 7-8, p. 1550-1573 24 p.Research output: Contribution to journal › Article › peer-review
17 Scopus citations -
A sequential hybrid forecasting system for demand prediction
Aburto, L. & Weber, R., 2007, Machine Learning and Data Mining in Pattern Recognition - 5th International Conference, MLDM 2007, Proceedings. Springer Verlag, p. 518-532 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4571 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access19 Scopus citations