Projects per year
Personal profile
Research Interests
Operations Management, Machine Learning, Pricing, Revenue Management.
Key Words
Operations Management, Machine Learning, Pricing, Revenue Management.
Profession
Industrial Engineer, Universidad de Chile 2002
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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Dive into the research topics where Luis Aburto is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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ID25I10198: Herramientas de machine learning y optimización para mejora de calidad de soluciones de ruteo de vehículos y última milla
Aburto, L. (Director) & Lagos, F. (Alternate Director)
Agencia Nacional de Investigación y Desarrollo
2/06/25 → 2/06/27
Project: Research
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1231245: 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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11220944: 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
33 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
Open Access28 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
19 Scopus citations -
Improved supply chain management based on hybrid demand forecasts
Aburto, L. & Weber, R., Jan 2007, In: Applied Soft Computing Journal. 7, 1, p. 136-144 9 p.Research output: Contribution to journal › Article › peer-review
Open Access267 Scopus citations
Press/Media
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El caso de Dafiti y el desafío del comercio electrónico en Chile
23/04/25
1 Media contribution
Press/Media
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SOBREVIVIR AL E-COMMERCE EN CHILE: LECCIONES DEL “CASO DAFITI”
11/04/25
1 Media contribution
Press/Media
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SOBREVIVIR AL E-COMMERCE EN CHILE: LECCIONES DEL “CASO DAFITI”
11/04/25
1 Media contribution
Press/Media
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Lockers inteligentes, IA y apps potencian el modelo out of home
9/04/25
1 Media contribution
Press/Media
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El auge de los empaques biodegradables en el e-commerce chileno
19/03/25
1 Media contribution
Press/Media