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Author

D. F. Manotas-Duque

2 papers indexed here

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Open access Aug 2026

Destination Marketing Intelligence in European Tourism: A Machine Learning Approach to Performance, Housing Pressure, and Post-Shock Sensitivity

Tourism destinations increasingly require data-driven tools to interpret competitiveness, capacity use, housing-related pressure, and post-shock change. This study develops a machine-learning-based destination marketing intelligence framework for a non-probability analytical sample of 29 European destinations observed...

Orlando Joaqui-Barandica, Sebastián López-Estrada, D. F. Manotas-Duque · 0 citations
Open access Sep 2026

Comparing Machine and Deep Learning for Electricity Theft Detection from Monthly Billing Data in an Emerging Energy Market

This study addresses a regime-conditioned question in electricity theft detection: when only monthly billing series and inspection-confirmed labels are available, which supervised model families recover irregular consumption without relying on the temporal resolution of advanced metering infrastructure (AMI)? The worki...

O. W. Orozco-Cerón, Orlando Joaqui-Barandica, D. F. Manotas-Duque · 0 citations

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