Most recent publications

• Christopher A. Flores, and R. Verschae, "Active Learning for Image Classification: A Comprehensive Analysis in Agriculture",  ICICT 2024, 2024, London, UK [presented]

• Christopher A. Flores, and R. Verschae, "A Hybrid Method for Clinical Text Classification Based on Confident Predictions and Regular Expressions",  ICAIIC, 2024, Osaka, Japón [link] 

• Christopher A. Flores, and R. Verschae, "Combining Regular Expressions and Supervised Algorithms for Clinical Text Classification",  IDEAL, 2023, Évora, Portugal  [link] 

• J. Pezoa, (...), Christopher A. Flores, (...), "A Spatial-Spectral Classification Method Based on Deep Learning for Controlling Pelagic Fish Landings in Chile", Sensors, 2023  [link] 

• R. Figueroa, C. Taramasco, Christopher A. Flores, L. Ortiz, C. Vásquez-Venegas, P. Salas, Q. Zeng-Treilter, "A Physician's Perspective on the Incorporation of Pictograms as a Supplement to Medical Instructions in Chile: A Pilot Study", IRBM, Vol 4, No. 1, 2023 [link] 

Most recent projects:

• FONDEF IDeA project #IT23I0012, "Pedagogical management system for the mathematics classroom based on intelligent games and recommendations", Associate investigator (2023-to-present)

• Research Fund for Undergraduate Students, "Semi-supervised algorithms for automatic image classification", Principal investigator (2024)

• ANID postdoctoral project #3220803, "Active learning for algorithms based on bag-of-features with applications in text and images", Principal investigator (2022-to-present)

• FONDEF IDeA project #IT20I0032, "Digital certification of pelagic species landings in small-scale fisheries", Postdoctoral researcher (2021-2022)