Research Interests:
Research Interests:
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Ph.D. Thesis:
Ph.D. Thesis:
Developing algorithms for biomedical text classification using regular expressions and active learning (Spanish) [link]
Developing algorithms for biomedical text classification using regular expressions and active learning (Spanish) [link]
Most recent publications
Christopher A. Flores, and R. Verschae, "Active Learning in Biomedical Text Classification Using a Bag-of-Regular-Expressions Approach", CBMS 2025, Madrid, Spain [Accepted]
Christopher A. Flores, and R. Verschae, "Active Learning for Image Classification: A Comprehensive Analysis in Agriculture", ICICT 2024,, London, UK [link]
Christopher A. Flores, and R. Verschae, "A Hybrid Method for Clinical Text Classification Based on Confident Predictions and Regular Expressions", ICAIIC 2024, Osaka, Japan [link]
Christopher A. Flores, and R. Verschae, "Combining Regular Expressions and Supervised Algorithms for Clinical Text Classification", IDEAL 2023, Évora, Portugal [link]
Most recent projects:
ANID FOVI project #FOVI240110, "Artificial Intelligence and Robotics for Remote and Proximal Sensing in Precision Agriculture", Associate investigator (2025-to-present)
FONDEF IDeA project #IT23I0012, "Pedagogical Management System for the Mathematics Classroom Based on Intelligent Games and Recommendations", Associate investigator (2023-to-present)
ANID postdoctoral project #3220803, "Active learning for algorithms based on bag-of-features with applications in text and images", Principal investigator (2022-to-2024)
FONDEF IDeA project #IT20I0032, "Digital certification of pelagic species landings in small-scale fisheries", Postdoctoral researcher (2021-2022)
Further details can be found at:
Further details can be found at:
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