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Multi-label classification models for heterogeneous data: an ensemble-based approach
(Universidad de Córdoba, UCOPress, 2020)
In recent years, the multi-label classification task has gained the attention of the scientific community given its ability to solve real-world problems where each instance of the dataset may be associated with several ...
Hyperparameter optimization in machine learning models: an approach based on evolutionary computation
(Universidad de Córdoba, UCOPress, 2024)
Los conceptos de Inteligencia Artificial (Artificial Intelligence - AI) y Aprendizaje Automático (Machine Learning - ML) han despertado gran interés en los últimos años. El avance de la tecnología permite que cada vez haya ...
New challenges on associative classification: Big Data and applications
(Universidad de Córdoba, UCOPress, 2020)
La clasificación asociativa surge como resultado de la unión de dos importantes ámbitos del aprendizaje automático. Por un lado la tarea descriptiva de extracción de reglas de asociación, como mecanismo para obtener ...
Leveraging machine learning and mechanistic models to accelerate therapeutic target discovery and drug repositioning
(Universidad de Córdoba, UCOPress, 2024)
In the current landscape of biomedical research, identifying therapeutic targets and repositioning drugs represent critical challenges, particularly in the context of rare or emergent diseases marked by a lack of resources ...