Master Thesis Co-director. ‘Deep Survival Analysis in AML patients’
Master Thesis, Universidad Carlos III de Madrid, MASTER IN APPLIED ARTIFICIAL INTELLIGENCE, 2023
Master Thesis, Universidad Carlos III de Madrid, MASTER IN APPLIED ARTIFICIAL INTELLIGENCE, 2023
Master Thesis, Universidad Carlos III de Madrid, MASTER IN APPLIED ARTIFICIAL INTELLIGENCE, 2023
Master Course, Universidad Carlos III de Madrid, MASTER IN APPLIED ARTIFICIAL INTELLIGENCE, 2023
The objectives of the matter are to present the possibilities and limitations of the application of AI in the field of health, to present problems in the field of health in which AI techniques can be applied and develop the capacity to apply AI techniques in some health problems.
Master Course, Universidad Carlos III de Madrid, MASTER IN APPLIED ARTIFICIAL INTELLIGENCE, 2022
The fundamental objective of this subject is for the student to know and learn to use learning schemes based on advanced neural networks, with special emphasis on computer vision applications, treatment of temporal signals and text, and the adjustment of probabilistic models for the generation of artificial data.
Master Course, Universidad Carlos III de Madrid, MASTER IN APPLIED ARTIFICIAL INTELLIGENCE, 2022
The fundamental objective is that the student learns to design decision machines based on neural networks for basic learning problems in tabular and multimedia data, paying special attention to regularization and validation techniques. Likewise, the student will learn to use automatic differentiation software packages for model training and experimental simulation.
Course, Fundación BBVA, 2022