Teaching
Active
Señales Aleatorias
Grado en Ingeniería de Tecnologías y Sistemas de Telecomunicación
Procesado Avanzado de Señales y Datos
Grado en Ingeniería y Sistemas de Datos
Past
Optimization Techniques for Big Data Analysis
Master's Degree in Signal Theory and Communications
Equipos y Sistemas Audiovisuales
Grado en Ingeniería de Tecnologías y Sistemas de Telecomunicación
Producción Multimedia
Grado en Ingeniería de Tecnologías y Sistemas de Telecomunicación
Deep Learning Methods for Trustworthy Causal Inference from Observational Data with Applications in Healthcare
Alejandro Almodóvar
Deep Generative Models for Survival Analysis and Synthetic Data Generation in Healthcare
Patricia A. Apellániz
Master's Theses — 20 supervised
Implementación y validación de modelos generativos causales interpretables para la estimación de efectos de tratamiento
Equilibrium Selection and Model Predictive Control for Autonomous Vehicles at Uncontrolled Intersections
Design and Implementation of Variational Autoencoders for Multimodal Survival Analysis in Medical Data
Design and Implementation of a Neural Network-Based System for Ship Trajectory Estimation Using Magnetic Sensor Data
Development and Implementation of an End-to-End Causal Inference Workflow Integrating Large Language and Causal Generative Models
Development and Evaluation of Generative Modeling Techniques for Synthetic Control Arm Construction in Clinical Trials
Analysis and exploration of the Impact of Sample Size on Survival Analysis
Development and Implementation of a Financial Market Simulation Environment applied to Investment Policy Formation using Deep Reinforcement Learning
Design and implementation of Machine Learning Classification of Food Contaminant in Packaged Food using Microwave Detection
Design and implementation of an efficient navigation system for autonomous underwater vehicles
Design and implementation of a reinforcement learning and evolutionary game theory targeted therapy to fight cancer
Analysis of explainable methods for graph completion based on rules
Design and implementation of optimal spectrum assignment for cognitive users with reinforcement learning
Analysis and comparison of methods for denoising single-cell RNA sequences based on autoencoders
Design and implementation of deep learning models for applications in vehicle safety
Development and analysis of a Deep Neural Network model for quantifying non-coding DNA functions
Design and implementation of a self-navigation underwater system through Reinforcement Learning
Design and Implementation of a Decentralized Satellite Image Forgery Detection System
Analysis and Implementation of Multiagent Deep Reinforcement Learning Algorithms for Natural Disaster Monitoring with Swarms of Drones
Design and Implementation of an Autonomous Navigation System using Deep Reinforcement Learning
Bachelor's Theses — 2 supervised
Implementación de técnicas de inferencia causal basadas en redes neuronales para la estimación de efectos de tratamientos
Análisis e implementación de sistemas de comunicaciones mediante Autoencoders profundos