Exploració per tema "explainability"

Ara es mostren els items 1-10 de 10

    • Comparing deep learning models in terms of prediction and explainability in time series forecasting 

      Azparrent Estela, Carol Jhasmin (Universitat Politècnica de Catalunya, 2023-10-17)
      Projecte Final de Màster Oficial
      Accés obert
      In the realm of time-series forecasting, deriving meaningful predictions from historical trends and patterns presents a significant challenge. Traditional methods, while showcasing certain capabilities, often encounter ...

    • Creation of an agent in reinforcement learning using explainability methods in a complex environment 

      Perelló Comas, Bartomeu (Universitat Politècnica de Catalunya, 2021-10-25)
      Treball Final de Grau
      Accés obert
      La inteligencia artificial es una de las áreas de la computación que se encuentra actualmente en auge, este trabajo se encuentra bajo el marco del aprendizaje por refuerzo. El aprendizaje por refuerzo se centra en la ...

    • Explainability on recommender systems using contextual data 

      Gutiérrez Fandiño, Asier (Universitat Politècnica de Catalunya, 2020-04-14)
      Projecte Final de Màster Oficial
      Accés obert
      Recommender Systems (RS) are a fundamental part of any relevant e-commerce website, and the inclusion, improvement and optimization of this kind of systems is a growing trend. As these systems evolve, people are more ...

    • Explicabilitat en models de deep learning 

      Pavia Pardo, Andreu (Universitat Politècnica de Catalunya, 2022-01-26)
      Treball Final de Grau
      Accés restringit per acord de confidencialitat
      Els models de Deep Learning (DL) s'estan convertint en un dels camps del Machine Learning (ML) més extesos en el seu ús. Tot i això, la gran quantitat de paràmetres i operacions que realitzen les xarxes neuronals les fan ...

    • Extracting explanations about cooperation in a multi-agent reinforcement learning scenario 

      Balaguera Lizcano, Miguel Angel (Universitat Politècnica de Catalunya, 2023-06-29)
      Projecte Final de Màster Oficial
      Accés obert
      Reinforcement learning is a Machine Learning technique where an agent learns how to interact in an dynamic environment by performing actions and getting rewards or penalization as a feedback that will point how good or bad ...

    • Fracture detection and explainability in deep learning models 

      Giménez Abalos, Víctor (Universitat Politècnica de Catalunya, 2021-06-25)
      Projecte Final de Màster Oficial
      Accés obert
      This thesis has been developed in the context of a collaboration project between health insurance company for work accidents Asepeyo and the Barcelona Supercomputing Center (BSC). The target of this project is the creation ...

    • Identifying determinants of mortality in sepsis using machine learning 

      Albiñana Climent, Elisa (Universitat Politècnica de Catalunya, 2023-06)
      Projecte Final de Màster Oficial
      Accés restringit per acord de confidencialitat
      Sepsis is a leading cause of mortality in hospitals, resulting in substantial public health costs and a key medical challenge. This study aims to develop a machine learning tool capable of predicting death cases due to ...

    • Leveraging explainable machine learning to raise awareness among preadolescents about gender bias in supervised learning 

      Melsión Pérez, Gaspar Isaac (Universitat Politècnica de Catalunya, 2020-07-01)
      Projecte Final de Màster Oficial
      Accés obert
      The rapid integration of machine learning into our society has emerged the concerns about its potential discrimination in terms of gender and race caused by the unconscious bias introduced in it, which has led to the ...

    • On explainability of deep neural networks 

      Parafita Martínez, Álvaro (Universitat Politècnica de Catalunya, 2018-06-15)
      Projecte Final de Màster Oficial
      Accés obert
      Deep Learning has attained state-of-the-art performance in the recent years, but it is still hard to determine the reasoning behind each prediction. This project will cover the latest advances on interpretability and propose ...

    • Survey and evaluation of explainability methods in reinforcement learning 

      Vázquez Valero, Judith (Universitat Politècnica de Catalunya, 2022-06-27)
      Treball Final de Grau
      Accés obert
      El aprendizaje por refuerzo es un área del aprendizaje automático que tiene como objetivo determinar qué acciones debe tomar un agente con el fin de maximizar las recompensas que recibe por parte de un entorno. En la ...