Essays about: "Interpretability"

Showing result 16 - 20 of 114 essays containing the word Interpretability.

  1. 16. Forecasting copper price using VAR and the XGBoost model: an experiment with a relatively small dataset

    University essay from Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionen

    Author : Juanli Hu; [2023]
    Keywords : copper price; Vector autoregressive model; XGBoost; Time series; Business and Economics;

    Abstract : Given the importance of copper prices to investors, governments, and policymakers, this paper investigates short-term price predictability using VAR and XGBoost models. All models are trained with historical data from November 2021 to December 2022 and using MSE, RMSE and MAE for evaluating the model performance. READ MORE

  2. 17. GAN-Based Counterfactual Explanation on Images

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Ning Wang; [2023]
    Keywords : : Machine Learning; Counterfactual Explanation; GAN; DCGAN;

    Abstract : Machine learning models are widely used in various industries. However, the black-box nature of the model limits users’ understanding and trust in its inner workings, and the interpretability of the model becomes critical. READ MORE

  3. 18. Explainable Machine Learning in Cardiovascular Diagnostics

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Alexander Gutell; Ludvig Skare; [2023]
    Keywords : ;

    Abstract : The major challenges in implementing machine learning models in medical applications stemfrom ethical and accountability concerns, which arise from the lack of insight and understandingof the models' inner workings and reasoning. This opaqueness has resulted in the emergenceof a new subfield of machine learning called Explainability, which aims to develop and deploymethods to gain insight into how input data is weighted and propagated through a machinelearning algorithm. READ MORE

  4. 19. Interpretability and Accuracy in Electricity Price Forecasting : Analysing DNN and LEAR Models in the Nord Pool and EPEX-BE Markets

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Maria Margarida de Mendoça de Atayde P. de Mascarenhas; [2023]
    Keywords : Deep Neural Network DNN ; Lasso Estimated AutoRegressive LEAR ; Electricity Price Forecasting EPF ; Interpretability; EPEX-BE; Nord Pool.; Deep Neural Network DNN ; Lasso Estimate AutoRegressive LEAR ; elprisprognoser; tolkbarhet; EPEX-BE; Nord Pool.;

    Abstract : Market prices in the liberalized European electricity system play a crucial role in promoting competition, ensuring grid stability, and maximizing profits for market participants. Accurate electricity price forecasting algorithms have, therefore, become increasingly important in this competitive market. READ MORE

  5. 20. Explainability to enhance creativity : A human-centered approach to prompt engineering and task allocation in text-to-image models for design purposes

    University essay from Luleå tekniska universitet/Institutionen för ekonomi, teknik, konst och samhälle

    Author : Celina Burlin; [2023]
    Keywords : ;

    Abstract : As the power, utility, and prevalence of generative AI technologies continue to grow, the debate on whether and how designers should incorporate text-image models into the design process is gaining momentum. To ensure productivity, creativity, and human values, this project seeks to address design interaction and task allocation between designers, and generative AI models become essential. READ MORE