Sökning: "interpretable machine learning"

Visar resultat 1 - 5 av 53 uppsatser innehållade orden interpretable machine learning.

1. 1. Generating an Interpretable Ranking Model: Exploring the Power of Local Model-Agnostic Interpretability for Ranking Analysis

   Magister-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

   Författare :Laura Galera Alfaro; [2023]
   Nyckelord :Explainable Artificial Intelligence; Learning To Rank; Local ModelAgnostic Interpretability; Ranking Generalized Additive Models;

   Sammanfattning : Machine learning has revolutionized recommendation systems by employing ranking models for personalized item suggestions. However, the complexity of learning-to-rank (LTR) models poses challenges in understanding the underlying reasons contributing to the ranking outcomes. LÄS MER

3. 2. Aggregating predictions of a yeast semantic segmentation model : Reducing a pixel classifier into a binary image classifier

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Ali Muquri; [2023]
   Nyckelord :;

   Sammanfattning : The introduction of machine learning in clinical microbiology is important for aiding clinical laboratories with highly repetitive tasks that are fatiguing, error-prone, and require long employee training time due to the complex nature of the task. A challenging task that belongs to the subareas that need assistance is yeast detection in fluorescence microscopy where various yeast morphologies exist. LÄS MER

4. 3. Data Driven Model Identification for Remote Electrical Tilt Systems

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Raphaël Ashruf; [2023]
   Nyckelord :;

   Sammanfattning : This thesis explores the use of supervised machine learning for modelling the dynamics of Remote Electrical Tilt (RET) telecom systems. Three methodologies, including linear regressionfor linear dynamics models, Gaussian Process (GP) regression, and Recurrent Neural Networks (RNN) with Gated Recurrent Units (GRU) are proposed. LÄS MER

5. 4. Developing a highly accurate, locally interpretable neural network for medical image analysis

   Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

   Författare :Rony David Ventura Caballero; [2023]
   Nyckelord :XAI; Interpretability; Computer vision; Pediatric pneumonia; Chest radiograph;

   Sammanfattning : Background Machine learning techniques, such as convolutional networks, have shown promise in medical image analysis, including the detection of pediatric pneumonia. However, the interpretability of these models is often lacking, compromising their trustworthiness and acceptance in medical applications. LÄS MER

7. 5. Exploratory Data Analysis of Live 5G Radio Access Network Configuration Data Using Interpretable Machine Learning

   Master-uppsats, Linköpings universitet/Databas och informationsteknik

   Författare :Fredrik Olsson; Erik Sköld; [2023]
   Nyckelord :;

   Sammanfattning : In the increasingly connected world of today, people are more reliant on online services than ever before. To enhance network performance, efforts needs to be made to better understand the telecommunication system. LÄS MER