Sökning: "Visual Learning Analytics"

Visar resultat 1 - 5 av 14 uppsatser innehållade orden Visual Learning Analytics.

1. 1. MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels in Stacking Ensemble Learning

   Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Författare :Ilya Ploshchik; [2023]
   Nyckelord :Visualization; interaction; metamodels; validation metrics; predicted probabilities; stacking; stacked generalization; ensemble learning; machine learning;

   Sammanfattning : Stacking, also known as stacked generalization, is a method of ensemble learning where multiple base models are trained on the same dataset, and their predictions are used as input for one or more metamodels in an extra layer. This technique can lead to improved performance compared to single layer ensembles, but often requires a time-consuming trial-and-error process. LÄS MER

3. 2. Computer Vision in Fitness: Exercise Recognition and Repetition Counting

   Master-uppsats, KTH/Matematik (Avd.)

   Författare :Anna Barysheva; [2022]
   Nyckelord :Exercise classification; human action recognition; repetition counting; skeletal motion recognition; unsupervised machine learning; Övningsklassificering; igenkänning av mänsklig handling; upprepningsräkning; igenkänning av skelettrörelse; oövervakad maskininlärning;

   Sammanfattning : Motion classification and action localization have rapidly become essential tasks in computer vision and video analytics. In particular, Human Action Recognition (HAR), which has important applications in clinical assessments, activity monitoring, and sports performance evaluation, has drawn a lot of attention in research communities. LÄS MER

4. 3. Interpretation of Dimensionality Reduction with Supervised Proxies of User-defined Labels

   Master-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Författare :Cristian Leoni; [2021]
   Nyckelord :Dimensionality Reduction; Clustering; Supervised Learning; Explainable Artificial Intelligence; XAI; Dimensionality Reduction Explanation;

   Sammanfattning : Research on Machine learning (ML) explainability has received a lot of focus in recent times. The interest, however, mostly focused on supervised models, while other ML fields have not had the same level of attention. Despite its usefulness in a variety of different fields, unsupervised learning explainability is still an open issue. LÄS MER

5. 4. Visual Analysis of Industrial Multivariate Time-Series Data : Effective Solution to Maximise Insights from Blow Moulding Machine Sensory Data

   Master-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Författare :Maath Musleh; [2021]
   Nyckelord :automated factories; multivariate time-series; unsupervised machine learning; visual analytics;

   Sammanfattning : Developments in the field of data analytics provides a boost for small-sized factories. These factories are eager to take full advantage of the potential insights in the remotely collected data to minimise cost and maximise quality and profit. LÄS MER

7. 5. Comparison of Player Tracking-by-Detection Algorithms in Football Videos

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

   Författare :Suping Shi; [2020]
   Nyckelord :;

   Sammanfattning : In recent years, increasing demands on sports analytics have triggered growing research interest in automatic player tracking-by-detection approaches. Two prominent branches in this area are Convolutional Neural Network (CNN)-based visual object detectors and histogram-based detectors. LÄS MER