Essays about: "hierarchical classification"

Showing result 11 - 15 of 50 essays containing the words hierarchical classification.

1. 11. Agriculture monitoring using satellite data

   University essay from Luleå tekniska universitet/Rymdteknik

   Author : Graff Erik; [2021]
   Keywords : Sentinel; satellite; agriculture; monitoring; dynamic time warping; remote sensing;

   Abstract : As technology advances, the possibility of using satellite data and observations to aid inagricultural activities comes closer to reality. Swedish farmers can apply for subsidies for their land in which crop management and animal grazing occurs, and every year thousands of manual follow-up checks are conducted by Svenska Jordbruksverket (Swedish Board of Agriculture) to validate the farmers’ claims to financial aid. READ MORE

3. 12. Brain disease classification using multi-channel 3D convolutional neural networks

   University essay from Linköpings universitet/Statistik och maskininlärning

   Author : Andreas Christopoulos Charitos; [2021]
   Keywords : Deep Learning DL ; fMRI; CNNs; Tensorflow Keras; ASD; Medical Imaging;

   Abstract : Functional magnetic resonance imaging (fMRI) technology has been used in the investigation of human brain functionality and assist in brain disease diagnosis. While fMRI can be used to model both spatial and temporal brain functionality, the analysis of the fMRI images and the discovery of patterns for certain brain diseases is still a challenging task in medical imaging. READ MORE

4. 13. Automatic Categorization of News Articles With Contextualized Language Models

   University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystem

   Author : Lukas Borggren; [2021]
   Keywords : Natural Language Processing; Text Classification; Hierarchical Classification; Hierarchical Multi-label Text Classification; Domain Specialization; Metadata Features; Model Compression; Quantization; Pruning; Machine Learning; Deep Learning; Contextualized Language Models; BERT; ELECTRA; News Media;

   Abstract : This thesis investigates how pre-trained contextualized language models can be adapted for multi-label text classification of Swedish news articles. Various classifiers are built on pre-trained BERT and ELECTRA models, exploring global and local classifier approaches. READ MORE

5. 14. Identifying New Fault Types Using Transformer Embeddings

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

   Author : Mikael Karlsson; [2021]
   Keywords : Transformer Models; Clustering; Embeddings; Deep Learning; Fault Identification; Transformatorbaserade modeller; Klustering; Djupinlärning; Felidentifiering;

   Abstract : Continuous integration/delivery and deployment consist of many automated tests, some of which may fail leading to faulty software. Similar faults may occur in different stages of the software production lifecycle and it is necessary to identify similar faults and cluster them into fault types in order to minimize troubleshooting time. READ MORE

6. 15. Clustering and Classification of Time Series in Real-Time Strategy Games - A machine learning approach for mapping StarCraft II games to clusters of game state time series while limited by fog of war

   University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

   Author : Olof Enström; Fredrik Hagström; John Segerstedt; Fredrik Viberg; Arvid Wartenberg; David Weber Fors; [2020-10-29]
   Keywords : Classification problem; Cluster analysis; Hierarchical clustering; Machine learning; Neural network; Random forest; Real-time strategy; StarCraft II; Time series;

   Abstract : Real-time strategy (RTS) games feature vast action spaces and incomplete information, thus requiring lengthy training times for AI-agents to master them at the level of a human expert. Based on the inherent complexity and the strategical interplay between the players of an RTS game, it is hypothesized that data sets of played games exhibit clustering properties as a result of the actions made by the players. READ MORE