Search for dissertations about: "learning discovery"

Showing result 1 - 5 of 83 swedish dissertations containing the words learning discovery.

2. 1. Deep learning for news topic identification in limited supervision and unsupervised settings

   Author : Arezoo Hatefi; Frank Drewes; Johanna Björklund; Xuan-Son Vu; Eric Gaussier; Umeå universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Topic Identification; Data Clustering; News Stream Clustering; Semi-Supervised Learning; Unsupervised Learning; Event Topics; News Stories; Multimodal News; Document Classification; Document Clustering; Deep Learning; Deep Clustering; Pre-trained Language Models;

   Abstract : In today's world, following news is crucial for decision-making and staying informed. With the growing volume of daily news, automated processing is essential for timely insights and in aiding individuals and corporations in navigating the complexities of the information society. READ MORE

4. 2. Bioinformatics tools for discovery and evaluation of biomarkers : Applications in clinical assessment of cancer

   Author : Benjamin Ulfenborg; Björn Olsson; Karin Klinga-Levan; Erik Larsson Lekholm; Högskolan i Skövde; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Algorithms; biomarkers; machine learning; classification; cancer; microRNA database; microRNA discovery; partial least squares; Medical sciences; Medicin; Bioinformatik; Bioinformatics; Biomedicin;

   Abstract : Cancer is a disease characterized by abnormal proliferation of cells in the body and ranks as the second leading cause of death worldwide. In order to improve cancer patient care, a major focus of cancer research is to discover biomarkers. READ MORE

5. 3. Machine Learning Enabled Functional Discovery in Yeast Systems Biology

   Author : Daniel Brunnsåker; Chalmers tekniska högskola; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Metabolic Modelling; Mass Spectrometry; Metabolism; Metabolomics; Machine Learning; Systems Biology; Inductive Logic Programming; Proteomics;

   Abstract : Saccharomyces cerevisiae is a well-studied organism, yet roughly 20 percent of its proteins remain poorly characterized. Recent studies also seem to indicate that the pace of functional discovery is slow. READ MORE

6. 4. Image Analysis and Deep Learning for Applications in Microscopy

   Author : Omer Ishaq; Carolina Wählby; Bernd Rieger; Uppsala universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Machine learning; Deep learning; Image analysis; Quantitative microscopy; Bioimaging; Computerized Image Processing; Datoriserad bildbehandling;

   Abstract : Quantitative microscopy deals with the extraction of quantitative measurements from samples observed under a microscope. Recent developments in microscopy systems, sample preparation and handling techniques have enabled high throughput biological experiments resulting in large amounts of image data, at biological scales ranging from subcellular structures such as fluorescently tagged nucleic acid sequences to whole organisms such as zebrafish embryos. READ MORE

7. 5. Intelligent data acquisition for drug design through combinatorial library design

   Author : Simon Johansson; Chalmers tekniska högskola; []
   Keywords : HUMANIORA; HUMANITIES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; determinantal point processes; generative models; machine learning; drug discovery; active learning; Cheminformatics;

   Abstract : A problem that occurs in machine learning methods for drug discovery is a need for standardized data. Methods and interest exist for producing new data but due to material and budget constraints it is desirable that each iteration of producing data is as efficient as possible. READ MORE