Blar i Institutt for datateknologi og informatikk på tittel
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Feature Selection for Text Categorisation
(Master thesis, 2009)Text categorization is the task of discovering the category or class text documents belongs to, or in other words spotting the correct topic for text documents. While there today exists many machine learning schemes for ... -
Feature selection in Medline using text and data mining techniques
(Master thesis, 2005)In this thesis we propose a new method for searching for gene products gene products and give annotations associating genes with Gene Ontology codes. Many solutions already exists, using different techniques, however few ... -
Federated Identity Management in the Norwegian Oil and Gas Industry
(Doktoravhandlinger ved NTNU, 1503-8181; 2014:116, Doctoral thesis, 2014)The Norwegian oil and gas industry has a highly collaborative, but at the same highly competitive nature. Most of the daily oil and gas production takes place on the Norwegian continental shelf in the North Sea. The ... -
Federated Learning for Diabetic Retinopathy
(Master thesis, 2022)Diabetisk retinopati (DR) er en alvorlig øyesykdom som kan føre til blindhet hos diabetespasienter. En tidlig diagnose er avgjørende for behandling, men medisinsk screening er dyrt og vanligvis upraktisk i underutviklede ... -
Federated Learning: Client-side Personalization
(Master thesis, 2022)Federated learning er en maskinlæring paradigme som fokuserer på å opprettholde personvern og sikkerhet utover flere klienter. Den benytter seg av algoritmer på en sentral server som har i oppgåve å samle sammen flere ... -
Feilende forventninger - En kasusstudie av et universitet-industrisamarbeid
(Master thesis, 2015)Denne kasusstudien tar for seg et samarbeidsprosjekt mellom NTNU og en ikke-kommersiell organisasjon engasjert i formidling og utdanning, og ser på hvordan dette samarbeidet skiller seg fra vanlige industri-student-samarbeid. ... -
Felles ordbok for identifisering av protein-/genforekomster og interaksjoner i biomedisinske artikkelsammendrag.: muligheter og utfordringer
(Master thesis, 2007)Formålet med denne oppgaven var å se på muligheten for samling av flere annoterings- og interaksjonsdatabaser, for dermed å kunne forbedre identifiseringen av protein-/genforekomster og -interaksjoner i biomedisinske ... -
Female Leadership in Software Projects—A Preliminary Result on Leadership Style and Project Context Factors
(SCI;volume 733, Journal article; Peer reviewed, 2018)Women have been shown to be effective leaders in many team-based situations. However, it is also well-recognized that women are underrepresented in engineering and technology areas, which leads to wasted efforts and a lack ... -
Few-shot Font Style Transfer with Extraction of Partial Style
(Master thesis, 2022)Tekst er en sentral verktøy for å formidle ideer og følelser, og er en svært vanlig forekomst i våre liv. Som representasjon av tekst spiller skrifttype en viktig rolle i formidlingen. Skrifttyper viser om en tekst er ... -
FIFOrder MicroArchitecture: Ready-Aware Instruction Scheduling for OoO Processors
(Journal article; Peer reviewed, 2019)The number of instructions a processor's instruction queue can examine (depth) and the number it can issue together (width) determine its ability to take advantage of the ILP in an application. Unfortunately, increasing ... -
Fighting Botnets in an Internet Service Provider Environment
(Master thesis, 2005)Botnets are compromised hosts under a common command and control infrastructure. These nets have become very popular because of their potential for various malicious activity. They are frequently used for distributed ... -
FinanceDoc2JSON: Parsing and structuring invoices and other financial documents with deep learning
(Bachelor thesis, 2021)Denne oppgaven dokumenterer prosessen vår med å få en maskinlæringsmodell til å forstå finansielle dokumenter og tolke dem til JSON. Vi opprettet et datasett og evaluerte flere modeller, men endte opp med YoloV3 modellen ... -
Financial Information Extraction and Visualization
(Master thesis, 2013)In the scope of this thesis we are addressing two challenges, automated information extraction and its comprehensible visualization. The first part is concerned with identification of possibly interesting financial data ... -
Financial News Mining: - Extracting useful Information from Continuous Streams of Text
(Master thesis, 2006)Online financial news sources continuously publish information about actors involved in the Norwegian financial market. These are often short messages describing temporal relations. However, the amount of information is ... -
Financial News Mining:: Extracting useful Information from Continuous Streams of Text
(Master thesis, 2006)Online financial news sources continuously publish information about actors involved in the Norwegian financial market. These are often short messages describing temporal relations. However, the amount of information is ... -
Finding an Optimal Approach for Indexing DNA Sequences
(Master thesis, 2010)In this thesis you should find an optimal approach to index and retriev DNA sequences. As part of the task you should develop an algorithm that is fast, and accurate enough to find relevant sequences. The result will be ... -
Finding and Mapping Expertise Automatically Using Corporate Data
(Master thesis, 2007)In an organization, both management as well as new and experienced employees often have a need to get in touch with experts in a variety of situations. The new staff members need to learn how to perform their job, the ... -
Finding Data Should be Easier than Finding Oil
(Chapter, 2018)The competitiveness of modern enterprises heavily depends on their ability to make the right business decisions by relying on efficient and timely analysis of the right business critical data. In large and data intensive ... -
Finding Data Should be Easier than Finding Oil
(Journal article; Peer reviewed, 2018)The competitiveness of modern enterprises heavily depends on their ability to make the right business decisions by relying on efficient and timely analysis of the right business critical data. In large and data intensive ... -
Finding kings in tournaments
(Peer reviewed; Journal article, 2022)