Blar i Institutt for datateknologi og informatikk på tittel
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Predicting MicroRNA targets
(Master thesis, 2005)MicroRNAs are a large family of short non-encoding RNAs that regulated protein production by binding to mRNAs. A single miRNA can regulate an mRNA by itself, or several miRNAs can cooperate in regulating the mRNAs. This ... -
Predicting missing pairwise preferences from similarity features in group decision making
(Peer reviewed; Journal article, 2022)In group decision-making (GDM), fuzzy preference relations (FPRs) refer to pairwise preferences in the form of a matrix. Within the field of GDM, the problem of estimating missing values is of utmost importance, since many ... -
Predicting Outcomes of Association Football Matches Based on Individual Players' Performance
(Master thesis, 2014)This master's thesis concludes our five years study in Computer Science, at the Norwegian University of Science and Technology.Predicting the outcome of football matches is a research area where it is possible to earn a ... -
Predicting Personality in Job Interviews By leveraging Emotion Recognition from Multi-Modal Sentiment Analysis Models
(Master thesis, 2023)Den økende bruken av digitale intervjuer i ansettelsesprosessen har akselerert forskning på metoder som kan forbedre deres effektivitet. Rekrutterere benytter seg av AI-metoder for å få en dypere forståelse av kandidater ... -
Predicting Pigment Color Degradation with Time Series Models
(Chapter, 2022)The colors of pigments and dyes are affected by light exposure. Light-induced color change has an impact on various industrial and artistic applications where colored materials are frequently exposed to light throughout ... -
Predicting publication date of documents based on content
(Master thesis, 2019)Gjenfinne dokumenter som er generert innenfor en viss tidsperiode, kan være en utfordrende oppgave. Det er fordi mange dokumenter ikke har et rikig tidsstempel assiosiert med dem. Automatisert tidsstempling for dokumenter ... -
Predicting Sheep Predation Events Through the Use of Machine Learning Models Trained on Tracking Necklace Data
(Master thesis, 2023)Hver sommer blir millioner av sauer sluppet på beite, og av disse blir tusener drept av rovdyr som leder til millioner av kroner i økonomiske tap. I det siste har det oppstått en trend med å utstyre sauene med halskjeder ... -
Predicting Stock Prices Using Technical Analysis and Machine Learning
(Master thesis, 2010)Historical stock prices are used to predict the direction of future stock prices. The developed stock price prediction model uses a novel two-layer reasoning approach that employs domain knowledge from technical analysis ... -
Predicting stock prices with Long Short-Term Memory based models using a combination of data sources
(Master thesis, 2020)Fokuset for denne oppgaven er prediksjon av aksjekurser ved hjelp av lett tilgjengelige informasjonskilder. De fire presenterte forskningsspørsmålene er relatert til å identifisere mønstre i de innsamlede dataene (1), ... -
Predicting stock prices with Long ShortTerm Memory based models using a combination of data sources
(Master thesis, 2020)Fokuset for denne oppgaven er prediksjon av aksjekurser ved hjelp av lett tilgjengelige informasjonskilder. De fire presenterte forskningsspørsmålene er relatert til å identifisere mønstre i de innsamlede dataene (1), ... -
Predicting students performance with the use of eye tracking and facial recognition to inform design principles for IDE intervention during collaborative debugging
(Master thesis, 2023)Programmering og aktiviteter som inngår i informatikk-studier krever komplekse kognitive prosesser, og involverer flere følelsesmessge og mentale dimensjoner. Ved å bruke datannsamling fra flere kilder, kan vi få innsikt ... -
Predicting the next click with Web log Process Mining
(Master thesis, 2016)Process mining allows for extraction of visual models describing general sequence patterns from event log data. This analysis technique is most commonly applied in business process analytics settings comparing expected and ... -
Predicting the Spread of Pandemic Influenza based on Air Traffic Data and Social Media
(Master thesis, 2016)Influenza is one of the most common viral infections in the world, and puts millions of people at risk every year. Currently, detecting influenza is done by hospitals reporting data, which is very slow. Modern day technology ... -
Prediction and analysis of nucleosome positions in yeast
(Master thesis, 2013)The novel method for a prediction of nucleosome positions in yeast, based on Hidden Markov models extended by duration state modeling, was developed, implemented and tested, using data from Brogaard et al. (Brogaard K, ... -
Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles
(Peer reviewed; Journal article, 2020)Prediction intervals are a machine- and human-interpretable way to represent predictive uncertainty in a regression analysis. In this paper, we present a method for generating prediction intervals along with point estimates ... -
Prediction of Classifier Performance using Data Set Characteristics
(Master thesis, 2015)In machine learning, choosing a suitable algorithm for solving a particular problem is often a question of trial and error. A method for predicting the performance of various algorithms on the data set could potentially ... -
Prediction of Illness in Sheep on Body Temperature
(Master thesis, 2019)Hvert år gresser tusenvis av sau på sommerbeite. Mens denne praksisen er god utnyttelse av utmark og har gode helsefordeler for sauen er det ikke uten problemer. Når sau er på beite blir det vanskelig å ha en god oversikt ... -
Prediction of personalized speed skating results using Case-Based Reasoning
(Master thesis, 2019)Case-based reasoning (CBR) er en metodikk for problemløsning som de siste årene har blitt brukt i forskning for idrett. CBR er et intelligent opplevelsesbasert system, som baserer seg på teorien om at lignende problemer ... -
Predictive Modeling Using Pseudo-Social Networks Derived from Transaction Data
(Master thesis, 2022)Å ligge et steg foran trender er viktig for bedrifter som ønsker å ivareta et konkurransefortrinn. I en verden som blir stadig mer digitalisert, så må bedrifter tilpasse seg det teknologiske skiftet ved å tilegne seg nye ...