Blar i Fakultet for informasjonsteknologi og elektroteknikk (IE) på emneord "Informatikk, Kunstig intelligens"
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An investigation into Cellular Automata: The Self-Modifying Instruction-Based Approach
(Master thesis, 2015)In this thesis we investigate a method for genotype representation in cellular automata. This method is inspired from gene regulation process in biology and is called self-modification. This is then combined with ... -
An Analysis of the Hybridization of a Divide & Conquer Strategy with Genetic Fuzzy Set for Financial Prediction
(Master thesis, 2018)Several works within the field of artificial intelligence & financial prediction show increased prediction performance by the hybridization of an existing prediction model with the division of the feature space into a ... -
Aspect-based Sentiment Analysis
(Master thesis, 2018)In this thesis a genetic algorithm is used to evolve syntax-patterns that can tell which parts of a sentence that is relevant or irrelevant with regards to sentiment analysis towards a given entity in the sentence. -
Automating Behaviour Modelling for Computer Generated Forces - Evolving Behaviour Trees with Observational Learning
(Master thesis, 2018)Computer generated forces are simulated entities that are used in simulation based training and decision support in the military. The behaviour of these simulated entities should be as realistic as possible, so that the ... -
Case-Based Reasoning and Computational Creativity in a Recipe Recommender System
(Master thesis, 2017)A domain where humans have unfolded their creativity for thousands of years is cooking. However, can a human's creativity within cooking be transferred to a computer program? The case-based reasoning (CBR) methodology ... -
Classification of Maintenance Reports - Statistical NLP meets the Oil & Gas Industry
(Master thesis, 2018)Several problematic data characteristics were revealed, such as multilingual reports, and significant class imbalances. While no consistent scheme for conduct-ing data preparation was found, several techniques were frequently ... -
Clustering users in an electronic business reference system
(Master thesis, 2017)When making strategic decisions in a business setting it is advantageous to know as much about the users of your products as possible. Information about what interest segments exist can be used for search optimization, ... -
Combining Elo Rating and Collaborative Filtering to improve Learner Ability Estimation in an e-learning Context
(Master thesis, 2018)This master thesis details a proof-of-concept software system for estimating student abilities. The system combines Elo rating and collaborative filtering in order to present students with tasks that best reflect their ... -
Creatively Evolving Cooperative Behaviour with the 'NeuroEvolution of Augmenting Topologies' Algorithm
(Master thesis, 2018)This thesis combines creativity and cooperative behaviour, and aims to investigate if a machine learning algorithm called NeuroEvolution of Augmenting Topologies (NEAT) can evolve cooperative behaviour in a creative process. ... -
Decision support in patient-centered health care
(Master thesis, 2017)This thesis aims to create exercise plans for patients with low back pain and is a part of the research project selfBACK. Case-based reasoning is used to create the exercise plans, which is the process of solving new ... -
Deckbuilding in Magic: The Gathering Using a Genetic Algorithm
(Master thesis, 2017)An important factor when playing Magic: The Gathering is choosing which cards one should play with. This is an example of a combinatorial optimization problem in a large and bewildering search space. In this thesis, we ... -
Defining Roles in Transaction Networks Using Deep Learning
(Master thesis, 2018)Recent years have seen an immense increase in the amount of data our generated by humans. This data takes many different shapes and forms, and one of the types we find most often is in the form of network data. In order ... -
Developing a Web Application and a Case-based Reasoning Recommender System to Improve Students' Motivation for Exchange Programs
(Master thesis, 2017)The Norwegian University of Science and Technology has an objective to be internationally outstanding. One of the underlying initiatives of this objective is to increase the number of students that go on a study abroad- ... -
Evaluating Machine Learning Methods for City Bike Demand Prediction in Oslo
(Master thesis, 2018)A bike-sharing system is a service in which a fleet of bicycles is made available to the public on a short-term basis through self-served docking stations. These stations are limited in capacity and are often depleted or ... -
Evolving Behaviour Trees: - Automatic Generation of AI Opponents for Real-Time Strategy Games
(Master thesis, 2016)Video games are a source of fun and enjoyment for millions of people across the globe. Artificial Intelligence (AI) is an essential part of many games and there is an increasing demand for ever more realistic computer ... -
Extending Decision Support for the Norwegian Labour Inspection Authority Through Open and Unstructured Data Sources - Methods for detecting relevant information based on external data
(Master thesis, 2018)The Norwegian Labour Inspection Authority supervises thousands of enterprises every year and strives for preservation of the employee's health and safety. The possibility to detect work related events in open sources is ... -
Extracting and Exploring Examples from semi-structured Text
(Master thesis, 2016)Active Learning has been a highly promoted form of learning the last decades. One of the exercises Active Learning makes use of is task and problem solving. Utilizing examples solving similar problems, can be very helpful ... -
Identifying Sarcasm in English and Norwegian Twitter Messages
(Master thesis, 2017)Twitter is today a very popular microblogging platform with vast amounts of available data. This has created an interest in collecting information from Twitter data, for example in the form of sentiment analysis. Natural ... -
Investigating the Effects of User Features in Hate Speech Detection on Twitter
(Master thesis, 2018)Detecting hate speech has become an increasingly important task for online communities. Current methods for handling such unintended content are often heavily dependent on manual effort, and are therefore not scalable or ... -
Investigating Zero-Shot Learning techniques in multi-label scenarios
(Master thesis, 2017)Visual recognition systems are often limited to the object categories previously trained on and thus suffer in their ability to scale. This is in part due to the difficulty of acquiring sufficient labeled images as the ...