Master Theses
Master theses within the topic of the center:
Aas, S.; Trygstad, M. L.: Modular Actor-Critic System for Automated Security Trading. Master thesis, NTNU, Trondheim 2022.
Albizreh, H. M. M.; Amini, S.: Reinforcement Learning for Optimizing Mobile Networks. Master thesis, NTNU, Trondheim 2023.
Andersen, A. M.: Sequence Input Aggregation. Master thesis, NTNU, Trondheim 2022.
Andersen, I.: Tracing Truth: How Journalists in Faktisk Verifiserbar Used Digital Technologies to Verify Information from the Warzone in Ukraine - An Actor-Network Approach to Newsroom Practices in Norway. Master thesis, UiO, Oslo 2023.
Barstad, C.; Torjusen, H.: Privacy in Recommender Systems Inferring User Personality Traits From Personalized Movie Recommendations. Master thesis, NTNU, Trondheim 2023.
Barthold, I.: Privacy Leaks in Recommender Lists: Exploring Obfuscation Techniques to Preserve Privacy. Master thesis, NTNU, Trondheim 2023.
Bekkemoen, Y.: Correcting Classification: A Bayesian Framework Using Explanation Feedback to Improve Classification Abilities. Master thesis, NTNU, Trondheim 2021
Bjørnland, J. F. R.; Gedde, Y. B.: Exploring Procedural Content Generation and Personalized Learning for Virtual Driving Education. Master thesis, NTNU, Trondheim 2023.
Bjøru, A. R.: The importance of disentanglement when learning representations. Master thesis, NTNU, Trondheim 2021
Bynke, M.: Multi-label image classification with language-image models: an approach for a fine-grained domain-specific dataset. Master thesis, NTNU, Trondheim 2022.
Caprioli, E.: A semi-supervised approach to bird song classification. Master thesis, NTNU, Trondheim 2022.
Carlsen, T. R.; Kopperud, E.: Tempura: A GraphX extension for temporal graphs in Apache Spark. Master thesis, NTNU, Trondheim 2022.
Domben, I. S.: Detecting Influential Events. Master thesis, NTNU, Trondheim 2021
Falch, W. T. Measuring the Effect of Recommender Systems in Online Video Learning Platforms: A Case Study with Utdannet.no. Master thesis, NTNU, Trondheim 2022.
Flagstad, T. S., Iveland, T. T.: Transfer Learning for HVAC Control using Deep Reinforcement Learning. Master thesis, NTNU, Trondheim 2021
Fossland, T. A.: Semantic Similarity Search over Spatio-textual Data. Master thesis, NTNU, Trondheim 2023.
Fossnes, P.: Narrative Driven Recommendation. Master thesis, NTNU, Trondheim 2021
Fredheim, A., N.: Group Betweenness Centrality on Dynamic Graphs. Master thesis, NTNU, Trondheim 2022.
Fålun, E., Gjelstad L. K.: Explainable Neural News Recommender Systems. Master thesis, NTNU, Trondheim 2021
Gundersen, L. H., Kim, M. M., Strobel, E. K.: Analyzing and Predicting Performances and Playing Styles of Football Players. Master thesis, NTNU, Trondheim 2022
Hatlø, A., M.: Å lære No-Press Diplomacy fra Selvspill: Dyp Reinforcement Learning med Fokus på Samarbeid mellom Agenter. Master thesis, NTNU, Trondheim 2022
Haukeland, A. Aubert, S. A.: Graph Convolutional Networks for Predicting Cerebral Palsy in Infants. Master thesis, NTNU, Trondheim 2021
Hernandez, A. J. E.: Combining question answering models with transformer-based generative conversational agents. Master thesis, NTNU, Trondheim 2022
Holmsen, S.: Pseudo-Hamiltonian System Identification. Master thesis, UiO, Oslo 2023.
Holmsen, T. L.: Understanding Organizations’ Adoption of AI Technologies: Challenges, Opportunities and Impact. Master thesis, NTNU, Trondheim 2021
Hossain, M. A.: Explain errors and improve timeseries forecasting models using XAI. Master thesis, NTNU, Trondheim 2023.
Høijord, E. H.: Explainable AI (XAI) for grid loss forecasting. Master thesis, NTNU, Trondheim 2022
Imran, Z. U.; Schau, M. T.: Exploring the Efficiency of Zero-Cost Proxies in NAS for Human Action Recognition. Master thesis, NTNU, Trondheim 2023.
Ingstad, M. S.: Fast generation of realistic SZ maps using machine learning methods. Master thesis, UiO, Oslo 2022
Johannessen, A.: Motion Classification with Neural Ordinary Differential Equations. Master thesis, NTNU, Trondheim 2022
Johansen, A-S; Nag, B.; Tveit, H. H.: Nurse Scheduling and Rescheduling: Combining Optimization with Machine Learning-Driven Demand Predictions. Master thesis, NTNU, Trondheim 2023.
Jørgensen, V. Sande, H. K.: Predictive Modeling Using Pseudo-Social Networks Derived from Transaction Data. Master thesis, NTNU, Trondheim 2022
Kanck, K.: TexTraClus: A Spatio-textual Sub-trajectory Clustering Framework. Master thesis, NTNU, Trondheim 2021
Killingberg, L.: Generative Adversarial Networks for Flexible Variational Posteriors in Bayesian Neural Networks. Master thesis, NTNU, Trondheim 2021
Kohmann, E.: Investigating the Capability of Generative Adversarial Networks of Capturing Implicit Laws in Physical Systems. Master thesis, NTNU, Trondheim 2023.
Kostric, I.: Soliciting User Preferences in Conversational Recommender Systems via Usage-related Questions. Master thesis, UiS, Stavanger 2021
Kvamme, J., Larsen P.-E.: Achieving Trustable Explanations Through Multi-Task Learning Neural Networks. Master thesis, NTNU, Trondheim 2021
Kaasbøll, M. A., Rahka E. N.: Exploring Exemplar Trajectory Query. Master thesis, NTNU, Trondheim 2021
Langli, M. L.: Sentiment Analysis of Customer Emails Using BERT. Master thesis, NTNU, Trondheim 2023.
Langseth, A. W.: Use of Spatial Information in News Recommenders. Master thesis, NTNU, Trondheim 2022
Liadal, O.: Explainable Research Paper Recommendation Using Scientific Knowledge Graphs. Master thesis, NTNU, Trondheim 2021
Løkkeborg, T. H.: Deep Reinforcement Learning for International Diplomacy: Learning to Play Map Variants. Master thesis, NTNU, Trondheim 2023.
Moan, M. A.: Noise in the sea: the quest to detect and classify animal and man-made sounds. Master thesis, NTNU, Trondheim 2022
Nilsen, D., Simmersholm, A.. Leveraging Natural Language Processing in Data Synthesis for use in Entity Matching. Master thesis, NTNU, Trondheim 2022
Nilsen, Ø. L.: From Uni-Modal to Multi-Modal Fake News Detection: The Impact of Visual Cues on Detection Performance. Master thesis, NTNU, Trondheim 2023.
Norum, O-M. V.: Exploring Self-Supervised Learning for Bird Vocalization Classification. Master thesis, NTNU, Trondheim 2023.
Nygard, M. B. L., Samuelsen, Ø.,: Active Learning with Transformer Pre-trained Language Models for Entity Matching. Master thesis, NTNU, Trondheim 2021
Nyheim, B.; A Novel Application of Machine Learning to Develop Pointing Models for Current and Future Radio/Sub-millimeter Telescopes. Master Thesis, UiO, Oslo.
Ohr, V.: NASH: Range Search over Temporal, Numerical, and Geographical Annotated Documents. Master thesis, NTNU, Trondheim 2022
Orvik, A.; Network based pandemic modeling. Master thesis, NTNU, Trondheim 2023.
Riibe, E. R.: Self-Supervised Human Activity Recognition on Free-Living Sensor Data Streams. Master thesis, NTNU, Trondheim 2023.
Sing, A.: Deep Reinforcement Learning for Spatio-Temporal Wildlife Management. Master thesis, NTNU, Trondheim 2023.
Sivertsvik, M.: Deep Learning for Robotic Manipulation of Soft Objects. Master thesis, NTNU, Trondheim 2022
Skauge, S. N.: Vigorous Activity Detection in Human Activity Recognition. Master thesis, NTNU, Trondheim 2021
Smith, P.: Systems for Efficient Storage and Retrieval of Dynamic Networks. Master thesis, NTNU, Trondheim 2022
Solbjørg, I. A.: Using Sentiment Analysis to Improve Course Recommendations for MOOCs. Master thesis, NTNU, Trondheim 2023.
Sollid, I. S., Stang, H. J.: A Hybrid Multi-document Summarization System for Biomedical Articles. Master thesis, NTNU, Trondheim 2021
Stensaker, M. T.: Political Categorization of Norwegian Text. Master thesis, NTNU, Trondheim 2022
Syverinsen, H. H.: Supervised Pre-training for Dialogue Act Classification in Task-oriented Dialogue. Master thesis, NTNU, Trondheim 2021
Tokstad, T.: Pre-trained transformers with transfer learning and handcrafted-features for entity matching. Master thesis, NTNU, Trondheim 2021
Tveiten, L. N.: Frameworks for Distributed Processing of Temporal Graph Queries. Master thesis, NTNU, Trondheim 2023.
Ulve, H. S.; Yu, J. J.: Utilizing Fine-Grained Transaction Data for Predicting the Life Event of Residential Change. Master thesis, NTNU, Trondheim 2022
Ulvund, L.: Explaining fake news. Master thesis, NTNU, Trondheim 2021.
Ågotnes, H.: Hydropower optimization using model-based Reinforcement Learning. Master thesis, NTNU, Trondheim 2023.
Østerhus, S. B.: Omsorg gjennom skjermen? En kvalitativ casestudie om hvordan psykisk behandling endres ved digitalisering. Master thesis, UiO, Oslo 2022