Blar i Department of Informatics på emneord "Deep Learning"
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Communication in Turn Based Multiplayer Games Using Deep Reinforcement Learning
(Master thesis, 2022-09-01)This work investigates communication in cooperative settings of multi-agent reinforcement learning. We look at what conditions make it easier or harder for meaningful communication to arise between the agents. This includes ... -
Employing Deep Learning for Fish Recognition
(Master thesis, 2018-08-21)Underwater imagery processing is in high demand, but the unrestricted environment makes it difficult to develop methods for analyzing it. Not only is obtaining a dataset for a single species difficult, but there are reported ... -
Machine Learning Approaches in Imaging Genetics
(Master thesis, 2021-06-01)Established approaches in imaging genetics and genome wide association studies (GWAS) such as univariate, multivariate and voxel-wise approaches, are prone to certain disadvantages such as being computationally expensive, ... -
Optimizing Feeder Network Design with Deep Reinforcement Learning: A Hyperheuristic Approach
(Master thesis, 2023-07-01)BORA : Yes Across the globe, hundreds of shipping networks form an intricate web of trade routes forming the backbone of international commerce. These networks are responsible for an estimated 80 percent of all cargo ... -
Reinforcement Learning for Lifelong Multi-Agent Pathfinding in AutoStore system
(Master thesis, 2023-05-25)AutoStore (AS) uses a cubic system for warehouse automation, utilizing robots to retrieve and organize objects in a three-dimensional grid of bins in a Manhattan geometry environment. Lifelong Multi-Agent Pathfinding (LMAPF) ... -
Seismic Event Classification using Machine Learning
(Master thesis, 2021-06-02)The manual detection of seismic events is a labor intensive task, requiring highly skilled workers continuously analyzing recorded waveforms. Previous work has shown the potential of machine learning methods for aiding in ... -
SmartSwarm - A Multi-Agent Reinforcement Learning based Particle Swarm Optimization Algorithm
(Master thesis, 2023-06-01)Particle Swarm Optimization is a renowned continuous optimization method that utilizes Swarm Intelligence to find solutions to complex non-linear optimization problems efficiently. Since its proposal, many developments ... -
Synthesizing Skin Lesion Images Using Generative Adversarial Networks
(Master thesis, 2020-10-02)According to the World Health Organization cancer is the second leading cause of death globally [1], and the most common cancer in the world is skin cancer [2]. To get a skin cancer diagnosis, a patient will usually mention ... -
Vectorizing Distributed Homology with Deep Set of Set Networks
(Master thesis, 2023-06-15)Distributed homology, a topological invariant, holds potential as an instrument for uncov- ering insights into the structural characteristics of complex data. By considering both the density and connectivity of topological ...