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- 2019
-
Mark
Classification of GPU rendering errors with Artificial Neural Networks
(
- Master (Two yrs)
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Mark
Twitter bot detection & categorization - a comparative study of machine learning methods
(
- Master (One yr)
-
Mark
Hierarchical Clustering of Time Series using Gaussian Mixture Models and Variational Autoencoders
(
- Master (Two yrs)
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Mark
Utilizing Machine Learning for Trading Algorithms Exploiting the Time Series Momentum Anomaly
(
- Master (Two yrs)
-
Mark
User Equipment Characterization using Machine Learning
(
- Master (Two yrs)
-
Mark
Latent Space Growing of Generative Adversarial Networks
(
- Master (Two yrs)
-
Mark
Artificial Neural Networks to Solve Inverse Problems in Quantum Physics
(
- Master (Two yrs)
-
Mark
Potentialen med smartare RPA-robotar: Innebär smartare RPA-robotar till följd av introduceringen av Machine Learning att dess roll och uppgifter i verksamhetsprocesser förändras.
(
- Bach. Degree
-
Mark
Will You Stay or Will You Go? Churn Prediction for an App-Delivered International Calling Service
(
- Master (Two yrs)
-
Mark
High-risk Consumer Credit Scoring using Machine Learning Classification
(
- Master (Two yrs)
-
Mark
Machine Learning Technique for Uplink Link Adaptation in 5G NR RAN at Millimeter Wave Frequencies
(
- Master (Two yrs)
- 2018
-
Mark
Predicting anastomosis leakage and 90-day mortality for patients undergoing oesophagectomy with artificial neural networks
(
- Master (Two yrs)
-
Mark
Steering Angle Prediction by a Deep Neural Network and its Domain Adaption Ability
(
- Master (Two yrs)
-
Mark
Eco-driving assistant application
(
- Master (Two yrs)
-
Mark
Neural Networks and the Stock Market
(
- Bach. Degree
-
Mark
Estimating Median Visiting Times using Re-identification
(
- Master (Two yrs)
-
Mark
Recognizing Spontaneous Facial Expressions using Deep Convolutional Neural Networks
(
- Master (Two yrs)
-
Mark
An exploration of the current state-of-the-art in automatic music transcription - with proposed improvements using machine learning
(
- Master (Two yrs)
-
Mark
Architecture and Technology in Contested Terrain: An Application of Machine Learning in Interactive Spaces
(
- Master (Two yrs)
-
Mark
Förstärkt kreativitet och innovationsförmåga: effekter av artificiell intelligens inom arkitektur och stadsplanering
(
- Master (Two yrs)
-
Mark
Deep Reinforcement Learning in Real-time Bidding
2018) In Bachelor's Theses in Mathematical Sciences NUMK01 20182(
Mathematics (Faculty of Engineering)- Bach. Degree
-
Mark
Categorizing Software Defects using Machine Learning
(
- Prof. qual. >4 yrs
-
Mark
Audio representation for environmental sound classification using convolutional neural networks
(
- Master (Two yrs)
-
Mark
Motion Event Recognition Using User Feedback
(
- Master (Two yrs)
-
Mark
Evaluation of Artificial Neural Networks for Predictive Maintenance
(
- Prof. qual. >4 yrs
-
Mark
Multiclass Cross-selling Model for Savings and Investments Using Gradient Boosting
(
- Master (Two yrs)
-
Mark
Monitoring of a Veneer Lathe Knife by the use of an Industrial Internet of Things- Platform
(
- Prof. qual. >4 yrs
-
Mark
sEMG Classication with Convolutional Neural Networks: A Multi-Label Approach for Prosthetic Hand Control
(
- Master (Two yrs)
-
Mark
Deep Learning Algorithms for Cardiac Image Classification and Landmark Detection
(
- Master (Two yrs)
-
Mark
Reinforcement learning for planning of a simulatedproduction line
(
- Master (Two yrs)
-
Mark
Prediction of Conversion Rates in Online Marketing - A study of the application of logistic regression for predicting conversion rates in online marketing.
(
- Master (Two yrs)
-
Mark
Investigating Machine Learning Clustering Methods to Replicate the Human Idea of Structure to Documents
(
- Master (Two yrs)
-
Mark
Change of Purpose - The effects of the Purpose Limitation Principle in the General Data Protection Regulation on Big Data Profiling
(
- Prof. qual. >4 yrs
-
Mark
Using Self-Organizing Maps to Identify Operational Risk
(
- Master (Two yrs)
-
Mark
Natural Language Processing in Artificial Neural Networks: Sentence analysis in medical papers
2018) FYTM04 20181(
Department of Astronomy and Theoretical Physics - Undergoing reorganization
Computational Biology and Biological Physics - Undergoing reorganization- Master (Two yrs)
-
Mark
Improving the OpenStreetMap Data Set using Deep Learning
(
- Prof. qual. >4 yrs
-
Mark
Insider Threat detection using Isolation Forest
(
- Master (Two yrs)
-
Mark
Machine Learning as a Data Driven Approach to Automate Multivariate Matching Methods
(
- Master (Two yrs)
-
Mark
How 140 Characters can be related to the Stock Market Movements: Sentiment Analysis of Twitter
(
- Master (One yr)
-
Mark
Exploring the technology of machine learning to improve the demand forecasting
(
- Master (Two yrs)
-
Mark
FX Trading Using Gaussian Processes
(
- Master (Two yrs)
-
Mark
Vehicle Counting using Video Metadata
(
- Prof. qual. >4 yrs
-
Mark
Myocardial Segmentation in MR images using fully Convolutional Neural Networks
(
- Master (Two yrs)
-
Mark
An investigation of Recent Deep Learning Techniques Applied to Blood Cell Image Analysis
(
- Master (Two yrs)
-
Mark
Insect Event Extraction in LIDAR Images using Image Analysis and Convolutional Neural Networks
(
- Master (Two yrs)
-
Mark
Predictive modelling using a nationally representative database to identify the determinants of prediabetes; a machine learning analytic approach on the National Health and Nutrition Examination Survey (NHANES) 2013-2014
(
- Master (Two yrs)
-
Mark
Search for High-Mass Dijet Resonances Decaying into Top Quark Pairs using Machine Learning Techniques in the ATLAS Experiment
(
- Master (Two yrs)
-
Mark
Inflated Multinomial Matching for Anchor-Free Object Detection
(
- Master (Two yrs)
- 2017
-
Mark
Self learning pattern detection and deviation indication
(
- Prof. qual. >4 yrs
-
Mark
Convolutional Neural Networks for Classification of Prostate Cancer Metastases Using Bone Scan Images
(
- Master (Two yrs)