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- 2022
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Mark
Estimation of severe crash frequency using two surrogates
(
- Master (Two yrs)
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Mark
Towards Deep Learning Accelerated Sparse Bayesian Frequency Estimation
(
- Master (Two yrs)
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Mark
Detection of Breast Cancer in Pocket Ultrasound Images Using Deep Learning
(
- Master (Two yrs)
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Mark
Classification of hyperkinesia in Parkinson patients using mobile sensors
(
- Master (Two yrs)
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Mark
Natural Almost Hermitian Structures on Conformally Foliated 4-Dimensional Lie Groups with Minimal Leaves
(
- Master (Two yrs)
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Mark
Predicting the outcome of IVF treatments using forward selection regression and linear discriminant analysis
(
- Master (Two yrs)
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Mark
Multimodal Speech Emotion Recognition for Swedish Customer Service Conversations
(
- Master (Two yrs)
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Mark
Traffic safety analysis by surrogate measures:an extreme value approach
(
- Master (Two yrs)
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Mark
Design, implementation and evaluation of a deep learning prototype to classify non-pigmented malignant skin cancer from dermatoscopic images
(
- Master (Two yrs)
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Mark
Domain adaptation for white blood cell classification - Bridging the gap created by optical hardware upgrades
(
- Master (Two yrs)
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Mark
Automated HER2 Scoring of Breast Cancer Tissue using Upconverting Nanoparticle Images
(
- Master (Two yrs)
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Mark
Observation Based Modeling of Liquid Slosh in Drop Tests
(
- Master (Two yrs)
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Mark
Neural Networks for Credit Risk and xVA in a Front Office Pricing Environment
(
- Master (Two yrs)
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Mark
Evaluation of Convolutional Neural Networks for Image Quality Classification based on Synthetic Data
(
- Master (Two yrs)
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Mark
A First Step Towards an Algorithm for Breast Cancer Reoperation Prediction Using Machine Learning and Mammographic Images
(
- Master (Two yrs)
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Mark
Targeted Improvement of a Deep Learning Object Detector Using Synthetic Training Data
(
- Master (Two yrs)
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Mark
Aerial View Image-Goal Localization with Reinforcement Learning
(
- Master (Two yrs)
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Mark
Pose classification of people using high resolution radar indoor
(
- Master (Two yrs)
-
Mark
Fluid Surface Velocity Measurement Using Millimeter-Wave Radar Sensor
(
- Master (Two yrs)
-
Mark
A survival analysis on endurance tests of chainsaws and power cutter components at Husqvarna Group AB
(
- Master (Two yrs)
-
Mark
Study of The Relationship Between El Niño–Southern Oscillation (ENSO) And Extreme Heat in Taiwan
(
- Master (Two yrs)
-
Mark
Causality Analysis for Price on Sales Quantity for Elasticity Pricing
(
- Master (Two yrs)
-
Mark
Improving a Background Model for Tracking and Classification of Objects in LiDAR 3D Point Clouds
(
- Master (Two yrs)
-
Mark
Factor Models for Futures Contracts to Improve Estimation of the Correlation Matrix
(
- Master (Two yrs)
-
Mark
Pre-classification of Hairy Cells Using Supervised Contrastive Learning
(
- Master (Two yrs)
-
Mark
Exploiting the Overtones in Online Localization of Sound Sources
(
- Master (Two yrs)
-
Mark
Voice Feature Extraction Using Siamese Neural Networks for Detecting Impersonators
(
- Master (Two yrs)
-
Mark
Multi-Camera Multi-Person Tracking Using Reinforcement Learning
(
- Master (Two yrs)
-
Mark
Matematikundervisning med interfolierat lärande
(
- Master (Two yrs)
- 2021
-
Mark
Minimal Deformation Methods for Loop Closure
(
- Master (Two yrs)
-
Mark
Prediction of quote acceptance in a B2B environment using Random Forests and Gradient Boosting Machines
(
- Master (Two yrs)
-
Mark
Combined Spatial Filtering and Time-Frequency Analysis in Motor Imagery BCI
(
- Master (Two yrs)
-
Mark
A deep learning approach for predicting outcomes of triple-negative breast cancer
(
- Master (Two yrs)
-
Mark
Symbolic Regression using Genetic Programming Leveraging Neural Information Processing
(
- Master (Two yrs)
-
Mark
Using Machine Learning to Detect Grapevine Disease in Wine Production
(
- Master (Two yrs)
-
Mark
Detecting Nucleated Cells in Bone Marrow Smears using Deep Learning
(
- Master (Two yrs)
-
Mark
Hierarchical Clustering To Improve Portfolio Tail Risk Characteristics
(
- Master (Two yrs)
-
Mark
Statistics and Machine Learning for Classification of Emotional and Semantic Content of EEG
(
- Master (Two yrs)
-
Mark
Graffiti Detection using a variable temperature MOx sensor and Machine Learning
(
- Master (Two yrs)
-
Mark
Quantification of Fetal Volume in Magnetic Resonance Images Using Deep Learning
(
- Master (Two yrs)
-
Mark
Comparing Multistep Methods Within Parametric Classes to Determine Viability in Solver Applications
2021) In Master's Theses in Mathematical Sciences NUMM11 20201(
Mathematics (Faculty of Engineering)
Mathematics (Faculty of Sciences)
Centre for Mathematical Sciences- Master (Two yrs)
-
Mark
Investigation of Alternative Contactless Optical Surface Reconstruction Methods
(
- Master (Two yrs)
-
Mark
Visual assessments of Postural Orientation Errors using ensembles of Deep Neural Networks
(
- Master (Two yrs)
-
Mark
Deep-learning based semantic segmentation of healthy and metaplastic airway epithelium in lung tissue samples
(
- Master (Two yrs)
-
Mark
How Many Stocks Should You Buy? A Simulation Study on Portfolio Diversification for the Swedish Stock Market
(
- Master (Two yrs)
-
Mark
Future Spaceborne SAR Systems based on SCORE: Intrinsic Limitations and Possible Solutions
(
- Master (Two yrs)
-
Mark
DETECTION OF RELAPSING VOCAL CORD CANCER USING SIAMESE NEURAL NETWORKS
(
- Master (Two yrs)
-
Mark
Existence and Approximations of Optimal Wavelets
(
- Master (Two yrs)
-
Mark
Analysis of Forecasts for District Heat Production using Different Models for Seasonal Partitions
(
- Master (Two yrs)
-
Mark
Learned Multi-Sensor Indoor Positioning of Mobile Devices
(
- Master (Two yrs)