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- 2023
-
Mark
Exchange Rate and Equity Market Dependence under Shifts in Volatility Expectations
(
- Master (Two yrs)
-
Mark
Automated Interpretation of Lung Ultrasound for COVID-19 and Tuberculosis diagnosis
(
- Master (Two yrs)
-
Mark
A Borel-Cantelli lemma for non-stationary dynamical systems
(
- Master (Two yrs)
-
Mark
Detecting Images Outside Training Distribution for Fingerprint Spoof Detection
(
- Master (Two yrs)
-
Mark
Copula approach to fitting bivariate time series
(
- Master (Two yrs)
-
Mark
Winter Wheat Harvest Prediction Using Primarily Satellite Radar Data from Sentinel-1
(
- Master (Two yrs)
-
Mark
Self-supervised representation learning from electrocardiogram data for medical applications
(
- Master (Two yrs)
-
Mark
An operator theoretic approach to the Riemann Hypothesis
2023) In Master's Theses in Mathematical Sciences MATM03 20232(
Mathematics (Faculty of Sciences)
Centre for Mathematical Sciences- Master (Two yrs)
- 2022
-
Mark
Identifying Piggybacking with Radar and Neural Networks
(
- Master (Two yrs)
-
Mark
MODELING ENERGY LOSSES AND GAINS IN LOW TEMPERATURE BI-DIRECTIONAL HEATING AND COOLING GRIDS A CASE STUDY OF E.ON’S ECTOGRID
(
- Master (Two yrs)
-
Mark
Detektering och Visualisering av Långsiktiga Avvikande Handelsbeteenden
(
- Master (Two yrs)
-
Mark
Modeling rush hour vehicular traffic using a machine learning approach
(
- Master (Two yrs)
-
Mark
Evaluation of non-stationary signal processing methods for binary EEG classification
(
- Master (Two yrs)
-
Mark
Pricing of Embedded Options: Implementing Stochastic Interest Rates & Stochastic Spread
(
- Master (Two yrs)
-
Mark
Non-Destructive Biomass and Relative Growth Rate Estimation in Aeroponic Agriculture using Machine Learning
(
- Master (Two yrs)
-
Mark
LEAST -SQUARE MONTE CARLO BASED OPTION PRICING OF EUROPEAN AND BERMUDAN STOCK INDEX OPTIONS
(
- Master (Two yrs)
-
Mark
Segmentation, Classification and Tracking of Objects in LiDAR Point Cloud Data Using Deep Learning
(
- Master (Two yrs)
-
Mark
Predicting Birth Outcome Using Cardiotocography and Machine Learning
(
- Master (Two yrs)
-
Mark
Depth of field post-processing using neural networks
(
- Master (Two yrs)
-
Mark
Augmentation for Generalization
(
- Master (Two yrs)
-
Mark
Spatial Statistical Modelling of Insurance Claim Frequency
(
- Master (Two yrs)
-
Mark
Automating Water Orientation in Neutron Crystallography using Convolutional Neural Networks
(
- Master (Two yrs)
-
Mark
Virtual Staining of Blood Cells using Point Light Source Illumination and Deep Learning
(
- Master (Two yrs)
-
Mark
Analysis of Carbon Dioxide Flux from a Tower Sensor in Abisko Sweden
(
- Master (Two yrs)
-
Mark
Var finns källaren? - Bildigenkänning av källarfönster på ’street view’-bilder.
(
- Master (Two yrs)
-
Mark
Image classification for improving an IR-signal classification in a semi-supervised learning pipeline
(
- Master (Two yrs)
-
Mark
Quantification of Uncertainty in Quantitative Microbiological Risk Assessment by Bayesian calibration of multiple linked models
(
- Master (Two yrs)
-
Mark
Gene Expression Guided Distance Metric Learning for Breast Cancer Whole Slide Image Analysis
(
- Master (Two yrs)
-
Mark
Monte-Carlo Based Pricing of American Options Using Known Characteristics of the Expected Continuation Value Function
(
- Master (Two yrs)
-
Mark
Modeling code quality using machine intelligence
(
- Master (Two yrs)
-
Mark
Modeling and Interpreting CTG Curves from Labor Using Machine Learning and Pattern Recognition
(
- Master (Two yrs)
-
Mark
Parameter Update Schemes for Hidden Markov Models applied to Financial Returns
(
- Master (Two yrs)
-
Mark
Radar Detection Using Deep Learning
(
- Master (Two yrs)
-
Mark
Analysing information content in images of paper straws using image processing, machine learning and deep learning
(
- Master (Two yrs)
-
Mark
Detecting red blood cells and platelets in blood smears using a single multi-class object detector
(
- Master (Two yrs)
-
Mark
Automatic 3D Segmentation in CT images of Congenital Heart Defects using Deep Learning
(
- Master (Two yrs)
-
Mark
A comparison of the Basel III capital requirement models for financial institutions
(
- Master (Two yrs)
-
Mark
H infinity controller for smoothing the coupling error in co-simulated technical systems.
2022) In Master's Theses in Mathematical Sciences NUMM03 20212(
Mathematics (Faculty of Engineering)
Mathematics (Faculty of Sciences)
Centre for Mathematical Sciences- Master (Two yrs)
-
Mark
Using Dynamic Double Machine Learning for Guided District Heating Forecasting and Physical Parameter Extraction
(
- Master (Two yrs)
-
Mark
How is Polly? Revisiting the Differential Attack on Polly Cracker after 20 years
(
- Master (Two yrs)
-
Mark
Statistical Analysis of Organized Attacks in Football
(
- Master (Two yrs)
-
Mark
Impact of model architecture and data distribution on self-supervised federated learning
(
- Master (Two yrs)
-
Mark
Examination of AI-based ESG-scores as a valid source of alpha in the Swedish investing landscape
(
- Master (Two yrs)
-
Mark
Estimating the risk of insurance fraud based on tonal analysis
(
- Master (Two yrs)
-
Mark
Exploring improvements of wind power forecasts using Convolutional Neural Networks and Time Series Analysis
(
- Master (Two yrs)
-
Mark
Gradually Changing Gender Attribution of Speech Recordings Using Interpolated Filters
(
- Master (Two yrs)
-
Mark
Embedded eigenvalues for asymptotically periodic ODE Systems
(
- Master (Two yrs)
-
Mark
Sequential Good-Turing and the Missing Species Problem
(
- Master (Two yrs)
-
Mark
Describing Finite Codimensional Polynomial Subalgebras Using Partial Derivatives
(
- Master (Two yrs)
-
Mark
Classifying Hypernasality for Children with a Cleft Palate using a Convolutional Neural Network
(
- Master (Two yrs)
-
Mark
Estimation of severe crash frequency using two surrogates
(
- Master (Two yrs)
-
Mark
Towards Deep Learning Accelerated Sparse Bayesian Frequency Estimation
(
- Master (Two yrs)
-
Mark
Detection of Breast Cancer in Pocket Ultrasound Images Using Deep Learning
(
- Master (Two yrs)
-
Mark
Classification of hyperkinesia in Parkinson patients using mobile sensors
(
- Master (Two yrs)
-
Mark
Natural Almost Hermitian Structures on Conformally Foliated 4-Dimensional Lie Groups with Minimal Leaves
(
- Master (Two yrs)
-
Mark
Predicting the outcome of IVF treatments using forward selection regression and linear discriminant analysis
(
- Master (Two yrs)
-
Mark
Multimodal Speech Emotion Recognition for Swedish Customer Service Conversations
(
- Master (Two yrs)
-
Mark
Traffic safety analysis by surrogate measures:an extreme value approach
(
- Master (Two yrs)
-
Mark
Design, implementation and evaluation of a deep learning prototype to classify non-pigmented malignant skin cancer from dermatoscopic images
(
- Master (Two yrs)
-
Mark
Domain adaptation for white blood cell classification - Bridging the gap created by optical hardware upgrades
(
- Master (Two yrs)
-
Mark
Automated HER2 Scoring of Breast Cancer Tissue using Upconverting Nanoparticle Images
(
- Master (Two yrs)
-
Mark
Observation Based Modeling of Liquid Slosh in Drop Tests
(
- Master (Two yrs)
-
Mark
Neural Networks for Credit Risk and xVA in a Front Office Pricing Environment
(
- Master (Two yrs)
-
Mark
Evaluation of Convolutional Neural Networks for Image Quality Classification based on Synthetic Data
(
- Master (Two yrs)
-
Mark
A First Step Towards an Algorithm for Breast Cancer Reoperation Prediction Using Machine Learning and Mammographic Images
(
- Master (Two yrs)
-
Mark
Targeted Improvement of a Deep Learning Object Detector Using Synthetic Training Data
(
- Master (Two yrs)
-
Mark
Aerial View Image-Goal Localization with Reinforcement Learning
(
- Master (Two yrs)
-
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)