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- 2023
-
Mark
AI-sammanfattade klagomål på hälso- och sjukvård
(
- Bach. Degree
-
Mark
Wind power forecasting using random forests
(
- Master (Two yrs)
-
Mark
Machine Learning in Risk Management Applications
(
- Master (One yr)
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Mark
Using forest reflectance modelling to estimate albedo for narrow-view satellites
(
- Master (Two yrs)
-
Mark
Beam selection using Machine Learning in Massive MIMO systems
(
- Master (Two yrs)
- 2022
-
Mark
Autoencoder Compression in High Energy Physics
(
- Master (Two yrs)
-
Mark
Tuning of the ESS Drift Tube Linac using Machine Learning
(
- Master (One yr)
-
Mark
Multimodal Speech Emotion Recognition for Swedish Customer Service Conversations
(
- Master (Two yrs)
-
Mark
Inflation forecasting with Random Forest
(
- Bach. Degree
-
Mark
Augmentation for Generalization
(
- Master (Two yrs)
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Mark
Investigating Machine Learning for verification of AMBA APB protocol.
(
- Master (Two yrs)
-
Mark
Prediction of appropriate L2 regularization strengths through Bayesian formalism
2022) FYTK02 20221(
Computational Biology and Biological Physics - Undergoing reorganization
Department of Astronomy and Theoretical Physics - Undergoing reorganization- Bach. Degree
-
Mark
Estimation of dissolved organic carbon from inland waters using remote sensing data and machine learning
(
- Master (Two yrs)
-
Mark
Research of Chinese Stock Market Based on Financial Time Series and Deep Machine Learning
(
- Master (One yr)
-
Mark
Design, implementation and evaluation of a deep learning prototype to classify non-pigmented malignant skin cancer from dermatoscopic images
(
- Master (Two yrs)
-
Mark
Interaction design for automatic tracking of free weight exercises using computer vision and IoT systems
(
- Master (Two yrs)
-
Mark
Evaluation of Convolutional Neural Networks for Image Quality Classification based on Synthetic Data
(
- Master (Two yrs)
-
Mark
Predicting the Direction of Movement of Abnormal Returns using Earnings Conference Calls and FinBERT
(
- Master (One yr)
-
Mark
Modeling code quality using machine intelligence
(
- Master (Two yrs)
-
Mark
Mapping wetlands in Sweden using multi-source satellite data and random forest algorithm
(
- Master (Two yrs)
-
Mark
Modeling and Interpreting CTG Curves from Labor Using Machine Learning and Pattern Recognition
(
- Master (Two yrs)
-
Mark
Estimating the risk of insurance fraud based on tonal analysis
(
- Master (Two yrs)
-
Mark
Autoencoder outlier detection during the Covid-19 vaccination campaign
2022) FYTM03 20221(
Computational Biology and Biological Physics - Undergoing reorganization
Department of Astronomy and Theoretical Physics - Undergoing reorganization- Master (Two yrs)
-
Mark
Impact of model architecture and data distribution on self-supervised federated learning
(
- Master (Two yrs)
-
Mark
Biologically informed neural network for subphenotype classification in septic AKI
(
- Master (Two yrs)
-
Mark
An Investigation of Methods for Flow Measurements in a Gasketed Plate Heat Exchanger for Predictive Maintenance
(
- Master (Two yrs)
-
Mark
Multi-Camera Multi-Person Tracking Using Reinforcement Learning
(
- Master (Two yrs)
-
Mark
Volatility Timing using Machine Learning - An Application to a Signal Based Portfolio
(
- Master (One yr)
-
Mark
Forecasting energy consumption in Sweden
(
- Bach. Degree
-
Mark
Domain adaptation for white blood cell classification - Bridging the gap created by optical hardware upgrades
(
- Master (Two yrs)
-
Mark
Machine learning framework for maxillofacial preoperative planning
(
- Bach. Degree
-
Mark
Predicting preterm birth with machine learning methods
(
- Master (One yr)
-
Mark
Image classification for improving an IR-signal classification in a semi-supervised learning pipeline
(
- Master (Two yrs)
-
Mark
Comparison of Machine Learning Algorithms in Predicting the Age Distribution Parameters of H&M Product Customers
(
- Master (One yr)
-
Mark
Decarbonisation potential of multi-family Swedish Homes
2022) AEBM01 20221(
Division of Energy and Building Design
Department of Architecture and Built Environment- Master (Two yrs)
-
Mark
Modeling German Energy Market Hourly Profiles with a Focus on Variable Renewable Energy
(
- Master (One yr)
-
Mark
Pose classification of people using high resolution radar indoor
(
- Master (Two yrs)
-
Mark
Prognostisering av Restaurangförsäljning med Linjär Regression och Maskininlärning
(
- 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
Automatic text placement on maps using deep learning keypoint detection models
(
- Master (Two yrs)
-
Mark
Non-Destructive Biomass and Relative Growth Rate Estimation in Aeroponic Agriculture using Machine Learning
(
- Master (Two yrs)
-
Mark
Optimizing L2-regularization for Binary Classification Tasks
(
- Bach. Degree
-
Mark
Transforming Clinical Decision Support with AI
(
- Master (One yr)
-
Mark
Gunshot Detection from Audio Streams in Portable Devices
(
- Master (Two yrs)
-
Mark
Assessment of hip deformities during childhood: a combined approach of Machine Learning and Finite Element Analysis
(
- Master (Two yrs)
-
Mark
Predicting Acute Kidney Injury In Sepsis Patients: A Machine Learning Approach
(
- 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
Federated Learning in Autonomous Vehicles Setting- GDPR perspective
(
- Master (Two yrs)