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- 2024
-
Mark
Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
(
- Master (Two yrs)
-
Mark
Virtual H&E Staining Using PLS Microscopy and Neural Networks
(
- Master (Two yrs)
-
Mark
Multivariate time series classification in time-sensitive environments using deep learning
(
- Master (Two yrs)
-
Mark
Uncertainty Quantification in Deep Learning for Breast Cancer Classification in Point-of-Care Ultrasound Imaging
(
- Master (Two yrs)
- 2023
-
Mark
Investigating the Reciprocal Relationship between News and Parliament: A Study of Strikes in the UK Using Deep-learning Sentiment Analysis and Vector Autoregression
(
- Master (Two yrs)
-
Mark
Deep Learning Based Out-of-focus Detection on Surveillance Footage
(
- Master (Two yrs)
-
Mark
Fog detection using an artificial neural network
(
- Master (Two yrs)
-
Mark
Quality enhancement of time-resolved computed tomography scans with cycleGAN
(
- Master (Two yrs)
-
Mark
Automated Interpretation of Lung Ultrasound for COVID-19 and Tuberculosis diagnosis
(
- Master (Two yrs)
-
Mark
Urban tree canopy mapping -an open source deep learning approach
2023) In Master Thesis in Geographical Information Science GISM01 20231(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
Self-supervised representation learning from electrocardiogram data for medical applications
(
- Master (Two yrs)
-
Mark
Identification of Fibers in Micro-CT Images of Paperboard Using Deep Learning
(
- Prof. qual. >4 yrs
-
Mark
Predicting Protein Stability with Machine Learning
(
- Prof. qual. >4 yrs
-
Mark
Implementations and evaluation of machine learning algorithms on a microcontroller unit for myoelectric prosthesis control
(
- Master (Two yrs)
-
Mark
Cell Identification from Microscopy Images using Deep Learning on Automatically Labeled Data
(
- Master (Two yrs)
-
Mark
Beyond Traditional Tomography: X-ray Multi-projection Imaging for Additive Manufacturing
(
- Bach. Degree
-
Mark
A spatio-temporal graph neural network framework for predicting usage efficiency of e-scooter sharing services
(
- Master (Two yrs)
-
Mark
Personalized Investment Recommendations Using Recommendation Systems
(
- Master (One yr)
-
Mark
Classification of IKEA home furnishing items into design style groups using deep learning methods
(
- Master (One yr)
- 2022
-
Mark
Segmentation, Classification and Tracking of Objects in LiDAR Point Cloud Data Using Deep Learning
(
- Master (Two yrs)
-
Mark
Towards Deep Learning Accelerated Sparse Bayesian Frequency Estimation
(
- Master (Two yrs)
-
Mark
Beamformed Channel Matrix Positioning using 5G Testbench CSI data with a Deep-Learning Pipeline
(
- Master (Two yrs)
-
Mark
Radar Detection Using Deep Learning
(
- Master (Two yrs)
-
Mark
Pre-classification of Hairy Cells Using Supervised Contrastive Learning
(
- Master (Two yrs)
-
Mark
Gene Expression Guided Distance Metric Learning for Breast Cancer Whole Slide Image 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
Voice Feature Extraction Using Siamese Neural Networks for Detecting Impersonators
(
- Master (Two yrs)
-
Mark
Classifying Hypernasality for Children with a Cleft Palate using a Convolutional Neural Network
(
- Master (Two yrs)
-
Mark
Investigating Machine Learning for verification of AMBA APB protocol.
(
- Master (Two yrs)
-
Mark
Virtual Staining of Blood Cells using Point Light Source Illumination and Deep Learning
(
- Master (Two yrs)
-
Mark
Unsupervised Anomaly Detection for Humidity Sensor Data
(
- Master (One yr)
-
Mark
Targeted Improvement of a Deep Learning Object Detector Using Synthetic Training Data
(
- Master (Two yrs)
-
Mark
Pose classification of people using high resolution radar indoor
(
- Master (Two yrs)
-
Mark
Domain adaptation for white blood cell classification - Bridging the gap created by optical hardware upgrades
(
- Master (Two yrs)
- 2021
-
Mark
Evaluation of Real-Time Single-Object Tracking Algorithms in a Non-Stationary Robotic Agent
(
- Master (Two yrs)
-
Mark
Learned Multi-Sensor Indoor Positioning of Mobile Devices
(
- Master (Two yrs)
-
Mark
Segmentation and Prediction of Mutation Status of Malignant Melanoma Whole-slide Images using Deep Learning
(
- Master (Two yrs)
-
Mark
Quantification of Fetal Volume in Magnetic Resonance Images Using Deep Learning
(
- Master (Two yrs)
-
Mark
Visual assessments of Postural Orientation Errors using ensembles of Deep Neural Networks
(
- Master (Two yrs)
-
Mark
Automatic Detection of Rouleau Formations Using Image Processing and Deep Learning
(
- Master (Two yrs)
-
Mark
Exploring Deep Learning Approaches to Cleft Lip and Palate Speech
(
- Master (Two yrs)
-
Mark
Deep Learning on a Microcontroller Unit in a Hand-Prosthesis Control Context
(
- Master (Two yrs)
-
Mark
Domain Adaptation for Combined CT and CBCT Deep Learning Segmentation
(
- Master (Two yrs)
-
Mark
Generative Adversarial Networks in Lip-Synchronized Deepfakes for Personalized Video Messages
(
- Master (Two yrs)
-
Mark
Automatic Left Ventricle Segmentation of Long-Axis Cardiac MRI-Images
(
- Master (Two yrs)
-
Mark
Automated 3D Bone Segmentation using Deep Learning in Scoliosis
(
- Master (Two yrs)
-
Mark
Moving Target Classification with Radar Point-Clouds and Supervised Contrastive Learning
(
- Master (Two yrs)
-
Mark
Development of a deep learning method for soil moisture estimation at high spatial and temporal resolution using satellite data
(
- Master (Two yrs)
-
Mark
Using Machine Learning to Detect Grapevine Disease in Wine Production
(
- Master (Two yrs)
-
Mark
Data Augmentation to Improve Cross-Domain Generalization in Deep Learning MRI Segmentation
(
- Master (Two yrs)
- 2020
-
Mark
Deep Learning Approach to Material Properties
(
- Bach. Degree
-
Mark
Investigating the Use of Machine Learning to Detect Unilateral Arm Weakness
(
- Master (Two yrs)
-
Mark
Using Opaque AI for Smart Grids
(
- Bach. Degree
-
Mark
Forecasting the Regulating Price in the Finnish Energy Market using the Multi-Horizon Quantile Recurrent Neural Network
(
- Master (Two yrs)
-
Mark
Analysing pedestrian movement with the Flowity software
(
- Bach. Degree
-
Mark
Implementation of a Deep Learning Inference Accelerator on the FPGA.
(
- Master (Two yrs)
-
Mark
Blood Cell Data Augmentation using Deep Learning Methods
(
- Master (Two yrs)
-
Mark
Adaptive Reference Images for Blood Cells using Variational Autoencoders and Self-Organizing Maps
(
- Master (Two yrs)
-
Mark
Semi-Supervised Medical Image Segmentation with Equivariance Regularization
(
- Master (Two yrs)
-
Mark
Detecting Deepfakes and Forged Videos Using Deep Learning
(
- Master (Two yrs)
-
Mark
Detecting Offside Position using 3D Reconstruction
(
- Master (Two yrs)
-
Mark
Real-world low-light image enhancement using Variational Autoencoders
(
- Master (Two yrs)
-
Mark
JPEG-deblocking of Blood Cell Images using Deep Learning
(
- Master (Two yrs)
-
Mark
Semantic and Instance Segmentation of Radar Point Clouds using Deep Learning
(
- Master (Two yrs)
-
Mark
Automated bone segmentation in computed tomography using deep learning with distance maps
(
- Master (Two yrs)
-
Mark
Cost-Optimized Event Detection in Football Video
(
- Master (Two yrs)
-
Mark
Segmentation of the Common Carotid Artery from Ultrasound Images using UNet
(
- Master (Two yrs)
-
Mark
A Hardware Accelerated Low Power DSP for Recurrent Neural Networks
(
- Master (Two yrs)
-
Mark
A Novel Perceptual Metric in Deep Learning
(
- Master (Two yrs)
-
Mark
Anonymisation of Image Data Using Deep Learning
(
- Master (Two yrs)
-
Mark
Generic Object Tracking with NVIDIA Jetson Nano Using Siamese Convolutional Neural Networks
(
- Master (Two yrs)
- 2019
-
Mark
Classification of High Risk Prostate Cancer using Deep Learning
(
- Master (Two yrs)
-
Mark
Hierarchical Clustering of Time Series using Gaussian Mixture Models and Variational Autoencoders
(
- Master (Two yrs)
-
Mark
Latent Space Growing of Generative Adversarial Networks
(
- Master (Two yrs)
-
Mark
License Plate Detection Utilizing Synthetic Data from Superimposition
(
- Master (Two yrs)
-
Mark
Exploring Object Detection and Recognition Methods for Automated Book Inventory
(
- Master (Two yrs)
-
Mark
Music recommendations with deep learning
(
- Master (Two yrs)
-
Mark
Deep Learning techniques for classification of data with missing values
(
- Master (One yr)
-
Mark
Forecasting the USD/SEK exchange rate using deep neural networks
(
- Bach. Degree
-
Mark
Deep Distributional Temporal Difference Learning for Game Playing
(
- Master (Two yrs)
-
Mark
Convolutional Neural Network Emulators for DGVMs - A Supervised Machine Learning Approach to Big Data Processing
(
- Bach. Degree
-
Mark
Spatio-Temporal Noise Filtering using Convolutional Neural Networks with a Realistic Noise Model under Low-Light Conditions
(
- Master (Two yrs)
-
Mark
Future Frame Prediction with Generative Adversarial Networks
(
- Master (Two yrs)
-
Mark
Detection of Archaeological Sites from Aerial Imagery using Deep Learning
(
- Master (Two yrs)
-
Mark
AI-based machine vision for retail self-checkout system
(
- Master (Two yrs)
-
Mark
Deblurring of Cell Images Using Generative Adversarial Networks
(
- Master (Two yrs)
-
Mark
Artificial Neural Networks to Solve Inverse Problems in Quantum Physics
(
- Master (Two yrs)
-
Mark
Two subtypes of lung cancer classification from histopathology images based on deep learning
(
- Master (Two yrs)
- 2018
-
Mark
Synthesizing Training Data for Object Detection Using Generative Adversarial Networks
(
- Master (Two yrs)
-
Mark
sEMG Classication with Convolutional Neural Networks: A Multi-Label Approach for Prosthetic Hand Control
(
- Master (Two yrs)
-
Mark
Estimating Median Visiting Times using Re-identification
(
- Master (Two yrs)
-
Mark
Deep Learning Algorithms for Cardiac Image Classification and Landmark Detection
(
- 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
Generation of Artificial Training Data for Deep Learning
(
- Master (Two yrs)
-
Mark
Inflated Multinomial Matching for Anchor-Free Object Detection
(
- Master (Two yrs)
-
Mark
An investigation of Recent Deep Learning Techniques Applied to Blood Cell Image Analysis
(
- Master (Two yrs)
-
Mark
Deep Learning to Predict Hip Fracture Risk from Clinical DXA-images
(
- Master (Two yrs)
-
Mark
Transferability of features from multiple depths of a deep convolutional neural network
(
- Master (Two yrs)
- 2017
-
Mark
Deep Learning Methods for Streaming Image Reconstruction in Fixed-camera Settings
(
- Master (Two yrs)
-
Mark
Instance-level Semantic Segmentation by Deep Normalized Cuts
(
- Master (Two yrs)
-
Mark
Rotational Invariant Convolutional Neural Networks for Prostate Cancer Classification
(
- Master (Two yrs)
-
Mark
Convolutional Neural Networks for Classification of Prostate Cancer Metastases Using Bone Scan Images
(
- Master (Two yrs)
-
Mark
Segmentation in Skeletal Scintigraphy Images using Convolutional Neural Networks
(
- Master (Two yrs)
-
Mark
Analysis of HLA-A, -B and -DR Alleles as Risk Factors for One-Year Mortality in Heart Transplants Using Artificial Neural Networks
2017) FYTM03 20171(
Department of Astronomy and Theoretical Physics - Undergoing reorganization
Computational Biology and Biological Physics - Undergoing reorganization- Master (Two yrs)
-
Mark
Stand-alone music creation using machine learning
(
- Master (Two yrs)
- 2016
-
Mark
Classification in Bone Scintigraphy Images Using Convolutional Neural Networks
(
- Master (Two yrs)
-
Mark
Face Recognition Based on Embedded Systems
(
- Master (Two yrs)
-
Mark
Deep Neural Networks for Dynamic Visual Data
(
- Master (Two yrs)
-
Mark
Distributing a Neural Network on Axis Cameras
(
- Prof. qual. >4 yrs
-
Mark
Prostate Cancer Classification using Convolutional Neural Networks
(
- Master (Two yrs)
-
Mark
Recognizing Microscopic Structures: Dense Semantic Segmentation of Multiple Histopathological Classes using Fully Convolutional Neural Networks
(
- Master (Two yrs)
-
Mark
Deep Learning with a DAG Structure for Segmentation and Classification of Prostate Cancer
(
- Master (Two yrs)
- 2015
-
Mark
On-line Handwritten Signature Verification using Machine Learning Techniques with a Deep Learning Approach
(
- Master (Two yrs)