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- 2023
-
Mark
Deep Learning Based Out-of-focus Detection on Surveillance Footage
(
- Master (Two yrs)
-
Mark
Trigger-Level Multiple Electron Event Classification with LDMX using Artificial Neural Networks
(
- Master (Two yrs)
- 2022
-
Mark
Classifying Hypernasality for Children with a Cleft Palate using a Convolutional Neural Network
(
- Master (Two yrs)
-
Mark
Machine learning framework for maxillofacial preoperative planning
(
- Bach. Degree
-
Mark
Multimodal Speech Emotion Recognition for Swedish Customer Service Conversations
(
- Master (Two yrs)
-
Mark
Observation Based Modeling of Liquid Slosh in Drop Tests
(
- Master (Two yrs)
-
Mark
Framing the 2020 Black Lives Matter Protests: a socio-legal study of partisan news coverage
(
- Master (Two yrs)
-
Mark
Image classification for improving an IR-signal classification in a semi-supervised learning pipeline
(
- Master (Two yrs)
-
Mark
Automatic text placement on maps using deep learning keypoint detection models
(
- Master (Two yrs)
-
Mark
FEW-SHOT CLASSIFICATION OF EEG WITH QUASI-INDUCTIVE TRANSFER LEARNING
(
- Bach. Degree
-
Mark
Identifying Piggybacking with Radar and Neural Networks
(
- Master (Two yrs)
- 2021
-
Mark
Statistics and Machine Learning for Classification of Emotional and Semantic Content of EEG
(
- Master (Two yrs)
-
Mark
Automatic Left Ventricle Segmentation of Long-Axis Cardiac MRI-Images
(
- Master (Two yrs)
-
Mark
Exploring Deep Learning Approaches to Cleft Lip and Palate Speech
(
- Master (Two yrs)
-
Mark
The state of media: An analysis of strategic narratives in CNN and RT’s reporting on the Syrian crisis
(
- 2nd term paper
- 2020
-
Mark
Segmentation of the Common Carotid Artery from Ultrasound Images using UNet
(
- Master (Two yrs)
-
Mark
Automated Histopathological Evaluation of Tumor Images using CNNs
(
- Master (Two yrs)
-
Mark
Live Commenting of Football Games Using Machine Learning and Natural Language Generation
(
- Master (Two yrs)
-
Mark
Estimation of Red Blood Cell-Count using Neural Networks
(
- Master (Two yrs)
- 2019
-
Mark
Classification of High Risk Prostate Cancer using Deep Learning
(
- Master (Two yrs)
-
Mark
Identification of Neutrons Using Digitized Waveforms
(
- Master (Two yrs)
-
Mark
Deep Learning techniques for classification of data with missing values
(
- Master (One yr)
-
Mark
DSP Design With Hardware Accelerator For Convolutional Neural Networks
(
- Master (Two yrs)
-
Mark
Spatio-Temporal Noise Filtering using Convolutional Neural Networks with a Realistic Noise Model under Low-Light Conditions
(
- Master (Two yrs)
- 2018
-
Mark
Exploring capsule network
2018) FYTK02 20181(
Computational Biology and Biological Physics - Undergoing reorganization
Department of Astronomy and Theoretical Physics - Undergoing reorganization- Bach. Degree
-
Mark
Vehicle Counting using Video Metadata
(
- Prof. qual. >4 yrs
-
Mark
Audio representation for environmental sound classification using convolutional neural networks
(
- Master (Two yrs)
-
Mark
Automatic Gleason Classification of Prostate Cancer - Classification of Small Regions
(
- Master (Two yrs)
-
Mark
Evaluation of Artificial Neural Networks for Predictive Maintenance
(
- Prof. qual. >4 yrs
-
Mark
Application of convolutional neural networks for fingerprint recognition
(
- Master (Two yrs)
- 2017
-
Mark
A Case Study of the “Dağlıca Event” From Chaos to Election Victory : Media and Politics of Fear in the Political Communication of Terrorism in Turkey
(
- Master (Two yrs)
-
Mark
Humanitär kris eller en humanitär insats?
(
- Bach. Degree
- 2016
-
Mark
Recognizing Microscopic Structures: Dense Semantic Segmentation of Multiple Histopathological Classes using Fully Convolutional Neural Networks
(
- Master (Two yrs)
-
Mark
Prostate Cancer Classification using Convolutional Neural Networks
(
- Master (Two yrs)
-
Mark
Deep Learning with a DAG Structure for Segmentation and Classification of Prostate Cancer
(
- Master (Two yrs)
-
Mark
Classification in Bone Scintigraphy Images Using Convolutional Neural Networks
(
- Master (Two yrs)
- 2015
-
Mark
On-line Handwritten Signature Verification using Machine Learning Techniques with a Deep Learning Approach
(
- Master (Two yrs)