Department of Information Technology

Links to the project reports

Project #1a: Statistical methods and machine learning in football
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Project #1c: Statistical methods and machine learning in football
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Project #2: Data-driven modeling of avascular tumors
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Project #4: Supervised machine learning in privacy-preserving decentralized environments
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Project #6: Summation-By-Parts in time
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Project #7: Assessment of Julia vs. Python for a cell mechanics application
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Project #08a: Road detection and characterization from LIDAR data
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Project #08b: Road detection and characterization from LIDAR data
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Project #10a: Research the use of Finite Difference Neural Net simulation concept for Geological Process Modeling
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Project #10b: Research the use of Finite Difference Neural Net simulation concept for Geological Process Modeling
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Project #14: Development and deployment of a deep learning model for segmentation of liver scans
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Project #15a: Estimating Certainty of Deep Learning - implementation and performance analysis
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Project #15b: Estimating Certainty of Deep Learning - implementation and performance analysis
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Project #16a: Rotation equivariant CNNs-implementation and performance analysis of different approaches
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Project #16b: Rotation equivariant CNNs-implementation and performance analysis of different approaches
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Project #19: Real-time forecasting of bus arrivals using GPS-data
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Project #20: Data driven model for truck driver behavior
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Project #21: Using concurrency programming to implement scalable community detection algorithms
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Project #24: Automated diagnosis of neurogenerative disease from PET images of the brain
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Updated  2020-02-09 14:42:05 by Maya Neytcheva.