Lõputööde teemad (sisestamine)
Valminud lõputööd
(sisestamine)
Alljärgnev loend informeerib Teid võimalikest lõputööde teemadest. Kui olete leidnud sobiva teema, võtke ühendust selle pakkujaga, et välja selgitada antud teemaga seotud eeldusi ja nõudeid. Alles pärast kokkulepet juhendajaga saate valitud teemal kirjutada oma bakalaureuse- või magistritöö.
Aasta:
2023-2024
2022-2023
2021-2022
2020-2021
2019-2020
2018-2019
2017-2018
2016-2017
2015-2016
2014-2015
KÕIK
| Ettevõte | Teema | Periood | Kandideerimise email | ||
|---|---|---|---|---|---|
| Magister, Bakalaureus (11) | |||||
| ATI | Machine learning / Statistical modeling: Modeling the CRISPR/Cas9 genome editing system | 2016-2017 | leopold.parts@ut.ee | Detailid | |
| ATI | [Preliminarily taken] Machine learning / Statistical modeling: Predicting human health from genomic and life history information | 2016-2017 | leopold.parts@ut.ee | Detailid | |
| ATI | Machine learning / Computer science: Analyzing human induced pluripotent stem cell images with deep neural networks | 2016-2017 | leopold.parts@ut.ee | Detailid | |
| Tartu Observatoorium | Homogeensete objektide piiride eristamine aerofotodelt ja laserskaneerimise andmestikust näidistel põhineva masinõppe abil / Application of machine learning for the mapping of homogeneous patches from aerial images and laser scanning data | 2018-2019 | Mait.Lang@to.ee | Kuulutus | Detailid |
| Distributed and Pervasive Systems Group | Wisdom of the Mobile/Pervasive Crowd | 2019-2020 | huber.flores@ut.ee | Detailid | |
| Machine Learning | Topics in Machine Learning | 2021-2022 | meelis.kull@ut.ee | Detailid | |
| OÜ KappaZeta | Image to image transition models for Earth Observation data | 2021-2022 | kaupo.voormansik@kappazeta.ee | Detailid | |
| KappaZeta Ltd | AI-based speckle suppression for SAR data | 2021-2022 | kaupo.voormansik@kappazeta.ee | Detailid | |
| Machine Learning | Topics in Machine Learning | 2022-2023 | meelis.kull@ut.ee | Detailid | |
| Computational Music Analysis and Recommendation | Contrastive Self-supervised learning for music | 2022-2023 | anna.aljanaki@ut.ee | Detailid | |
| Geometric Machine Learning | Training Compute-Optimal Large ML Models | 2022-2023 | kallol.roy@ut.ee | Detailid | |
| Magister (6) | |||||
| The Estonian Rescue Board (Päästeamet) | Prediction of the accidents by data enrichment of the Estonian rescue board with public resources | 2015-2016 | anna.leontjeva@ut.ee | Kuulutus | Detailid |
| Computational Neuroscience Lab | Deep Autoencoder on EEG Data | 2015-2016 | ilya.kuzovkin@gmail.com | Kuulutus | Detailid |
| Speak Languages | Machine Learning in the Cloud | 2016-2017 | chris@speaklanguages.com | Kuulutus | Detailid |
| KappaZeta Ltd | Modelling green-house gas emission and sinks using Earth Observation data | 2021-2022 | kaupo.voormansik@kappazeta.ee | Detailid | |
| Computational music analysis and recommendation | Explainability in music deep learning models | 2022-2023 | anna.aljanaki@ut.ee | Detailid | |
| Bolt | Machine learning models for map element detections | 2022-2023 | sophie.laturnus@bolt.eu | Detailid | |