1 – 14 of 14
- show: 250
- |
- sort: year (new to old)
Close
Embed this list
<iframe src=" "
width=" "
height=" "
allowtransparency="true"
frameborder="0">
</iframe>
- 2024
-
Mark
Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
(
- Master (Two yrs)
- 2022
-
Mark
Classification of hyperkinesia in Parkinson patients using mobile sensors
(
- Master (Two yrs)
- 2021
-
Mark
A System for Affective Touch in Humanoid and Social Robotics
(
- Master (Two yrs)
-
Mark
Graffiti Detection using a variable temperature MOx sensor and Machine Learning
(
- Master (Two yrs)
- 2020
-
Mark
Check me out im a 15 year old rapper
(
- Bach. Degree
-
Mark
Predicting Tesla Stock Return Using Twitter Data - An Intraday View on the Relation between Twitter Dimensions and the Tesla Stock Return
(
- Master (Two yrs)
- 2019
-
Mark
User Equipment Characterization using Machine Learning
(
- Master (Two yrs)
-
Mark
High-risk Consumer Credit Scoring using Machine Learning Classification
(
- Master (Two yrs)
- 2018
-
Mark
Investigating Machine Learning Clustering Methods to Replicate the Human Idea of Structure to Documents
(
- Master (Two yrs)
- 2017
-
Mark
Machine learning and its applications within insurance hit rates and credit risk modelling
(
- Master (Two yrs)
-
Mark
Tampering Classification Using Accelerometer Data
(
- Master (Two yrs)
-
Mark
Shopping list generation with machine learning
(
- Prof. qual. >4 yrs
- 2015
-
Mark
Evaluation of pixel based and object based classification methods for land cover mapping with high spatial resolution satellite imagery, in the Amazonas, Brazil
(
- Master (Two yrs)
- 2011
-
Mark
The potential of support vector machine classification of land use and land cover using seasonality from MODIS satellite data
2011) In Lunds universitets Naturgeografiska institution - Seminarieuppsatser(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)