1. Improving convolutional neural networks performance for image classification using test time augmentationIbrahem Kandel, Mauro Castelli, 2021, original scientific article Keywords: image classification, convolutional neural networks, transfer learning, test time 29 augmentation, deep learning, ensemble learning Full text (file, 1,82 MB) This document has more files! More... |
|
3. Automatic spiral analysis for objective assessment of motor symptoms in Parkinson's diseaseMevludin Memedi, Aleksander Sadikov, Vida Groznik, Jure Žabkar, Martin Možina, Filip Bergquist, Anders Johansson, Dietrich Haubenberger, Dag Nyholm, 2015, original scientific article Keywords: digital spiral analysis, Parkinson's disease, bradykinesia, dyskinesia, remote monitoring, machine learning, motor
fluctuations, objective measures, time series analysis, visualization Full text (file, 708,49 KB) This document has more files! More... |
|
5. Does machine learning offer added value vis-à-vis traditional statistics?Montserrat González Garibay, Andrej Srakar, Tjaša Bartolj, Jože Sambt, 2022, original scientific article Keywords: statistics, machine learning, random forests, survival analysis, retirement, time-dependent covariates Full text (file, 2,29 MB) This document has more files! More... |
6. Difference in the attitude of students and employees of the University of Ljubljana towards work from home and online educationVarineja Drašler, Jasna Bertoncelj, Mojca Korošec, Tanja Pajk Žontar, Nataša Poklar Ulrih, Blaž Cigić, 2021, original scientific article Keywords: students, educators, university, work from home, online education, distance learning, commute time, pandemic, COVID-19, Slovenia Full text (file, 2,36 MB) This document has more files! More... |
|
8. Predicting Bitcoin’s volatilityJan Pristovnik, 2022, master's thesis Keywords: volatility, forecasting, time series, cryptocurrency, time-series analysis, machine learning, recurrent neural networks, LSTM Full text (file, 10,26 MB) |
|
10. A comparison of click-through rate prediction models in real-time-biddingAnže Alič, 2023, master's thesis Keywords: artificial intelligence, machine learning, click-through rate prediction, real-time bidding, incremental learning, big data, demand-side platform Full text (file, 1,51 MB) |