1. Improving convolutional neural networks performance for image classification using test time augmentationIbrahem Kandel, Mauro Castelli, 2021, izvirni znanstveni članek Ključne besede: image classification, convolutional neural networks, transfer learning, test time 29 augmentation, deep learning, ensemble learning Celotno besedilo (datoteka, 1,82 MB) Gradivo ima več datotek! Več... |
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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, izvirni znanstveni članek Ključne besede: digital spiral analysis, Parkinson's disease, bradykinesia, dyskinesia, remote monitoring, machine learning, motor
fluctuations, objective measures, time series analysis, visualization Celotno besedilo (datoteka, 708,49 KB) Gradivo ima več datotek! Več... |
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5. Does machine learning offer added value vis-à-vis traditional statistics?Montserrat González Garibay, Andrej Srakar, Tjaša Bartolj, Jože Sambt, 2022, izvirni znanstveni članek Ključne besede: statistics, machine learning, random forests, survival analysis, retirement, time-dependent covariates Celotno besedilo (datoteka, 2,29 MB) Gradivo ima več datotek! Več... |
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, izvirni znanstveni članek Ključne besede: students, educators, university, work from home, online education, distance learning, commute time, pandemic, COVID-19, Slovenia Celotno besedilo (datoteka, 2,36 MB) Gradivo ima več datotek! Več... |
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8. Predicting Bitcoin’s volatilityJan Pristovnik, 2022, magistrsko delo/naloga Ključne besede: volatility, forecasting, time series, cryptocurrency, time-series analysis, machine learning, recurrent neural networks, LSTM Celotno besedilo (datoteka, 10,26 MB) |
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10. A comparison of click-through rate prediction models in real-time-biddingAnže Alič, 2023, magistrsko delo Ključne besede: artificial intelligence, machine learning, click-through rate prediction, real-time bidding, incremental learning, big data, demand-side platform Celotno besedilo (datoteka, 1,51 MB) |