1. Network structural properties and their application to missing property predictionKlemen Simonič, 2013, undergraduate thesis Keywords: Linked Data, graph mining, network, structural properties, missing properties, prediction, computer science, computer and information science, computer science and mathematics, diploma Full text (file, 1,06 MB) |
2. Analiza in napoved pomikov za predore, grajene v premo-karbonskih skrilavcihJure Klopčič, 2009, doctoral dissertation Keywords: civil enginering, doctoral thrsis, tunnelling, 3D displacement measurements, automatic system for data processing, monitoring data, exploratory tunnel, 3D displacement measurements ahead of the faca, automatic target recognition (ATR), 3D numerical back calculations, extrapolation prediction method, rock mass anisotropy Full text (file, 14,52 MB) |
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5. Estimation of the driving style based on the usersʹ activity and environment influenceMikhail Sysoev, Andrej Kos, Jože Guna, Matevž Pogačnik, 2017, original scientific article Keywords: aggressive driving, user environment data, activity data, driving style prediction Full text (file, 1,95 MB) This document has more files! More... |
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7. Organizing and analyzing data from the SHARE study with an application to age and sex differences in depressive symptomsLara Lusa, Marianne Huebner, 2021, original scientific article Keywords: statistical data, depression, initial data analysis, SHARE, data cleaning, prediction modelling, older adults, sex differences, Europe Full text (file, 1001,56 KB) This document has more files! More... |
8. Data assimilation for improved discharge estimates with the wflow_sbm model: a case study of the Overijsselse Vecht river (The Netherlands)Kristina Koronaci, 2022, master's thesis Keywords: civil engineering, master thesis, data assimilation, ensemble Kalman Filter, wflow_sbm model, discharge prediction, uncertainty, Vecht River, OpenDA Full text (file, 7,19 MB) |
9. 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) |