81. Electricity price modelling and the role of new developments in electricity marketsMarko Halužan, 2023, doctoral dissertation Keywords: EU, energetics, electricity, market, price, models, regulation, economic forecasting, machine learning, renewable energy resources, cases Full text (outside link) |
82. 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) |
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84. Brain Tumor Segmentation on MRI BraTS Data using convolutional neural networks: experimental study and comparisonIrena Dragičević, 2023, master's thesis Keywords: master's theses, radiologic technology, convolutional neural networks, U-Net, BraTS, glioma segmentation, multimodal segmentation, medical image segmentation, machine learning Full text (file, 4,11 MB) |
85. A systematic literature review on under-frequency load shedding protection using clustering methodsTadej Škrjanc, Rafael Mihalič, Urban Rudež, 2023, review article Keywords: literature review, under-frequency load shedding, t-distributed stochastic neighbour embedding, principal component analysis, machine learning, clustering, power system protection, power system stability, blackouts, power system resilience Full text (file, 20,47 MB) This document has more files! More... |
86. Enhancing food composition databasesMarko Možina, 2023, undergraduate thesis Keywords: food composition database, nutrient values, missing data, graph machine learning, knowledge graph embeddings, data exploration, missing value imputation, ampligraph Full text (file, 991,71 KB) |
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90. Multi-task learning in programmatic advertisingDOMEN VREŠ, 2023, master's thesis Keywords: artificial intelligence, machine learning, multi-task learning, real-time bidding, viewability prediction, click-through rate prediction, conversion rate prediction, deep & cross network, cross-stitch layer, soft attention, uncertainty based loss weighing Full text (file, 1,39 MB) |