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93. Human-centered deep compositional model for handling occlusionsGregor Koporec, Janez Perš, 2023, original scientific article Keywords: computer vision, deep learning, convolutional neural networks, hierarchical compositional model, occlusion, discriminability, generalizability, interpretability, domain knowledge, instance segmentation, occlusion handling Full text (file, 2,69 MB) This document has more files! More... |
94. 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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96. Bias in the estimation of seismic risk for municipal building stocks due to limited dataAnže Babič, Jure Žižmond, Matjaž Dolšek, 2023, original scientific article Keywords: seismic risk, loss estimation, bias, building data knowledge level, municipal building stock, limited data, earthquakes Full text (file, 4,23 MB) This document has more files! More... |
97. Food safety knowledge among professional food handlers in SloveniaMojca Jevšnik, Andrej Kirbiš, Stanka Grebenc, Urška Jamnikar Ciglenečki, Andrej Ovca, Matic Kavčič, 2023, original scientific article Keywords: food safety, food handler, knowledge, hygiene Full text (file, 289,65 KB) This document has more files! More... |
98. Know-why? and know-how? in the development of nuclear talentsLeon Cizelj, Ivo Kljenak, Iztok Tiselj, 2023, original scientific article Keywords: education, training, basic research, applied research, conceptual knowledge, procedural knowledge, nuclear engineering, careers of nuclear graduates Full text (file, 3,39 MB) This document has more files! More... |
99. Effectiveness of flipped learning and teachingRomina Plešec Gasparič, Marko Glavan, Mojca Žveglič Mihelič, Milena Valenčič Zuljan, 2024, original scientific article Keywords: didactic innovation, flipped learning and teaching, mathematics, knowledge retention, students’ perceptions, primary school students Full text (file, 631,28 KB) This document has more files! More... |
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