131. On the interpretability of machine learning models and experimental feature selection in case of multicollinear dataFranc Drobnič, Andrej Kos, Matevž Pustišek, 2020, izvirni znanstveni članek Ključne besede: interpretable machine learning, feature multicollinearity, random forests, feature selection, feature importance, greedy feature selection Celotno besedilo (datoteka, 1,52 MB) Gradivo ima več datotek! Več... |
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133. Motivating students for ear-training with a rhythmic dictation applicationMatevž Pesek, Lovro Suhadolnik, Peter Šavli, Matija Marolt, 2020, izvirni znanstveni članek Ključne besede: music theory education, ear training, rhythmic dictation, music information retrieval, gamification, e-learning, user evaluation Celotno besedilo (datoteka, 1,19 MB) Gradivo ima več datotek! Več... |
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135. Machine learning-assisted non-destructive plasticizer identification and quantification in historical PVC objects based on IR spectroscopyTjaša Rijavec, David Ribar, Jernej Markelj, Matija Strlič, Irena Kralj Cigić, 2022 Ključne besede: PVC, chromatography, machine learning, classification, regression, spectroscopy, plasticizers, heritage science, preventive conservation Celotno besedilo (datoteka, 4,90 MB) Gradivo ima več datotek! Več... |
136. Slovenian validation of the childrenʼs perceived use of self-regulated learning inventoryLuka Komidar, Anja Podlesek, Tina Pirc, Sonja Pečjak, Katja Depolli Steiner, Melita Puklek Levpušček, Alenka Gril, Bojana Boh Podgornik, Aleš Hladnik, Alenka Kavčič, Ciril Bohak, Žiga Lesar, Matija Marolt, Matevž Pesek, Cirila Peklaj, 2022, izvirni znanstveni članek Ključne besede: self-regulated learning, academic achievement, educational psychology, elementary schools, test adaptation, test validity, measurement invariance, Children's perceived use of self-regulated learning inventory CP-SRLI, primary education, test adaptation, validity, measurement invariance Celotno besedilo (datoteka, 314,70 KB) |
137. An architecture for sim-to-real and real-to-sim experimentation in robotic systemsRok Vrabič, Gašper Škulj, Andreja Malus, Dominik Kozjek, Luka Selak, Drago Bračun, Primož Podržaj, 2021, objavljeni znanstveni prispevek na konferenci Ključne besede: robotics, simulation, machine learning, reinforcement learning, digital twin Celotno besedilo (datoteka, 1,65 MB) Gradivo ima več datotek! Več... |
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140. 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... |