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63. A new dataset and a distractor-aware architecture for transparent object trackingAlan Lukežič, Žiga Trojer, Jiří Matas, Matej Kristan, 2024, izvirni znanstveni članek Ključne besede: visual object tracking, tracking transparent objects, deep learning, distractors
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64. Extensive T1-weighted MRI preprocessing improves generalizability of deep brain age prediction modelsLara Dular, Franjo Pernuš, Žiga Špiclin, 2024, izvirni znanstveni članek Ključne besede: magnetic resonance imaging, brain age prediction, image preprocessing, deep model regression, comparative study, quantitative evaluation, brain age, MRI preprocessing, deep regression models, linear mixed effect models, dataset bias, transfer learning, reproducible research, UK Biobank
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65. Machine learning heralding a new development phase in molecular dynamics simulationsEva Prašnikar, Martin Ljubič, Andrej Perdih, Jure Borišek, 2024, pregledni znanstveni članek Ključne besede: molecular dynamics simulations, machine learning, deep learning, artificial intelligence
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66. Deep Face DecoderJanez Križaj, Richard O. Plesh, Mahesh Banavar, Stephanie Schuckers, Vitomir Štruc, 2024, izvirni znanstveni članek Ključne besede: deep face templates, template inversion, face recognition, deep learning, explainability, interpretability
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68. Adaptive data-driven subsampling for efficient neural network inferenceAlina Luminita Machidon, Veljko Pejović, 2024, izvirni znanstveni članek Ključne besede: nonuniform sampling, compressive sensing, deep learning, EEG classification, speech recognition, image classification
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69. HaN-SegGašper Podobnik, Bulat Ibragimov, Elias Tappeiner, Chanwoong Lee, Jin Sung Kim, Zacharia Mesbah, Romain Modzelewski, Yihao Ma, Fan Yang, Mikołaj Rudecki, Marek Wodziński, Primož Peterlin, Primož Strojan, Tomaž Vrtovec, 2024, izvirni znanstveni članek Ključne besede: computational challenge, segmentation, deep learning, organs-at-risk, computed tomography, magnetic resonance, radiotherapy, head and neck cancer
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70. Dimensionality expansion for motif recognition in time series dataBlaž Bertalanič, 2024, doktorsko delo/naloga Ključne besede: time series classification, dimensionality expansion, deep learning, time series imaging, graph neural networks, time series to graph transformation, wireless anomaly detection, non-intrusive load monitoring, appliance classification, anomaly classification.
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