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71. Incremental matrix factorization for simultaneous learning from parallel data streams
Martin Jakomin, 2019, doctoral dissertation

Keywords: machine learning, matrix factorization, data streams, data fusion, incremental learning, recommender systems, synthetic data generator
Full text (file, 2,91 MB)

72. LEARNING OF OBJECT REPRESENTATIONS THROUGH ROBOTIC MANIPULATION
ROBERT BEVEC, 2019, doctoral dissertation

Keywords: active perception, interactive learning, foveated vision, active vision, autnomousobject learning, object recognition.
Full text (file, 11,73 MB)

73. Data stream fusion for predicting electricity price
Jaka Konda, 2019, master's thesis/paper

Keywords: machine learning, time-series forecasting, incremental learning, data fusion, data streaming, electricity price prediction
Full text (file, 1,09 MB)

74. The nature of management frameworks
Marko Budler, Peter Trkman, 2019, original scientific article

Keywords: informatics, management, learning organization
Full text (file, 496,67 KB) This document has more files! More...

75. Advanced PV performance modelling based on different levels of irradiance data accuracy
Julián Andrés Ascencio Vásquez, Jakob Bevc, Kristjan Reba, Kristijan Brecl, Marko Jankovec, Marko Topič, 2020, original scientific article

Keywords: PV performance modelling, data filtering, PV systems, machine learning, lightGBM
Full text (file, 5,05 MB) This document has more files! More...

76. Analysis of command and control connections using machine learning algorithms
JAKOB PREMRN, 2020, master's thesis/paper

Keywords: machine learning, imbalanced dataset, command and control, C2, C&C, Zeek, Random forest, Decision tree
Full text (file, 4,92 MB)

77. Forecasting electricity prices
Mauro Castelli, Aleš Groznik, Aleš Popovič, 2020, original scientific article

Keywords: energetics, price, informatics, energy sector, electricity prices, forecasting, machine learning, geometric semantic, based programming
Full text (file, 2,00 MB) This document has more files! More...

78. Superposition and compression of deep neutral networks
Marko Zeman, 2020, master's thesis

Keywords: Artificial Intelligence, Machine Learning, Deep Learning, Convolutional Neural Networks, Model Compression, Superposition of Models
Full text (file, 2,79 MB)

79. Assessing the Informativeness of Sensed Data for User Identification in IoT
Andraž Krašovec, 2020, master's thesis

Keywords: Internet of Things, Continuous Authentication, Machine learning
Full text (file, 34,26 MB)

80. Search for type-III seesaw heavy leptons with the ATLAS detector at the LHC
Tadej Novak, 2020, doctoral dissertation

Keywords: seesaw mechanism, type-III seesaw, fermion triplet, machine learning, boosted decision trees, neural networks, ATLAS, CERN, LHC Run 2, dilepton, two jets, missing transverse energy
Full text (file, 6,47 MB)
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