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1. Parkinson disease subtypes based on short time series and multi-view clustering
MELANIJA KRALJEVSKA, 2021, bachelor thesis/paper

Keywords: machine learning, data science, clustering, Parkinson's disease, multi-view learning, skip n-grams
Full text (file, 1,57 MB)

2. Learning basic object affordances in a robotic system
Barry Ridge, 2014, doctoral dissertation

Keywords: affordances, affordance learning, self-supervised learning, multi-view learning, cross-modal learning, multi-modal learning, feature relevance determination, online learning, cognitive robotics, developmental robotics, doctoral dissertations, theses
Full text (file, 17,34 MB)

3. Reinforcement-learning-based route generation for heavy-traffic autonomous mobile robot systems
Dominik Kozjek, Andreja Malus, Rok Vrabič, 2021, original scientific article

Keywords: intralogistics, autonomous mobile robots, multi-robot cooperation, reinforcement learning, route planning
Full text (file, 23,99 MB) This document has more files! More...

4. Change detection and adaptation in multi-target prediction on data streams
Bozhidar Stevanoski, 2021, master's thesis

Keywords: machine learning, data streams, change detection and adaptation, multi-target prediction, multi-target regression
Full text (file, 2,38 MB)

5. Iris Segmentation with Multi-task Learning
ADNAN KREHO, 2021, master's thesis/paper

Keywords: iris segmentation, image colorization, multi-task learning, UNet architecture
Full text (file, 9,59 MB)

6. Application of temporal convolutional neural network for the classification of crops on Sentinel-2 time series
Matej Račič, Krištof Oštir, Devis Peressutti, Anže Zupanc, Luka Čehovin Zajc, 2020, published scientific conference contribution

Keywords: deep learning, multi-temporal classification, sequence data, crop classification, Sentinel-2
Full text (outside link)

7. Learning and diffusion of knowledge in clean energy communities
Primož Medved, Urša Golob, Tanja Kamin, 2023, original scientific article

Keywords: clean energy community, learning settings, diffusion of knowledge, energy transition, transactional learning theory, multi-level perspective, niche innovation, renewable energy
Full text (file, 1,63 MB) This document has more files! More...

8. Multi-task learning in programmatic advertising
DOMEN 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)

9. CLUSPLUS
Matej Petković, Jurica Levatić, Dragi Kocev, Martin Breskvar, Sašo Džeroski, 2023, original scientific article

Keywords: machine learning, multi-target regression, multi-label classification, decision trees, feature importance, semi-supervised learning, random forests
Full text (file, 563,19 KB) This document has more files! More...

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