Odkrivanje podskupin z uporabo algoritmov za učenje pravil
Razvoj sistema za nadzorovanje sprememb pri hoji človeka
From data to decision
Purpose – The Internet has changed consumer decision-making and influenced business behaviour. User-generated product information is abundant and readily available. This paper argues that user-generated content can be efficiently utilised for business intelligence using data science and develops an approach to demonstrate the methods and benefits o...
Deep learning for compressive sensing
Compressive sensing (CS) is a mathematically elegant tool for reducing the sensor sampling rate, potentially bringing context-awareness to a wider range of devices. Nevertheless, practical issues with the sampling and reconstruction algorithms prevent further proliferation of CS in real world domains, especially among heterogeneous ubiquitous devic...
Vpliv četrte industrijske revolucije in umetne inteligence na gospodarstvo
New EU regulation of autonomous artificial intelligence
Quantifying the impact of context on the quality of manual hate speech annotation
The quality of annotations in manually annotated hate speech datasets is crucial for automatic hate speech detection. This contribution focuses on the positive effects of manually annotating online comments for hate speech within the context in which the comments occur. We quantify the impact of context availability by meticulously designing an exp...
Vpliv umetne inteligence na delovna mesta in digitalne spretnosti zaposlenih na področju poslovne informatike
Napovedovanje gibanja cen električne energije v Sloveniji s pomočjo strojnega učenja
A conceptual strategic framework for implementing machine learning in small and medium-sized enterprises
