Maja Skrjanc

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This paper presents a two level lexical stress assignment model for out of vocabulary Slovenian words used in our text-to-speech system. First, each vowel (and consonant 'r') is determined, whether it is stressed or unstressed, and a type of lexical stress is assigned for every stressed vowel (and consonant 'r'). We applied a machine-learning technique(More)
Detection rules represent one of the components of the rule models in event processing systems. These rules can be discovered from data using data mining techniques or domain experts’ knowledge. We demonstrate a system that provides its users the means for creating and validating such rules. The system is applied on real-life environmental scenarios, where(More)
The following contribution offers technical solution for heterogeneous multivariate data streaming modelling built on top of open-source QMiner platform. The presented infrastructure is able to receive data from different sources (sensors, weather, weather and other forecast, static properties, ...) with many different properties (frequency, update(More)
The Environmental Services Infrastructure with Ontologies (ENVISION) project (2010-2013) provided an IT infrastructure for non ICT-skilled users for semantic discovery and adaptive chaining and composition of environmental services. This paper summarizes the core results of the project with a focus on individual components, relevant stakeholders, and(More)
This paper presents a methodology for data cleaning of sensor data using the Kalman filter. The Kalman filter is an on-line algorithm and as such is ideal for usage on the sensor data streams. The Kalman filter learns parameters of a user-specified underlying model which models the phenomena the sensor is measuring. Usage of the Kalman filter is proposed to(More)
Energy forecasting and modeling in rural areas is accomplished through NRG4CAST platform through which a set of real-time prediction and trend detection services are developed based on advanced machine learning, trend detection, prediction, optimisation and reasoning capabilities in order to provide to stakeholders unique service for energy consumption,(More)
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