# Journal articlesshow all

A Framework for Evaluating Personalized Ranking Systems by Fusing Different Evaluation Measures,*BIG DATA RES*(2021)

The sensor hub for detecting the developmental characteristics in reading in children on a white vs. coloured background/coloured overlays,

*SENSORS*(2021)

Deep Statistical Comparison for Multi-objective Stochastic Optimization Algorithms,

*SWARM EVOL COMPUT*(2021)

Simulation of Variational Gaussian Process NARX models with GPGPU,

*ISA T*(2021)

Optimising an FFQ using a machine learning pipeline to learn an efficient nutrient intake predictive model,

*NUTRIENTS*(2020)

P-NUT: Predicting NUTrient content from short text descriptions,

*MATHEMATICS*(2020)

DietHub: Dietary Habits Analysis through Understanding the Content of Recipes,

*TRENDS FOOD SCI TECH*(2020)

MAKEDONKA: Applied Deep Learning Model for Text-to-Speech Synthesis in Macedonian Language,

*APPL SCI-BASEL*(2020)

COVID-19 pandemic changes the food consumption patterns,

*TRENDS FOOD SCI TECH*(2020)

Insights into Exploration and Exploitation Power of Optimization Algorithm Using DSCTool,

*MATHEMATICS*(2020)

Improving the Maintenance of Railway Switches Through Proactive Approach,

*ELECTRONICS*(2020)

Advanced sensor-based maintenance in real-world exemplary cases,

*TAUT*(2020)

Fatty Acid and Stable Carbon Isotope Composition of Slovenian Milk: Year, Season, and Regional Variability,

*MOLECULES*(2020)

Biomarkers of pre-existing risk of torsade de pointes under Sotalol treatment,

*J. ELECTROCARDIOL.*(2020)

Geographical verification of Slovenian milk using stable isotope ratio, multi-element and multivariate modelling approaches,

*FOOD CHEM*(2020)

Multi-objective optimization benchmarking using DSCTool,

*MATHEMATICS*(2020)

Evaluating Missing Value Imputation Methods for Food Composition Databases,

*FOOD CHEM TOXICOL*(2020)

Towards Managerial Support for Data Analytics Results,

*IND ENG MANAG*(2020)

A survey of named-entity recognition methods for food information extraction,

*IEEE ACCESS*(2020)

Dynamic features of cardiac vector as alternative markers of drug-induced spatial dispersion,

*J PHARMACOL TOX MET*(2020)

FoodEx2vec: New foods’ representation for advanced food data analysis,

*FOOD CHEM TOXICOL*(2020)

Understanding the problem space in single-objective numerical optimization using exploratory landscape analysis,

*APPL SOFT COMPUT*(2020)

Multi-level information fusion for learning a blood pressure predictive model using sensor data,

*INFORM FUSION*(2020)

DSCTool: a web services based framework for statistical comparison of stochastic optimization algorithms,

*APPL SOFT COMPUT*(2020)

Selected elements and fatty acid composition in human milk as indicators of seafood dietary habits,

*ENVIRON RES*(2020)

Data Transmission Efficiency in Bluetooth Low Energy Versions,

*SENSORS*(2019)

Identifying Practical Significance Through Statistical Comparison of Meta-heuristic Stochastic Optimization Algorithms,

*APPL SOFT COMPUT*(2019)

FoodBase corpus: a new resource of annotated food entities,

*DATABASE*(2019)

MIGHT: Statistical Methodology for Missing-Data Imputation in Food Composition Databases,

*APPL SCI-BASEL*(2019)

A multi-center survey on hospital malnutrition and cachexia in Slovenia,

*EUR J CLIN NUTR*(2019)

Graphs with a given diameter that maximise the Wiener index,

*AMC*(2019)

e-Learning Experiment: Web Conference Activities in Teaching at a Traditional University,

*InnovationLearning*(2019)

Evaluation of harmonized EuroFIR documentation for macronutrient values in 26 European food composition databases,

*JFCA*(2019)

Deep Learning-Based Channel Prediction in Realistic Vehicular Communications,

*IEEE ACCESS*(2019)

Thermal phenomena in LTCC sensor structures,

*SENSOR ACTUAT A-PHYS*(2019)

A Novel Statistical Approach for Comparing Meta-heuristic Stochastic Optimization Algorithms According to the Distribution of Solutions in the Search Space,

*INFORM SCIENCES*(2019)

A comparison of models for forecasting the residential natural gas demand of an urban area,

*EGY*(2019)

ISO-FOOD Ontology: A formal representation of the knowledge within the domain of Isotopes for Food Science,

*FOCH*(2019)