Journal articlesshow all

P-NUT: Predicting NUTrient content from short text descriptions, MATHEMATICS (2020)
Simulation of Variational Gaussian Process NARX models with GPGPU, ISA T (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)
Towards Approximate Mobile Computing, ACM GetMobile (2018)
Innovative pocket-size Bluetooth kitchen scale, Agro Food Ind Hi Tech (2018)
Mixed Deep Learning and Natural Language Processing Method for Fake Food Image Recognition and Standardization to Help Automated Dietary Assessment, PUBLIC HEALTH NUTR (2018)
Can telerehabilitation games lead to functional improvement of upper extremities in individuals with Parkinson, INT J REHABIL RES (2018)
Multi-hop communication in Bluetooth Low Energy ad-hoc wireless sensor network, Inform. MIDEM (2018)
A formal framework of human machine interaction in proactive maintenance ÔÇô MANTIS experience, TAUT (2018)
Identification of requirements for computer-supported matching of food consumption data with food composition data, Nutrients (2018)
Sensors in Proactive Maintenance - A case of LTCC pressure sensors, MAINT RELIAB (2018)
Modelling simultaneous broadcasting by level-disjoint partitions, AMC (2018)

Conference papers
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Finding Potential Inhibitors of COVID-19, BIOINFORMATICS 2021
On Statistical Analysis of MOEAs with Multiple Performance Indicators, EMO2021
Dynamic Parameter Changing During the Run to Speed Up Evolutionary Algorithms: PPSN 2020 tutorial, PPSN 2020
APRICOT: A humAn-comPuteR InteraCtion tool for linking foOd wasTe streams across different semantic resources, BFNDMA2020 at IEEE BigData 2020
Comparison of Feature Selection Algorithms for Minimization of Target Specific FFQs, BFNDMA2020 at IEEE BigData 2020
Toward Robust Food Ontology Mapping, BFNDMA2020 at IEEE BigData 2020
Exploring Knowledge Domain Bias on a Prediction Task for Food and Nutrition Data, BFNDMA2020 at IEEE BigData 2020
BuTTER: BidirecTional LSTM for FoodNamed-Entity Recognition, BFNDMA2020 at IEEE BigData 2020
On Formulating the Ground Scheduling Problem as a Multi-objective Bilevel Problem, BIOMA 2020
Refining the CC-RDG3 Algorithm with Increasing Population Scheme and Persistent Covariance Matrix, BIOMA 2020
Ontology alignment using Named-Entity Recognition methods in the domain of food, IS 2020
Dynamic Parameter Choices in Evolutionary Computation: WCCI 2020 tutorial, WCCI 2020
Dynamic control parameter choices in evolutionary computation: GECCO 2020 tutorial, GECCO 2020
Solving min-max optimisation problems by means of bilevel evolutionary algorithms: a preliminary study, GECCO 2020
Colors and colored overlays in dyslexia treatment, IPSSC 2020
An Insight into Food Semantics: Review, Analysis, and Lessons Learnt over Food-related Studies, ICBO 2020
Using Exploratory Landscape Analysis to Visualize Single-objective Problems, GECCO 2020
In-depth Insights into Swarm Intelligence Algorithms, MDIS 2020
FoodViz: Visualization of Food Entities Linked Across Different Standards, LOD 2020
Linear Matrix Factorization Embeddings for Single-objective Optimization Landscape Space, IEEE SSCI 2020
Deep Statistics: More Robust Performance Statistics for Single-objective Optimization Benchmarking, GECCO 2020
performViz: A Machine Learning Approach to Visualize and Understand the Performance of Single-objective Optimization Algorithms, GECCO 2020
Performance2vec: A step further in explainable stochastic optimization algorithms performance, GECCO 2020
Is the statistical significance between evolutionary algorithms performance also significant in practice?, GECCO 2020
Food Data Integration by Using Heuristics based on Lexical and Semantic Similarities, HEALTHINF 2020
A Novel Approach for Modelling the Relationship between Blood Pressure and ECG by Using Time-series Feature Extraction, BIOSIGNALS 2020
Optimisation platform for remote collaboration of different teams, OSE5
Experimental evaluation of deep-learning applied on pendulum balancing, ERK 2019
Exploring Dietary Intake Data collected by FPQ using Unsupervised Learning, BFNDMA 2019 at IEEE BigData 2019
Food Waste Ontology: A Formal Description of Knowledge from the Domain of Food Waste, BFNDMA 2019 at IEEE BigData 2019
Comparing Semantic and Nutrient Value Similarities of Recipes, BFNDMA 2019 at IEEE BigData 2019
Extracting patient-reported functional status and disease activity information from electronic health records, TextXD 2019
A pilot method linking greenhouse gas emission databases to the FoodEx2 classification, LEAP 2019
An adaptive evolutionary surrogate-based approach for single-objective bilevel optimisation, UQOP 2019
Exploring a standardized language for describing foods using embedding techniques, BFNDMA 2019 at IEEE BigData 2019
Mix and Rank: A Framework for Benchmarking Recommender Systems, BPOD 2019 at IEEE BigData 2019
LOCALE: A rule-based location named-entity recognition method for Latin text, HistoInformatics 2019
Snomed2Vec: Random Walk and Poincar├ę Embeddings of a Clinical Knowledge Base for Healthcare Analytics, KDD 2019
Parameter Control in Evolutionary Bilevel Optimisation, IPSSC 2019
The sensor hub for detecting the influence of colors on reading in children with dyslexia, IPSSC 2019
A Knowledge Graph-based Approach for Exploring the U.S. Opioid Epidemic, ICLR 2019
Understanding Exploration and Exploitation Powers of Meta-heuristic Stochastic Optimization Algorithms through Statistical Analysis, GECCO 2019
FoodOntoMap: Linking Food Concepts across different Food Ontologies, KEOD 2019
GECCO Black-Box Optimization Competitions: Progress from 2009 to 2018, GECCO 2019
CEC Real-Parameter Optimization Competitions: Progress from 2013 to 2018, CEC 2019
UsabEU: online platform for translation, validation and native use of usability questionnaires with multilingual user groups, HCII 2019
FoodIE: a rule-based named-entity recognition for food information extraction, ICPRAM 2019
Data-driven Autism Biomarkers Selection by using Signal Processing and Machine Learning Techniques, BIOINFORMATICS 2019
Comparing different settings of parameters needed for pre-processing of ECG signals used for blood pressure classification, BIOSIGNALS 2019
Performance measures fusion for experimental comparison of methods for multi-label classificaiton, AAAI-MAKE 2019
The role of colour sensing and digitalization on the life quality and health tourism, QLife 2018
Evolutionary operators in memetic algorithm for matrix tri-factorization problem, META 2018
From a Production Scheduling Simulation to a Digital Twin, HPOI 2018
Evolution of Electric Motor Design Approaches: The Domel Case, HPOI 2018
Bluetooth based sensor networks for wireless EEG monitoring, ERK 2018
A semi - automatic approach for borrowing missing nutrient values in food composition databases, IPSSC 2018
The RICHFIELDS Framework for Semantic Interoperability of Food Information across Heterogeneous Information Systems, KDIR 2018
Quisper Ontology Learning from Personalized Dietary Web Services, KEOD 2018
Construction of Heuristic for Protein Structure Optimization Using Deep Reinforcement Learning, BIOMA 2018
Proactive Maintenance of Railway Switches, CoDIT 2018
Sensors: The Enablers for Proactive Maintenance in the Real World, CoDIT 2018
Deep Statistical Comparison of Meta-heuristic Stochastic Optimization Algorithms, GECCO 2018
The Impact of Statistics for Benchmarking in Evolutionary Computation Research, GECCO 2018
Analysis of Medical and Health-Related Data about Adult Obesity using Supervised and Unsupervised Learning, CIIT 2018
Overview of Creativity Assessment Framework for a Computer Program, CIIT 2018

Books & Chaptersshow recent

ECGpp: A Framework for Selecting the Pre-processing Parameters of ECG Signals Used for Blood Pressure Classification, Biomedical Engineering Systems and Technologies Part of the Communications in Computer and Information Science book series (CCIS, volume 1211), Springer (2020)
Success Stories on Real Pilots, The MANTIS Book - Cyber Physical System Based Proactive Collaborative Maintenance, River Publishers (2019)
From KPI Dashboards to Advanced Visualization, The MANTIS Book - Cyber Physical System Based Proactive Collaborative Maintenance, River Publishers (2019)
The MANTIS Book - Cyber Physical System Based Proactive Collaborative Maintenance, The MANTIS Book - Cyber Physical System Based Proactive Collaborative Maintenance, River Publishers (2019)
Comparison of multi-objective approaches to the real-world production scheduling, Advances in evolutionary and deterministic methods for design, optimization and control in engineering and sciences, Springer (2019)
Statistical data analysis and natural language processing for nutrition science, Doctoral Dissertation, Jo┼żef Stefan International Postgraduate School (2018)
Data-driven Preference-based Deep Statistical Ranking for Comparing Multi-Objective Optimization Algorithms, Bioinspired Optimization Methods and Their Applications. BIOMA 2018. Lecture Notes in Computer Science, Springer LNCS 10835 (2018)
How to perform properly statistical analysis on food data? An e-learning tool: Advanced Statistics in Natural Sciences and Technologies , Science within Food: Up-to-date Advances on Research and Educational Ideas, (2017)
Deep Statistical Comparison Applied on Quality Indicators to Compare Multi-objective Stochastic Optimization Algorithms, International Workshop on Machine Learning, Optimization, and Big Data, Springer LNCS 10710 (2017)
Optimal lead selection for evaluation ventricular premature beats using machine learning approach, Communications in Computer and Information Science, (2017)
Advances in Evolutionary Algorithms Research, Nova Science Publishers (2015)
A methodological framework for integration of data mining in organizations, Doctoral Dissertation, Jo┼żef Stefan International Postgraduate School (2013)
Large Graphs in Advanced Applications, Doctoral Dissertation, Jo┼żef Stefan International Postgraduate School (2013)
On-line testing and recovery of FPGA-based systems, Doctoral Dissertation, Jo┼żef Stefan International Postgraduate School (2012)
Radon as Earthquake Precursor - Methods for Detecting Anomalies, Earthquake Research and Analysis , InTech - Open Access Publisher (2011)
Stochastic Approach to Test Pattern Generator Design, Stochastic Optimization - Seeing the Optimal for the Uncertain, InTech (2011)
Applications of the Differential Ant-Stigmergy Algorithm on Real-World Continuous Optimization Problems, Evolutionary Computation, InTech (2009)
Evolutionary-Based Design of Deterministic Test Pattern, Artificial Intelligence: New Research, Nova Science Publishers (2009)
Praktikum jedilnikov zdravega prehranjevanja delavcev v delovnih organizacijah, 1. izdaja, Ministrstvo za zdravje RS (2008)
Praktikum jedilnikov zdravega prehranjevanja bolnikov v bolni┼ínicah in starostnikov v domovih za starej┼íe ob─Źane, 1. izdaja, Ministrstvo za zdravje RS (2008)
Praktikum jedilnikov zdravega prehranjevanja v vzgojno-izobra┼żevalnih ustanovah : (od prvega leta starosti naprej), 1. izdaja, Ministrstvo za zdravje RS, Zavod Republike Slovenije za ┼íolstvo (2008)
Bioinspired Optimization Methods and their Applications, Proceedings of the 2nd International Conference on Bioinspired Optimization Methosd and their Applications, Jo┼żef Stefan Institute (2006)
Stigmergy as an approach to metaheuristic optimization, Doctoral Dissertation, Jo┼żef Stefan International Postgraduate School (2006)
An evolutionary approach to problems in electrical engineering design, Handbook of Bioinspired Algorithms and Applications, Chapman & Hall/CRC (2006)
Ant colonies and the mesh-partitioning problem, Handbook of Bioinspired Algorithms and Applications, Chapman & Hall/CRC (2006)
Bioinspired Optimization Methods and their Applications, Proceedings of the International Conference on Bioinspired Optimization Methods and their Applications, Jo┼żef Stefan Institute (2004)
Concurrent operation scheduling and unit allocation with an evolutionary technique in the process of integrated-circuit design, Doctoral Dissertation, University of Ljubljana (2002)
Evolutionary synthesis algorithm - genetic operators tuning, Advances in intelligent systems, fuzzy systems, evolutionary computation, (Artificial intelligence series), WSEAS Press (2002)
An evolutionary approach to the school timetabling problem, Advances in intelligent systems, fuzzy systems, evolutionary computation, (Artificial intelligence series), WSEAS Press (2002)
Izpopolnjeno evolucijsko na─Źrtovanje integriranih vezij, Raziskovalno delo podiplomskih ┼ítudentov v Sloveniji - novo tiso─Źletje, Naravoslovje in tehnika, Dru┼ítvo mladih raziskovalcev Slovenije (2001)
Simultaneous multithreading - blending thread-level and instruction-level parallelism in advanced microprocessors, Advances in signal processing and computer technologies, (Electrical and computer engineering series), WSES Press (2001)
Asynchrony in parallel computing : from dataflow to multithreading, Progress in computer research: volume 1, Huntington, Nova Science (2001)
Chip multiprocessors - a cost-effective alternative to simultaneous multithreading, Advances in signal processing and computer technologies, (Electrical and computer engineering series), WSES Press (2001)
Processor Architecture - From Dataflow to Superscalar and Beyond, Springer-Verlag (1999)
Optimization of the Parallel Matrix Multiplication, Recent advances in Signal Processing and Communications, World Scientific and Engineering Society Press (1999)
Hardware/Software Co-Design for a Partitioning and Scheduling Co-Processor, Business and Work in the Information Society: New Technologies and Applications, IOS Press (1999)
Using Simulated Annealing and Genetic Algorithm in the Automated Synthesis of Digital Systems, Recent Advances in Circuits and Systems, World Scientific (1998)
Reliability and throughput improvements in massively parallel systems, Parallel Computing: Fundamentals, Applications and New Directions, Elsevier Science (1998)
Enhanced sequential diagnosis, Research Perspectives and Case Studies in System Test and Diagnosis, Kluwer Academic Publishers (1998)
Parallel Numerics '96, Proceeding of the International Workshop, Jo┼żef Stefan Institute (1996)
Dynamic program allocation on the mesh-connected parallel architecture, Parallel Computing: State-of-the-Art and Perspectives, Elsevier Science (1996)