Tome Eftimov

Journal articlesshow all

Fatty Acid and Stable Carbon Isotope Composition of Slovenian Milk: Year, Season, and Regional Variability, MOLECULES (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)
A survey of named-entity recognition methods for food information extraction, IEEE ACCESS (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)
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 Novel Statistical Approach for Comparing Meta-heuristic Stochastic Optimization Algorithms According to the Distribution of Solutions in the Search Space, INFORM SCIENCES (2019)
ISO-FOOD Ontology: A formal representation of the knowledge within the domain of Isotopes for Food Science, FOCH (2019)
Mixed Deep Learning and Natural Language Processing Method for Fake Food Image Recognition and Standardization to Help Automated Dietary Assessment, PUBLIC HEALTH NUTR (2018)
Identification of requirements for computer-supported matching of food consumption data with food composition data, Nutrients (2018)


Conference papersshow all

Using Exploratory Landscape Analysis to Visualize Single-objective Problems, GECCO 2020
FoodViz: Visualization of Food Entities Linked Across Different Standards, LOD 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
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
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 Poincaré Embeddings of a Clinical Knowledge Base for Healthcare Analytics, KDD 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
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
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 all

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)
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)


Other publicationsshow all

Importance of Complete Food Composition Databases and Computer Methods for dealing with Missing Food Composition Data (2019)
Quality Improvement of Food Composition Databases Using Methods from Natural Language Processing and Statistics (2019)
Statistical data analysis and natural language processing for nutrition science (2018)
How to Perform a Proper Statistical Study Analysis? Where we Started and Where are we Now in Statistical Performance Assessment Approaches for Stochastic Optimization Algorithms? (2018)
Computer-supported borrowing of missing nutrient values in food composition databases (2018)
Differentiation of slovenian milk based on the content and carbon isotope composition of fatty acids (2017)
Mixed deep learning and natural language processing approach for food image detection, recognition and analysis to estimate nutritional values (2017)
Matching foods from EuroFIR databases to FoodEx by using a semi-automatic system for classifying and describing foods (2017)