Tome Eftimov

According to our database, Tome Eftimov authored at least 128 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

MsGEN: Measuring generalization of nutrient value prediction across different recipe datasets.

Gordana Ispirova, Tome Eftimov, Saso Dzeroski, Barbara Korousic-Seljak

Expert Syst. Appl., March, 2024

TinyTLA: Topological landscape analysis for optimization problem classification in a limited sample setting.

Gasper Petelin, Gjorgjina Cenikj, Tome Eftimov

Swarm Evol. Comput., February, 2024

A cross-benchmark examination of feature-based algorithm selector generalization in single-objective numerical optimization.

Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov

Swarm Evol. Comput., 2024

Opt2Vec - a continuous optimization problem representation based on the algorithm's behavior: A case study on problem classification.

Peter Korosec, Tome Eftimov

Inf. Sci., 2024

A Learning Search Algorithm for the Restricted Longest Common Subsequence Problem.

Marko Djukanovic, Jaume Reixach, Ana Nikolikj, Tome Eftimov, Aleksandar Kartelj, Christian Blum

CoRR, 2024

A Survey of Meta-features Used for Automated Selection of Algorithms for Black-box Single-objective Continuous Optimization.

Gjorgjina Cenikj, Ana Nikolikj, Gasper Petelin, Niki van Stein, Carola Doerr, Tome Eftimov

CoRR, 2024

Efficient Search Algorithms for the Restricted Longest Common Subsequence Problem.

Marko Djukanovic, Aleksandar Kartelj, Tome Eftimov, Jaume Reixach, Christian Blum

Proceedings of the Computational Science - ICCS 2024, 2024

Comparing Solvability Patterns of Algorithms across Diverse Problem Landscapes.

Ana Nikolikj, Tome Eftimov

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Per-Run Algorithm Performance Improvement Forecasting Using Exploratory Landscape Analysis Features: A Case Study in Single-Objective Black-Box Optimization.

Peter Korosec, Tome Eftimov

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Statistical Analyses for Single-objective Stochastic Optimization Algorithms.

Tome Eftimov, Peter Korosec

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

TransOptAS: Transformer-Based Algorithm Selection for Single-Objective Optimization.

Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization.

Carolin Benjamins, Gjorgjina Cenikj, Ana Nikolikj, Aditya Mohan, Tome Eftimov, Marius Lindauer

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Trustworthy Benchmarking for Black-Box Single-Objective Optimization.

Tome Eftimov

Proceedings of the 1st International Conference on Explainable AI for Neural and Symbolic Methods, 2024

Quantifying Individual and Joint Module Impact in Modular Optimization Frameworks.

Ana Nikolikj, Ana Kostovska, Diederick Vermetten, Carola Doerr, Tome Eftimov

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Generalization Ability of Feature-Based Performance Prediction Models: A Statistical Analysis Across Benchmarks.

Ana Nikolikj, Ana Kostovska, Gjorgjina Cenikj, Carola Doerr, Tome Eftimov

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Impact of Scaling in ELA Feature Calculation on Algorithm Selection Cross-Benchmark Transferability.

Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023

OPTION: OPTImization Algorithm Benchmarking ONtology.

Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov

IEEE Trans. Evol. Comput., December, 2023

FooDis: A food-disease relation mining pipeline.

Gjorgjina Cenikj, Tome Eftimov, Barbara Korousic-Seljak

Artif. Intell. Medicine, August, 2023

Towards understanding the importance of time-series features in automated algorithm performance prediction.

Gasper Petelin, Gjorgjina Cenikj, Tome Eftimov

Expert Syst. Appl., 2023

TransOpt: Transformer-based Representation Learning for Optimization Problem Classification.

Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov

CoRR, 2023

Analyzing the Generalizability of Automated Algorithm Selection: A Case Study for Numerical Optimization.

Urban Skvorc, Tome Eftimov, Peter Korosec

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances.

Ana Nikolikj, Saso Dzeroski, Mario Andrés Muñoz, Carola Doerr, Peter Korosec, Tome Eftimov

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Assessing the Generalizability of a Performance Predictive Model.

Ana Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Comparing Algorithm Selection Approaches on Black-Box Optimization Problems.

Ana Kostovska, Anja Jankovic, Diederick Vermetten, Saso Dzeroski, Tome Eftimov, Carola Doerr

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems.

Gjorgjina Cenikj, Gasper Petelin, Carola Doerr, Peter Korosec, Tome Eftimov

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

RF+clust for Leave-One-Problem-Out Performance Prediction.

Ana Nikolikj, Carola Doerr, Tome Eftimov

Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms.

Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Pance Panov, Tome Eftimov, Carola Doerr

Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

Sensitivity Analysis of RF+clust for Leave-One-Problem-Out Performance Prediction.

Ana Nikolikj, Michal Pluhacek, Carola Doerr, Peter Korosec, Tome Eftimov

Proceedings of the IEEE Congress on Evolutionary Computation, 2023

PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization.

Ana Kostovska, Gjorgjina Cenikj, Diederick Vermetten, Anja Jankovic, Ana Nikolikj, Urban Skvorc, Peter Korosec, Carola Doerr, Tome Eftimov

Proceedings of the International Conference on Automated Machine Learning, 2023

2022

Per-Run Algorithm Selection with Warm-starting using Trajectory-based Features - Data.

Anja Jankovic, Ana Kostovska, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, Carola Doerr

Dataset, April, 2022

Linking Problem Landscape Features with the Performance of Individual CMA-ES Modules - Data.

Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Carola Doerr, Peter Korosec, Tome Eftimov

Dataset, February, 2022

Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms

Tome Eftimov, Peter Korosec

Natural Computing Series, Springer, ISBN: 978-3-030-96916-5, 2022

Dietary, comorbidity, and geo-economic data fusion for explainable COVID-19 mortality prediction.

Milena Trajanoska, Risto Trajanov, Tome Eftimov

Expert Syst. Appl., 2022

Less is more: Selecting the right benchmarking set of data for time series classification.

Tome Eftimov, Gasper Petelin, Gjorgjina Cenikj, Ana Kostovska, Gordana Ispirova, Peter Korosec, Jasmin Bogatinovski

Expert Syst. Appl., 2022

CafeteriaSA corpus: scientific abstracts annotated across different food semantic resources.

Gjorgjina Cenikj, Eva Valencic, Gordana Ispirova, Matevz Ogrinc, Riste Stojanov, Peter Korosec, Ermanno Cavalli, Barbara Korousic-Seljak, Tome Eftimov

Database J. Biol. Databases Curation, 2022

TLA: Topological Landscape Analysis for Single-Objective Continuous Optimization Problem Instances.

Gasper Petelin, Gjorgjina Cenikj, Tome Eftimov

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Explainable Model-specific Algorithm Selection for Multi-Label Classification.

Ana Kostovska, Carola Doerr, Saso Dzeroski, Dragi Kocev, Pance Panov, Tome Eftimov

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Improving Nevergrad's Algorithm Selection Wizard NGOpt Through Automated Algorithm Configuration.

Risto Trajanov, Ana Nikolikj, Gjorgjina Cenikj, Fabien Teytaud, Mathurin Videau, Olivier Teytaud, Tome Eftimov, Manuel López-Ibáñez, Carola Doerr

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Per-run Algorithm Selection with Warm-Starting Using Trajectory-Based Features.

Ana Kostovska, Anja Jankovic, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, Carola Doerr

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

The importance of landscape features for performance prediction of modular CMA-ES variants.

Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Carola Doerr, Peter Korosec, Tome Eftimov

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Statistical analyses for multi-objective stochastic optimization algorithms: GECCO 2022 tutorial.

Tome Eftimov, Peter Korosec

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

SELECTOR: selecting a representative benchmark suite for reproducible statistical comparison.

Gjorgjina Cenikj, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Explainable Landscape Analysis in Automated Algorithm Performance Prediction.

Risto Trajanov, Stefan Dimeski, Martin Popovski, Peter Korosec, Tome Eftimov

Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 2022

A Comprehensive Analysis of the Invariance of Exploratory Landscape Analysis Features to Function Transformations.

Urban Skvorc, Tome Eftimov, Peter Korosec

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Identifying minimal set of Exploratory Landscape Analysis features for reliable algorithm performance prediction.

Ana Nikolikj, Risto Trajanov, Gjorgjina Cenikj, Peter Korosec, Tome Eftimov

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Trajectory-based Algorithm Selection with Warm-starting.

Anja Jankovic, Diederick Vermetten, Ana Kostovska, Jacob de Nobel, Tome Eftimov, Carola Doerr

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Multimodal Analysis of User-recipes Interactions.

Emilija Georgievska, Martina Stojanoska, Sanja Mishovska, Tome Eftimov, Dimitar Trajanov

Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

Explaining Differential Evolution Performance Through Problem Landscape Characteristics.

Ana Nikolikj, Ryan Dieter Lang, Peter Korosec, Tome Eftimov

Proceedings of the Bioinspired Optimization Methods and Their Applications, 2022

Predefined domain specific embeddings of food concepts and recipes: A case study on heterogeneous recipe datasets.

Gordana Ispirova, Tome Eftimov, Barbara Korousic-Seljak

Proceedings of the IEEE International Conference on Big Data, 2022

SciFoodNER: Food Named Entity Recognition for Scientific Text.

Gjorgjina Cenikj, Gasper Petelin, Barbara Korousic-Seljak, Tome Eftimov

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Deep Statistical Comparison for Multi-Objective Stochastic Optimization Algorithms.

Tome Eftimov, Peter Korosec

Swarm Evol. Comput., 2021

Preface.

Christian Blum, Tome Eftimov, Peter Korosec

Nat. Comput., 2021

A Framework for Evaluating Personalized Ranking Systems by Fusing Different Evaluation Measures.

Tome Eftimov, Bibek Paudel, Gorjan Popovski, Dragi Kocev

Big Data Res., 2021

Data-Driven Intelligence System for General Recommendations of Deep Learning Architectures.

Gjorgji Noveski, Tome Eftimov, Kostadin Mishev, Monika Simjanoska

IEEE Access, 2021

Explainable Landscape-Aware Optimization Performance Prediction.

Risto Trajanov, Stefan Dimeski, Martin Popovski, Peter Korosec, Tome Eftimov

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

FoodChem: A food-chemical relation extraction model.

Gjorgjina Cenikj, Barbara Korousic-Seljak, Tome Eftimov

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

A complementarity analysis of the COCO benchmark problems and artificially generated problems.

Urban Skvorc, Tome Eftimov, Peter Korosec

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

The impact of hyper-parameter tuning for landscape-aware performance regression and algorithm selection.

Anja Jankovic, Gorjan Popovski, Tome Eftimov, Carola Doerr

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Statistical analyses for meta-heuristic stochastic optimization algorithms.

Tome Eftimov, Peter Korosec

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Reducing bias in multi-objective optimization benchmarking.

Tome Eftimov, Peter Korosec

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Robust benchmarking for multi-objective optimization.

Tome Eftimov, Peter Korosec

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Personalizing performance regression models to black-box optimization problems.

Tome Eftimov, Anja Jankovic, Gorjan Popovski, Carola Doerr, Peter Korosec

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Towards Feature-Based Performance Regression Using Trajectory Data.

Anja Jankovic, Tome Eftimov, Carola Doerr

Proceedings of the Applications of Evolutionary Computation, 2021

On Statistical Analysis of MOEAs with Multiple Performance Indicators.

Hao Wang, Carlos Ignacio Hernández Castellanos, Tome Eftimov

Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

The Effect of Sampling Methods on the Invariance to Function Transformations When Using Exploratory Landscape Analysis.

Urban Skvorc, Tome Eftimov, Peter Korosec

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Finding Potential Inhibitors of COVID-19.

Angela Kralevska, Marija Velichkovska, Viktor Cicimov, Tome Eftimov, Monika Simjanoska

Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

SAFFRON: tranSfer leArning For Food-disease RelatiOn extractioN.

Gjorgjina Cenikj, Tome Eftimov, Barbara Korousic-Seljak

Proceedings of the 20th Workshop on Biomedical Language Processing, 2021

Skills Named-Entity Recognition for Creating a Skill Inventory of Today's Workplace.

Gjorgjina Cenikj, Bozhanka Vitanova, Tome Eftimov

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

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

Monika Simjanoska, Stefan Kochev, Jovan Tanevski, Ana Madevska Bogdanova, Gregor Papa, Tome Eftimov

Inf. Fusion, 2020

Benchmarking in Optimization: Best Practice and Open Issues.

Thomas Bartz-Beielstein, Carola Doerr, Jakob Bossek, Sowmya Chandrasekaran, Tome Eftimov, Andreas Fischbach, Pascal Kerschke, Manuel López-Ibáñez, Katherine M. Malan, Jason H. Moore, Boris Naujoks, Patryk Orzechowski, Vanessa Volz, Markus Wagner, Thomas Weise

CoRR, 2020

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

Urban Skvorc, Tome Eftimov, Peter Korosec

Appl. Soft Comput., 2020

DSCTool: A web-service-based framework for statistical comparison of stochastic optimization algorithms.

Tome Eftimov, Gasper Petelin, Peter Korosec

Appl. Soft Comput., 2020

A Survey of Named-Entity Recognition Methods for Food Information Extraction.

Gorjan Popovski, Barbara Korousic-Seljak, Tome Eftimov

IEEE Access, 2020

Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes.

Tome Eftimov, Gorjan Popovski, Quentin Renau, Peter Korosec, Carola Doerr

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

FoodViz: Visualization of Food Entities Linked Across Different Standards.

Riste Stojanov, Gorjan Popovski, Nasi Jofce, Dimitar Trajanov, Barbara Korousic-Seljak, Tome Eftimov

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

In-Depth Insights into Swarm Intelligence Algorithms Performance.

Eva Tuba, Peter Korosec, Tome Eftimov

Proceedings of the Modelling and Development of Intelligent Systems, 2020

An Insight into Food Semantics: Review, Analysis, and Lessons Learnt over Food-Related Studies (short paper).

Gorjan Popovski, Gordana Ispirova, Eva Valencic, Riste Stojanov, Tome Eftimov, Barbara Korousic-Seljak

Proceedings of the 11th International Conference on Biomedical Ontologies (ICBO) joint with the 10th Workshop on Ontologies and Data in Life Sciences (ODLS) and part of the Bolzano Summer of Knowledge (BoSK 2020), 2020

Using exploratory landscape analysis to visualize single-objective problems.

Urban Skvorc, Tome Eftimov, Peter Korosec

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Performance2vec: a step further in explainable stochastic optimization algorithm performance.

Tome Eftimov, Gorjan Popovski, Dragi Kocev, Peter Korosec

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Deep statistics: more robust performance statistics for single-objective optimization benchmarking.

Tome Eftimov, Gasper Petelin, Rok Hribar, Gorjan Popovski, Urban Skvorc, Peter Korosec

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Statistical analyses for meta-heuristic stochastic optimization algorithms: GECCO 2020 tutorial.

Tome Eftimov, Peter Korosec

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Is the statistical significance between stochastic optimization algorithms' performances also significant in practice?

Tome Eftimov, Peter Korosec

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

PerformViz: a machine learning approach to visualize and understand the performance of single-objective optimization algorithms.

Tome Eftimov, Rok Hribar, Urban Skvorc, Gorjan Popovski, Gasper Petelin, Peter Korosec

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Food Data Integration by using Heuristics based on Lexical and Semantic Similarities.

Gorjan Popovski, Gordana Ispirova, Nina Hadzi-Kotarova, Eva Valencic, Tome Eftimov, Barbara Korousic-Seljak

Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

A Novel Approach for Modelling the Relationship between Blood Pressure and ECG by using Time-series Feature Extraction.

Stefan Kochev, Neven Stevchev, Svetlana Kocheva, Tome Eftimov, Monika Simjanoska

Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

Food Data Normalization Using Lexical and Semantic Similarities Heuristics.

Gordana Ispirova, Gorjan Popovski, Eva Valencic, Nina Hadzi-Kotarova, Tome Eftimov, Barbara Korousic-Seljak

Proceedings of the Biomedical Engineering Systems and Technologies, 2020

Toward Robust Food Ontology Mapping.

Riste Stojanov, Ilija Kocev, Sasho Gramatikov, Gorjan Popovski, Barbara Korousic-Seljak, Tome Eftimov

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Comparison of Feature Selection Algorithms for Minimization of Target Specific FFQs.

Nina Resçiç, Tome Eftimov, Barbara Korousic-Seljak

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Exploring Knowledge Domain Bias on a Prediction Task for Food and Nutrition Data.

Gordana Ispirova, Tome Eftimov, Barbara Korousic-Seljak

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

APRICOT: A humAn-comPuteR InteraCtion tool for linking foOd wasTe streams across different semantic resources.

Bojan Dimoski, Riste Stojanov, Tome Eftimov, Hannah Pinchen, Maria Traka, Paul Finglas, Barbara Korousic-Seljak

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

BuTTER: BidirecTional LSTM for Food Named-Entity Recognition.

Gjorgjina Cenikj, Gorjan Popovski, Riste Stojanov, Barbara Korousic-Seljak, Tome Eftimov

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

A novel statistical approach for comparing meta-heuristic stochastic optimization algorithms according to the distribution of solutions in the search space.

Tome Eftimov, Peter Korosec

Inf. Sci., 2019

Snomed2Vec: Random Walk and Poincaré Embeddings of a Clinical Knowledge Base for Healthcare Analytics.

Khushbu Agarwal, Tome Eftimov, Raghavendra Addanki, Sutanay Choudhury, Suzanne Tamang, Robert Rallo

CoRR, 2019

A Knowledge Graph-based Approach for Exploring the U.S. Opioid Epidemic.

Maulik R. Kamdar, Tymor Hamamsy, Shea Shelton, Ayin Vala, Tome Eftimov, James Zou, Suzanne Tamang

CoRR, 2019

FoodBase corpus: a new resource of annotated food entities.

Gorjan Popovski, Barbara Korousic-Seljak, Tome Eftimov

Database J. Biol. Databases Curation, 2019

Identifying practical significance through statistical comparison of meta-heuristic stochastic optimization algorithms.

Tome Eftimov, Peter Korosec

Appl. Soft Comput., 2019

FoodIE: A Rule-based Named-entity Recognition Method for Food Information Extraction.

Gorjan Popovski, Stefan Kochev, Barbara Korousic-Seljak, Tome Eftimov

Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

FoodOntoMapV2: Food Concepts Normalization Across Food Ontologies.

Gorjan Popovski, Barbara Korousic-Seljak, Tome Eftimov

Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2019

FoodOntoMap: Linking Food Concepts across Different Food Ontologies.

Gorjan Popovski, Barbara Korousic-Seljak, Tome Eftimov

Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019

LOCALE: A Rule-based Location Named-entity Recognition Method for Latin Text.

Ivona Milanova, Jurij Silc, Miha Serucnik, Tome Eftimov, Hristijan Gjoreski

Proceedings of the 5th International Workshop on Computational History, 2019

UsabEU: Online Platform for Translation, Validation and Native Use of Usability Questionnaires with Multilingual User Groups.

Bojan Blazica, Tome Eftimov

Proceedings of the Cross-Cultural Design. Methods, Tools and User Experience, 2019

GECCO black-box optimization competitions: progress from 2009 to 2018.

Urban Skvorc, Tome Eftimov, Peter Korosec

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Understanding exploration and exploitation powers of meta-heuristic stochastic optimization algorithms through statistical analysis.

Tome Eftimov, Peter Korosec

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

CEC Real-Parameter Optimization Competitions: Progress from 2013 to 2018.

Urban Skvorc, Tome Eftimov, Peter Korosec

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

ECGpp: A Framework for Selecting the Pre-processing Parameters of ECG Signals Used for Blood Pressure Classification.

Monika Simjanoska, Gregor Papa, Barbara Korousic-Seljak, Tome Eftimov

Proceedings of the Biomedical Engineering Systems and Technologies, 2019

Comparing Different Settings of Parameters Needed for Pre-processing of ECG Signals used for Blood Pressure Classification.

Monika Simjanoska, Gregor Papa, Barbara Korousic-Seljak, Tome Eftimov

Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019), 2019

Data-driven Autism Biomarkers Selection by using Signal Processing and Machine Learning Techniques.

Antonio Antovski, Stefani Kostadinovska, Monika Simjanoska, Tome Eftimov, Nevena Ackovska, Ana Madevska Bogdanova

Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019), 2019

Food Waste Ontology: A Formal Description of Knowledge from the Domain of Food Waste.

Riste Stojanov, Tome Eftimov, Hannah Pinchen, Maria Traka, Paul Finglas, Drago Torkar, Barbara Korousic-Seljak

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Exploring a standardized language for describing foods using embedding techniques.

Gorjan Popovski, Bibek Paudel, Tome Eftimov, Barbara Korousic-Seljak

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Mix and Rank: A Framework for Benchmarking Recommender Systems.

Bibek Paudel, Dragi Kocev, Tome Eftimov

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Comparing Semantic and Nutrient Value Similarities of Recipes.

Gordana Ispirova, Tome Eftimov, Barbara Korousic-Seljak

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Exploring Dietary Intake Data collected by FPQ using Unsupervised Learning.

Martin Gjoreski, Stefan Kochev, Nina Resçiç, Matej Gregoric, Tome Eftimov, Barbara Korousic-Seljak

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Performance Measures Fusion for Experimental Comparison of Methods for Multi-label Classification.

Tome Eftimov, Dragi Kocev

Proceedings of the AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering (AAAI-MAKE 2019) Stanford University, 2019

2018

The RICHFIELDS Framework for Semantic Interoperability of Food Information Across Heterogenous Information Systems.

Tome Eftimov, Gordana Ispirova, Peter Korosec, Barbara Korousic-Seljak

Proceedings of the 10th International Joint Conference on Knowledge Discovery, 2018

Quisper Ontology Learning from Personalized Dietary Web Services.

Tome Eftimov, Gordana Ispirova, Paul Finglas, Peter Korosec, Barbara Korousic-Seljak

Proceedings of the 10th International Joint Conference on Knowledge Discovery, 2018

Deep statistical comparison of meta-heuristic stochastic optimization algorithms.

Tome Eftimov, Peter Korosec, Barbara Korousic-Seljak

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

The impact of statistics for benchmarking in evolutionary computation research.

Tome Eftimov, Peter Korosec

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Data-Driven Preference-Based Deep Statistical Ranking for Comparing Multi-objective Optimization Algorithms.

Tome Eftimov, Peter Korosec, Barbara Korousic-Seljak

Proceedings of the Bioinspired Optimization Methods and Their Applications, 2018

2017

A Novel Approach to statistical comparison of meta-heuristic stochastic optimization algorithms using deep statistics.

Tome Eftimov, Peter Korosec, Barbara Korousic-Seljak

Inf. Sci., 2017

Comparing multi-objective optimization algorithms using an ensemble of quality indicators with deep statistical comparison approach.

Tome Eftimov, Peter Korosec, Barbara Korousic-Seljak

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Deep Statistical Comparison Applied on Quality Indicators to Compare Multi-objective Stochastic Optimization Algorithms.

Tome Eftimov, Peter Korosec, Barbara Korousic-Seljak

Proceedings of the Machine Learning, Optimization, and Big Data, 2017

The Behavior of Deep Statistical Comparison Approach for Different Criteria of Comparing Distributions.

Tome Eftimov, Peter Korosec, Barbara Korousic-Seljak

Proceedings of the 9th International Joint Conference on Computational Intelligence, 2017

Mapping Food Composition Data from Various Data Sources to a Domain-Specific Ontology.

Gordana Ispirova, Tome Eftimov, Barbara Korousic-Seljak, Peter Korosec

Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017

2016

Grammar and Dictionary based Named-entity Linking for Knowledge Extraction of Evidence-based Dietary Recommendations.

Tome Eftimov, Barbara Korousic-Seljak, Peter Korosec

Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - Volume 1: KDIR, Porto - Portugal, November 9, 2016

2015

Random Access Protocols With Collision Resolution in a Noncoherent Setting.

Zoran Utkovski, Tome Eftimov, Petar Popovski

IEEE Wirel. Commun. Lett., 2015

Finite-SNR Bounds on the Sum-Rate Capacity of Rayleigh Block-Fading Multiple-Access Channels With No A Priori CSI.

Rahul Devassy, Giuseppe Durisi, Johan Östman, Wei Yang, Tome Eftimov, Zoran Utkovski

IEEE Trans. Commun., 2015

POS Tagging-probability Weighted Method for Matching the Internet Recipe Ingredients with Food Composition Data.

Tome Eftimov, Barbara Korousic-Seljak

Proceedings of the KDIR 2015, 2015

2013

A pre-log region for the non-coherent MIMO two-way relaying channel.

Zoran Utkovski, Tome Eftimov

Proceedings of the 21st European Signal Processing Conference, 2013