Tome Eftimov

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 148

Top Venues

Publications

Ana Nikolikj, Tome Eftimov
Comparing Solvability Patterns of Algorithms across Diverse Problem Landscapes. GECCO Companion (2024)
Ana Nikolikj, Ana Kostovska, Diederick Vermetten, Carola Doerr, Tome Eftimov
Quantifying Individual and Joint Module Impact in Modular Optimization Frameworks. CoRR (2024)
Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov
TransOptAS: Transformer-Based Algorithm Selection for Single-Objective Optimization. GECCO Companion (2024)
Gjorgjina Cenikj, Ana Nikolikj, Gasper Petelin, Niki van Stein, Carola Doerr, Tome Eftimov
A Survey of Meta-features Used for Automated Selection of Algorithms for Black-box Single-objective Continuous Optimization. CoRR (2024)
Peter Korosec, Tome Eftimov
Per-Run Algorithm Performance Improvement Forecasting Using Exploratory Landscape Analysis Features: A Case Study in Single-Objective Black-Box Optimization. GECCO Companion (2024)
Carolin Benjamins, Gjorgjina Cenikj, Ana Nikolikj, Aditya Mohan, Tome Eftimov, Marius Lindauer
Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization. GECCO Companion (2024)
Gasper Petelin, Gjorgjina Cenikj, Tome Eftimov
TinyTLA: Topological landscape analysis for optimization problem classification in a limited sample setting. Swarm Evol. Comput. 84 (2024)
Peter Korosec, Tome Eftimov
Opt2Vec - a continuous optimization problem representation based on the algorithm's behavior: A case study on problem classification. Inf. Sci. 680 (2024)
Ana Nikolikj, Ana Kostovska, Diederick Vermetten, Carola Doerr, Tome Eftimov
Quantifying Individual and Joint Module Impact in Modular Optimization Frameworks. CEC (2024)
Marko Djukanovic, Aleksandar Kartelj, Tome Eftimov, Jaume Reixach, Christian Blum
Efficient Search Algorithms for the Restricted Longest Common Subsequence Problem. ICCS (5) (2024)
Carolin Benjamins, Gjorgjina Cenikj, Ana Nikolikj, Aditya Mohan, Tome Eftimov, Marius Lindauer
Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization. CoRR (2024)
Ana Nikolikj, Ana Kostovska, Gjorgjina Cenikj, Carola Doerr, Tome Eftimov
Generalization Ability of Feature-based Performance Prediction Models: A Statistical Analysis across Benchmarks. CoRR (2024)
Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov
A cross-benchmark examination of feature-based algorithm selector generalization in single-objective numerical optimization. Swarm Evol. Comput. 87 (2024)
Tome Eftimov, Peter Korosec
Statistical Analyses for Single-objective Stochastic Optimization Algorithms. GECCO Companion (2024)
Gordana Ispirova, Tome Eftimov, Saso Dzeroski, Barbara Korousic-Seljak
MsGEN: Measuring generalization of nutrient value prediction across different recipe datasets. Expert Syst. Appl. 237 (Part B) (2024)
Gjorajina Ceniki, Gasper Petelin, Tome Eftimov
Impact of Scaling in ELA Feature Calculation on Algorithm Selection Cross-Benchmark Transferability. CEC (2024)
Ana Nikolikj, Ana Kostovska, Gjorgjina Cenikj, Carola Doerr, Tome Eftimov
Generalization Ability of Feature-Based Performance Prediction Models: A Statistical Analysis Across Benchmarks. CEC (2024)
Ana Nikolikj, Michal Pluhacek, Carola Doerr, Peter Korosec, Tome Eftimov
Sensitivity Analysis of RF+clust for Leave-one-problem-out Performance Prediction. CoRR (2023)
Ana Nikolikj, Carola Doerr, Tome Eftimov
RF+clust for Leave-One-Problem-Out Performance Prediction. CoRR (2023)
Ana Nikolikj, Michal Pluhacek, Carola Doerr, Peter Korosec, Tome Eftimov
Sensitivity Analysis of RF+clust for Leave-One-Problem-Out Performance Prediction. CEC (2023)
Ana Kostovska, Gjorgjina Cenikj, Diederick Vermetten, Anja Jankovic, Ana Nikolikj, Urban Skvorc, Peter Korosec, Carola Doerr, Tome Eftimov
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization. CoRR (2023)
Ana Kostovska, Anja Jankovic, Diederick Vermetten, Saso Dzeroski, Tome Eftimov, Carola Doerr
Comparing Algorithm Selection Approaches on Black-Box Optimization Problems. CoRR (2023)
Gjorgjina Cenikj, Gasper Petelin, Carola Doerr, Peter Korosec, Tome Eftimov
DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems. GECCO (2023)
Ana Nikolikj, Saso Dzeroski, Mario Andrés Muñoz, Carola Doerr, Peter Korosec, Tome Eftimov
Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances. GECCO (2023)
Gjorgjina Cenikj, Gasper Petelin, Carola Doerr, Peter Korosec, Tome Eftimov
DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems. CoRR (2023)
Gjorgjina Cenikj, Tome Eftimov, Barbara Korousic-Seljak
FooDis: A food-disease relation mining pipeline. Artif. Intell. Medicine 142 (2023)
Gasper Petelin, Gjorgjina Cenikj, Tome Eftimov
Towards understanding the importance of time-series features in automated algorithm performance prediction. Expert Syst. Appl. 213 (Part) (2023)
Urban Skvorc, Tome Eftimov, Peter Korosec
Analyzing the Generalizability of Automated Algorithm Selection: A Case Study for Numerical Optimization. SSCI (2023)
Gordana Ispirova, Tome Eftimov, Barbara Korousic-Seljak
Predefined domain specific embeddings of food concepts and recipes: A case study on heterogeneous recipe datasets. CoRR (2023)
Ana Nikolikj, Saso Dzeroski, Mario Andrés Muñoz, Carola Doerr, Peter Korosec, Tome Eftimov
Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances. CoRR (2023)
Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
OPTION: OPTImization Algorithm Benchmarking ONtology. IEEE Trans. Evol. Comput. 27 (6) (2023)
Ana Kostovska, Gjorgjina Cenikj, Diederick Vermetten, Anja Jankovic, Ana Nikolikj, Urban Skvorc, Peter Korosec, Carola Doerr, Tome Eftimov
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization. AutoML (2023)
Ana Kostovska, Anja Jankovic, Diederick Vermetten, Saso Dzeroski, Tome Eftimov, Carola Doerr
Comparing Algorithm Selection Approaches on Black-Box Optimization Problems. GECCO Companion (2023)
Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Pance Panov, Tome Eftimov, Carola Doerr
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms. CoRR (2023)
Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov
TransOpt: Transformer-based Representation Learning for Optimization Problem Classification. CoRR (2023)
Ana Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov
Assessing the Generalizability of a Performance Predictive Model. CoRR (2023)
Ana Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov
Assessing the Generalizability of a Performance Predictive Model. GECCO Companion (2023)
Gjorgjina Cenikj, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov
SELECTOR: selecting a representative benchmark suite for reproducible statistical comparison. GECCO (2022)
Gjorgjina Cenikj, Eva Valencic, Gordana Ispirova, Matevz Ogrinc, Riste Stojanov, Peter Korosec, Ermanno Cavalli, Barbara Korousic-Seljak, Tome Eftimov
CafeteriaSA corpus: scientific abstracts annotated across different food semantic resources. Database J. Biol. Databases Curation 2022 (2022) (2022)
Risto Trajanov, Ana Nikolikj, Gjorgjina Cenikj, Fabien Teytaud, Mathurin Videau, Olivier Teytaud, Tome Eftimov, Manuel López-Ibáñez, Carola Doerr
Improving Nevergrad's Algorithm Selection Wizard NGOpt Through Automated Algorithm Configuration. PPSN (1) (2022)
Gjorgjina Cenikj, Gasper Petelin, Barbara Korousic-Seljak, Tome Eftimov
SciFoodNER: Food Named Entity Recognition for Scientific Text. Big Data (2022)
Ana Nikolikj, Risto Trajanov, Gjorgjina Cenikj, Peter Korosec, Tome Eftimov
Identifying minimal set of Exploratory Landscape Analysis features for reliable algorithm performance prediction. CEC (2022)
Ana Kostovska, Carola Doerr, Saso Dzeroski, Dragi Kocev, Pance Panov, Tome Eftimov
Explainable Model-specific Algorithm Selection for Multi-Label Classification. CoRR (2022)
Ana Nikolikj, Ryan Dieter Lang, Peter Korosec, Tome Eftimov
Explaining Differential Evolution Performance Through Problem Landscape Characteristics. BIOMA (2022)
Anja Jankovic, Diederick Vermetten, Ana Kostovska, Jacob de Nobel, Tome Eftimov, Carola Doerr
Trajectory-based Algorithm Selection with Warm-starting. CEC (2022)
Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Carola Doerr, Peter Korosec, Tome Eftimov
The importance of landscape features for performance prediction of modular CMA-ES variants. GECCO (2022)
Tome Eftimov, Peter Korosec
Statistical analyses for multi-objective stochastic optimization algorithms: GECCO 2022 tutorial. GECCO Companion (2022)
Urban Skvorc, Tome Eftimov, Peter Korosec
A Comprehensive Analysis of the Invariance of Exploratory Landscape Analysis Features to Function Transformations. CEC (2022)
Gasper Petelin, Gjorgjina Cenikj, Tome Eftimov
TLA: Topological Landscape Analysis for Single-Objective Continuous Optimization Problem Instances. SSCI (2022)
Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
OPTION: OPTImization Algorithm Benchmarking ONtology. CoRR (2022)
Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Carola Doerr, Peter Korosec, Tome Eftimov
The Importance of Landscape Features for Performance Prediction of Modular CMA-ES Variants. CoRR (2022)
Risto Trajanov, Stefan Dimeski, Martin Popovski, Peter Korosec, Tome Eftimov
Explainable Landscape Analysis in Automated Algorithm Performance Prediction. CoRR (2022)
Risto Trajanov, Stefan Dimeski, Martin Popovski, Peter Korosec, Tome Eftimov
Explainable Landscape Analysis in Automated Algorithm Performance Prediction. EvoApplications (2022)
Gjorgjina Cenikj, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov
SELECTOR: Selecting a Representative Benchmark Suite for Reproducible Statistical Comparison. CoRR (2022)
Anja Jankovic, Diederick Vermetten, Ana Kostovska, Jacob de Nobel, Tome Eftimov, Carola Doerr
Trajectory-based Algorithm Selection with Warm-starting. CoRR (2022)
Emilija Georgievska, Martina Stojanoska, Sanja Mishovska, Tome Eftimov, Dimitar Trajanov
Multimodal Analysis of User-recipes Interactions. HEALTHINF (2022)
Milena Trajanoska, Risto Trajanov, Tome Eftimov
Dietary, comorbidity, and geo-economic data fusion for explainable COVID-19 mortality prediction. Expert Syst. Appl. 209 (2022)
Risto Trajanov, Ana Nikolikj, Gjorgjina Cenikj, Fabien Teytaud, Mathurin Videau, Olivier Teytaud, Tome Eftimov, Manuel López-Ibáñez, Carola Doerr
Improving Nevergrad's Algorithm Selection Wizard NGOpt through Automated Algorithm Configuration. CoRR (2022)
Ana Kostovska, Anja Jankovic, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, Carola Doerr
Per-run Algorithm Selection with Warm-Starting Using Trajectory-Based Features. PPSN (1) (2022)
Ana Kostovska, Carola Doerr, Saso Dzeroski, Dragi Kocev, Pance Panov, Tome Eftimov
Explainable Model-specific Algorithm Selection for Multi-Label Classification. SSCI (2022)
Gordana Ispirova, Tome Eftimov, Barbara Korousic-Seljak
Predefined domain specific embeddings of food concepts and recipes: A case study on heterogeneous recipe datasets. Big Data (2022)
Christian Blum, Tome Eftimov, Peter Korosec
Preface. Nat. Comput. 21 (2) (2022)
Ana Kostovska, Anja Jankovic, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, Carola Doerr
Per-run Algorithm Selection with Warm-starting using Trajectory-based Features. CoRR (2022)
Tome Eftimov, Gasper Petelin, Gjorgjina Cenikj, Ana Kostovska, Gordana Ispirova, Peter Korosec, Jasmin Bogatinovski
Less is more: Selecting the right benchmarking set of data for time series classification. Expert Syst. Appl. 198 (2022)
Anja Jankovic, Tome Eftimov, Carola Doerr
Towards Feature-Based Performance Regression Using Trajectory Data. CoRR (2021)
Tome Eftimov, Peter Korosec
Robust benchmarking for multi-objective optimization. GECCO Companion (2021)
Tome Eftimov, Peter Korosec
Statistical analyses for meta-heuristic stochastic optimization algorithms. GECCO Companion (2021)
Urban Skvorc, Tome Eftimov, Peter Korosec
The Effect of Sampling Methods on the Invariance to Function Transformations When Using Exploratory Landscape Analysis. CEC (2021)
Gjorgjina Cenikj, Barbara Korousic-Seljak, Tome Eftimov
FoodChem: A food-chemical relation extraction model. CoRR (2021)
Gjorgjina Cenikj, Tome Eftimov, Barbara Korousic-Seljak
SAFFRON: tranSfer leArning For Food-disease RelatiOn extractioN. BioNLP@NAACL-HLT (2021)
Tome Eftimov, Peter Korosec
Deep Statistical Comparison for Multi-Objective Stochastic Optimization Algorithms. Swarm Evol. Comput. 61 (2021)
Gjorgjina Cenikj, Barbara Korousic-Seljak, Tome Eftimov
FoodChem: A food-chemical relation extraction model. SSCI (2021)
Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
OPTION: OPTImization Algorithm Benchmarking ONtology. CoRR (2021)
Risto Trajanov, Stefan Dimeski, Martin Popovski, Peter Korosec, Tome Eftimov
Explainable Landscape-Aware Optimization Performance Prediction. SSCI (2021)
Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
OPTION: optimization algorithm benchmarking ontology. GECCO Companion (2021)
Hao Wang, Carlos Ignacio Hernández Castellanos, Tome Eftimov
On Statistical Analysis of MOEAs with Multiple Performance Indicators. EMO (2021)
Tome Eftimov, Anja Jankovic, Gorjan Popovski, Carola Doerr, Peter Korosec
Personalizing performance regression models to black-box optimization problems. GECCO (2021)
Risto Trajanov, Stefan Dimeski, Martin Popovski, Peter Korosec, Tome Eftimov
Explainable Landscape-Aware Optimization Performance Prediction. CoRR (2021)
Tome Eftimov, Peter Korosec
Reducing bias in multi-objective optimization benchmarking. GECCO Companion (2021)
Christian Blum, Tome Eftimov, Peter Korosec
Preface. Nat. Comput. 20 (3) (2021)
Angela Kralevska, Marija Velichkovska, Viktor Cicimov, Tome Eftimov, Monika Simjanoska
Finding Potential Inhibitors of COVID-19. BIOINFORMATICS (2021)
Gjorgji Noveski, Tome Eftimov, Kostadin Mishev, Monika Simjanoska
Data-Driven Intelligence System for General Recommendations of Deep Learning Architectures. IEEE Access 9 (2021)
Tome Eftimov, Anja Jankovic, Gorjan Popovski, Carola Doerr, Peter Korosec
Personalizing Performance Regression Models to Black-Box Optimization Problems. CoRR (2021)
Tome Eftimov, Bibek Paudel, Gorjan Popovski, Dragi Kocev
A Framework for Evaluating Personalized Ranking Systems by Fusing Different Evaluation Measures. Big Data Res. 25 (2021)
Anja Jankovic, Tome Eftimov, Carola Doerr
Towards Feature-Based Performance Regression Using Trajectory Data. EvoApplications (2021)
Anja Jankovic, Gorjan Popovski, Tome Eftimov, Carola Doerr
The impact of hyper-parameter tuning for landscape-aware performance regression and algorithm selection. GECCO (2021)
Anja Jankovic, Gorjan Popovski, Tome Eftimov, Carola Doerr
The Impact of Hyper-Parameter Tuning for Landscape-Aware Performance Regression and Algorithm Selection. CoRR (2021)
Gjorgjina Cenikj, Bozhanka Vitanova, Tome Eftimov
Skills Named-Entity Recognition for Creating a Skill Inventory of Today's Workplace. IEEE BigData (2021)
Urban Skvorc, Tome Eftimov, Peter Korosec
A Complementarity Analysis of the COCO Benchmark Problems and Artificially Generated Problems. CoRR (2021)
Urban Skvorc, Tome Eftimov, Peter Korosec
A complementarity analysis of the COCO benchmark problems and artificially generated problems. GECCO Companion (2021)
Monika Simjanoska, Stefan Kochev, Jovan Tanevski, Ana Madevska Bogdanova, Gregor Papa, Tome Eftimov
Multi-level information fusion for learning a blood pressure predictive model using sensor data. Inf. Fusion 58 (2020)
Nina Resçiç, Tome Eftimov, Barbara Korousic-Seljak
Comparison of Feature Selection Algorithms for Minimization of Target Specific FFQs. IEEE BigData (2020)
Tome Eftimov, Gorjan Popovski, Quentin Renau, Peter Korosec, Carola Doerr
Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes. CoRR (2020)
Gordana Ispirova, Tome Eftimov, Barbara Korousic-Seljak
Exploring Knowledge Domain Bias on a Prediction Task for Food and Nutrition Data. IEEE BigData (2020)
Tome Eftimov, Gasper Petelin, Peter Korosec
DSCTool: A web-service-based framework for statistical comparison of stochastic optimization algorithms. Appl. Soft Comput. 87 (2020)
Eva Tuba, Peter Korosec, Tome Eftimov
In-Depth Insights into Swarm Intelligence Algorithms Performance. MDIS (2020)
Gorjan Popovski, Gordana Ispirova, Nina Hadzi-Kotarova, Eva Valencic, Tome Eftimov, Barbara Korousic-Seljak
Food Data Integration by using Heuristics based on Lexical and Semantic Similarities. HEALTHINF (2020)
Tome Eftimov, Gorjan Popovski, Dragi Kocev, Peter Korosec
Performance2vec: a step further in explainable stochastic optimization algorithm performance. GECCO Companion (2020)
Urban Skvorc, Tome Eftimov, Peter Korosec
Understanding the problem space in single-objective numerical optimization using exploratory landscape analysis. Appl. Soft Comput. 90 (2020)
Tome Eftimov, Rok Hribar, Urban Skvorc, Gorjan Popovski, Gasper Petelin, Peter Korosec
PerformViz: a machine learning approach to visualize and understand the performance of single-objective optimization algorithms. GECCO Companion (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tome Eftimov