Tome Eftimov - RankMe

192 papers A 8B 19C 8Journal 81Unranked 74

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A survey of features used for representing black-box single-objective continuous optimization. Swarm Evol. Comput. Gjorgjina Cenikj, Ana Nikolikj, Gasper Petelin, Niki van Stein, Carola Doerr, Tome Eftimov
2026	J	`jnl`	Beyond Fine-Tuning: Robust Food Entity Linking under Ontology Drift with FoodOntoRAG. CoRR Jan Drole, Ana Gjorgjevikj, Barbara Korousic-Seljak, Tome Eftimov
2026	J	`jnl`	Evaluation of LLMs in retrieving food and nutritional context for RAG systems. CoRR Maks Pozarnik Vavken, Matevz Ogrinc, Tome Eftimov, Barbara Korousic-Seljak
2026	J	`jnl`	Fusing Semantic, Lexical, and Domain Perspectives for Recipe Similarity Estimation. CoRR Denica Kjorvezir, Danilo Najkov, Eva Valencic, Erika Jesenko, Barbara Korousic-Seljak, Tome Eftimov, Riste Stojanov
2026	J	`jnl`	Quantifying the Impact of Modules and Their Interactions in the PSO-X Framework. CoRR Christian L. Camacho Villalón, Ana Nikolikj, Katharina Dost, Eva Tuba, Saso Dzeroski, Tome Eftimov
2025	J	`jnl`	A learning search algorithm for the Restricted Longest Common Subsequence problem. Expert Syst. Appl. Marko Djukanovic, Jaume Reixach, Ana Nikolikj, Tome Eftimov, Aleksandar Kartelj, Christian Blum
2025	A	`conf`	Adaptive Estimation of the Number of Algorithm Runs in Stochastic Optimization. GECCO Tome Eftimov, Peter Korosec
2025	J	`jnl`	Adaptive Estimation of the Number of Algorithm Runs in Stochastic Optimization. CoRR Tome Eftimov, Peter Korosec
2025	J	`jnl`	Benchmarking footprints of continuous black-box optimization algorithms: Explainable insights into algorithm success and failure. Swarm Evol. Comput. Ana Nikolikj, Mario Andrés Muñoz, Tome Eftimov
2025	B	`conf`	Beyond Fine-Tuning: Robust Food Entity Linking Under Ontology Drift with FoodOntoRAG. IEEE Big Data Jan Drole, Ana Gjorgjevikj, Barbara Korousic-Seljak, Tome Eftimov
2025	B	`conf`	ClustOpt: A Clustering-Based Approach for Representing and Visualizing the Search Dynamics of Numerical Metaheuristic Optimization Algorithms. CEC Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov
2025	J	`jnl`	ClustOpt: A Clustering-based Approach for Representing and Visualizing the Search Dynamics of Numerical Metaheuristic Optimization Algorithms. CoRR Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov
2025	—	`conf`	Comparing Optimization Algorithms Through the Lens of Search Behavior Analysis. GECCO Companion Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov
2025	J	`jnl`	Comparing Optimization Algorithms Through the Lens of Search Behavior Analysis. CoRR Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov
2025	J	`jnl`	Comprehensive benchmarking of knowledge graph embeddings methods for Android malware detection. Expert Syst. Appl. Jan Kincl, Tome Eftimov, Adam Viktorin, Roman Senkerik, Tanja Pavleska
2025	A	`conf`	Customized Exploration of Landscape Features Driving Multi-Objective Combinatorial Optimization Performance. GECCO Ana Nikolikj, Gabriela Ochoa, Tome Eftimov
2025	J	`jnl`	Customized Exploration of Landscape Features Driving Multi-Objective Combinatorial Optimization Performance. CoRR Ana Nikolikj, Gabriela Ochoa, Tome Eftimov
2025	B	`conf`	Evaluation of LLMs in Retrieving Food and Nutritional Context for RAG Systems. IEEE Big Data Maks Pozarnik Vavken, Matevz Ogrinc, Tome Eftimov, Barbara Korousic-Seljak
2025	J	`jnl`	Exploring module interactions in modular CMA-ES across problem classes. Swarm Evol. Comput. Ana Nikolikj, Tome Eftimov
2025	B	`conf`	FoodSEM: Large Language Model Specialized in Food Named-Entity Linking. DS Ana Gjorgjevikj, Matej Martinc, Gjorgjina Cenikj, Saso Dzeroski, Barbara Korousic-Seljak, Tome Eftimov
2025	J	`jnl`	FoodSEM: Large Language Model Specialized in Food Named-Entity Linking. CoRR Ana Gjorgjevikj, Matej Martinc, Gjorgjina Cenikj, Saso Dzeroski, Barbara Korousic-Seljak, Tome Eftimov
2025	B	`conf`	Fusing Semantic, Lexical, and Domain Perspectives for Recipe Similarity Estimation. IEEE Big Data Denica Kjorvezir, Danilo Najkov, Eva Valencic, Erika Jesenko, Barbara Korousic-Seljak, Tome Eftimov, Riste Stojanov
2025	—	`conf`	Geometric Learning in Black-Box Optimization: A GNN Framework for Algorithm Performance Prediction. GECCO Companion Ana Kostovska, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
2025	J	`jnl`	Geometric Learning in Black-Box Optimization: A GNN Framework for Algorithm Performance Prediction. CoRR Ana Kostovska, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
2025	J	`jnl`	Landscape Features in Single-Objective Continuous Optimization: Have We Hit a Wall in Algorithm Selection Generalization? CoRR Gjorgjina Cenikj, Gasper Petelin, Moritz Seiler, Nikola Cenikj, Tome Eftimov
2025	J	`jnl`	Landscape features in single-objective continuous optimization: Have we hit a wall in algorithm selection generalization? Swarm Evol. Comput. Gjorgjina Cenikj, Gasper Petelin, Moritz Seiler, Nikola Cenikj, Tome Eftimov
2025	—	`conf`	Recent Advances in Meta-features Used for Representing Black-box Single-objective Continuous Optimization. GECCO Companion Gjorgjina Cenikj, Ana Nikolikj, Tome Eftimov
2025	B	`conf`	Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes. CEC Ana Nikolikj, Mario Andrés Muñoz, Eva Tuba, Tome Eftimov
2025	J	`jnl`	Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes. CoRR Ana Nikolikj, Mario Andrés Muñoz, Eva Tuba, Tome Eftimov
2025	J	`jnl`	User-defined trade-offs in LLM benchmarking: balancing accuracy, scale, and sustainability. Knowl. Based Syst. Ana Gjorgjevikj, Ana Nikolikj, Barbara Korousic-Seljak, Tome Eftimov
2024	J	`jnl`	A Learning Search Algorithm for the Restricted Longest Common Subsequence Problem. CoRR Marko Djukanovic, Jaume Reixach, Ana Nikolikj, Tome Eftimov, Aleksandar Kartelj, Christian Blum
2024	J	`jnl`	A Survey of Meta-features Used for Automated Selection of Algorithms for Black-box Single-objective Continuous Optimization. CoRR Gjorgjina Cenikj, Ana Nikolikj, Gasper Petelin, Niki van Stein, Carola Doerr, Tome Eftimov
2024	J	`jnl`	A cross-benchmark examination of feature-based algorithm selector generalization in single-objective numerical optimization. Swarm Evol. Comput. Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov
2024	—	`conf`	Aligning Food Ingredients with Multiple Semantic Resources. ICT Innovations Darko Sasanski, Andrej Todorovski, Bojan Trpeski, Dimitar Trajanov, Tome Eftimov, Riste Stojanov
2024	—	`conf`	Comparing Solvability Patterns of Algorithms across Diverse Problem Landscapes. GECCO Companion Ana Nikolikj, Tome Eftimov
2024	—	`conf`	Efficient Search Algorithms for the Restricted Longest Common Subsequence Problem. ICCS (5) Marko Djukanovic, Aleksandar Kartelj, Tome Eftimov, Jaume Reixach, Christian Blum
2024	B	`conf`	Generalization Ability of Feature-Based Performance Prediction Models: A Statistical Analysis Across Benchmarks. CEC Ana Nikolikj, Ana Kostovska, Gjorgjina Cenikj, Carola Doerr, Tome Eftimov
2024	J	`jnl`	Generalization Ability of Feature-based Performance Prediction Models: A Statistical Analysis across Benchmarks. CoRR Ana Nikolikj, Ana Kostovska, Gjorgjina Cenikj, Carola Doerr, Tome Eftimov
2024	B	`conf`	Impact of Scaling in ELA Feature Calculation on Algorithm Selection Cross-Benchmark Transferability. CEC Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov
2024	—	`conf`	Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization. GECCO Companion Carolin Benjamins, Gjorgjina Cenikj, Ana Nikolikj, Aditya Mohan, Tome Eftimov, Marius Lindauer
2024	J	`jnl`	Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization. CoRR Carolin Benjamins, Gjorgjina Cenikj, Ana Nikolikj, Aditya Mohan, Tome Eftimov, Marius Lindauer
2024	J	`jnl`	MsGEN: Measuring generalization of nutrient value prediction across different recipe datasets. Expert Syst. Appl. Gordana Ispirova, Tome Eftimov, Saso Dzeroski, Barbara Korousic-Seljak
2024	J	`jnl`	Opt2Vec - a continuous optimization problem representation based on the algorithm's behavior: A case study on problem classification. Inf. Sci. Peter Korosec, Tome Eftimov
2024	—	`conf`	Per-Run Algorithm Performance Improvement Forecasting Using Exploratory Landscape Analysis Features: A Case Study in Single-Objective Black-Box Optimization. GECCO Companion Peter Korosec, Tome Eftimov
2024	B	`conf`	Quantifying Individual and Joint Module Impact in Modular Optimization Frameworks. CEC Ana Nikolikj, Ana Kostovska, Diederick Vermetten, Carola Doerr, Tome Eftimov
2024	J	`jnl`	Quantifying Individual and Joint Module Impact in Modular Optimization Frameworks. CoRR Ana Nikolikj, Ana Kostovska, Diederick Vermetten, Carola Doerr, Tome Eftimov
2024	—	`conf`	Statistical Analyses for Single-objective Stochastic Optimization Algorithms. GECCO Companion Tome Eftimov, Peter Korosec
2024	J	`jnl`	TinyTLA: Topological landscape analysis for optimization problem classification in a limited sample setting. Swarm Evol. Comput. Gasper Petelin, Gjorgjina Cenikj, Tome Eftimov
2024	—	`conf`	TransOptAS: Transformer-Based Algorithm Selection for Single-Objective Optimization. GECCO Companion Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov
2024	—	`conf`	Trustworthy Benchmarking for Black-Box Single-Objective Optimization. EXPLAINS Tome Eftimov
2024	C	`conf`	Trustworthy Benchmarking for Black-Box Single-Objective Optimization. IJCCI Tome Eftimov
2023	A	`conf`	Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances. GECCO Ana Nikolikj, Saso Dzeroski, Mario Andrés Muñoz, Carola Doerr, Peter Korosec, Tome Eftimov
2023	J	`jnl`	Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances. CoRR Ana Nikolikj, Saso Dzeroski, Mario Andrés Muñoz, Carola Doerr, Peter Korosec, Tome Eftimov
2023	—	`conf`	Analyzing the Generalizability of Automated Algorithm Selection: A Case Study for Numerical Optimization. SSCI Urban Skvorc, Tome Eftimov, Peter Korosec
2023	—	`conf`	Assessing the Generalizability of a Performance Predictive Model. GECCO Companion Ana Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov
2023	J	`jnl`	Assessing the Generalizability of a Performance Predictive Model. CoRR Ana Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov
2023	—	`conf`	Comparing Algorithm Selection Approaches on Black-Box Optimization Problems. GECCO Companion Ana Kostovska, Anja Jankovic, Diederick Vermetten, Saso Dzeroski, Tome Eftimov, Carola Doerr
2023	J	`jnl`	Comparing Algorithm Selection Approaches on Black-Box Optimization Problems. CoRR Ana Kostovska, Anja Jankovic, Diederick Vermetten, Saso Dzeroski, Tome Eftimov, Carola Doerr
2023	A	`conf`	DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems. GECCO Gjorgjina Cenikj, Gasper Petelin, Carola Doerr, Peter Korosec, Tome Eftimov
2023	J	`jnl`	DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems. CoRR Gjorgjina Cenikj, Gasper Petelin, Carola Doerr, Peter Korosec, Tome Eftimov
2023	J	`jnl`	FooDis: A food-disease relation mining pipeline. Artif. Intell. Medicine Gjorgjina Cenikj, Tome Eftimov, Barbara Korousic-Seljak
2023	J	`jnl`	OPTION: OPTImization Algorithm Benchmarking ONtology. IEEE Trans. Evol. Comput. Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
2023	—	`conf`	PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization. AutoML Ana Kostovska, Gjorgjina Cenikj, Diederick Vermetten, Anja Jankovic, Ana Nikolikj, Urban Skvorc, Peter Korosec, Carola Doerr, Tome Eftimov
2023	J	`jnl`	PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization. CoRR Ana Kostovska, Gjorgjina Cenikj, Diederick Vermetten, Anja Jankovic, Ana Nikolikj, Urban Skvorc, Peter Korosec, Carola Doerr, Tome Eftimov
2023	J	`jnl`	Predefined domain specific embeddings of food concepts and recipes: A case study on heterogeneous recipe datasets. CoRR Gordana Ispirova, Tome Eftimov, Barbara Korousic-Seljak
2023	—	`conf`	RF+clust for Leave-One-Problem-Out Performance Prediction. EvoApplications@EvoStar Ana Nikolikj, Carola Doerr, Tome Eftimov
2023	J	`jnl`	RF+clust for Leave-One-Problem-Out Performance Prediction. CoRR Ana Nikolikj, Carola Doerr, Tome Eftimov
2023	B	`conf`	Sensitivity Analysis of RF+clust for Leave-One-Problem-Out Performance Prediction. CEC Ana Nikolikj, Michal Pluhacek, Carola Doerr, Peter Korosec, Tome Eftimov
2023	J	`jnl`	Sensitivity Analysis of RF+clust for Leave-one-problem-out Performance Prediction. CoRR Ana Nikolikj, Michal Pluhacek, Carola Doerr, Peter Korosec, Tome Eftimov
2023	J	`jnl`	Towards understanding the importance of time-series features in automated algorithm performance prediction. Expert Syst. Appl. Gasper Petelin, Gjorgjina Cenikj, Tome Eftimov
2023	J	`jnl`	TransOpt: Transformer-based Representation Learning for Optimization Problem Classification. CoRR Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov
2023	—	`conf`	Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms. EvoApplications@EvoStar Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Pance Panov, Tome Eftimov, Carola Doerr
2023	J	`jnl`	Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms. CoRR Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Pance Panov, Tome Eftimov, Carola Doerr
2022	B	`conf`	A Comprehensive Analysis of the Invariance of Exploratory Landscape Analysis Features to Function Transformations. CEC Urban Skvorc, Tome Eftimov, Peter Korosec
2022	—	`ed.`	Bioinspired Optimization Methods and Their Applications - 10th International Conference, BIOMA 2022, Maribor, Slovenia, November 17-18, 2022, Proceedings BIOMA Marjan Mernik, Tome Eftimov, Matej Crepinsek
2022	J	`jnl`	CafeteriaSA corpus: scientific abstracts annotated across different food semantic resources. Database J. Biol. Databases Curation Gjorgjina Cenikj, Eva Valencic, Gordana Ispirova, Matevz Ogrinc, Riste Stojanov, Peter Korosec, Ermanno Cavalli, Barbara Korousic-Seljak, Tome Eftimov
2022	—	`book`	Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms Tome Eftimov, Peter Korosec
2022	J	`jnl`	Dietary, comorbidity, and geo-economic data fusion for explainable COVID-19 mortality prediction. Expert Syst. Appl. Milena Trajanoska, Risto Trajanov, Tome Eftimov
2022	B	`conf`	Explainable Landscape Analysis in Automated Algorithm Performance Prediction. EvoApplications Risto Trajanov, Stefan Dimeski, Martin Popovski, Peter Korosec, Tome Eftimov
2022	J	`jnl`	Explainable Landscape Analysis in Automated Algorithm Performance Prediction. CoRR Risto Trajanov, Stefan Dimeski, Martin Popovski, Peter Korosec, Tome Eftimov
2022	—	`conf`	Explainable Model-specific Algorithm Selection for Multi-Label Classification. SSCI Ana Kostovska, Carola Doerr, Saso Dzeroski, Dragi Kocev, Pance Panov, Tome Eftimov
2022	J	`jnl`	Explainable Model-specific Algorithm Selection for Multi-Label Classification. CoRR Ana Kostovska, Carola Doerr, Saso Dzeroski, Dragi Kocev, Pance Panov, Tome Eftimov
2022	—	`conf`	Explaining Differential Evolution Performance Through Problem Landscape Characteristics. BIOMA Ana Nikolikj, Ryan Dieter Lang, Peter Korosec, Tome Eftimov
2022	B	`conf`	Identifying minimal set of Exploratory Landscape Analysis features for reliable algorithm performance prediction. CEC Ana Nikolikj, Risto Trajanov, Gjorgjina Cenikj, Peter Korosec, Tome Eftimov
2022	—	`conf`	Improving Nevergrad's Algorithm Selection Wizard NGOpt Through Automated Algorithm Configuration. PPSN (1) Risto Trajanov, Ana Nikolikj, Gjorgjina Cenikj, Fabien Teytaud, Mathurin Videau, Olivier Teytaud, Tome Eftimov, Manuel López-Ibáñez, Carola Doerr
2022	J	`jnl`	Improving Nevergrad's Algorithm Selection Wizard NGOpt through Automated Algorithm Configuration. CoRR Risto Trajanov, Ana Nikolikj, Gjorgjina Cenikj, Fabien Teytaud, Mathurin Videau, Olivier Teytaud, Tome Eftimov, Manuel López-Ibáñez, Carola Doerr
2022	J	`jnl`	Less is more: Selecting the right benchmarking set of data for time series classification. Expert Syst. Appl. Tome Eftimov, Gasper Petelin, Gjorgjina Cenikj, Ana Kostovska, Gordana Ispirova, Peter Korosec, Jasmin Bogatinovski
2022	—	`conf`	Multimodal Analysis of User-recipes Interactions. HEALTHINF Emilija Georgievska, Martina Stojanoska, Sanja Mishovska, Tome Eftimov, Dimitar Trajanov
2022	J	`jnl`	OPTION: OPTImization Algorithm Benchmarking ONtology. CoRR Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
2022	—	`conf`	Per-run Algorithm Selection with Warm-Starting Using Trajectory-Based Features. PPSN (1) Ana Kostovska, Anja Jankovic, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, Carola Doerr
2022	J	`jnl`	Per-run Algorithm Selection with Warm-starting using Trajectory-based Features. CoRR Ana Kostovska, Anja Jankovic, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, Carola Doerr
2022	B	`conf`	Predefined domain specific embeddings of food concepts and recipes: A case study on heterogeneous recipe datasets. IEEE Big Data Gordana Ispirova, Tome Eftimov, Barbara Korousic-Seljak
2022	J	`jnl`	Preface. Nat. Comput. Christian Blum, Tome Eftimov, Peter Korosec
2022	J	`jnl`	SELECTOR: Selecting a Representative Benchmark Suite for Reproducible Statistical Comparison. CoRR Gjorgjina Cenikj, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov
2022	A	`conf`	SELECTOR: selecting a representative benchmark suite for reproducible statistical comparison. GECCO Gjorgjina Cenikj, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov
2022	B	`conf`	SciFoodNER: Food Named Entity Recognition for Scientific Text. IEEE Big Data Gjorgjina Cenikj, Gasper Petelin, Barbara Korousic-Seljak, Tome Eftimov
2022	—	`conf`	Statistical analyses for multi-objective stochastic optimization algorithms: GECCO 2022 tutorial. GECCO Companion Tome Eftimov, Peter Korosec
2022	—	`conf`	TLA: Topological Landscape Analysis for Single-Objective Continuous Optimization Problem Instances. SSCI Gasper Petelin, Gjorgjina Cenikj, Tome Eftimov
2022	J	`jnl`	The Importance of Landscape Features for Performance Prediction of Modular CMA-ES Variants. CoRR Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Carola Doerr, Peter Korosec, Tome Eftimov
2022	A	`conf`	The importance of landscape features for performance prediction of modular CMA-ES variants. GECCO Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Carola Doerr, Peter Korosec, Tome Eftimov
2022	B	`conf`	Trajectory-based Algorithm Selection with Warm-starting. CEC Anja Jankovic, Diederick Vermetten, Ana Kostovska, Jacob de Nobel, Tome Eftimov, Carola Doerr
2022	J	`jnl`	Trajectory-based Algorithm Selection with Warm-starting. CoRR Anja Jankovic, Diederick Vermetten, Ana Kostovska, Jacob de Nobel, Tome Eftimov, Carola Doerr
2021	J	`jnl`	A Complementarity Analysis of the COCO Benchmark Problems and Artificially Generated Problems. CoRR Urban Skvorc, Tome Eftimov, Peter Korosec
2021	J	`jnl`	A Framework for Evaluating Personalized Ranking Systems by Fusing Different Evaluation Measures. Big Data Res. Tome Eftimov, Bibek Paudel, Gorjan Popovski, Dragi Kocev
2021	—	`conf`	A complementarity analysis of the COCO benchmark problems and artificially generated problems. GECCO Companion Urban Skvorc, Tome Eftimov, Peter Korosec
2021	J	`jnl`	Data-Driven Intelligence System for General Recommendations of Deep Learning Architectures. IEEE Access Gjorgji Noveski, Tome Eftimov, Kostadin Mishev, Monika Simjanoska
2021	J	`jnl`	Deep Statistical Comparison for Multi-Objective Stochastic Optimization Algorithms. Swarm Evol. Comput. Tome Eftimov, Peter Korosec
2021	—	`conf`	Explainable Landscape-Aware Optimization Performance Prediction. SSCI Risto Trajanov, Stefan Dimeski, Martin Popovski, Peter Korosec, Tome Eftimov
2021	J	`jnl`	Explainable Landscape-Aware Optimization Performance Prediction. CoRR Risto Trajanov, Stefan Dimeski, Martin Popovski, Peter Korosec, Tome Eftimov
2021	—	`conf`	Finding Potential Inhibitors of COVID-19. BIOINFORMATICS Angela Kralevska, Marija Velichkovska, Viktor Cicimov, Tome Eftimov, Monika Simjanoska
2021	—	`conf`	FoodChem: A food-chemical relation extraction model. SSCI Gjorgjina Cenikj, Barbara Korousic-Seljak, Tome Eftimov
2021	J	`jnl`	FoodChem: A food-chemical relation extraction model. CoRR Gjorgjina Cenikj, Barbara Korousic-Seljak, Tome Eftimov
2021	J	`jnl`	OPTION: OPTImization Algorithm Benchmarking ONtology. CoRR Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
2021	—	`conf`	OPTION: optimization algorithm benchmarking ontology. GECCO Companion Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
2021	C	`conf`	On Statistical Analysis of MOEAs with Multiple Performance Indicators. EMO Hao Wang, Carlos Ignacio Hernández Castellanos, Tome Eftimov
2021	J	`jnl`	Personalizing Performance Regression Models to Black-Box Optimization Problems. CoRR Tome Eftimov, Anja Jankovic, Gorjan Popovski, Carola Doerr, Peter Korosec
2021	A	`conf`	Personalizing performance regression models to black-box optimization problems. GECCO Tome Eftimov, Anja Jankovic, Gorjan Popovski, Carola Doerr, Peter Korosec
2021	J	`jnl`	Preface. Nat. Comput. Christian Blum, Tome Eftimov, Peter Korosec
2021	—	`conf`	Reducing bias in multi-objective optimization benchmarking. GECCO Companion Tome Eftimov, Peter Korosec
2021	—	`conf`	Robust benchmarking for multi-objective optimization. GECCO Companion Tome Eftimov, Peter Korosec
2021	—	`conf`	SAFFRON: tranSfer leArning For Food-disease RelatiOn extractioN. BioNLP@NAACL-HLT Gjorgjina Cenikj, Tome Eftimov, Barbara Korousic-Seljak
2021	—	`conf`	Skills Named-Entity Recognition for Creating a Skill Inventory of Today's Workplace. IEEE BigData Gjorgjina Cenikj, Bozhanka Vitanova, Tome Eftimov
2021	—	`conf`	Statistical analyses for meta-heuristic stochastic optimization algorithms. GECCO Companion Tome Eftimov, Peter Korosec
2021	B	`conf`	The Effect of Sampling Methods on the Invariance to Function Transformations When Using Exploratory Landscape Analysis. CEC Urban Skvorc, Tome Eftimov, Peter Korosec
2021	J	`jnl`	The Impact of Hyper-Parameter Tuning for Landscape-Aware Performance Regression and Algorithm Selection. CoRR Anja Jankovic, Gorjan Popovski, Tome Eftimov, Carola Doerr
2021	A	`conf`	The impact of hyper-parameter tuning for landscape-aware performance regression and algorithm selection. GECCO Anja Jankovic, Gorjan Popovski, Tome Eftimov, Carola Doerr
2021	B	`conf`	Towards Feature-Based Performance Regression Using Trajectory Data. EvoApplications Anja Jankovic, Tome Eftimov, Carola Doerr
2021	J	`jnl`	Towards Feature-Based Performance Regression Using Trajectory Data. CoRR Anja Jankovic, Tome Eftimov, Carola Doerr
2020	—	`conf`	A Novel Approach for Modelling the Relationship between Blood Pressure and ECG by using Time-series Feature Extraction. BIOSIGNALS Stefan Kochev, Neven Stevchev, Svetlana Kocheva, Tome Eftimov, Monika Simjanoska
2020	J	`jnl`	A Survey of Named-Entity Recognition Methods for Food Information Extraction. IEEE Access Gorjan Popovski, Barbara Korousic-Seljak, Tome Eftimov
2020	—	`conf`	APRICOT: A humAn-comPuteR InteraCtion tool for linking foOd wasTe streams across different semantic resources. IEEE BigData Bojan Dimoski, Riste Stojanov, Tome Eftimov, Hannah Pinchen, Maria Traka, Paul Finglas, Barbara Korousic-Seljak
2020	—	`conf`	An Insight into Food Semantics: Review, Analysis, and Lessons Learnt over Food-Related Studies (short paper). ICBO/ODLS Gorjan Popovski, Gordana Ispirova, Eva Valencic, Riste Stojanov, Tome Eftimov, Barbara Korousic-Seljak
2020	J	`jnl`	Benchmarking in Optimization: Best Practice and Open Issues. CoRR 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
2020	—	`conf`	BuTTER: BidirecTional LSTM for Food Named-Entity Recognition. IEEE BigData Gjorgjina Cenikj, Gorjan Popovski, Riste Stojanov, Barbara Korousic-Seljak, Tome Eftimov
2020	—	`conf`	Comparison of Feature Selection Algorithms for Minimization of Target Specific FFQs. IEEE BigData Nina Resçiç, Tome Eftimov, Barbara Korousic-Seljak
2020	J	`jnl`	DSCTool: A web-service-based framework for statistical comparison of stochastic optimization algorithms. Appl. Soft Comput. Tome Eftimov, Gasper Petelin, Peter Korosec
2020	—	`conf`	Deep statistics: more robust performance statistics for single-objective optimization benchmarking. GECCO Companion Tome Eftimov, Gasper Petelin, Rok Hribar, Gorjan Popovski, Urban Skvorc, Peter Korosec
2020	—	`conf`	Exploring Knowledge Domain Bias on a Prediction Task for Food and Nutrition Data. IEEE BigData Gordana Ispirova, Tome Eftimov, Barbara Korousic-Seljak
2020	—	`conf`	Food Data Integration by using Heuristics based on Lexical and Semantic Similarities. HEALTHINF Gorjan Popovski, Gordana Ispirova, Nina Hadzi-Kotarova, Eva Valencic, Tome Eftimov, Barbara Korousic-Seljak
2020	—	`conf`	Food Data Normalization Using Lexical and Semantic Similarities Heuristics. BIOSTEC (Selected Papers) Gordana Ispirova, Gorjan Popovski, Eva Valencic, Nina Hadzi-Kotarova, Tome Eftimov, Barbara Korousic-Seljak
2020	—	`conf`	FoodViz: Visualization of Food Entities Linked Across Different Standards. LOD (2) Riste Stojanov, Gorjan Popovski, Nasi Jofce, Dimitar Trajanov, Barbara Korousic-Seljak, Tome Eftimov
2020	—	`conf`	In-Depth Insights into Swarm Intelligence Algorithms Performance. MDIS Eva Tuba, Peter Korosec, Tome Eftimov
2020	—	`conf`	Is the statistical significance between stochastic optimization algorithms' performances also significant in practice? GECCO Companion Tome Eftimov, Peter Korosec
2020	—	`conf`	Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes. SSCI Tome Eftimov, Gorjan Popovski, Quentin Renau, Peter Korosec, Carola Doerr
2020	J	`jnl`	Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes. CoRR Tome Eftimov, Gorjan Popovski, Quentin Renau, Peter Korosec, Carola Doerr
2020	J	`jnl`	Multi-level information fusion for learning a blood pressure predictive model using sensor data. Inf. Fusion Monika Simjanoska, Stefan Kochev, Jovan Tanevski, Ana Madevska Bogdanova, Gregor Papa, Tome Eftimov
2020	J	`jnl`	On Statistical Analysis of MOEAs with Multiple Performance Indicators. CoRR Hao Wang, Carlos Ignacio Hernández Castellanos, Tome Eftimov
2020	—	`conf`	PerformViz: a machine learning approach to visualize and understand the performance of single-objective optimization algorithms. GECCO Companion Tome Eftimov, Rok Hribar, Urban Skvorc, Gorjan Popovski, Gasper Petelin, Peter Korosec
2020	—	`conf`	Performance2vec: a step further in explainable stochastic optimization algorithm performance. GECCO Companion Tome Eftimov, Gorjan Popovski, Dragi Kocev, Peter Korosec
2020	—	`conf`	Statistical analyses for meta-heuristic stochastic optimization algorithms: GECCO 2020 tutorial. GECCO Companion Tome Eftimov, Peter Korosec
2020	—	`conf`	Toward Robust Food Ontology Mapping. IEEE BigData Riste Stojanov, Ilija Kocev, Sasho Gramatikov, Gorjan Popovski, Barbara Korousic-Seljak, Tome Eftimov
2020	J	`jnl`	Understanding the problem space in single-objective numerical optimization using exploratory landscape analysis. Appl. Soft Comput. Urban Skvorc, Tome Eftimov, Peter Korosec
2020	—	`conf`	Using exploratory landscape analysis to visualize single-objective problems. GECCO Companion Urban Skvorc, Tome Eftimov, Peter Korosec
2019	J	`jnl`	A Knowledge Graph-based Approach for Exploring the U.S. Opioid Epidemic. CoRR Maulik R. Kamdar, Tymor Hamamsy, Shea Shelton, Ayin Vala, Tome Eftimov, James Zou, Suzanne Tamang
2019	J	`jnl`	A novel statistical approach for comparing meta-heuristic stochastic optimization algorithms according to the distribution of solutions in the search space. Inf. Sci. Tome Eftimov, Peter Korosec
2019	B	`conf`	CEC Real-Parameter Optimization Competitions: Progress from 2013 to 2018. CEC Urban Skvorc, Tome Eftimov, Peter Korosec
2019	—	`conf`	Comparing Different Settings of Parameters Needed for Pre-processing of ECG Signals used for Blood Pressure Classification. BIOSIGNALS Monika Simjanoska, Gregor Papa, Barbara Korousic-Seljak, Tome Eftimov
2019	—	`conf`	Comparing Semantic and Nutrient Value Similarities of Recipes. IEEE BigData Gordana Ispirova, Tome Eftimov, Barbara Korousic-Seljak
2019	—	`conf`	Data-driven Autism Biomarkers Selection by using Signal Processing and Machine Learning Techniques. BIOINFORMATICS Antonio Antovski, Stefani Kostadinovska, Monika Simjanoska, Tome Eftimov, Nevena Ackovska, Ana Madevska Bogdanova
2019	—	`conf`	ECGpp: A Framework for Selecting the Pre-processing Parameters of ECG Signals Used for Blood Pressure Classification. BIOSTEC (Selected Papers) Monika Simjanoska, Gregor Papa, Barbara Korousic-Seljak, Tome Eftimov
2019	—	`conf`	Exploring Dietary Intake Data collected by FPQ using Unsupervised Learning. IEEE BigData Martin Gjoreski, Stefan Kochev, Nina Resçiç, Matej Gregoric, Tome Eftimov, Barbara Korousic-Seljak
2019	—	`conf`	Exploring a standardized language for describing foods using embedding techniques. IEEE BigData Gorjan Popovski, Bibek Paudel, Tome Eftimov, Barbara Korousic-Seljak
2019	—	`conf`	Food Waste Ontology: A Formal Description of Knowledge from the Domain of Food Waste. IEEE BigData Riste Stojanov, Tome Eftimov, Hannah Pinchen, Maria Traka, Paul Finglas, Drago Torkar, Barbara Korousic-Seljak
2019	J	`jnl`	FoodBase corpus: a new resource of annotated food entities. Database J. Biol. Databases Curation Gorjan Popovski, Barbara Korousic-Seljak, Tome Eftimov
2019	C	`conf`	FoodIE: A Rule-based Named-entity Recognition Method for Food Information Extraction. ICPRAM Gorjan Popovski, Stefan Kochev, Barbara Korousic-Seljak, Tome Eftimov
2019	C	`conf`	FoodOntoMap: Linking Food Concepts across Different Food Ontologies. KEOD Gorjan Popovski, Barbara Korousic-Seljak, Tome Eftimov
2019	C	`conf`	FoodOntoMapV2: Food Concepts Normalization Across Food Ontologies. IC3K Gorjan Popovski, Barbara Korousic-Seljak, Tome Eftimov
2019	—	`conf`	GECCO black-box optimization competitions: progress from 2009 to 2018. GECCO (Companion) Urban Skvorc, Tome Eftimov, Peter Korosec
2019	J	`jnl`	Identifying practical significance through statistical comparison of meta-heuristic stochastic optimization algorithms. Appl. Soft Comput. Tome Eftimov, Peter Korosec
2019	—	`conf`	LOCALE: A Rule-based Location Named-entity Recognition Method for Latin Text. HistoInformatics@TPDL Ivona Milanova, Jurij Silc, Miha Serucnik, Tome Eftimov, Hristijan Gjoreski
2019	—	`conf`	Mix and Rank: A Framework for Benchmarking Recommender Systems. IEEE BigData Bibek Paudel, Dragi Kocev, Tome Eftimov
2019	—	`conf`	Performance Measures Fusion for Experimental Comparison of Methods for Multi-label Classification. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering Tome Eftimov, Dragi Kocev
2019	J	`jnl`	Snomed2Vec: Random Walk and Poincaré Embeddings of a Clinical Knowledge Base for Healthcare Analytics. CoRR Khushbu Agarwal, Tome Eftimov, Raghavendra Addanki, Sutanay Choudhury, Suzanne Tamang, Robert Rallo
2019	—	`conf`	Understanding exploration and exploitation powers of meta-heuristic stochastic optimization algorithms through statistical analysis. GECCO (Companion) Tome Eftimov, Peter Korosec
2019	—	`conf`	UsabEU: Online Platform for Translation, Validation and Native Use of Usability Questionnaires with Multilingual User Groups. HCI (11) Bojan Blazica, Tome Eftimov
2018	—	`conf`	Data-Driven Preference-Based Deep Statistical Ranking for Comparing Multi-objective Optimization Algorithms. BIOMA Tome Eftimov, Peter Korosec, Barbara Korousic-Seljak
2018	—	`conf`	Deep statistical comparison of meta-heuristic stochastic optimization algorithms. GECCO (Companion) Tome Eftimov, Peter Korosec, Barbara Korousic-Seljak
2018	C	`conf`	Quisper Ontology Learning from Personalized Dietary Web Services. KEOD Tome Eftimov, Gordana Ispirova, Paul Finglas, Peter Korosec, Barbara Korousic-Seljak
2018	—	`conf`	The RICHFIELDS Framework for Semantic Interoperability of Food Information Across Heterogenous Information Systems. KDIR Tome Eftimov, Gordana Ispirova, Peter Korosec, Barbara Korousic-Seljak
2018	—	`conf`	The impact of statistics for benchmarking in evolutionary computation research. GECCO (Companion) Tome Eftimov, Peter Korosec
2017	J	`jnl`	A Novel Approach to statistical comparison of meta-heuristic stochastic optimization algorithms using deep statistics. Inf. Sci. Tome Eftimov, Peter Korosec, Barbara Korousic-Seljak
2017	—	`conf`	Comparing multi-objective optimization algorithms using an ensemble of quality indicators with deep statistical comparison approach. SSCI Tome Eftimov, Peter Korosec, Barbara Korousic-Seljak
2017	—	`conf`	Deep Statistical Comparison Applied on Quality Indicators to Compare Multi-objective Stochastic Optimization Algorithms. MOD Tome Eftimov, Peter Korosec, Barbara Korousic-Seljak
2017	C	`conf`	Mapping Food Composition Data from Various Data Sources to a Domain-Specific Ontology. KEOD Gordana Ispirova, Tome Eftimov, Barbara Korousic-Seljak, Peter Korosec
2017	C	`conf`	The Behavior of Deep Statistical Comparison Approach for Different Criteria of Comparing Distributions. IJCCI Tome Eftimov, Peter Korosec, Barbara Korousic-Seljak
2016	—	`conf`	Grammar and Dictionary based Named-entity Linking for Knowledge Extraction of Evidence-based Dietary Recommendations. KDIR Tome Eftimov, Barbara Korousic-Seljak, Peter Korosec
2015	J	`jnl`	Finite-SNR Bounds on the Sum-Rate Capacity of Rayleigh Block-Fading Multiple-Access Channels With No A Priori CSI. IEEE Trans. Commun. Rahul Devassy, Giuseppe Durisi, Johan Östman, Wei Yang, Tome Eftimov, Zoran Utkovski
2015	J	`jnl`	Finite-SNR Bounds on the Sum-Rate Capacity of Rayleigh Block-Fading Multiple-Access Channels with no a Priori CSI. CoRR Rahul Devassy, Giuseppe Durisi, Johan Östman, Wei Yang, Tome Eftimov, Zoran Utkovski
2015	—	`conf`	POS Tagging-probability Weighted Method for Matching the Internet Recipe Ingredients with Food Composition Data. KDIR Tome Eftimov, Barbara Korousic-Seljak
2015	J	`jnl`	Random Access Protocols With Collision Resolution in a Noncoherent Setting. IEEE Wirel. Commun. Lett. Zoran Utkovski, Tome Eftimov, Petar Popovski
2014	J	`jnl`	Random Access Protocols with Collision Resolution in a Noncoherent Setting. CoRR Zoran Utkovski, Tome Eftimov, Petar Popovski
2013	—	`conf`	A pre-log region for the non-coherent MIMO two-way relaying channel. EUSIPCO Zoran Utkovski, Tome Eftimov