Tome Eftimov
Journal articlesshow all
User-Defined Trade-Offs in LLM Benchmarking: Balancing Accuracy, Scale, and Sustainability, KBS (2025)Exploring Module Interactions in Modular CMA-ES across Problem Classes , SWARM EVOL COMPUT (2025)
Applicability Assessment of Technologies for Predictive and Prescriptive Analytics of Nephrology Big Data, PROTEOMICS (2025)
Comprehensive Benchmarking of Knowledge Graph Embeddings Methods for Android Malware Detection, EXPERT SYST APPL (2025)
A Learning Search Algorithm for the Restricted Longest Common Subsequence Problem, EXPERT SYST APPL (2025)
Landscape Features in Single-Objective Continuous Optimization: Have We Hit a Wall in Algorithm Selection Generalization?, SWARM EVOL COMPUT (2025)
Benchmarking Footprints of Continuous Black-Box Optimization Algorithms: Explainable Insights into Algorithm Success and Failure, SWARM EVOL COMPUT (2025)
Beyond Landscape Analysis: DynamoRep Features For Capturing Algorithm-Problem Interaction In Single-Objective Continuous Optimization Evolutionary Computation, ECJ (2025)
IsoFoodTrack: A Comprehensive Database and Management System Based on Stable Isotope Ratio Analysis for Combating Food Fraud, Frontiers in Nutrition (2025)
Zero-shot evaluation of ChatGPT for food named-entity recognition and linking, Frontiers in Nutrition (2024)
Using Machine Learning Methods to Assess Module Performance Contribution in Modular Optimization Frameworks, ECJ (2024)
Opt2Vec - A continuous optimization problem representation based on the algorithm: a case study on problem classification, INFORM SCIENCES (2024)
A Cross-Benchmark Examination of Feature-based Algorithm Selector Generalization in Single-Objective Numerical Optimization, SWARM EVOL COMPUT (2024)
NutriGreen image dataset: a collection of annotated nutrition, organic, and vegan food products, Frontiers in Nutrition (2024)
TinyTLA: Topological landscape analysis for optimization problem classification in a limited sample setting, SWARM EVOL COMPUT (2024)
MsGEN: Measuring Generalization of Nutrient Value Prediction across Different Recipe Datasets, ESWA (2024)
FooDis: A food-disease relation mining pipeline, Artificial intelligence in Medicine (2023)
From Language Models to Large-scale Food and Biomedical Knowledge Graphs, SCI REP-UK (2023)
OPTION: OPTImization Algorithm Benchmarking ONtology, IEEE TECV (2023)
Towards understanding the importance of time-series features in automated algorithm performance prediction, ESWA (2023)
Conference papersshow all
Quantifying Module Interactions in the PSO-X Framework, AutoML 2025FoodSEM: Large Language Model Specialized in Food Named-Entity Linking, DS 2025
Aligning Food Ingredients with Multiple Semantic Resources, ICT Innovations 2024
Geometric Learning in Black-Box Optimization: A GNN Framework for Algorithm Performance Prediction, GECCO 2025
Comparing Optimization Algorithms Through the Lens of Search Behavior Analysis, GECCO 2025
Customized Exploration of Landscape Features Driving Multi-Objective Combinatorial Optimization Performance, GECCO 2025
Adaptive Estimation of the Number of Algorithm Runs in Stochastic Optimization, GECCO 2025
A cross-benchmark examination of feature-based algorithm selector generalization in single-objective numerical optimization, IEEE CEC 2025
ClustOpt: A Clustering-based Approach for Representing and Visualizing the Search Dynamics of Numerical Optimization Algorithms, IEEE CEC 2025
Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes, IEEE CEC 2025
Efficient Search Algorithms for the Restricted Longest Common Subsequence Problem, ICCS 2024
TransOptAS: Transformer-Based Algorithm Selection for Single-Objective Optimization, GECCO 2024
Per-Run Algorithm Performance Improvement Forecasting Using Exploratory Landscape Analysis Features: A Case Study in Single-Objective Black-Box Optimization, GECCO 2024
Comparing Solvability Patterns of Algorithms across Diverse Problem Landscapes, GECCO 2024
Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization, GECCO 2024
Quantifying Individual and Joint Module Impact in Modular Optimization Frameworks, IEEE CEC 2024
Generalization Ability of Feature-based Performance Prediction Models: A Statistical Analysis across Benchmarks, IEEE CEC 2024
Impact of Scaling in ELA Feature Calculation on Algorithm Selection Cross-Benchmark Transferability, IEEE CEC 2024
Analyzing the Generalizability of Automated Algorithm Selection: A Case Study for Numerical Optimization, IEEE SSCI 2023
Enhancing Food Composition Databases: Predicting Missing Values via Knowledge Graph Embeddings, SIKDD
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization, AutoML 2023
Sensitivity Analysis of RF+clust for Leave-one-problem-out Performance Prediction, IEEE CEC 2023
DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems, GECCO 2023
Comparing Algorithm Selection Approaches on Black-Box Optimization Problems, GECCO 2023
Assessing the Generalizability of a Performance Predictive Model, GECCO 2023
Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances, GECCO 2023
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms, EvoApps 2023
RF+clust for Leave-One-Problem-Out Performance Prediction, EvoApps 2023
Books & Chaptersshow all
Explainable Landscape Analysis, Explainable AI for Evolutionary Computation, Nature Computing Series, Springer Singapore (2025)Neurosymbolic Methods for Food Computing, Volume 400: Handbook on Neurosymbolic AI and Knowledge Graphs, Frontiers in Artificial Intelligence and Applications (2025)
Other publicationsshow recent
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)
Some random matrix results with application to the multiple access channel (2013)
Mutual Information of Isotropically Distributed Unitary Signals on Block Rayleigh-faded Multiple Access Channels (2013)