Tome Eftimov



Journal articlesshow all

A Survey of Features Used for Representing Black-box Single-Objective Continuous Optimization, SWARM EVOL COMPUT (2026)
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)

 

Conference papersshow all

Evaluation of LLMs in retrieving food and nutritional context for RAG systems, The IEEE BigData 2025
Beyond Fine-Tuning: Robust Food Entity Linking under Ontology Drift with FoodOntoRAG, IEEE BigData 2025
Fusing Semantic, Lexical, and Domain Perspectives for Recipe Similarity Estimation, IEEE BigData 2025
Quantifying Module Interactions in the PSO-X Framework, AutoML 2025
FoodSEM: 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

 

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 all