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 recent
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
Explainable Model-specific Algorithm Selection for Multi-Label Classification, IEEE SSCI 2022
TLA: Topological Landscape Analysis for Single-Objective Continuous Optimization Problem Instances, IEEE SSCI 2022
Explaining Differential Evolution Performance Through Problem Landscape Characteristics, BIOMA2022
Improving Nevergrad’s Algorithm Selection Wizard NGOpt Through Automated Algorithm Configuration, PPSN 2022
Per-Run Algorithm Selection with Warm-starting Using Trajectory-based Features, PPSN 2022
Identifying minimal set of Exploratory Landscape Analysis features for reliable algorithm performance prediction, IEEE CEC at IEEE WCCI 2022
Trajectory-based Algorithm Selection with Warm-starting, IEEE CEC at IEEE WCCI 2022
A Comprehensive Analysis of the Invariance of Exploratory Landscape Analysis Features to Function Transformations, IEEE CEC at IEEE WCCI 2022
The Importance of Landscape Features for Performance Prediction of Modular CMA-ES Variants, GECCO 2022
SELECTOR: Selecting a Representative Benchmark Suite for Reproducible Statistical Comparison, GECCO 2022
Explainable Landscape Analysis in Automated Algorithm Performance Prediction, EvoAPPS 2022
Multimodal Analysis of User-Recipes Interactions, HEALTHINF 2022
FoodChem: A food-chemical relation extraction model, IEEE SSCI 2021
Explainable Landscape-Aware Optimization Performance Prediction, IEEE SSCI 2021
Robust Benchmarking for Multi-Objective Optimization, GECCO 2021
The Effect of Sampling Methods on the Invariance to Function Transforms when using Exploratory Landscape Analysis, IEEE CEC 2021
Reducing Bias in Multi-Objective Optimization Benchmarking, HOP at GECCO 2021
SAFFRON: tranSfer leArning For Food-Disease RelatiOn extractioN, BioNLP @ NAACL 2021
OPTION: OPTmization Algorithm Benchmarking ONtology, GECCO 2021
A Complementarity Analysis of the COCO Benchmark Problems and Artificially Generated Problems, GECCO 2021
The Impact of Hyper-Parameter Tuning for Landscape-Aware Performance Regression and Algorithm Selection, GECCO 2021
Personalizing Performance Regression Models to Black-Box Optimization Problems, GECCO 2021
Towards Feature-Based Performance Regression Using Trajectory Data, EvoAPPS-EvoStar 2021
Finding Potential Inhibitors of COVID-19, BIOINFORMATICS 2021
On Statistical Analysis of MOEAs with Multiple Performance Indicators, EMO2021
APRICOT: A humAn-comPuteR InteraCtion tool for linking foOd wasTe streams across different semantic resources, BFNDMA2020 at IEEE BigData 2020
Comparison of Feature Selection Algorithms for Minimization of Target Specific FFQs, BFNDMA2020 at IEEE BigData 2020
Toward Robust Food Ontology Mapping, BFNDMA2020 at IEEE BigData 2020
Exploring Knowledge Domain Bias on a Prediction Task for Food and Nutrition Data, BFNDMA2020 at IEEE BigData 2020
BuTTER: BidirecTional LSTM for FoodNamed-Entity Recognition, BFNDMA2020 at IEEE BigData 2020
Ontology alignment using Named-Entity Recognition methods in the domain of food, IS 2020
An Insight into Food Semantics: Review, Analysis, and Lessons Learnt over Food-related Studies, ICBO 2020
Using Exploratory Landscape Analysis to Visualize Single-objective Problems, GECCO 2020
In-depth Insights into Swarm Intelligence Algorithms, MDIS 2020
FoodViz: Visualization of Food Entities Linked Across Different Standards, LOD 2020
Linear Matrix Factorization Embeddings for Single-objective Optimization Landscape Space, IEEE SSCI 2020
Deep Statistics: More Robust Performance Statistics for Single-objective Optimization Benchmarking, GECCO 2020
performViz: A Machine Learning Approach to Visualize and Understand the Performance of Single-objective Optimization Algorithms, GECCO 2020
Performance2vec: A step further in explainable stochastic optimization algorithms performance, GECCO 2020
Is the statistical significance between evolutionary algorithms performance also significant in practice?, GECCO 2020
Food Data Integration by Using Heuristics based on Lexical and Semantic Similarities, HEALTHINF 2020
A Novel Approach for Modelling the Relationship between Blood Pressure and ECG by Using Time-series Feature Extraction, BIOSIGNALS 2020
Exploring Dietary Intake Data collected by FPQ using Unsupervised Learning, BFNDMA 2019 at IEEE BigData 2019
Food Waste Ontology: A Formal Description of Knowledge from the Domain of Food Waste, BFNDMA 2019 at IEEE BigData 2019
Comparing Semantic and Nutrient Value Similarities of Recipes, BFNDMA 2019 at IEEE BigData 2019
Extracting patient-reported functional status and disease activity information from electronic health records, TextXD 2019
A pilot method linking greenhouse gas emission databases to the FoodEx2 classification, LEAP 2019
Exploring a standardized language for describing foods using embedding techniques, BFNDMA 2019 at IEEE BigData 2019
Mix and Rank: A Framework for Benchmarking Recommender Systems, BPOD 2019 at IEEE BigData 2019
LOCALE: A rule-based location named-entity recognition method for Latin text, HistoInformatics 2019
Snomed2Vec: Random Walk and Poincaré Embeddings of a Clinical Knowledge Base for Healthcare Analytics, KDD 2019
A Knowledge Graph-based Approach for Exploring the U.S. Opioid Epidemic, ICLR 2019
Understanding Exploration and Exploitation Powers of Meta-heuristic Stochastic Optimization Algorithms through Statistical Analysis, GECCO 2019
FoodOntoMap: Linking Food Concepts across different Food Ontologies, KEOD 2019
GECCO Black-Box Optimization Competitions: Progress from 2009 to 2018, GECCO 2019
CEC Real-Parameter Optimization Competitions: Progress from 2013 to 2018, CEC 2019
UsabEU: online platform for translation, validation and native use of usability questionnaires with multilingual user groups, HCII 2019
FoodIE: a rule-based named-entity recognition for food information extraction, ICPRAM 2019
Data-driven Autism Biomarkers Selection by using Signal Processing and Machine Learning Techniques, BIOINFORMATICS 2019
Comparing different settings of parameters needed for pre-processing of ECG signals used for blood pressure classification, BIOSIGNALS 2019
Performance measures fusion for experimental comparison of methods for multi-label classification, AAAI-MAKE 2019
A semi - automatic approach for borrowing missing nutrient values in food composition databases, IPSSC 2018
The RICHFIELDS Framework for Semantic Interoperability of Food Information across Heterogeneous Information Systems, KDIR 2018
Quisper Ontology Learning from Personalized Dietary Web Services, KEOD 2018
Deep Statistical Comparison of Meta-heuristic Stochastic Optimization Algorithms, GECCO 2018
The Impact of Statistics for Benchmarking in Evolutionary Computation Research, GECCO 2018
Analysis of Medical and Health-Related Data about Adult Obesity using Supervised and Unsupervised Learning, CIIT 2018
Overview of Creativity Assessment Framework for a Computer Program, CIIT 2018
Comparing Multi-Objective Optimization Algorithms Using an Ensemble of Quality Indicators with Deep Statistical Comparison Approach, IEEE SSCI 2017
Synergy of Natural Language Processing and Statistics to Explore Food- and Nutrition-related Data and Knowledge, ECML-PKDD 2017
Mapping Food Composition Data from Various Data Sources to a Domain-Specific Ontology, KEOD 2017
The Behavior of Deep statistical Comparison Approach for Different Criteria of Comparing Distributions, IJCCI 2017
A semi-automatic system for classifying and describing foods according to FoodEX2, 3rdIMEKOFOODS
Knowledge extraction of evidence - based dietary recommendations, IPSSC 2016
Disadvantages of Statistical Comparisons of Stochastic Optimization Algorithms, BIOMA 2016
Grammar and dictionary based named- Entity Linking for knowledge extraction of evidence-based dietary recommendations, IC3K (KDIR 2016)
POS tagging-probability weighted method for matching the Internet recipe ingredients with food composition data, IC3K (KDIR 2015)
Ingredients matching in bakery products, SiKDD 2015
Mutual Information of Unitary Isotropically Distributed Inputs in the Non-coherent MAC, ISIT 2013
A pre-log region for the non-coherent MIMO twoway relaying channel, EUSIPCO 2013
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
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)