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Gjorgjina Cenikj
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Gjorgjina Cenikj,
Building A, Floor 2, Room S6a
+386 1 477 3616
gjorgjina.cenikj@ijs.si
About
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Academic
Research
Publications
Journal articles
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Beyond Landscape Analysis: DynamoRep Features For Capturing Algorithm-Problem Interaction In Single-Objective Continuous Optimization Evolutionary Computation
Landscape Features in Single-Objective Continuous Optimization: Have We Hit a Wall in Algorithm Selection Generalization?
TinyTLA: Topological landscape analysis for optimization problem classification in a limited sample setting
A Cross-Benchmark Examination of Feature-based Algorithm Selector Generalization in Single-Objective Numerical Optimization
Towards understanding the importance of time-series features in automated algorithm performance prediction
FooDis: A food-disease relation mining pipeline
Less is more: Selecting the right benchmarking set of data for time series classification
CafeteriaFCD corpus: Food consumption data annotated with regard to different food semantic resources
CafeteriaSA corpus: Scientific abstracts annotated across different food semantic resources
A Fine-Tuned Bidirectional Encoder Representations From Transformers for Food Named-Entity Recognition: Algorithm Development and Validation
Conference papers
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ClustOpt: A Clustering-based Approach for Representing and Visualizing the Search Dynamics of Numerical Optimization Algorithms
A cross-benchmark examination of feature-based algorithm selector generalization in single-objective numerical optimization
Comparing Optimization Algorithms Through the Lens of Search Behavior Analysis
Impact of Scaling in ELA Feature Calculation on Algorithm Selection Cross-Benchmark Transferability
Generalization Ability of Feature-based Performance Prediction Models: A Statistical Analysis across Benchmarks
TransOptAS: Transformer-Based Algorithm Selection for Single-Objective Optimization
Assessing the Generalizability of a Performance Predictive Model
DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization
How Far Out of Distribution Can We Go With ELA Features and Still Be Able to Rank Algorithms?
SELECTOR: Selecting a Representative Benchmark Suite for Reproducible Statistical Comparison
Identifying minimal set of Exploratory Landscape Analysis features for reliable algorithm performance prediction
Improving Nevergrad’s Algorithm Selection Wizard NGOpt Through Automated Algorithm Configuration
TLA: Topological Landscape Analysis for Single-Objective Continuous Optimization Problem Instances
SAFFRON: tranSfer leArning For Food-Disease RelatiOn extractioN
FoodChem: A food-chemical relation extraction model
BuTTER: BidirecTional LSTM for FoodNamed-Entity Recognition
Books & Chapters
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Neurosymbolic Methods for Food Computing
Explainable Landscape Analysis
Projects
Research
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Leveraging Benchmarking Data for Automated Machine Learning and Optimization
Refined estimation of environmental exposure in vulnerable population groups and its biological and health impact
Artificial Intelligence for Science
Exploring Scientific Literature to Predict Interactions between Food, Diseases, and Drugs using Knowledge Graphs
Auto-OPT: Automated selection and configuration of single-objective continuous optimization algorithms
Representation Learning of Landscape Spaces for Explainable Performance of Stochastic Optimization Algorithms
Automated Configuration, Selection, and Design of Iterative Optimization Heuristics
Fair Benchmarking for Dynamic Algorithm Configuration
Food Nutrition Security Cloud
ExtraCting and Annotating Food NamEd EnTitiEs fRom ScIentific LiterAture
Applied
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