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2025
Comprehensive Benchmarking of Knowledge Graph Embeddings Methods for Android Malware Detection
Expert Systems with Applications
2025
A Learning Search Algorithm for the Restricted Longest Common Subsequence Problem
Expert Systems With Applications
2025
Dealing with zero-inflated data: Achieving state-of-the-art with a two-fold machine learning approach
Engineering Applications of Artificial Intelligence
2025
Advanced computing to support urban climate neutrality
Energy, Sustainability and Society
2025
Landscape Features in Single-Objective Continuous Optimization: Have We Hit a Wall in Algorithm Selection Generalization?
Swarm and Evolutionary Computation
2025
Benchmarking Footprints of Continuous Black-Box Optimization Algorithms: Explainable Insights into Algorithm Success and Failure
Swarm and Evolutionary Computation
2025
Aligning Food Ingredients with Multiple Semantic Resources
ICT Innovations 2024
2025
Geometric Learning in Black-Box Optimization: A GNN Framework for Algorithm Performance Prediction
The Genetic and Evolutionary Computation Conference
2025
Comparing Optimization Algorithms Through the Lens of Search Behavior Analysis
The Genetic and Evolutionary Computation Conference
2025
Customized Exploration of Landscape Features Driving Multi-Objective Combinatorial Optimization Performance
The Genetic and Evolutionary Computation Conference
2025
Adaptive Estimation of the Number of Algorithm Runs in Stochastic Optimization
The Genetic and Evolutionary Computation Conference
2025
A cross-benchmark examination of feature-based algorithm selector generalization in single-objective numerical optimization
2025 IEEE Congress on on Evolutionary Computation (J2C)
2025
ClustOpt: A Clustering-based Approach for Representing and Visualizing the Search Dynamics of Numerical Optimization Algorithms
2025 IEEE Congress on Evolutionary Computation
2025
Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes
2025 IEEE Congress on Evolutionary Computation
2025
A Study on Optimistic and Pessimistic Pareto-Fronts in Multiobjective Bilevel Optimization via δ-Perturbation
Evolutionary Multi-Criterion Optimization
2025
Explainable Landscape Analysis
Explainable AI for Evolutionary Computation
2025
Neurosymbolic Methods for Food Computing
Volume 400: Handbook on Neurosymbolic AI and Knowledge Graphs
2024
δ-perturbation of bilevel optimization problems: An error bound analysis
Operations Research Perspectives
2024
Zero-shot evaluation of ChatGPT for food named-entity recognition and linking
Frontiers in Nutrition
2024
2024
A Cross-Benchmark Examination of Feature-based Algorithm Selector Generalization in Single-Objective Numerical Optimization
Swarm and Evolutionary Computation
2024
2024
Mobiprox: Supporting Dynamic Approximate Computing On Mobiles
IEEE Internet of Things Journal
2024
TinyTLA: Topological landscape analysis for optimization problem classification in a limited sample setting
Swarm and Evolutionary Computation
2024
MsGEN: Measuring Generalization of Nutrient Value Prediction across Different Recipe Datasets
Expert Systems with Applications
2024
Traffic Forecasting With Uncertainty: A Case for Conformalized Quantile Regression
European Congress on Computational Methods in Applied Sciences and Engineering
2024
Fleet and Traffic Management Systems for Conducting Future Cooperative Mobility
European Congress on Computational Methods in Applied Sciences and Engineering
2024
Fleet and traffic management systems for conducting future cooperative mobility
Transport Research Arena
2024
Efficient Search Algorithms for the Restricted Longest Common Subsequence Problem
International Conference on Computational Science
2024
TransOptAS: Transformer-Based Algorithm Selection for Single-Objective Optimization
The Genetic and Evolutionary Computation Conference
2024
Per-Run Algorithm Performance Improvement Forecasting Using Exploratory Landscape Analysis Features: A Case Study in Single-Objective Black-Box Optimization
The Genetic and Evolutionary Computation Conference
2024
Comparing Solvability Patterns of Algorithms across Diverse Problem Landscapes
The Genetic and Evolutionary Computation Conference
2024
Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization
The Genetic and Evolutionary Computation Conference
2024
Quantifying Individual and Joint Module Impact in Modular Optimization Frameworks
IEEE Congress on Evolutionary Computation
2024
Generalization Ability of Feature-based Performance Prediction Models: A Statistical Analysis across Benchmarks
IEEE Congress on Evolutionary Computation
2024
Impact of Scaling in ELA Feature Calculation on Algorithm Selection Cross-Benchmark Transferability
IEEE Congress on Evolutionary Computation
2024
A Framework for Applying Data-Driven AI/ML Models in Reliability
Recent Advances in Microelectronics Reliability
2024
Reliability Improvements for In-Wheel Motor
Recent Advances in Microelectronics Reliability
2023
Models for forecasting the traffic flow within the city of Ljubljana
European Transport Research Review
2023
FooDis: A food-disease relation mining pipeline
Artificial intelligence in Medicine
2023
From Language Models to Large-scale Food and Biomedical Knowledge Graphs
Scientific Reports
2023
OPTION: OPTImization Algorithm Benchmarking ONtology
IEEE Transactions on Evolutionary Computation
2023
Towards understanding the importance of time-series features in automated algorithm performance prediction
Expert Systems with Applications
2023
2023
An evolutionary approach to pessimistic bilevel optimization problems
International Conference on Bilevel Optimization
2023
Analyzing the Generalizability of Automated Algorithm Selection: A Case Study for Numerical Optimization
2023 IEEE Symposium Series on Computational Intelligence
2023
How Far Out of Distribution Can We Go With ELA Features and Still Be Able to Rank Algorithms?
2023 IEEE Symposium Series on Computational Intelligence
2023
Towards Deploying Highly Quantized Neural Networks on FPGA Using Chisel
2023 26th Euromicro Conference on Digital System Design (DSD)
2023
Enhancing Food Composition Databases: Predicting Missing Values via Knowledge Graph Embeddings
The 2023 KDD Undergraduate Consortium (KDD-UC), 2023
2023
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization
Proceedings of Machine Learning Research (PMLR)
2023
Sensitivity Analysis of RF+clust for Leave-one-problem-out Performance Prediction
IEEE Congress on Evolutionary Computation
2023
DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems
The Genetic and Evolutionary Computation Conference
2023
Comparing Algorithm Selection Approaches on Black-Box Optimization Problems
The Genetic and Evolutionary Computation Conference
2023
Assessing the Generalizability of a Performance Predictive Model
The Genetic and Evolutionary Computation Conference
2023
Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances
The Genetic and Evolutionary Computation Conference
2023
A Configurable Mixed-Precision Convolution Processing Unit Generator in Chisel
26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems
2022
Dietary, comorbidity, and geo-economic data fusion for explainable COVID-19 mortality prediction
Expert Systems with Applications
2022
Missing value imputation in Food Composition Data with Denoising Autoencoders
Journal of Food Composition and Analysis
2022
Electric-bus routes in hilly urban areas: overview and challenges
Renewable and Sustainable Energy Reviews
2022
2022
Less is more: Selecting the right benchmarking set of data for time series classification
Expert Systems with Applications
2022
Four algorithms to solve symmetric multi-type non-negative matrix tri-factorization problem
Journal of Global Optimization
2022
Evaluation of Parallel Hierarchical Differential Evolution for Min-Max Optimization Problems Using SciPy
Bioinspired Optimization Methods and Their Applications
2022
Hardware Acceleration of the YOLO Convolutional Neural Network on a Field-Programmable Gate Array
57th International Conference on Microelectronics, Devices and Materials
2022
On Suitability of the Customized Measuring Device for Electric Motor
48th Annual Conference of the IEEE Industrial Electronics Society
2022
Real‐world Applications of Dynamic Parameter Control in Evolutionary Computation - tutorial
Parallel problem solving from nature
2022
Explainable Model-specific Algorithm Selection for Multi-Label Classification
2022 IEEE Symposium Series on Computational Intelligence
2022
TLA: Topological Landscape Analysis for Single-Objective Continuous Optimization Problem Instances
2022 IEEE Symposium Series on Computational Intelligence
2022
Explaining Differential Evolution Performance Through Problem Landscape Characteristics
The 10th International Conference on Bioinspired Optimization Methods and Their Applications
2022
Dynamic Computational Resource Allocation for CFD Simulations Based on Pareto Front Optimization
Genetic and Evolutionary Computation Conference
2022
Improving Nevergrad’s Algorithm Selection Wizard NGOpt Through Automated Algorithm Configuration
The Seventeenth International Conference on Parallel Problem Solving from Nature
2022
Per-Run Algorithm Selection with Warm-starting Using Trajectory-based Features
The Seventeenth International Conference on Parallel Problem Solving from Nature
2022
Identifying minimal set of Exploratory Landscape Analysis features for reliable algorithm performance prediction
2022 IEEE Congress on Evolutionary Computation
2022
Trajectory-based Algorithm Selection with Warm-starting
2022 IEEE Congress on Evolutionary Computation
2022
A Comprehensive Analysis of the Invariance of Exploratory Landscape Analysis Features to Function Transformations
2022 IEEE Congress on Evolutionary Computation
2022
The Importance of Landscape Features for Performance Prediction of Modular CMA-ES Variants
The Genetic and Evolutionary Computation Conference
2022
SELECTOR: Selecting a Representative Benchmark Suite for Reproducible Statistical Comparison
The Genetic and Evolutionary Computation Conference
2022
Explainable Landscape Analysis in Automated Algorithm Performance Prediction
EvoApplications 2022
2022
Multimodal Analysis of User-Recipes Interactions
13th International Conference on Health Informatics
2022
Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms
Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms