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2026
2026
Large Language Models in Food and Nutrition Science: Opportunities, Challenges, and the Case of FoodyLLM
Current Research in Food Science
2026
A Survey of Features Used for Representing Black-box Single-Objective Continuous Optimization
Swarm and Evolutionary Computation
2026
An Interdisciplinary Approach for Training, Evaluating and Monitoring CCAM Remote Operators
International Conference on Identification, Information and Knowledge in the Internet of Things
2026
Evaluating Real-World Generalizability of Algorithm Selection Models
Genetic and Evolutionary Computation Conference Companion
2026
Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization
Genetic and Evolutionary Computation Conference Companion
2026
Design Choices That Matter: A Functional ANOVA Analysis for Remote Sensing Multi-Label Classification
29th International Conference on Discovery Science
2026
Unsupervised Multi-kernel Learning for Automated Algorithm Selection
Parallel Problem Solving From Nature
2026
2026
Graph Instance Landscapes: When Structural Similarity Does (Not) Reflect Shortest-Path Performance
IEEE Congress on Evolutionary Computation (CEC)
2026
On the Structural (Dis)Agreement of Landscape Representations in Black-Box Optimization
IEEE Congress on Evolutionary Computation (CEC)
2026
Artificial Intelligence in Food, Nutrition, and Health
Encyclopedia of Food, Nutrition and Health, 2nd Edition
2025
User-Defined Trade-Offs in LLM Benchmarking: Balancing Accuracy, Scale, and Sustainability
Knowledge-Based Systems
2025
Exploring Module Interactions in Modular CMA-ES across Problem Classes
Swarm and Evolutionary Computation
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
Evaluation of LLMs in retrieving food and nutritional context for RAG systems
The 13th IEEE International Conference on Big Data
2025
Beyond Fine-Tuning: Robust Food Entity Linking under Ontology Drift with FoodOntoRAG
The 13th IEEE International Conference on Big Data
2025
Fusing Semantic, Lexical, and Domain Perspectives for Recipe Similarity Estimation
The 13th IEEE International Conference on Big Data
2025
Quantifying Module Interactions in the PSO-X Framework
AutoML 2025 Non-Archival Content
2025
FoodSEM: Large Language Model Specialized in Food Named-Entity Linking
28th International Conference on Discovery Science 2025
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