Author

Mustafa Misir

2 papers indexed here

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Jul 2026

Graph Neural Network-based Algorithm Selection for the Traveling Salesman Problem: A Systematic Study of Cost and Rank Losses under Distinct Budget Regimes

Automated Algorithm Selection (AS) aims to improve problem-solving performance by selecting, for each problem instance, the most suitable algorithm from a predefined portfolio. This is particularly relevant to the Traveling Salesman Problem (TSP), where solver performance is strongly instance-dependent. We introduce GN...

Zhaoxuan Li, Jiale Yang, Yi-Fei Lu et al. · arXiv.org · 0 citations

#artificial intelligence Preprint Sep 2026

EEG-AS: Instance-Level Foundation Model Selection for EEG Foundation Models via Behavior Reconstruction

Experiments on seven public EEG benchmarks demonstrate that EEG-AS substantially narrows the gap between the Single Best Solver (SBS) and the oracle upper bound for each instance, highlighting the effectiveness of instance-level AS for adaptive deployment of EEG foundation models.

Yunziyu Zhang, Ruo-Xi Piao, H. O. Keleş et al. · 0 citations