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A Benchmark Generator for Combinatorial Testing
Combinatorial Testing (CT) tools are essential to test properly a wide range of systems (train systems, Graphical User Interfaces (GUIs), autonomous driving systems, etc).
Interpretable Decision Trees Through MaxSAT
We present an approach to improve the accuracy-interpretability trade-off of Machine Learning (ML) Decision Trees (DTs).
Learning How to Optimize Black-Box Functions With Extreme Limits on the Number of Function Evaluations
We tune this method for black box optimization and then evaluate on classical black box optimization benchmarks.
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