no code implementations • 31 May 2023 • Jacobus G. M. van der Linden, Mathijs M. de Weerdt, Emir Demirović
However, many of the methods used rely on general-purpose solvers for which scalability remains an issue.
1 code implementation • 15 Sep 2020 • Emir Demirović, Peter J. Stuckey
Nonlinear metrics, such as the F1-score, Matthews correlation coefficient, and Fowlkes-Mallows index, are often used to evaluate the performance of machine learning models, in particular, when facing imbalanced datasets that contain more samples of one class than the other.
1 code implementation • 24 Jul 2020 • Emir Demirović, Anna Lukina, Emmanuel Hebrard, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Peter J. Stuckey
Heuristic methods are traditionally used to quickly produce models with reasonably high accuracy.
1 code implementation • 22 Nov 2019 • Jaynta Mandi, Emir Demirović, Peter J. Stuckey, Tias Guns
Recently, Smart Predict and Optimize (SPO) has been proposed for problems with a linear objective function over the predictions, more specifically linear programming problems.