Search Results for author: Kenneth Sörensen

Found 5 papers, 1 papers with code

The privacy issue of counterfactual explanations: explanation linkage attacks

no code implementations21 Oct 2022 Sofie Goethals, Kenneth Sörensen, David Martens

Black-box machine learning models are being used in more and more high-stakes domains, which creates a growing need for Explainable AI (XAI).

counterfactual Explainable Artificial Intelligence (XAI)

Metaheuristics "In the Large"

no code implementations19 Nov 2020 Jerry Swan, Steven Adriaensen, Alexander E. I. Brownlee, Kevin Hammond, Colin G. Johnson, Ahmed Kheiri, Faustyna Krawiec, J. J. Merelo, Leandro L. Minku, Ender Özcan, Gisele L. Pappa, Pablo García-Sánchez, Kenneth Sörensen, Stefan Voß, Markus Wagner, David R. White

We describe our vision and report on progress, showing how the adoption of common protocols for all metaheuristics can help liberate the potential of the field, easing the exploration of the design space of metaheuristics.

An enhanced simulation-based iterated local search metaheuristic for gravity fed water distribution network design optimization

no code implementations2 Sep 2020 Willian C. S. Martinho, Rafael A. Melo, Kenneth Sörensen

The gravity fed water distribution network design (WDND) optimization problem consists in determining the pipe diameters of a water network such that hydraulic constraints are satisfied and the total cost is minimized.

PILS: Exploring high-order neighborhoods by pattern mining and injection

1 code implementation24 Dec 2019 Florian Arnold, Ítalo Santana, Kenneth Sörensen, Thibaut Vidal

During the local search, each pattern is used to define one move in which 1) incompatible edges are disconnected, 2) the edges defined by the pattern are reconnected, and 3) the remaining solution fragments are optimally reconnected.

Vocal Bursts Intensity Prediction

Dance Hit Song Prediction

no code implementations17 May 2019 Dorien herremans, David Martens, Kenneth Sörensen

Record companies invest billions of dollars in new talent around the globe each year.

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