Classification of Targets and Distractors in an Audiovisual Attention Task Based on Electroencephalography

Autor: Steven Mortier, Renata Turkeš, Jorg De Winne, Wannes Van Ransbeeck, Dick Botteldooren, Paul Devos, Steven Latré, Marc Leman, Tim Verdonck

Publikováno v: Sensors, Vol 23, Iss 23, p 9588 (2023)

Within the broader context of improving interactions between artificial intelligence and humans, the question has arisen regarding whether auditory and rhythmic support could increase attention for visual stimuli that do not stand out clearly from an

Externí odkaz: https://doaj.org/article/55750e22dd3c4d75b77df6a9b5c9a5ef

Noise robustness of persistent homology on greyscale images, across filtrations and signatures.

Autor: Renata Turkeš, Jannes Nys, Tim Verdonck, Steven Latré

Publikováno v: PLoS ONE, Vol 16, Iss 9, p e0257215 (2021)

Topological data analysis is a recent and fast growing field that approaches the analysis of datasets using techniques from (algebraic) topology. Its main tool, persistent homology (PH), has seen a notable increase in applications in the last decade.

Externí odkaz: https://doaj.org/article/bf20c915b55b4b1882e644bda6954ef5

Design of experiments in humanitarian logistics: facility decision making in disaster preparedness

Autor: Renata Turkeš, Kenneth Sörensen, Daniel Palhazi Cuervo

Publikováno v: International transactions in operational research

Facility planning is one of the critical decisions faced by humanitarian managers. Some managerial implications have been offered in the literature, but these are commonly derived from simple sensitivity analyses on individual instance characteristic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b39594a95c97126f0e23d98e5118d761
https://doi.org/10.1111/itor.13142

Meta-analysis of metaheuristics : quantifying the effect of adaptiveness in adaptive large neighborhood search

Autor: Kenneth Sörensen, Renata Turkeš, Lars Magnus Hvattum

Publikováno v: European journal of operational research

Research on metaheuristics has focused on (novel) algorithmic development and on competitive testing, both of which have been frequently argued to yield little generalizable knowledge. The main goal of this paper is to promote meta-analysis - a syste

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86eff8c88f1df6a3a3456c157aa357a8

Data for a meta-analysis of the adaptive layer in adaptive large neighborhood search

Autor: Anders Nordby Gullhav, Richard Martin Lusby, Kenneth Sörensen, Marcela Monroy-Licht, Alexander Kiefer, Axel Grimault, Eva Barrena, Iman Dayarian, Merve Keskin, Alberto Santini, Cagatay Iris, Lars Magnus Hvattum, Hayet Chentli, Sophie N. Parragh, Renata Turkeš, Juan-Pablo Riquelme-Rodríguez, Geraldo Regis Mauri, Vinicius Gandra Martins Santos, Charles Thomas, Leandro C. Coelho

Publikováno v: Data in Brief
Data in brief
Turkeš, R, Sörensen, K, Hvattum, L M, Barrena, E, Chentli, H, Coelho, L C, Dayarian, I, Grimault, A, Gullhav, A N, Iris, Ç, Keskin, M, Kiefer, A, Lusby, R M, Mauri, G R, Monroy-Licht, M, Parragh, S N, Riquelme-Rodríguez, J-P, Santini, A, Santos, V G M & Thomas, C 2020, ' Data for a meta-analysis of the adaptive layer in adaptive large neighborhood search ', Data in Brief, vol. 33, 106568 . https://doi.org/10.1016/j.dib.2020.106568
December
Data in Brief, Vol 33, Iss, Pp 106568-(2020)

Meta-analysis, a systematic statistical examination that combines the results of several independent studies, has the potential of obtaining problem- and implementation-independent knowledge and understanding of metaheuristic algorithms, but has not

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e338151197e21765750331d450ee76c
https://repository.uantwerpen.be/docstore/d:irua:3523