Fosfomycin susceptibility of uropathogens at Charlotte Maxeke Johannesburg Academic Hospital

Autor: Lesego M. Mothibi, Norma N. Bosman, Trusha Nana

Publikováno v: Southern African Journal of Infectious Diseases, Vol 35, Iss 1, Pp e1-e8 (2020)

Background: Multidrug-resistant uropathogens are becoming widespread both in community and hospital setting. Safe yet effective treatments are a priority. Fosfomycin is an antibacterial that displays good activity against most bacteria causing urinar

Externí odkaz: https://doaj.org/article/8927808d3ef944b1a81fb0b79c6301b2

Multi-objective learning using HV maximization

Autor: Timo M. Deist, Monika Grewal, Frank J. W. M. Dankers, Tanja Alderliesten, Peter A. N. Bosman

Publikováno v: Lecture Notes in Computer Science ISBN: 9783031272493

Real-world problems are often multi-objective, with decision-makers unable to specify a priori which trade-off between the conflicting objectives is preferable. Intuitively, building machine learning solutions in such cases would entail providing mul

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48789af5607f1389b9c117ddf1ba03bf
https://doi.org/10.1007/978-3-031-27250-9_8

Gene-pool Optimal Mixing in Cartesian Genetic Programming

Autor: Joe Harrison, Tanja Alderliesten, Peter A. N. Bosman

Publikováno v: Lecture Notes in Computer Science ISBN: 9783031147203

Genetic Programming (GP) can make an important contribution to explainable artificial intelligence because it can create symbolic expressions as machine learning models. Nevertheless, to be explainable, the expressions must not become too large. This

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ef798c9fc9dbb4ebd9136f58b972d40
https://ir.cwi.nl/pub/32125

Interactive Education on Sleep Hygiene with a Social Robot at a Pediatric Oncology Outpatient Clinic:Feasibility, Experiences, and Preliminary Effectiveness

Autor: Kelly L. A. van Bindsbergen, Hinke van der Hoek, Marloes van Gorp, Mike E. U. Ligthart, Koen V. Hindriks, Mark A. Neerincx, Tanja Alderliesten, Peter A. N. Bosman, Johannes H. M. Merks, Martha A. Grootenhuis, Raphaële R. L. van Litsenburg

Publikováno v: van Bindsbergen, K L A, van der Hoek, H, van Gorp, M, Ligthart, M E U, Hindriks, K V, Neerincx, M A, Alderliesten, T, Bosman, P A N, Merks, J H M, Grootenhuis, M A & van Litsenburg, R R L 2022, ' Interactive Education on Sleep Hygiene with a Social Robot at a Pediatric Oncology Outpatient Clinic : Feasibility, Experiences, and Preliminary Effectiveness ', Cancers, vol. 14, no. 15, 3792 . https://doi.org/10.3390/cancers14153792
Cancers, 14(15):3792. MDPI Multidisciplinary Digital Publishing Institute
Cancers; Volume 14; Issue 15; Pages: 3792
Cancers, 14(15)
Cancers, 14(15):3792, 1-13. MDPI Multidisciplinary Digital Publishing Institute
Cancers, 14(15):3792. Multidisciplinary Digital Publishing Institute (MDPI)
van Bindsbergen, K L A, van der Hoek, H, van Gorp, M, Ligthart, M E U, Hindriks, K V, Neerincx, M A, Alderliesten, T, Bosman, P A N, Merks, J H M, Grootenhuis, M A & van Litsenburg, R R L 2022, ' Interactive Education on Sleep Hygiene with a Social Robot at a Pediatric Oncology Outpatient Clinic: Feasibility, Experiences, and Preliminary Effectiveness ', Cancers, vol. 14, no. 15, 3792, pp. 1-13 . https://doi.org/10.3390/cancers14153792
Cancers, 14(15), 3792. MDPI

Objectives: Children with cancer often experience sleep problems, which are associated with many negative physical and psychological health outcomes, as well as with a lower quality of life. Therefore, interventions are strongly required to improve s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::323886b899a37fd5e3e237c3b9b06896
https://research.vumc.nl/en/publications/a525e1fa-f6bc-441d-a996-6c99b42313fc

Evolutionary Machine Learning for Multi-Objective Class Solutions in Medical Deformable Image Registration

Autor: Kleopatra Pirpinia, Peter A. N. Bosman, Jan-Jakob Sonke, Marcel van Herk, Tanja Alderliesten

Publikováno v: Algorithms, Vol 12, Iss 5, p 99 (2019)

Current state-of-the-art medical deformable image registration (DIR) methods optimize a weighted sum of key objectives of interest. Having a pre-determined weight combination that leads to high-quality results for any instance of a specific DIR probl

Externí odkaz: https://doaj.org/article/6c2aa88f4a804f8398f32424dadeb4b0