Zobrazeno 1 - 10
of 917
pro vyhledávání: '"P. Reijnen"'
Autor:
Smit, Igor G., Zhou, Jianan, Reijnen, Robbert, Wu, Yaoxin, Chen, Jian, Zhang, Cong, Bukhsh, Zaharah, Zhang, Yingqian, Nuijten, Wim
Job shop scheduling problems (JSSPs) represent a critical and challenging class of combinatorial optimization problems. Recent years have witnessed a rapid increase in the application of graph neural networks (GNNs) to solve JSSPs, albeit lacking a s
Externí odkaz:
http://arxiv.org/abs/2406.14096
We introduce an open-source GitHub repository containing comprehensive benchmarks for a wide range of machine scheduling problems, including Job Shop Scheduling (JSP), Flow Shop Scheduling (FSP), Flexible Job Shop Scheduling (FJSP), FJSP with Assembl
Externí odkaz:
http://arxiv.org/abs/2308.12794
Autor:
Zanga, Alessio, Bernasconi, Alice, Lucas, Peter J. F., Pijnenborg, Hanny, Reijnen, Casper, Scutari, Marco, Stella, Fabio
Causal inference for testing clinical hypotheses from observational data presents many difficulties because the underlying data-generating model and the associated causal graph are not usually available. Furthermore, observational data may contain mi
Externí odkaz:
http://arxiv.org/abs/2305.10050
Autor:
Zanga, Alessio, Bernasconi, Alice, Lucas, Peter J. F., Pijnenborg, Hanny, Reijnen, Casper, Scutari, Marco, Stella, Fabio
Assessing the pre-operative risk of lymph node metastases in endometrial cancer patients is a complex and challenging task. In principle, machine learning and deep learning models are flexible and expressive enough to capture the dynamics of clinical
Externí odkaz:
http://arxiv.org/abs/2305.10041
Autor:
Stephanie W. Vrede, Hannah Donkers, Casper Reijnen, Anke Smits, Nicole C.M. Visser, Peggy M. Geomini, Huy Ngo, Dennis van Hamont, Brenda M. Pijlman, Maria Caroline Vos, Marc P.L.M. Snijders, Roy Kruitwagen, Ruud L.M. Bekkers, Khadra Galaal, Johanna M.A. Pijnenborg
Publikováno v:
Journal of Obstetrics and Gynaecology, Vol 44, Iss 1 (2024)
Background In endometrial cancer (EC), preoperative anaemia, thrombocytosis and leucocytosis appear to be associated with worse prognosis. It remains unclear whether these parameters solely reflect tumour aggressiveness, or also impact response to ad
Externí odkaz:
https://doaj.org/article/47c1e1cca20140df8cdf7eeb83eb6baa
Multi-objective evolutionary algorithms (MOEAs) are widely used to solve multi-objective optimization problems. The algorithms rely on setting appropriate parameters to find good solutions. However, this parameter tuning could be very computationally
Externí odkaz:
http://arxiv.org/abs/2211.09719
Publikováno v:
ICAPS 2024
The Adaptive Large Neighborhood Search (ALNS) algorithm has shown considerable success in solving combinatorial optimization problems (COPs). Nonetheless, the performance of ALNS relies on the proper configuration of its selection and acceptance para
Externí odkaz:
http://arxiv.org/abs/2211.00759
Publikováno v:
European Journal of Psychology Open, Vol 83, Iss 2, Pp 71-81 (2024)
Abstract: Introduction and aim: Pictograms can make taking medication safer. However, little is known about how pictograms on a medication package influence the subjective assessment of a medication. Methods: In this online study, 276 participants we
Externí odkaz:
https://doaj.org/article/79f497aaded34c4f9bc211c7aa2e268d
Autor:
Siri L. van der Meijden, Anna M. van Boekel, Laurens J. Schinkelshoek, Harry van Goor, Ewout W. Steyerberg, Rob G.H.H. Nelissen, Dieter Mesotten, Bart F. Geerts, Mark G.J. de Boer, M. Sesmu Arbous, Pieter de Heer, Jaap Hamming, Karin Ellen Veldkamp, Wilco Peul, Rolv-Ole Lindsetmo, Maxime Kummeling, Jogchum Beltman, Merlijn Hutteman, Alma Tostman, Wim Reijnen, Bas Bredie, Ilse Spenkelink, Ben Goethuys, Noëlla Pierlet, Joost Huiskens
Publikováno v:
The Lancet Regional Health. Europe, Vol 49, Iss , Pp 101163- (2025)
Summary: Background: Postoperative infections significantly impact patient outcomes and costs, exacerbated by late diagnoses, yet early reliable predictors are scarce. Existing artificial intelligence (AI) models for postoperative infection predictio
Externí odkaz:
https://doaj.org/article/a5abd8ada85545a0a3a57f0d571367a8
Autor:
Ester Reijnen, Lea Laasner Vogt, Daniele Catarci, Jean L. Zengaffinen, Sabine M. Bremermann-Reiser, Lars Bläuer
Publikováno v:
Frontiers in Psychology, Vol 15 (2024)
Humorous messages (not derogatory jokes) related to obesity seem to be retweeted frequently. Potentially, such humor could be included in viral public health campaigns to combat obesity, but would jokes actually increase the likelihood of purchasing
Externí odkaz:
https://doaj.org/article/87d6bea43a624792a8b2d12de12bf468