Zobrazeno 1 - 10
of 4 603
pro vyhledávání: '"A. Sprangers"'
Existing hierarchical forecasting techniques scale poorly when the number of time series increases. We propose to learn a coherent forecast for millions of time series with a single bottom-level forecast model by using a sparse loss function that dir
Externí odkaz:
http://arxiv.org/abs/2310.12809
Autor:
Enrico Hupfeld, Sandra Schlee, Jan Philip Wurm, Chitra Rajendran, Dariia Yehorova, Eva Vos, Dinesh Ravindra Raju, Shina Caroline Lynn Kamerlin, Remco Sprangers, Reinhard Sterner
Publikováno v:
JACS Au, Vol 4, Iss 8, Pp 3258-3276 (2024)
Externí odkaz:
https://doaj.org/article/d93e4f16987b4d8c80cb7c4b1b0c6508
Autor:
Hamada AbdElgawad, Katrien Sprangers, Sofie Thys, Isabel Pintelon, Bart Cuypers, Mohamed A. El-Tayeb, Clifford Weil, Kris Laukens, Gerrit T.S. Beemster
Publikováno v:
Current Plant Biology, Vol 40, Iss , Pp 100409- (2024)
Plant growth is ultimately driven by cell division and expansion, but how these processes are regulated to mediate a wide range of genotypic variation in organ size is still poorly understood. To address this, we screened an EMS maize mutant populati
Externí odkaz:
https://doaj.org/article/553e527782ae43c1b98bd317c99e073d
Publikováno v:
SIAM Journal on Mathematics of Data Science 5(4), pp. 829--853, 2023
Invariance has recently proven to be a powerful inductive bias in machine learning models. One such class of predictive or generative models are tensor networks. We introduce a new numerical algorithm to construct a basis of tensors that are invarian
Externí odkaz:
http://arxiv.org/abs/2206.15051
Autor:
AbdElgawad, Hamada, Sprangers, Katrien, Thys, Sofie, Pintelon, Isabel, Cuypers, Bart, El-Tayeb, Mohamed A., Weil, Clifford, Laukens, Kris, Beemster, Gerrit T.S.
Publikováno v:
In Current Plant Biology December 2024 40
Publikováno v:
In International Journal of Forecasting October-December 2024 40(4):1689-1700
Probabilistic time series forecasting is crucial in many application domains such as retail, ecommerce, finance, or biology. With the increasing availability of large volumes of data, a number of neural architectures have been proposed for this probl
Externí odkaz:
http://arxiv.org/abs/2112.02905
Autor:
Rovin, Brad H., Ronco, Pierre M., Wetzels, Jack F.M., Adler, Sharon G., Ayoub, Isabelle, Zaoui, Philippe, Han, Seung Hyeok, Dudani, Jaideep S., Gilbert, Houston N., Patel, Uptal D., Manser, Paul T., Jauch-Lembach, Julia, Faulhaber, Nicola, Boxhammer, Rainer, Härtle, Stefan, Sprangers, Ben
Publikováno v:
In Kidney International Reports September 2024 9(9):2635-2647
Autor:
Yvonne Weeseman, Michael Scherer‐Rath, Nirav Christophe, Henny Dörr, Esther Helmich, Mirjam A. G. Sprangers, Niels vanPoecke, Hanneke W. M. vanLaarhoven
Publikováno v:
Cancer Medicine, Vol 13, Iss 7, Pp n/a-n/a (2024)
Abstract Purpose Co‐creation, characterised by artists and patients creating a joint work of art, may support patients with the integration of life events, such as living with cancer, into their life story. In the process of co‐creation, resonanc
Externí odkaz:
https://doaj.org/article/f9f6eddc2ef74a1e8376f241da71db4d
Autor:
Yvonne Weeseman, Michael Scherer-Rath, Nirav Christophe, Henny Dörr, Esther Helmich, Mirjam A. G. Sprangers, Niels van Poecke, Hanneke W. M. van Laarhoven
Publikováno v:
BMC Palliative Care, Vol 22, Iss 1, Pp 1-15 (2023)
Abstract Background Co-creation, characterized by artists and patients creating a joint work of art, may support patients with the integration of disruptive life events into their life story, such as living with cancer. Focusing on experiences of con
Externí odkaz:
https://doaj.org/article/4c281e920bfd4e3dbcf86a497d73d83f