Zobrazeno 1 - 10
of 1 917
pro vyhledávání: '"Rietman, A."'
Recurrent Neural Networks (RNNs) have shown great success in modeling time-dependent patterns, but there is limited research on their learned representations of latent temporal features and the emergence of these representations during training. To a
Externí odkaz:
http://arxiv.org/abs/2306.07125
Autor:
Giulia Pozzati, Jinrui Zhou, Hananel Hazan, Giannoula Lakka Klement, Hava T. Siegelmann, Jack A. Tuszynski, Edward A. Rietman
Publikováno v:
Onco, Vol 4, Iss 3, Pp 163-191 (2024)
Whole-genome sequencing has revealed that TP53, NOTCH1, ATM, SF3B1, BIRC3, ABL, NXF1, BCR, and ZAP70 are often mutated in CLL, but not consistently across all CLL patients. This paper employs a statistical thermodynamics approach in combination with
Externí odkaz:
https://doaj.org/article/cbb7a77e2b574368b5b57277c1b9f346
Autor:
Chiara Arienti, PhD, Carlotte Kiekens, MD, Irene Battel, PhD, Claudio Cordani, MSc, Matteo J. Del Furia, MSc, Julia Patrick Engkasan, PhD, Francesca Gimigliano, PhD, Stefano G. Lazzarini, MSc, Sara Liguori, MD, Luca Miranda, MA, Bianca Mosconi, MSc, Stefano Negrini, PhD, Cochrane Rehabilitation Advisory Committee, Pierre Côté, Frane Grubišic, Tracey Howe, Elena Ilieva, William Levack, Thorsten Meyer-Feil, Silvia Minozzi, Aydan Oral, Farooq A. Rathore, Hans Rietman, Geert Verheyden, Mauro Zampolini
Publikováno v:
The Journal of the International Society of Physical and Rehabilitation Medicine, Vol 7, Iss 3, Pp 75-77 (2024)
Throughout 2023, Cochrane Rehabilitation’s primary focus was on the Fifth Cochrane Rehabilitation Methodological Meeting, aiming to improve the current state of evidence in rehabilitation, enhancing comprehension of evidence production and synthesi
Externí odkaz:
https://doaj.org/article/1c0922375dad45f7b1e02944a172bbf1
In artificial neural networks, weights are a static representation of synapses. However, synapses are not static, they have their own interacting dynamics over time. To instill weights with interacting dynamics, we use a model describing synchronizat
Externí odkaz:
http://arxiv.org/abs/2301.04126
We propose a new learning framework, signal propagation (sigprop), for propagating a learning signal and updating neural network parameters via a forward pass, as an alternative to backpropagation. In sigprop, there is only the forward path for infer
Externí odkaz:
http://arxiv.org/abs/2204.01723
Autor:
Imren, C., IJsselstijn, H., Vermeulen, M.J., Wijnen, R.H.M., Rietman, A.B., Keyzer-Dekker, C.M.G.
Publikováno v:
In Journal of Pediatric Surgery November 2024 59(11)
Autor:
Tenniglo, M.J.B., Buurke, J.H., Zeegers, A.V.C.M., Fleuren, J.F.M., Rietman, J.S., Prinsen, E.C.
Publikováno v:
In Gait & Posture October 2024 114:101-107
Autor:
A. R. Müller, B. den Hollander, P. M. van de Ven, K. C. B. Roes, L. Geertjens, H. Bruining, C. D. M. van Karnebeek, F. E. Jansen, M. C. Y. de Wit, L. W. ten Hoopen, A. B. Rietman, B. Dierckx, F. A. Wijburg, E. Boot, M. M. G. Brands, A. M. van Eeghen
Publikováno v:
BMC Psychiatry, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Background Many rare genetic neurodevelopmental disorders (RGNDs) are characterized by intellectual disability (ID), severe cognitive and behavioral impairments, potentially diagnosed as a comorbid autism spectrum disorder or attention-defic
Externí odkaz:
https://doaj.org/article/4f74098acbcb4b4a96235bd2a74ca971
Autor:
Leerskov, Kasper S., Rikhof, Cindy J.H., Spaich, Erika G., Dosen, Strahinja, Prange-Lasonder, Gerdienke B., Prinsen, Erik C., Rietman, Johan S., Struijk, Lotte N.S. Andreasen
Publikováno v:
In Computers in Biology and Medicine September 2024 179
Autor:
Kuiper, L.M., Smit, A.P., Bizzarri, D., van den Akker, E.B., Reinders, M.J.T., Ghanbari, M., van Rooij, J.G.J., Voortman, T., Rivadeneira, F., Dollé, M.E.T., Herber, G.C.M., Rietman, M.L., Picavet, H.S.J., van Meurs, J.B.J., Verschuren, W.M.M.
Publikováno v:
In Mechanisms of Ageing and Development August 2024 220