Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Iris A M Huijben"'
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(2):9729603, 1353-1371. IEEE Computer Society
The Gumbel-max trick is a method to draw a sample from a categorical distribution, given by its unnormalized (log-)probabilities. Over the past years, the machine learning community has proposed several extensions of this trick to facilitate, e.g., d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e57d80e0c33fbad4e44a5dae27024ca
https://doi.org/10.1109/tpami.2022.3157042
https://doi.org/10.1109/tpami.2022.3157042
Autor:
Lizeth Gonzalez-Carabarin, Iris A. M. Huijben, Bastian Veeling, Alexandre Schmid, Ruud J. G. van Sloun
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-12
Unstructured neural network pruning algorithms have achieved impressive compression rates. However, the resulting - typically irregular - sparse matrices hamper efficient hardware implementations, leading to additional memory usage and complex contro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f07659a997a2edfa02ac4fd8237c1a1
https://doi.org/10.1109/tnnls.2022.3176809
https://doi.org/10.1109/tnnls.2022.3176809
Autor:
Iris A M Huijben, Lieke W A Hermans, Alessandro C Rossi, Sebastiaan Overeem, Merel M van Gilst, Ruud J G van Sloun
Publikováno v:
Physiological Measurement, 44(1):015002. Institute of Physics
Objective. The recently-introduced hypnodensity graph provides a probability distribution over sleep stages per data window (i.e. an epoch). This work explored whether this representation reveals continuities that can only be attributed to intra- and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38bda3cd462991f09c7f9a4617bf7edf
https://research.tue.nl/nl/publications/6ca389f3-ab28-418a-ab50-051348282c5e
https://research.tue.nl/nl/publications/6ca389f3-ab28-418a-ab50-051348282c5e
Autor:
Hans van Gorp, Iris A M Huijben, Pedro Fonseca, Ruud J G van Sloun, Sebastiaan Overeem, Merel M van Gilst
Publikováno v:
Sleep, 45(8):zsac134. American Academy of Sleep Medicine
Sleep stage classification is an important tool for the diagnosis of sleep disorders. Because sleep staging has such a high impact on clinical outcome, it is important that it is done reliably. However, it is known that uncertainty exists in both exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b494411b6376799018bb3e4543b904c6
https://research.tue.nl/nl/publications/47da3db0-6331-425a-a52b-25298831c83f
https://research.tue.nl/nl/publications/47da3db0-6331-425a-a52b-25298831c83f
Publikováno v:
2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022-Proceedings, 3473-3477
STARTPAGE=3473;ENDPAGE=3477;TITLE=2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022-Proceedings
STARTPAGE=3473;ENDPAGE=3477;TITLE=2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022-Proceedings
Fetal well-being during labor is currently assessed by medical professionals through visual interpretation of the cardiotocogram (CTG), a simultaneous recording of Fetal Heart Rate (FHR) and Uterine Contractions (UC). This method is disputed due to h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99ec0a3a909afcc63325f603bef3a4ec
http://www.scopus.com/inward/record.url?scp=85131245913&partnerID=8YFLogxK
http://www.scopus.com/inward/record.url?scp=85131245913&partnerID=8YFLogxK