E-LIB Suche - Ergebnisse für: Huijben, Iris

1

Representations of temporal sleep dynamics: Review and synt..:

Hermans, Lieke WA. ; Huijben, Iris AM. ; van Gorp, Hans...
Sleep Medicine Reviews. 63 (2022) - p. 101611 , 2022

2

Artificial intelligence based cardiotocogram assessment dur..:

Melaet, Raoul ; de Vries, Ivar R. ; Kok, René D....
European Journal of Obstetrics & Gynecology and Reproductive Biology. 295 (2024) - p. 75-85 , 2024

Link: https://doi.org/10.1016/..

3

Dynamic Probabilistic Pruning: A General Framework for Hard..:

Gonzalez-Carabarin, Lizeth ; Huijben, Iris A. M. ; Veeling, Bastian..
IEEE Transactions on Neural Networks and Learning Systems. 35 (2024) 1 - p. 733-744 , 2024

Link: https://doi.org/10.1109/..

4

A Review of the Gumbel-max Trick and its Extensions for Dis..:

Huijben, Iris A. M. ; Kool, Wouter ; Paulus, Max B..
IEEE Transactions on Pattern Analysis and Machine Intelligence. 45 (2023) 2 - p. 1353-1371 , 2023

Link: https://doi.org/10.1109/..

5

Interpretation and further development of the hypnodensity ..:

Huijben, Iris A M ; Hermans, Lieke W A ; Rossi, Alessandro C...
Physiological Measurement. 44 (2023) 1 - p. 015002 , 2023

Link: https://doi.org/10.1088/..

6

Temporal dynamics of awakenings from slow‐wave sleep in non..:

Huijben, Iris A. M. ; van Sloun, Ruud J. G. ; Hoondert, Bertram...
Journal of Sleep Research. 33 (2023) 3 - p. , 2023

Link: https://doi.org/10.1111/..

7

Certainty about Uncertainty in Sleep Staging; a Theoretical..:

van Gorp, Hans ; Huijben, Iris A M ; Fonseca, Pedro...
Sleep. , 2022

Link: https://doi.org/10.1093/..

8

Contrastive Predictive Coding for Anomaly Detection of Feta..:

, In: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),

de Vries, Ivar R. ; Huijben, Iris A. M. ; Kok, Rene D... - p. 3473-3477 , 2022

Link: https://doi.org/10.1109/..

9

Self-Organizing Maps for Contrastive Embeddings of Sleep Re..:

, In: 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC),

Huijben, Iris A.M. ; Nijdam, Arthur A. ; Hermans, Lieke W.A.... - p. 2945-2948 , 2022

Link: https://doi.org/10.1109/..

10

Learning Task-Based Analog-to-Digital Conversion for MIMO R..:

, In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),

Shlezinger, Nir ; van Sloun, Ruud J. G. ; Huijben, Iris A. M... - p. 9125-9129 , 2020

Link: https://doi.org/10.1109/..

11

Learning Sampling and Model-Based Signal Recovery for Compr..:

, In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),

Huijben, Iris A.M. ; Veeling, Bastiaan S. ; van Sloun, Ruud J.G. - p. 8906-8910 , 2020

Link: https://doi.org/10.1109/..

12

Residual Quantization with Implicit Neural Codebooks:

Huijben, Iris ; Douze, Matthijs ; Muckley, Matthew..
http://arxiv.org/abs/2401.14732. , 2024

Link: http://arxiv.org/abs/240..

13

Overfitting for fun and profit: Instance-adaptive data comp..:

van Rozendaal, Ties ; Huijben, Iris ; Cohen, Taco S
van Rozendaal , T , Huijben , I & Cohen , T S 2021 , Overfitting for fun and profit: Instance-adaptive data compression . in Proceedings of the 9th International Conference on Learning Representations, ICLR 2021 . ICLR , 9th International Conference on Learning Representations, ICLR 2021 , 3/05/21 .. , 2021

Link: https://research.tue.nl/..

14

Active Deep Probabilistic Subsampling:

van Gorp, Hans ; Huijben, Iris ; Veeling, Bastiaan..
van Gorp , H , Huijben , I , Veeling , B , Pezzotti , N & van Sloun , R J G 2021 , Active Deep Probabilistic Subsampling . in M Meila & T Zhang (eds) , 38th International Conference on Machine Learning . Proceedings of Machine Learning Research , vol. 139 , PMLR , pp. 10509-10518 , 38th International Conference on Machine Learning (ICML 2021) , 18/07/21 .. , 2021

Link: https://research.tue.nl/..

15

Learning Sampling and Model-Based Signal Recovery for Compr..:

Huijben, Iris ; Veeling, Bastiaan S ; van Sloun, Ruud J.G
Huijben , I , Veeling , B S & van Sloun , R J G 2020 , Learning Sampling and Model-Based Signal Recovery for Compressed Sensing MRI . in 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings . , 9053331 , pp. 8906-8910 , 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2020) , Barcelona , Spain , 4/05/20 . https://doi.org/10.1109/ICASSP40776.2020.9053331. , 2020

Link: https://research.tue.nl/..