E-LIB Suche - Ergebnisse für: Boubekki, Ahcene

1

Supercm: Revisiting Clustering for Semi-Supervised Learning:

, In: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),

Singh, Durgesh ; Boubekki, Ahcene ; Jenssen, Robert. - p. 1-5 , 2023

2

A Contextually Supported Abnormality Detector for Maritime ..:

Olesen, Kristoffer Vinther ; Boubekki, Ahcène ; Kampffmeyer, Michael C....
Journal of Marine Science and Engineering. 11 (2023) 11 - p. 2085 , 2023

Link: https://doi.org/10.3390/..

3

RELAX: Representation Learning Explainability:

Wickstrøm, Kristoffer K. ; Trosten, Daniel J. ; Løkse, Sigurd...
International Journal of Computer Vision. 131 (2023) 6 - p. 1584-1610 , 2023

Link: https://doi.org/10.1007/..

4

Selective Imputation for Multivariate Time Series Datasets ..:

Blázquez-García, Ane ; Wickstrøm, Kristoffer ; Yu, Shujian...
IEEE Transactions on Knowledge and Data Engineering. 35 (2023) 9 - p. 9490-9501 , 2023

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

5

Clinically Relevant Features for Predicting the Severity of..:

Boubekki, Ahcene ; Myhre, Jonas Nordhaug ; Luppino, Luigi Tommaso...
IEEE Journal of Biomedical and Health Informatics. 26 (2022) 4 - p. 1794-1801 , 2022

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

6

Joint optimization of an autoencoder for clustering and emb..:

Boubekki, Ahcène ; Kampffmeyer, Michael ; Brefeld, Ulf.
Machine Learning. 110 (2021) 7 - p. 1901-1937 , 2021

Link: https://doi.org/10.1007/..

7

Predicting the difficulty of exercise items for dynamic dif..:

Pandarova, Irina ; Schmidt, Torben ; Hartig, Johannes...
International journal of artificial intelligence in education. 29 (2019) 3 - p. 342-367 , 2019

Link: https://doi.org/10.1007/..

8

Predicting the difficulty of exercise items for dynamic dif..:

Pandarova, Irina ; Schmidt, Torben ; Hartig, Johannes...
International journal of artificial intelligence in education. 29 (2019) 3 - p. 342-367 , 2019

Link: https://doi.org/10.1007/..

9

Predicting the Difficulty of Exercise Items for Dynamic Dif..:

Pandarova, Irina ; Schmidt, Torben ; Hartig, Johannes...
International Journal of Artificial Intelligence in Education. 29 (2019) 3 - p. 342-367 , 2019

Link: https://doi.org/10.1007/..

10

Selective Imputation for Multivariate Time Series Datasets ..:

Blazquez-Garcia, Ane ; Wickstrøm, Kristoffer Knutsen ; Yu, Shujian...
Norges forskningsråd: 303514. , 2023

Link: https://hdl.handle.net/1..

11

Prototypical Self-Explainable Models Without Re-training:

Gautam, Srishti ; Boubekki, Ahcene ; Höhne, Marina M. C.
http://arxiv.org/abs/2312.07822. , 2023

Link: http://arxiv.org/abs/231..

12

RELAX: Representation Learning Explainability:

Wickstrøm, Kristoffer ; Trosten, Daniel Johansen ; Løkse, Sigurd Eivindson...
International Journal of Computer Vision. , 2023

Link: https://hdl.handle.net/1..

13

Selective Imputation for Multivariate Time Series Datasets ..:

Blazquez-Garcia, Ane ; Wickstrøm, Kristoffer Knutsen ; Yu, Shujian...
IEEE Transactions on Knowledge and Data Engineering. , 2023

Link: https://hdl.handle.net/1..

14

A Contextually Supported Abnormality Detector for Maritime ..:

Olesen, Kristoffer Vinther ; Boubekki, Ahcène ; Kampffmeyer, Michael C...
https://orbit.dtu.dk/en/publications/9c2db257-30a0-4d5e-a5d4-4fd95092afcf. , 2023

Link: https://orbit.dtu.dk/en/..

15

A Contextually Supported Abnormality Detector for Maritime ..:

Olesen, Kristoffer Vinther ; Boubekki, Ahcene ; Kampffmeyer, Michael Christian...
Journal of Marine Science and Engineering. , 2023

Link: https://hdl.handle.net/1..