E-LIB Suche - Ergebnisse für: Gançarski, Pierre

1

Learning domain invariant representations of heterogeneous ..:

Obrenović, Mihailo ; Lampert, Thomas ; Ivanović, Miloš.
Machine Learning. 112 (2023) 10 - p. 3659-3684 , 2023

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

2

Constrained-HIDA: Heterogeneous Image Domain Adaptation Gui..:

, In: Machine Learning and Knowledge Discovery in Databases: Research Track; Lecture Notes in Computer Science,

Obrenović, Mihailo ; Lampert, Thomas ; Ivanović, Miloš. - p. 443-458 , 2023

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

3

Constrained DTW preserving shapelets for explainable time-s..:

El Amouri, Hussein ; Lampert, Thomas ; Gançarski, Pierre.
Pattern Recognition. 143 (2023) - p. 109804 , 2023

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

4

CDPS: Constrained DTW-Preserving Shapelets:

, In: Machine Learning and Knowledge Discovery in Databases; Lecture Notes in Computer Science,

Amouri, Hussein El ; Lampert, Thomas ; Gançarski, Pierre. - p. 21-37 , 2023

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

5

Resolution methods for constraint satisfaction problem in r..:

Ayadi, Zouhayra ; Boulila, Wadii ; Farah, Imed Riadh..
Ecological Informatics. 69 (2022) - p. 101607 , 2022

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

6

Towards Measuring Domain Shift in Histopathological Stain T..:

, In: 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI),

Nisar, Zeeshan ; Vasiljevic, Jelica ; Gancarski, Pierre. - p. 1-5 , 2022

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

7

Incremental constrained clustering with application to remo..:

, In: 2022 IEEE International Conference on Data Mining Workshops (ICDMW),

Lafabregue, Baptiste ; Gancarski, Pierre ; Weber, Jonathan. - p. 814-823 , 2022

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

8

Comparing the physico-chemistry dynamics of running waters ..:

Grac, Corinne ; Braud, Agnès ; Gançarski, Pierre..
Ecological Informatics. 72 (2022) - p. 101921 , 2022

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

9

End-to-end deep representation learning for time series clu..:

Lafabregue, Baptiste ; Weber, Jonathan ; Gançarski, Pierre.
Data Mining and Knowledge Discovery. 36 (2021) 1 - p. 29-81 , 2021

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

10

Supervised quality evaluation of binary partition trees for..:

Randrianasoa, Jimmy Francky ; Cettour-Janet, Pierre ; Kurtz, Camille...
Pattern Recognition. 111 (2021) - p. 107667 , 2021

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

11

Dynamic allocation optimization in A/B tests using classifi..:

Claeys, Emmanuelle ; Gancarski, Pierre ; Maumy-Bertrand, Myriam.
IEEE Transactions on Knowledge and Data Engineering. , 2021

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

12

Archetypes of delay: An analysis of online developer conver..:

Salaou, Abdoul-Djawadou ; Damian, Daniela ; Lassenius, Casper..
Information and Software Technology. 129 (2021) - p. 106435 , 2021

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

13

Mining frequent approximate patterns in large networks:

Driss, Kaouthar ; Boulila, Wadii ; Leborgne, Aurélie.
International Journal of Imaging Systems and Technology. 31 (2020) 3 - p. 1265-1279 , 2020

Link: https://doi.org/10.1002/..

14

Constrained Clustering: Current and New Trends:

, In: A Guided Tour of Artificial Intelligence Research,

Gançarski, Pierre ; Dao, Thi-Bich-Hanh ; Crémilleux, Bruno.. - p. 447-484 , 2020

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

15

Constrained Distance based K-Means Clustering for Satellite..:

, In: IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium,

Lampert, Thomas ; Lafabregue, Baptiste ; Gancarski, Pierre - p. 2419-2422 , 2019

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