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Elidan, Gal
47  Ergebnisse:
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1

A neural encoder for earthquake rate forecasting:

Zlydenko, Oleg ; Elidan, Gal ; Hassidim, Avinatan...
Scientific Reports.  13 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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2

Flood forecasting with machine learning models in an operat..:

Nevo, Sella ; Morin, Efrat ; Gerzi Rosenthal, Adi...
Hydrology and Earth System Sciences.  26 (2022)  15 - p. 4013-4032 , 2022
Link: https://doi.org/10.5194/..
 
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3

Explaining in Style: Training a GAN to explain a classifier..:

, In: 2021 IEEE/CVF International Conference on Computer Vision (ICCV),
Lang, Oran ; Gandelsman, Yossi ; Yarom, Michal... - p. 673-682 , 2021
Link: https://doi.org/10.1109/..
 
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4

Dynamic Composition for Conversational Domain Exploration:

, In: Proceedings of The Web Conference 2020,
Szpektor, Idan ; Cohen, Deborah ; Elidan, Gal... - p. 872-883 , 2020
Link: https://dl.acm.org/doi/1..
 
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5

Robust multitask Elliptical Regression (ROMER):

, In: 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP),
Noy, Nofar ; Wald, Yaav ; Elidan, Gal. - p. 261-265 , 2019
Link: https://doi.org/10.1109/..
 
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6

Selection of Sparse Vine Copulas in Ultra High Dimensions:

Müller, Dominik Thomas , 2017
Link: http://nbn-resolving.de/..
 
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7

Vocal Folds Analysis Using Global Energy Tracking:

Elidan, Gal ; Elidan, Josef
Journal of Voice.  26 (2012)  6 - p. 760-768 , 2012
Link: https://doi.org/10.1016/..
 
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8

Shape-Based Object Localization for Descriptive Classificat..:

Heitz, Geremy ; Elidan, Gal ; Packer, Benjamin.
International Journal of Computer Vision.  84 (2009)  1 - p. 40-62 , 2009
Link: https://doi.org/10.1007/..
 
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9

Markov random field based automatic image alignment for ele..:

Amat, Fernando ; Moussavi, Farshid ; Comolli, Luis R....
Journal of Structural Biology.  161 (2008)  3 - p. 260-275 , 2008
Link: https://doi.org/10.1016/..
 
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10

Multi-Class Segmentation with Relative Location Prior:

Gould, Stephen ; Rodgers, Jim ; Cohen, David..
International Journal of Computer Vision.  80 (2008)  3 - p. 300-316 , 2008
Link: https://doi.org/10.1007/..
 
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11

"Ideal Parent" structure learning for continuous variable n..:

, In: Proceedings of the 20th conference on Uncertainty in artificial intelligence,
Nachman, Iftach ; Elidan, Gal ; Friedman, Nir - p. 400-409 , 2004
Link: https://dl.acm.org/doi/1..
 
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12

Modeling dependencies in protein-DNA binding sites:

, In: Proceedings of the seventh annual international conference on Research in computational molecular biology,
Barash, Yoseph ; Elidan, Gal ; Friedman, Nir. - p. 28-37 , 2003
Link: https://dl.acm.org/doi/1..
 
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13

Data perturbation for escaping local maxima in learning:

, In: Eighteenth national conference on Artificial intelligence,
Elidan, Gal ; Ninio, Matan ; Friedman, Nir. - p. 132-139 , 2002
Link: https://dl.acm.org/doi/1..
 
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14

Inferring subnetworks from perturbed expression profiles:

Pe'er, Dana ; Regev, Aviv ; Elidan, Gal.
Bioinformatics.  17 (2001)  suppl_1 - p. S215-S224 , 2001
Link: https://doi.org/10.1093/..
 
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15

A neural encoder for earthquake rate forecasting:

Zlydenko, Oleg ; Elidan, Gal ; Hassidim, Avinatan...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10390553/.  , 2023
Link: http://www.ncbi.nlm.nih...
 
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