E-LIB Suche - Ergebnisse für: Esmaeili, Ashkan

1

Low-Rank and Sparse Decomposition for Low-Query Decision-Ba..:

Esmaeili, Ashkan ; Edraki, Marzieh ; Rahnavard, Nazanin..
IEEE Transactions on Information Forensics and Security. 19 (2024) - p. 1561-1575 , 2024

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

2

Testing the Impact of Phone Texting Reminders for Children'..:

Ngah, Yayah Emerencia ; Raoufi, Ghazal ; Amirkhani, Maral...
JMIR Research Protocols. 12 (2023) - p. e47018 , 2023

Link: https://doi.org/10.2196/..

3

RODD: A Self-Supervised Approach for Robust Out-of-Distribu..:

, In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW),

Khalid, Umar ; Esmaeili, Ashkan ; Karim, Nazmul. - p. 163-170 , 2022

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

4

CNLL: A Semi-supervised Approach For Continual Noisy Label ..:

, In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW),

Karim, Nazmul ; Khalid, Umar ; Esmaeili, Ashkan. - p. 3877-3887 , 2022

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

5

Spectrum Pursuit With Residual Descent for Column Subset Se..:

Vahidian, Saeed ; Joneidi, Mohsen ; Esmaeili, Ashkan...
IEEE Access. 10 (2022) - p. 88164-88177 , 2022

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

6

Select to Better Learn: Fast and Accurate Deep Learning Usi..:

, In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),

Joneidi, Mohsen ; Vahidian, Saeed ; Esmaeili, Ashkan... - p. 7816-7826 , 2020

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

7

Transductive multi-label learning from missing data using s..:

Esmaeili, Ashkan ; Behdin, Kayhan ; Fakharian, Mohammad Amin.
Pattern Analysis and Applications. 23 (2020) 3 - p. 1225-1233 , 2020

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

8

Iterative null space projection method with adaptive thresh..:

Esmaeili, Ashkan ; Asadi Kangarshahi, Ehsan ; Marvasti, Farokh
IET Signal Processing. 12 (2018) 5 - p. 605-612 , 2018

Link: https://doi.org/10.1049/..

9

CNLL: A Semi-supervised Approach For Continual Noisy Label ..:

Karim, Nazmul ; Khalid, Umar ; Esmaeili, Ashkan.
http://arxiv.org/abs/2204.09881. , 2022

Link: http://arxiv.org/abs/220..

10

RODD: A Self-Supervised Approach for Robust Out-of-Distribu..:

Khalid, Umar ; Esmaeili, Ashkan ; Karim, Nazmul.
http://arxiv.org/abs/2204.02553. , 2022

Link: http://arxiv.org/abs/220..

11

LSDAT: Low-Rank and Sparse Decomposition for Decision-based..:

Esmaeili, Ashkan ; Edraki, Marzieh ; Rahnavard, Nazanin..
http://arxiv.org/abs/2103.10787. , 2021

Link: http://arxiv.org/abs/210..

12

Generative Model Adversarial Training for Deep Compressed S..:

Esmaeili, Ashkan
http://arxiv.org/abs/2106.10696. , 2021

Link: http://arxiv.org/abs/210..

13

Two-way Spectrum Pursuit for CUR Decomposition and Its Appl..:

Esmaeili, Ashkan ; Joneidi, Mohsen ; Salimitari, Mehrdad..
http://arxiv.org/abs/2106.06983. , 2021

Link: http://arxiv.org/abs/210..

14

A Novel Approach to Sparse Inverse Covariance Estimation Us..:

Esmaeili, Ashkan ; Marvasti, Farokh
http://arxiv.org/abs/1811.06773. , 2018

Link: http://arxiv.org/abs/181..

15

Recovering Quantized Data with Missing Information Using Bi..:

Esmaeili, Ashkan ; Behdin, Kayhan ; Al-E-Mohammad, Sina.
http://arxiv.org/abs/1810.03222. , 2018

Link: http://arxiv.org/abs/181..