E-LIB Suche - Ergebnisse für: Aghazadeh, Amirali

1

Efficiently Computing Sparse Fourier Transforms of q-ary Fu..:

, In: 2023 IEEE International Symposium on Information Theory (ISIT),

Erginbas, Yigit Efe ; Kang, Justin ; Aghazadeh, Amirali. - p. 513-518 , 2023

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

2

Current progress and open challenges for applying deep lear..:

Sapoval, Nicolae ; Aghazadeh, Amirali ; Nute, Michael G....
Nature Communications. 13 (2022) 1 - p. , 2022

Link: https://doi.org/10.1038/..

3

Epistatic Net allows the sparse spectral regularization of ..:

Aghazadeh, Amirali ; Nisonoff, Hunter ; Ocal, Orhan...
Nature Communications. 12 (2021) 1 - p. , 2021

Link: https://doi.org/10.1038/..

4

Anomalous nanoparticle surface diffusion in LCTEM is reveal..:

Jamali, Vida ; Hargus, Cory ; Ben-Moshe, Assaf...
Proceedings of the National Academy of Sciences. 118 (2021) 10 - p. , 2021

Link: https://doi.org/10.1073/..

5

On the sparsity of fitness functions and implications for l..:

Brookes, David H. ; Aghazadeh, Amirali ; Listgarten, Jennifer
Proceedings of the National Academy of Sciences. 119 (2021) 1 - p. , 2021

Link: https://doi.org/10.1073/..

6

CRISPRL and: Interpretable large-scale inference of DNA rep..:

Aghazadeh, Amirali ; Ocal, Orhan ; Ramchandran, Kannan
Bioinformatics. 36 (2020) Supplement_1 - p. i560-i568 , 2020

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

7

Data-driven semi-supervised and supervised learning algorit..:

Sen, Debarshi ; Aghazadeh, Amirali ; Mousavi, Ali...
Mechanical Systems and Signal Processing. 131 (2019) - p. 524-537 , 2019

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

8

Large dataset enables prediction of repair after CRISPR–Cas..:

Leenay, Ryan T. ; Aghazadeh, Amirali ; Hiatt, Joseph...
Nature Biotechnology. 37 (2019) 9 - p. 1034-1037 , 2019

Link: https://doi.org/10.1038/..

9

Sparsity-based approaches for damage detection in plates:

Sen, Debarshi ; Aghazadeh, Amirali ; Mousavi, Ali..
Mechanical Systems and Signal Processing. 117 (2019) - p. 333-346 , 2019

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

10

Insense: Incoherent sensor selection for sparse signals:

Aghazadeh, Amirali ; Golbabaee, Mohammad ; Lan, Andrew.
Signal Processing. 150 (2018) - p. 57-65 , 2018

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

11

ProtiGeno: a prokaryotic short gene finder using protein la..:

Tu, Tony ; Krishna, Gautham ; Aghazadeh, Amirali
http://arxiv.org/abs/2307.10343. , 2023

Link: http://arxiv.org/abs/230..

12

Efficiently Computing Sparse Fourier Transforms of $q$-ary ..:

Erginbas, Yigit Efe ; Kang, Justin Singh ; Aghazadeh, Amirali.
http://arxiv.org/abs/2301.06200. , 2023

Link: http://arxiv.org/abs/230..

13

Current progress and open challenges for applying deep lear..:

Sapoval, Nicolae ; Aghazadeh, Amirali ; Nute, Michael G...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976012/. , 2022

Link: http://www.ncbi.nlm.nih...

14

Spectral Regularization Allows Data-frugal Learning over Co..:

Aghazadeh, Amirali ; Rajaraman, Nived ; Tu, Tony.
http://arxiv.org/abs/2210.02604. , 2022

Link: http://arxiv.org/abs/221..

15

Current progress and open challenges for applying deep lear..:

Sapoval, Nicolae ; Aghazadeh, Amirali ; Nute, Michael G...
Sapoval, Nicolae, Aghazadeh, Amirali, Nute, Michael G., et al. "Current progress and open challenges for applying deep learning across the biosciences." Nature Communications, 13, (2022) Springer Nature: https://doi.org/10.1038/s41467-022-29268-7.. , 2022

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