Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Abdul-Saboor Sheikh"'
Autor:
Chiyun Lee, Junxia Lin, Andrzej Prokop, Vancheswaran Gopalakrishnan, Richard N. Hanna, Eliseo Papa, Adrian Freeman, Saleha Patel, Wen Yu, Monika Huhn, Abdul-Saboor Sheikh, Keith Tan, Bret R. Sellman, Taylor Cohen, Jonathan Mangion, Faisal M. Khan, Yuriy Gusev, Khader Shameer
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
Target prioritization is essential for drug discovery and repositioning. Applying computational methods to analyze and process multi-omics data to find new drug targets is a practical approach for achieving this. Despite an increasing number of metho
Externí odkaz:
https://doaj.org/article/e8f1ad335c164cdfb704fd8b0dec38dc
Autor:
Abdul-Saboor Sheikh, Nicol S Harper, Jakob Drefs, Yosef Singer, Zhenwen Dai, Richard E Turner, Jörg Lücke
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 1, p e1006595 (2019)
We investigate how the neural processing in auditory cortex is shaped by the statistics of natural sounds. Hypothesising that auditory cortex (A1) represents the structural primitives out of which sounds are composed, we employ a statistical model to
Externí odkaz:
https://doaj.org/article/58116d95478d4a71890f0d749735f013
Publikováno v:
PLoS ONE, Vol 10, Iss 5, p e0124088 (2015)
Sparse coding is a popular approach to model natural images but has faced two main challenges: modelling low-level image components (such as edge-like structures and their occlusions) and modelling varying pixel intensities. Traditionally, images are
Externí odkaz:
https://doaj.org/article/f0fd739bef8b46bd8aaa68110adbfe03
Publikováno v:
Neural Computation. 30:2113-2174
We explore classifier training for data sets with very few labels. We investigate this task using a neural network for nonnegative data. The network is derived from a hierarchical normalized Poisson mixture model with one observed and two hidden laye
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c06651f472b93fe862037088d5fb7b58
https://doi.org/10.1162/neco_a_01100
https://doi.org/10.1162/neco_a_01100
Autor:
Urs Bergmann, Romain Guigourès, Yuen King Ho, Abdul-Saboor Sheikh, Reza Shirvany, Roland Vollgraf, Evgenii Koriagin
Publikováno v:
RecSys
Personalized size and fit recommendations bear crucial significance for any fashion e-commerce platform. Predicting the correct fit drives customer satisfaction and benefits the business by reducing costs incurred due to size-related returns. Traditi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6dc13c91eb261143c29ee862ac1edc5
https://doi.org/10.1145/3298689.3347006
https://doi.org/10.1145/3298689.3347006
Autor:
Romain Guigourès, Reza Shirvany, Evgenii Koriagin, Yuen King Ho, Abdul-Saboor Sheikh, Urs Bergmann
Publikováno v:
RecSys
We introduce a hierarchical Bayesian approach to tackle the challenging problem of size recommendation in e-commerce fashion. Our approach jointly models a size purchased by a customer, and its possible return event: 1. no return, 2. returned too sma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::578f25930f552c5ada5e80428df86537
Publikováno v:
PLoS ONE
PLoS ONE, Vol 10, Iss 5, p e0124088 (2015)
PLoS ONE, Vol 10, Iss 5, p e0124088 (2015)
Sparse coding is a popular approach to model natural images but has faced two main challenges: modelling low-level image components (such as edge-like structures and their occlusions) and modelling varying pixel intensities. Traditionally, images are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53695e07cc9f3df0b7358f88df046d12
https://pubmed.ncbi.nlm.nih.gov/25954947
https://pubmed.ncbi.nlm.nih.gov/25954947
Autor:
Abdul-Saboor Sheikh, Jörg Lücke
Publikováno v:
Latent Variable Analysis and Signal Separation ISBN: 9783642285509
LVA/ICA
LVA/ICA
We define and discuss a novel sparse coding algorithm based on closed-form EM updates and continuous latent variables. The underlying generative model consists of a standard ‘spike-and-slab' prior and a Gaussian noise model. Closed-form solutions f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1645f0c7c8635f86d6c1a08534eca2bf
https://doi.org/10.1007/978-3-642-28551-6_27
https://doi.org/10.1007/978-3-642-28551-6_27
Autor:
Amr Ahmed, William W. Cohen, Luis Pedro Coelho, Abdul-Saboor Sheikh, Andrew Arnold, Eric P. Xing, Robert F. Murphy, Joshua D. Kangas
The SLIF project combines text-mining and image processing to extract structured information from biomedical literature. SLIF extracts images and their captions from published papers. The captions are automatically parsed for relevant biological enti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b35118b40776ec04afcff836d85e202
https://europepmc.org/articles/PMC4075770/
https://europepmc.org/articles/PMC4075770/