Results 141 to 150 of about 3,434,319 (342)

A refined lion optimizer for deep learning

Scientific Reports
Optimization algorithms play a fundamental role in training neural networks. The optimizer focuses on the updating weights of momentum and velocity on learning rates and losses, furthermore the complexity of the optimizer and the quantity of updated ...
Jian Rong, Chenhao Ma, Qinghui Zhang, Yong Cao, Weili Kou   +4 more
doaj   +1 more source

''BIG HOOP'' AND ''LITTLE HOOP'': TWO ''PETER T. HOOPER'' ROUTINES FOR CHECKING THE DATA BREAK ON A PDP-8.

, 1967
B. W. Rust, W.R. Burrus
openalex   +2 more sources

Inhibitor of DNA binding‐1 is a key regulator of cancer cell vasculogenic mimicry

Molecular Oncology, EarlyView.
Elevated expression of transcriptional regulator inhibitor of DNA binding 1 (ID1) promoted cancer cell‐mediated vasculogenic mimicry (VM) through regulation of pro‐angiogenic and pro‐cancerous genes (e.g. VE‐cadherin (CDH5), TIE2, MMP9, DKK1). Higher ID1 expression also increased metastases to the lung and the liver.
Emma J. Thompson, Emma L. Dorward, Kristyn Jurrius, Nathalie Nataren, Markus Tondl, Kay K. Myo Min, Michaelia P. Cockshell, Anahita Fouladzadeh, John Toubia, Mark DeNichilo, Delphine Merino, Claudine S. Bonder   +11 more
wiley   +1 more source

Siamese network with squeeze-attention for incomplete multi-view multi-label classification

Complex & Intelligent Systems
Multi-view multi-label classification (MvMLC) has garnered significant interest because of its ability to handle complex datasets. However, the inherent complexity of real-world data often results in incomplete views and missing labels, which limit the ...
Mengqing Wang, Jiarui Chen, Lian Zhao, Yinghao Ye, Xiaohuan Lu   +4 more
doaj   +1 more source

Big data: Distilling meaning from data [PDF]

, 2008
Felice Frankel, Rosalind Reid
openalex   +1 more source

MET and NF2 alterations confer primary and early resistance to first‐line alectinib treatment in ALK‐positive non‐small‐cell lung cancer

Molecular Oncology, EarlyView.
Alectinib resistance in ALK+ NSCLC depends on treatment sequence and EML4‐ALK variants. Variant 1 exhibited off‐target resistance after first‐line treatment, while variant 3 and later lines favored on‐target mutations. Early resistance involved off‐target alterations, like MET and NF2, while on‐target mutations emerged with prolonged therapy.
Jie Hu, Ning Ding, Xiaobo Xu, Yedan Chen, Yong Zhang, Jingwen Liu, Jiebai Zhou, Hairong Bao, Donghui Zhang, Yijun Song, Yang Shao, Yuanlin Song   +11 more
wiley   +1 more source

A Proposed Method of Eliminating Urban Effects from Climatological Data Obtained at Stations in Big Cities

, 1979
Yukio OMOTO, Ken Hamotani
openalex   +2 more sources

Big data: Data wrangling [PDF]

, 2008
David B. Goldston
openalex   +1 more source

Big Data, a Big Mistake? [PDF]

European Journal of Vascular and Endovascular Surgery, 2019
Anne Lejay, Nabil Chakfe
openaire   +3 more sources

Chemoresistome mapping in individual breast cancer patients unravels diversity in dynamic transcriptional adaptation

Molecular Oncology, EarlyView.
This study used longitudinal transcriptomics and gene‐pattern classification to uncover patient‐specific mechanisms of chemotherapy resistance in breast cancer. Findings reveal preexisting drug‐tolerant states in primary tumors and diverse gene rewiring patterns across patients, converging on a few dysregulated functional modules. Despite receiving the
Maya Dadiani, Gilgi Friedlander, Gili Perry, Nora Balint‐Lahat, Shlomit Gilad, Dana Morzaev‐Sulzbach, Anjana Shenoy, Noa Bossel Ben‐Moshe, Anya Pavlovsky, Rinat Bernstein‐Molho, Eytan Domany, Iris Barshack, Tamar Geiger, Bella Kaufman, Einav Nili Gal‐Yam   +14 more
wiley   +1 more source