Results 211 to 220 of about 2,004,297 (387)

Visual Sentiment Prediction with Deep Convolutional Neural Networks

, 2014
Can Xu, Suleyman Cetintas, Kuang-Chih Lee, Li-Jia Li   +3 more
openalex   +2 more sources

Convolutional neural networks at constrained time cost [PDF]

, 2015
Kaiming He, Jian Sun
openalex   +1 more source

Integrative Multi‐Omics and Routine Blood Analysis Using Deep Learning: Cost‐Effective Early Prediction of Chronic Disease Risks

Advanced Science, EarlyView.
Omicsformer, a deep learning model, integrates multi‐omics and routine blood data to accurately predict risks for nine chronic diseases, including cancer and cardiovascular conditions. Validated using large scale clinical data, it reveals early risk trajectories, advancing personalized medicine and offering a cost‐effective, community‐based solution ...
Zhibin Dong, Pei Li, Yi Jiang, Zhihan Wang, Shihui Fu, Hebin Che, Meng Liu, Xiaojing Zhao, Chunlei Liu, Chenghui Zhao, Qin Zhong, Chongyou Rao, Siwei Wang, Suyuan Liu, Dayu Hu, Dongjin Wang, Juntao Gao, Kai Guo, Xinwang Liu, En Zhu, Kunlun He   +20 more
wiley   +1 more source

Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks [PDF]

, 2015
Daojian Zeng, Kang Liu, Yubo Chen, Jun Zhao   +3 more
openalex   +1 more source

Actionable Forecasting as a Determinant of Biological Adaptation

Advanced Science, EarlyView.
A new framework reveals how biological systems can achieve precise adaptation by tracking an actionable target that combines the current optimal state with its rate of change. This approach, implemented through dynamics‐informed neural networks, demonstrates that predictive mechanisms like circadian rhythms become beneficial when environmental sensing ...
Jose M. G. Vilar, Leonor Saiz
wiley   +1 more source

Convolutional Neural Network for Depression and Schizophrenia Detection. [PDF]

Diagnostics (Basel)
Espino-Salinas CH, Luna-García H, Cepeda-Argüelles A, Trejo-Vázquez K, Flores-Chaires LA, Mercado Reyna J, Galván-Tejada CE, Acra-Despradel C, Villalba-Condori KO.   +8 more
europepmc   +1 more source

The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification

, 2014
Tianjun Xiao, Yichong Xu, Kuiyuan Yang, Jiaxing Zhang, Yuxin Peng, Zheng Zhang   +5 more
openalex   +2 more sources

Machine Learning‐Enabled Drug‐Induced Toxicity Prediction

Advanced Science, EarlyView.
Unexpected toxicity accounts for 30% of drug development failures. This review highlights ML innovations in predicting drug‐induced toxicity, emphasizing comparative analyses, interpretable algorithms, and multi‐source data integration. It categorizes toxicity types, summarizes ML models, and organizes key databases, offering strategies to address ...
Changsen Bai, Lianlian Wu, Ruijiang Li, Yang Cao, Song He, Xiaochen Bo   +5 more
wiley   +1 more source

A fine-tuned convolutional neural network model for accurate Alzheimer's disease classification. [PDF]

Sci Rep
Hussain MZ, Shahzad T, Mehmood S, Akram K, Khan MA, Tariq MU, Ahmed A.   +6 more
europepmc   +1 more source

People Re-identification using Deep Convolutional Neural Network

, 2014
Guanwen Zhang, Jien Kato, Yu Wang, Kenji Mase   +3 more
openalex   +1 more source