Subject
- Biomedical Engineering 8
- Mechanical Engineering 2
- Computer Science 1
- Interdisciplinary Research 1
- Life Sciences 1
- Molecular Pharmacology 1
Creator
- Haiguang Wen 7
- Junxing Shi 7
- Zhongming Liu, 0000-0002-8773-4204 7
- Jiayue Cao 6
- Kun-Han Lu, 0000-0002-0355-8515 6
- Yizhen Zhang 6
- Nina Mahmoudian, 0000-0002-3285-8234 2
- Zihan Wang 2
- Amir Hossein Raffiee 1
- Arezoo M. Ardekani 1
Type
- Dataset 15
Date
subject: deep learning type: dataset
Total is 15 Results
Raman spectra-based deep learning – A tool to identify microbial contamination
10.4231/HQGB-K827
Amir Hossein Raffiee
,
Arezoo M. Ardekani
,
Denilson Mendes De Oliveira
,
Mohit S. Verma
,
Murali K. Maruthamuthu
09/03/2020
Raman spectroscopic dataset for the potential microbes contaminating the pharmaceutical industry.
Agricultural and Biological Engineering deep learning microbial contamination Raman
Simplicity of K-means versus deepness of Deep Learning. A Case of Unsupervised Feature Learning with Limited Data
10.4231/R7N58J9Z
Baichuan Zhang , Bartlomiej P. Rajwa , Murat Dundar , Qiang Kou , Yicheng He
10/01/2015
A study contrasting K-means-based unsupervised feature learning and deep learning techniques for small data sets with limited intra- as well as inter-class diversity
bacterial colonies BARDOT Biomedical Engineering Computer Science deep learning Elastic light scattering Interdisciplinary Research K-Means Clustering Life Sciences Machine Learning representation learning
Data for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision Tests - Subject 1
10.4231/R7X63K3M
Haiguang Wen
,
Jiayue Cao
,
Junxing Shi
,
Kun-Han Lu
,
Yizhen Zhang
,
Zhongming Liu
09/15/2017
This is a video-fMRI dataset for subject 1 (out of three) acquired by the Laboratory of Integrated Brain Imaging (LIBI),
Biomedical Engineering deep learning fMRI LIBI natural vision neural decoding Neural encoding Neuroscience
Data for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision Tests - Subject 2
10.4231/R7NS0S1F
Haiguang Wen
,
Jiayue Cao
,
Junxing Shi
,
Kun-Han Lu
,
Yizhen Zhang
,
Zhongming Liu
09/18/2017
This is a video-fMRI dataset for subject 2 (out of three) acquired by the Laboratory of Integrated Brain Imaging (LIBI).
Biomedical Engineering deep learning fMRI LIBI natural vision neural decoding Neural encoding Neuroscience
Data for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision Tests - Subject 3
10.4231/R7J101BV
Haiguang Wen
,
Jiayue Cao
,
Junxing Shi
,
Kun-Han Lu
,
Yizhen Zhang
,
Zhongming Liu
09/15/2017
This is a video-fMRI dataset for subject 3 (out of three) acquired by the Laboratory of Integrated Brain Imaging (LIBI).
Biomedical Engineering deep learning fMRI LIBI movie stimuli natural vision neural decoding Neural encoding Neuroscience
Data for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision Tests - Stimuli
10.4231/R71Z42KK
Haiguang Wen
,
Jiayue Cao
,
Junxing Shi
,
Kun-Han Lu
,
Yizhen Zhang
,
Zhongming Liu
09/15/2017
This is a video-fMRI dataset contains the videos with stimuli acquired by the Laboratory of Integrated Brain Imaging (LIBI).
Biomedical Engineering deep learning fMRI LIBI movie stimuli natural vision neural decoding Neural encoding Neuroscience
Source code for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision
10.4231/R7V98675
Haiguang Wen
,
Jiayue Cao
,
Junxing Shi
,
Kun-Han Lu
,
Yizhen Zhang
,
Zhongming Liu
09/25/2017
This document includes the main source code (Matlab or Python) related to our study.
Biomedical Engineering deep learning FMR1 LIBI Matlab natural vision neural decoding Neural encoding Neuroscience Python Code Source Code
Source code for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision
10.4231/R7N58JJ3
Haiguang Wen
,
Jiayue Cao
,
Junxing Shi
,
Kun-Han Lu
,
Yizhen Zhang
,
Zhongming Liu
11/17/2017
This document includes the main source code (Matlab or Python) related to our study.
Biomedical Engineering deep learning FMR1 LIBI Matlab natural vision neural decoding Neural encoding Neuroscience Python Code Source Code
Visualized layer-wise visual features in deep residual neural network
10.4231/R7PR7T1G
Haiguang Wen
,
Junxing Shi
,
Wei Chen
,
Zhongming Liu
06/29/2017
Deep residual neural network is a brain-inspired computational model. 50 layers of neuron-like computational units are stacked into a bottom-up hierarchy. Features encoded at units are visualized for intuitively understanding the internal...
Biomedical Engineering deep learning natural vision Neural encoding Object Recognition
A deep learning neural network to extract of P- and S-wave transit times from Vertical Seismic Profile (VSP)
10.4231/TT0F-KH40
Douglas R Schmitt
,
Oumeng Zhang
07/23/2024
This archive contains the training dataset and the Python code to train a deep learning neural net that aims to extract separately P and S wave arrival transit times from synthetic common shot gathers (CSG) in a deviated borehole geometry.
deep learning Machine Learning Machine Learning and Geophysical Signals seismic behavior
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