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An Integrated Transfer Learning and Multitask Learning Approach for Pharmacokinetic Parameter Prediction Journal article
Molecular Pharmaceutics, 2019,Volume: 16,Issue: 2,Page: 533-541
Authors:  Ye Z.;  Yang Y.;  Li X.;  Cao D.;  Ouyang D.
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ADME  deep learning  multitask learning  pharmacokinetic parameters  transfer learning  
Unsupervised Learning of 3-D Local Features From Raw Voxels Based on a Novel Permutation Voxelization Strategy Journal article
IEEE Transactions on Cybernetics, 2019,Volume: 49,Issue: 2,Page: 481-494
Authors:  Han Z.;  Liu Z.;  Han J.;  Vong C.-M.;  Bu S.;  Chen C.L.P.
Favorite  |  View/Download:5/0  |  Submit date:2019/02/11
3-D local features  3-D voxelization  deep learning  stacked sparse autoencoder (SSAE)  unsupervised feature learning  
Deep learning for in vitro prediction of pharmaceutical formulations Journal article
Acta Pharmaceutica Sinica B, 2019,Volume: 9,Issue: 1,Page: 177-185
Authors:  Yang Y.;  Ye Z.;  Su Y.;  Zhao Q.;  Li X.;  Ouyang D.
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Automatic dataset selection algorithm  Deep learning  Oral fast disintegrating films  Oral sustained release matrix tablets  Pharmaceutical formulation  Small data  
Siamese Dense Neural Network for Software Defect Prediction with Small Data Journal article
IEEE Access, 2019,Volume: 7,Page: 7663-7677
Authors:  Zhao L.;  Shang Z.;  Zhao L.;  Qin A.;  Tang Y.Y.
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deep learning  few-shot learning  metric learning  Siamese dense neural networks  software defect prediction  
Non-invasive multi-disease classification via facial image analysis using a convolutional neural network Conference paper
International Conference on Wavelet Analysis and Pattern Recognition
Authors:  Zhang L.;  Zhang B.
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Deep learning  Facial image analysis  Medical biometrics  Multi-disease classification  
Kestrel-Based Search Algorithm (KSA) for parameter tuning unto Long Short Term Memory (LSTM) Network for feature selection in classification of high-dimensional bioinformatics datasets Conference paper
Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, FedCSIS 2018
Authors:  Azbehadji I.E.;  Millham R.;  Fong S.J.;  Yang H.
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Deep learning  Kestrel-based search algorithm  Long short term memory network  Random encircling  
Hyperspectral imagery classification based on semi-supervised broad learning system Journal article
Remote Sensing, 2018,Volume: 10,Issue: 5
Authors:  Kong Y.;  Wang X.;  Cheng Y.;  Chen C.L.P.
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Broad learning  Class-probability structure  Classification  Hyperspectral imagery  Semi-supervised  
Fast multi-object tracking using convolutional neural networks with tracklets updating Conference paper
2017 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2017
Authors:  Zhang Y.;  Tang Y.;  Fang B.;  Shang Z.
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Deep learning  Hungarian algorithm  Kaiman Filter  Multi-object tracking  
How meta-heuristic algorithms contribute to deep learning in the hype of big data analytics Conference paper
Advances in Intelligent Systems and Computing
Authors:  Fong S.;  Deb S.;  Yang X.-S.
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Algorithm design  Deep learning  Meta-heuristic algorithm  Nature-inspired computing algorithms  Neural network training  
Forecasting energy consumption from smart home sensor network by deep learning Conference paper
Communications in Computer and Information Science
Authors:  Dey N.;  Fong S.;  Song W.;  Cho K.
Favorite  |  View/Download:4/0  |  Submit date:2019/02/13
Deep learning  Energy prediction  IoT smart home  Time-series forecasting