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Pattern recognition, ISSN 0031-3203, 2018, Volume 77, pp. 354 - 377
Journal Article
Remote sensing (Basel, Switzerland), ISSN 2072-4292, 2016, Volume 8, Issue 7, p. 594
A new pansharpening method is proposed, based on convolutional neural networks. We adapt a simple and effective three-layer architecture recently proposed for super-resolution to the pansharpening problem... 
Super-resolution | Segmentation | Convolutional neural networks | Multiresolution | Enhancement | Machine learning | DATA-FUSION | QUALITY | super-resolution | SPECTRAL RESOLUTION IMAGES | enhancement | machine learning | PAN-SHARPENING METHOD | REMOTE SENSING | multiresolution | segmentation | CONTRAST | convolutional neural networks | LANDSAT THEMATIC MAPPER
Journal Article
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), ISSN 2329-9304, 10/2014, Volume 22, Issue 10, pp. 1533 - 1545
Recently, the hybrid deep neural network (DNN)- hidden Markov model (HMM) has been shown to significantly improve speech recognition performance over the conventional Gaussian mixture model (GMM)-HMM... 
convolution | convolutional neural networks | pooling | limited weight sharing (LWS) scheme | Training | Convolution | Neural networks | Limited Weight Sharing (LWS) scheme | Hidden Markov models | Speech recognition | Speech | Vectors | Convolutional neural networks | Pooling | ACOUSTICS | CONNECTIONIST FEATURE-EXTRACTION | MODEL | FEATURES | ENGINEERING, ELECTRICAL & ELECTRONIC | Voice recognition | Product development
Journal Article
IEEE transactions on medical imaging, ISSN 1558-254X, 2018, Volume 37, Issue 2, pp. 384 - 395
Journal Article
Journal of neural engineering, ISSN 1741-2552, 2018, Volume 15, Issue 5, p. 056013
.... Convolutional neural networks (CNNs), which have been used in computer vision and speech recognition to perform automatic feature extraction and classification, have successfully been applied to EEG-based BCIs... 
deep learning | sensory motor rhythm | event-related potential | brain-computer interface | convolutional neural network | EEG | SYSTEM | ENGINEERING, BIOMEDICAL | CLASSIFICATION | ALGORITHMS | NEUROSCIENCES | EXTRACTION | MOTOR IMAGERY | CORTICAL POTENTIALS | MOVEMENT | DYNAMICS | SELECTION | DESYNCHRONIZATION
Journal Article
Neurocomputing (Amsterdam), ISSN 0925-2312, 2017, Volume 219, pp. 88 - 98
As a powerful visual model, convolutional neural networks (CNNs) have demonstrated remarkable performance in various visual recognition problems, and attracted considerable attention in recent years... 
Deep learning | Convolutional neural networks | Hyperspectral image classification | BAND SELECTION | FOREWORD | REPRESENTATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | SPECIAL-ISSUE | Computer science | Neural networks | Analysis
Journal Article
Neurocomputing (Amsterdam), ISSN 0925-2312, 2017, Volume 234, pp. 11 - 26
Journal Article
IEEE transactions on medical imaging, ISSN 1558-254X, 2017, Volume 36, Issue 12, pp. 2524 - 2535
Journal Article