Related references
Note: Only part of the references are listed.Using deep learning to model the hierarchical structure and function of a cell
Jianzhu Ma et al.
NATURE METHODS (2018)
Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning
Ryan Poplin et al.
NATURE BIOMEDICAL ENGINEERING (2018)
DLAU: A Scalable Deep Learning Accelerator Unit on FPGA
Chao Wang et al.
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS (2017)
Automatic Video Event Detection for Imbalance Data Using Enhanced Ensemble Deep Learning
Samira Pouyanfar et al.
INTERNATIONAL JOURNAL OF SEMANTIC COMPUTING (2017)
Efficient Imbalanced Multimedia Concept Retrieval by Deep Learning on Spark Clusters
Yilin Yan et al.
INTERNATIONAL JOURNAL OF MULTIMEDIA DATA ENGINEERING & MANAGEMENT (2017)
YFCC100M: The New Data in Multimedia Research
Bart Thomee et al.
COMMUNICATIONS OF THE ACM (2016)
Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique
Hayit Greenspan et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Can we open the black box of AI?
Davide Castelvecchi
NATURE (2016)
Mass cytometry: blessed with the curse of dimensionality
Evan W. Newell et al.
NATURE IMMUNOLOGY (2016)
Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis
Geert Litjens et al.
SCIENTIFIC REPORTS (2016)
Deep Belief Network-Based Approaches for Link Prediction in Signed Social Networks
Feng Liu et al.
ENTROPY (2015)
A 1 TOPS/W Analog Deep Machine-Learning Engine With Floating-Gate Storage in 0.13 μm CMOS
Junjie Lu et al.
IEEE JOURNAL OF SOLID-STATE CIRCUITS (2015)
Automatic model selection for high-dimensional survival analysis
M. Lang et al.
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION (2015)
Link prediction in social networks: the state-of-the-art
Wang Peng et al.
SCIENCE CHINA-INFORMATION SCIENCES (2015)
A tutorial survey of architectures, algorithms, and applications for deep learning
Li Deng
APSIPA TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING (2014)
Vision meets robotics: The KITTI dataset
A. Geiger et al.
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2013)
Nonstationary Source Separation Using Sequential and Variational Bayesian Learning
Jen-Tzung Chien et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2013)
Deep Neural Networks for Acoustic Modeling in Speech Recognition
Geoffrey Hinton et al.
IEEE SIGNAL PROCESSING MAGAZINE (2012)
Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition
George E. Dahl et al.
IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING (2012)
An Efficient Learning Procedure for Deep Boltzmann Machines
Ruslan Salakhutdinov et al.
NEURAL COMPUTATION (2012)
Survey on speech emotion recognition: Features, classification schemes, and databases
Moataz El Ayadi et al.
PATTERN RECOGNITION (2011)
Neural Network for Graphs: A Contextual Constructive Approach
Alessio Micheli
IEEE TRANSACTIONS ON NEURAL NETWORKS (2009)
80 million tiny images: A large data set for nonparametric object and scene recognition
Antonio Torralba et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2008)
Neural networks for continuous online learning and control
Min Chee Choy et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2006)
A fast learning algorithm for deep belief nets
Geoffrey E. Hinton et al.
NEURAL COMPUTATION (2006)
Harnessing nonlinearity: Predicting chaotic systems and saving energy in wireless communication
H Jaeger et al.
SCIENCE (2004)
Share Paper
