相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Eight ways machine learning is assisting medicine
Mike May
NATURE MEDICINE (2021)
Emerging Applications of Machine Learning in Food Safety
Xiangyu Deng et al.
ANNUAL REVIEW OF FOOD SCIENCE AND TECHNOLOGY, VOL 12, 2021 (2021)
A hybrid quantum-classical conditional generative adversarial network algorithm for human-centered paradigm in cloud
Wenjie Liu et al.
EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING (2021)
Supervised deep convolutional generative adversarial networks
Abdurrahman Ocal et al.
NEUROCOMPUTING (2021)
MFIF-GAN: A new generative adversarial network for multi-focus image fusion
Yicheng Wang et al.
SIGNAL PROCESSING-IMAGE COMMUNICATION (2021)
Deep Learning for Visual Content Analysis
Alexandros Iosifidis et al.
SIGNAL PROCESSING-IMAGE COMMUNICATION (2020)
Generative Adversarial Networks
Ian Goodfellow et al.
COMMUNICATIONS OF THE ACM (2020)
Quantum generative adversarial network for generating discrete distribution
Haozhen Situ et al.
INFORMATION SCIENCES (2020)
Dirichlet Variational Autoencoder
Weonyoung Joo et al.
PATTERN RECOGNITION (2020)
Compressive Privacy Generative Adversarial Network
Bo-Wei Tseng et al.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (2020)
On the Effectiveness of Least Squares Generative Adversarial Networks
Xudong Mao et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2019)
A Conditional Generative Model Based on Quantum Circuit and Classical Optimization
Zhimin He et al.
INTERNATIONAL JOURNAL OF THEORETICAL PHYSICS (2019)
Quantum generative adversarial learning in a superconducting quantum circuit
Ling Hu et al.
SCIENCE ADVANCES (2019)
Adversarial quantum circuit learning for pure state approximation
Marcello Benedetti et al.
NEW JOURNAL OF PHYSICS (2019)
Quantum machine learning
Jonathan Allcock et al.
NATIONAL SCIENCE REVIEW (2019)
SmartPaint: a co-creative drawing system based on generative adversarial networks
Lingyun Sun et al.
FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING (2019)
Evaluating analytic gradients on quantum hardware
Maria Schuld et al.
PHYSICAL REVIEW A (2019)
Effective data generation for imbalanced learning using conditional generative adversarial networks
Georgios Douzas et al.
EXPERT SYSTEMS WITH APPLICATIONS (2018)
Characterizing quantum supremacy in near-term devices
Sergio Boixo et al.
NATURE PHYSICS (2018)
Improved Boundary Equilibrium Generative Adversarial Networks
Yanchun Li et al.
IEEE ACCESS (2018)
Quantum Generative Adversarial Learning
Seth Lloyd et al.
PHYSICAL REVIEW LETTERS (2018)
Generative Adversarial Network for Medical Images (MI-GAN)
Talha Iqbal et al.
JOURNAL OF MEDICAL SYSTEMS (2018)
Predicting weather forecast uncertainty with machine learning
Sebastian Scher et al.
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY (2018)
Quantum generative adversarial networks
Pierre-Luc Dallaire-Demers et al.
PHYSICAL REVIEW A (2018)
Quantum computational supremacy
Aram W. Harrow et al.
NATURE (2017)
Quantum sampling problems, BosonSampling and quantum supremacy
A. P. Lund et al.
NPJ QUANTUM INFORMATION (2017)
Read the fine print
Scott Aaronson
NATURE PHYSICS (2015)
Quantum principal component analysis
Seth Lloyd et al.
NATURE PHYSICS (2014)
A quantum-inspired genetic algorithm for k-means clustering
Jing Xiao et al.
EXPERT SYSTEMS WITH APPLICATIONS (2010)
How entangled can two couples get?
A Higuchi et al.
PHYSICS LETTERS A (2000)