Citation Impact
Citing Papers
The Indian Buffet Process: An Introduction and Review
2011
Generating Text with Recurrent Neural Networks
2011 StandoutNobel
A comprehensive survey on safe reinforcement learning
2015 Standout
Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models
2015
Tightlip: keeping applications from spilling the beans
2007
KLEE: unassisted and automatic generation of high-coverage tests for complex systems programs
2008 Standout
Memoized Online Variational Inference for Dirichlet Process Mixture Models
2013
Security trends and advances in manufacturing systems in the era of industry 4.0
2017
TaintDroid: an information-flow tracking system for realtime privacy monitoring on smartphones
2010 Standout
Transfer Learning for Reinforcement Learning Domains: A Survey
2009
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
2021 Standout
How artificial intelligence will change the future of marketing
2019 Standout
Prediction of undrained shear strength using extreme gradient boosting and random forest based on Bayesian optimization
2020 Standout
Probabilistic machine learning and artificial intelligence
2015 Nature
Hybrid computing using a neural network with dynamic external memory
2016 StandoutNatureNobel
Machine learning for molecular and materials science
2018 StandoutNature
Reinforcement Learning, Fast and Slow
2019 StandoutNobel
Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study
2020 Standout
Deep learning and process understanding for data-driven Earth system science
2019 StandoutNature
Neuroscience-Inspired Artificial Intelligence
2017 StandoutNobel
Software-Defined Networking: A Comprehensive Survey
2014 Standout
Machine learning: Trends, perspectives, and prospects
2015 StandoutScience
Digital Twin for rotating machinery fault diagnosis in smart manufacturing
2018 Standout
Enabling technologies and tools for digital twin
2019 Standout
Tolerating SDN application failures with LegoSDN
2014
Smart manufacturing: Characteristics, technologies and enabling factors
2017 Standout
Vigilante
2005
Reinforcement learning for building controls: The opportunities and challenges
2020 Standout
Transfer learning using computational intelligence: A survey
2015
Deep learning for smart manufacturing: Methods and applications
2018 Standout
Review of digital twin about concepts, technologies, and industrial applications
2020 Standout
All You Ever Wanted to Know about Dynamic Taint Analysis and Forward Symbolic Execution (but Might Have Been Afraid to Ask)
2010 Standout
The rise of “big data” on cloud computing: Review and open research issues
2014 Standout
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
2021 Standout
A Comprehensive Survey on Transfer Learning
2020 Standout
Approximate Computing: A Survey
2015
An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings
2019 Standout
Cross-Domain Fault Diagnosis of Rolling Element Bearings Using Deep Generative Neural Networks
2018
Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm
2021 Standout
A random forest guided tour
2016 Standout
Vulnerability-Specific Execution Filtering for Exploit Prevention on Commodity Software
2006
Big Data: A Survey
2014 Standout
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
2018 Standout
Paralinguistics in speech and language—State-of-the-art and the challenge
2012
A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
2020 Standout
Human-level concept learning through probabilistic program induction
2015 StandoutScience
Apple Leaf Diseases Recognition Based on An Improved Convolutional Neural Network
2020 Standout
Interpreting the Data: Parallel Analysis with Sawzall
2005
Mobile Augmented Reality Survey: From Where We Are to Where We Go
2017 Standout
Understanding GANs in the LQG Setting: Formulation, Generalization and Stability
2020
Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning
2018 Standout
stm: An R Package for Structural Topic Models
2019 Standout
A stochastic memoizer for sequence data
2009
Uncertainty quantification for data-driven turbulence modelling with Mondrian forests
2021
Bigtable
2008 Standout
A survey on data preprocessing for data stream mining: Current status and future directions
2017
A review of depression and suicide risk assessment using speech analysis
2015 Standout
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary
2018 Standout
TaintDroid
2014 Standout
Deep Learning for Generic Object Detection: A Survey
2019 Standout
Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review
2018 Standout
Supply chain management 4.0: a literature review and research framework
2020 Standout
Knowledge Graph Embedding: A Survey of Approaches and Applications
2017 Standout
A survey of transfer learning
2016 Standout
A Review of Relational Machine Learning for Knowledge Graphs
2015
A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis
2017 Standout
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications
2021 Standout
Generalizing from a Few Examples
2020 Standout
Works of Daniel M. Roy being referenced
Enhancing server availability and security through failure-oblivious computing
2004
Efficient Bayesian task-level transfer learning
2007
The Mondrian Process
2008
Training generative neural networks via Maximum Mean Discrepancy optimization
2015
Mondrian Forests: Efficient Online Random Forests
2014
Church: a language for generative models
2012
Bayesian Models of Graphs, Arrays and Other Exchangeable Random Structures
2014