Citation Impact
Citing Papers
A survey of machine learning for big data processing
2016
Project Adam: building an efficient and scalable deep learning training system
2014
Large Scale Distributed Deep Networks
2012 Standout
The evolutionary history of human spindle genes includes back-and-forth gene flow with Neandertals
2022 StandoutNobel
Graph neural networks: A review of methods and applications
2020 Standout
Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning
2018 Standout
Hybrid computing using a neural network with dynamic external memory
2016 StandoutNatureNobel
Effective gene expression prediction from sequence by integrating long-range interactions
2021 StandoutNobel
Machine learning for molecular and materials science
2018 StandoutNature
Preparing Medical Imaging Data for Machine Learning
2020 Standout
Mastering the game of Go with deep neural networks and tree search
2016 StandoutNatureNobel
CADD: predicting the deleteriousness of variants throughout the human genome
2018 Standout
Perspective: Materials informatics and big data: Realization of the “fourth paradigm” of science in materials science
2016 Standout
Big Data technologies: A survey
2017 Standout
Brain Intelligence: Go beyond Artificial Intelligence
2017 Standout
Big Data Analytics in Operations Management
2017 Standout
Machine Learning in Big Data
2016
Literature review of Industry 4.0 and related technologies
2018 Standout
A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications
2018 Standout
A Block EM Algorithm for Multivariate Skew Normal and Skew <inline-formula> <tex-math notation="LaTeX">$t$ </tex-math> </inline-formula>-Mixture Models
2018
A survey on FinTech
2017 Standout
Challenges of Big Data analysis
2014
More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server
2013
SystemML
2016
The family of mapreduce and large-scale data processing systems
2013
A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions
2018 Standout
The rise of “big data” on cloud computing: Review and open research issues
2014 Standout
Petuum: A New Platform for Distributed Machine Learning on Big Data
2015
A survey on Image Data Augmentation for Deep Learning
2019 Standout
Big Data with Cloud Computing: an insight on the computing environment,MapReduce , and programming frameworks
2014
Reference Architecture and Classification of Technologies, Products and Services for Big Data Systems
2015
Knowledge Distillation: A Survey
2021 Standout
Big Data in product lifecycle management
2015
Tourism analytics with massive user-generated content: A case study of Barcelona
2015 Standout
A Survey of Research on Cloud Robotics and Automation
2015 Standout
Machine learning on big data: Opportunities and challenges
2017
Big data in healthcare: management, analysis and future prospects
2019 Standout
Assessing the impact of big data on firm innovation performance: Big data is not always better data
2019 Standout
Distributed Statistical Machine Learning in Adversarial Settings
2017
Parallel processing of filtered queries in attributed semantic graphs
2014
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
2021 Standout
Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems
2020
Big Data and data science: A critical review of issues for educational research
2017 Standout
Federated Machine Learning
2019 Standout
On hyperparameter optimization of machine learning algorithms: Theory and practice
2020 Standout
Deep Reinforcement Learning: A Brief Survey
2017 Standout
Recent advances in convolutional neural networks
2017 Standout
Digital twin-driven product design, manufacturing and service with big data
2017 Standout
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary
2018 Standout
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
2017 Standout
Scaling Distributed Machine Learning with the Parameter Server
2014
An Effective Federated Learning Verification Strategy and Its Applications for Fault Diagnosis in Industrial IoT Systems
2022 Standout
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
2019 Standout
Realizing the Potential of the Internet of Things for Smart Tourism with 5G and AI
2020 Standout
Deep learning applications and challenges in big data analytics
2015 Standout
DGM: A deep learning algorithm for solving partial differential equations
2018 Standout
Cyber-physical systems architectures for industrial internet of things applications in Industry 4.0: A literature review
2020 Standout
Data-driven smart manufacturing
2018 Standout
Majorization-Minimization Algorithms in Signal Processing, Communications, and Machine Learning
2016 Standout
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
2016 Standout
Parallel processing algorithm for railway signal fault diagnosis data based on cloud computing
2018 Standout
Finite Mixture Models
2000 Standout
Apache Spark
2016 Standout
Accurate proteome-wide missense variant effect prediction with AlphaMissense
2023 StandoutScienceNobel
Reliable Data Distillation on Graph Convolutional Network
2020
Beyond the hype: Big data concepts, methods, and analytics
2014 Standout
Parallel community detection on large graphs with MapReduce and GraphChi
2015
Scalable subgraph enumeration in MapReduce: a cost-oriented approach
2017
Toward Scalable Systems for Big Data Analytics: A Technology Tutorial
2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
2014 Standout
Understanding big data analytics capabilities in supply chain management: Unravelling the issues, challenges and implications for practice
2017 Standout
Works of Danny Bickson being referenced
PowerGraph: distributed graph-parallel computation on natural graphs
2012
Distributed GraphLab
2012