Standout Papers
Citation Impact
Citing Papers
Medical imaging deep learning with differential privacy
2021
Secure, privacy-preserving and federated machine learning in medical imaging
2020 Standout
Ethical machines: The human-centric use of artificial intelligence
2021
Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records
2016 Standout
Explainable AI: A Review of Machine Learning Interpretability Methods
2020 Standout
Wearable biosensors for healthcare monitoring
2019 Standout
AI in health and medicine
2022 Standout
Sex and gender: modifiers of health, disease, and medicine
2020 Standout
Privacy and Security in Mobile Health: A Research Agenda
2016
Preparing Medical Imaging Data for Machine Learning
2020 Standout
Multimodal biomedical AI
2022 Standout
Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
2020 Standout
Privacy in the age of medical big data
2018 Standout
Deep learning in histopathology: the path to the clinic
2021 Standout
Federated learning of predictive models from federated Electronic Health Records
2018
Digital medicine and the curse of dimensionality
2021
Revolutionizing healthcare: the role of artificial intelligence in clinical practice
2023 Standout
Sex and gender analysis improves science and engineering
2019 Nature
ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns
2023 Standout
Machine learning: Trends, perspectives, and prospects
2015 StandoutScience
Machine learning for data-driven discovery in solid Earth geoscience
2019 StandoutScience
Federated Learning in Mobile Edge Networks: A Comprehensive Survey
2020 Standout
Active learning machine learns to create new quantum experiments
2018 StandoutNobel
Bounds on the sample complexity for private learning and private data release
2013
Deep Transfer Learning for Intelligent Cellular Traffic Prediction Based on Cross-Domain Big Data
2019 Standout
Survey on Improving Data Utility in Differentially Private Sequential Data Publishing
2017
Recent applications of big data analytics in railway transportation systems: A survey
2018 Standout
Privacy and performance trade-off in cyber-physical systems
2016
6G Internet of Things: A Comprehensive Survey
2021 Standout
GTxChain: A Secure IoT Smart Blockchain Architecture Based on Graph Neural Network
2023 Standout
Train Delay Prediction Systems: A Big Data Analytics Perspective
2017
A Survey on Internet of Things: Architecture, Enabling Technologies, Security and Privacy, and Applications
2017 Standout
Digital Economics
2019 Standout
Privacy in the Smart City—Applications, Technologies, Challenges, and Solutions
2017
Federated Learning With Differential Privacy: Algorithms and Performance Analysis
2020 Standout
The Janus face of artificial intelligence feedback: Deployment versus disclosure effects on employee performance
2021 Standout
Introduction to The Special Section on Bias and Fairness in AI
2021
The Roadmap to 6G Security and Privacy
2021
Deep learning for healthcare: review, opportunities and challenges
2017 Standout
Private Model Compression via Knowledge Distillation
2019
Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data
2017 Standout
Knowledge Distillation: A Survey
2021 Standout
TrustFed: A Framework for Fair and Trustworthy Cross-Device Federated Learning in IIoT
2021
Deep Learning with Differential Privacy
2016 Standout
On Binary Decomposition Based Privacy-Preserving Aggregation Schemes in Real-Time Monitoring Systems
2016
SoK: Towards the Science of security and privacy in machine learning
2018
Federated Learning: A signal processing perspective
2022
Industry 5.0—A Human-Centric Solution
2019 Standout
A Survey on the Edge Computing for the Internet of Things
2017 Standout
A systematic literature review on machine learning applications for sustainable agriculture supply chain performance
2020 Standout
Artificial intelligence in cancer imaging: Clinical challenges and applications
2019 Standout
Differentially Private Empirical Risk Minimization.
2011
A survey on security control and attack detection for industrial cyber-physical systems
2017 Standout
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
2021 Standout
A person centered work psychology: changing paradigms by broadening horizons
1996 Standout
A Survey on Metaverse: Fundamentals, Security, and Privacy
2022 Standout
Classification with Fairness Constraints
2019
A Privacy-Aware and Incremental Defense Method Against GAN-Based Poisoning Attack
2023
The global landscape of AI ethics guidelines
2019 Standout
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
Federated Machine Learning
2019 Standout
A Deep Blockchain Framework-Enabled Collaborative Intrusion Detection for Protecting IoT and Cloud Networks
2020
On hyperparameter optimization of machine learning algorithms: Theory and practice
2020 Standout
Efficient and Privacy-Enhanced Federated Learning for Industrial Artificial Intelligence
2019
Dynamic Delay Predictions for Large-Scale Railway Networks: Deep and Shallow Extreme Learning Machines Tuned via Thresholdout
2017
A Survey on IoT Security: Application Areas, Security Threats, and Solution Architectures
2019 Standout
Privacy-constrained network formation
2017 StandoutNobel
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
2018 Standout
An Overview of Internet of Things (IoT) and Data Analytics in Agriculture: Benefits and Challenges
2018 Standout
Privacy-Preserving Data Mining: Methods, Metrics, and Applications
2017
An Effective Federated Learning Verification Strategy and Its Applications for Fault Diagnosis in Industrial IoT Systems
2022 Standout
Federated learning enabled digital twins for smart cities: Concepts, recent advances, and future directions
2022 Standout
Discovering governing equations from data by sparse identification of nonlinear dynamical systems
2016 Standout
The Economics of Privacy
2016
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth
2017
Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond
2022 Standout
Machine Learning Differential Privacy With Multifunctional Aggregation in a Fog Computing Architecture
2018
Privacy-Preserving Data Aggregation for Mobile Crowdsensing With Externality: An Auction Approach
2021
Works of Aaron Roth being referenced
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
2017
Meritocratic fairness for cross-population selection
2017
Generalization in Adaptive Data Analysis and Holdout Reuse
2015
A learning theory approach to noninteractive database privacy
2013
Mechanism Design in Large Games: Incentives and Privacy
2014
Fairness in Criminal Justice Risk Assessments: The State of the Art
2018
The Algorithmic Foundations of Differential Privacy
2013 Standout
The reusable holdout: Preserving validity in adaptive data analysis
2015 Science
Privacy Odometers and Filters: Pay-as-you-Go Composition
2016
Selling privacy at auction
2013
Private algorithms for the protected in social network search
2016
A snapshot of the frontiers of fairness in machine learning
2020
Differentially Private Approximation Algorithms
2009