Citation Impact
Citing Papers
Shallow vs. Deep Sum-Product Networks
2011
Big data analytics to improve cardiovascular care: promise and challenges
2016
Explainability for artificial intelligence in healthcare: a multidisciplinary perspective
2020 Standout
Automated machine learning: Review of the state-of-the-art and opportunities for healthcare
2020 Standout
Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application
2019 Standout
A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models
2019 Standout
Artificial Intelligence in Cardiology
2018 Standout
Artificial intelligence for fault diagnosis of rotating machinery: A review
2018 Standout
Optimal Experimental Design for Staggered Rollouts
2019 StandoutNobel
A novel method for intelligent fault diagnosis of rolling bearings using ensemble deep auto-encoders
2017 Standout
Research Design Meets Market Design: Using Centralized Assignment for Impact Evaluation
2017 StandoutNobel
Online Decision Making with High-Dimensional Covariates
2019
Deep learning for smart manufacturing: Methods and applications
2018 Standout
Artificial Intelligence and Black‐Box Medical Decisions: Accuracy versus Explainability
2019
Analysis of Machine Learning Techniques for Heart Failure Readmissions
2016
A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
2020 Standout
Enhancement of Patient Facial Recognition through Deep Learning Algorithm: ConvNet
2021 Standout
Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm
2021 Standout
Machine Learning Methods That Economists Should Know About
2019 StandoutNobel
Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance
2019
Motion-Robust Multimodal Heart Rate Estimation Using BCG Fused Remote-PPG With Deep Facial ROI Tracker and Pose Constrained Kalman Filter
2021
Beyond prediction: Using big data for policy problems
2017 StandoutScience
20 years of Electronic Commerce Research
2021 Standout
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
Understanding deep learning (still) requires rethinking generalization
2021 Standout
A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method
2017 Standout
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
Incentive Compatibility of Large Centralized Matching Markets
2016
Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities
2019 Standout
Sponsored search auctions: an overview of research with emphasis on game theoretic aspects
2012
A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis
2017 Standout
Rolling bearing fault diagnosis using an optimization deep belief network
2015
Works of Mark Braverman being referenced
Data-Driven Decisions for Reducing Readmissions for Heart Failure: General Methodology and Case Study
2014
Position Auctions with Budgets: Existence and Uniqueness
2010
Poly-logarithmic independence fools bounded-depth boolean circuits
2011
Mafia: A theoretical study of players and coalitions in a partial information environment
2008
Stability in Large Matching Markets with Complementarities
2014