17 citations · 24 across the 7 of their papers we have counts for
7 papers
polyDAG: Polynomial Acyclicity Constraints for Efficient Continuous Causal Discovery in Visual Semantic Graphs
Wenhao Zhang, Ramin Ramezani, Tao Han +2
Modern image-analysis pipelines often convert images into structured semantic variables, such as facial attributes, object concepts, and scene descriptors. Learning directed depend…
ECG Heartbeat classification using deep transfer learning with Convolutional Neural Network and STFT technique
Minh Cao, Tianqi Zhao, Yanxun Li +3
Electrocardiogram (ECG) is a simple non-invasive measure to identify heart-related issues such as irregular heartbeats known as arrhythmias. While artificial intelligence and machi…
Range of Motion Sensors for Monitoring Recovery of Total Knee Arthroplasty
Minh Cao, Brett Bailey, Wenhao Zhang +10
A low-cost, accurate device to measure and record knee range of motion (ROM) is of the essential need to improve confidence in at-home rehabilitation. It is to reduce hospital stay…
Causal Inference in medicine and in health policy, a summary
Wenhao Zhang, Ramin Ramezani, Arash Naeim
A data science task can be deemed as making sense of the data or testing a hypothesis about it. The conclusions inferred from data can greatly guide us to make informative decision…
WOTBoost: Weighted Oversampling Technique in Boosting for imbalanced learning
Wenhao Zhang, Ramin Ramezani, Arash Naeim
Machine learning classifiers often stumble over imbalanced datasets where classes are not equally represented. This inherent bias towards the majority class may result in low accur…
GenSample: A Genetic Algorithm for Oversampling in Imbalanced Datasets
Vishwa Karia, Wenhao Zhang, Arash Naeim +1
Imbalanced datasets are ubiquitous. Classification performance on imbalanced datasets is generally poor for the minority class as the classifier cannot learn decision boundaries we…
Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning
Wenhao Zhang, Wentian Bao, Xiao-Yang Liu +4
Post-click conversion rate (CVR) estimation is a critical task in e-commerce recommender systems. This task is deemed quite challenging under the industrial setting with two major…