17 citations · 24 across the 7 of their papers we have counts for
4 papers · 1 filter
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…
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…