17 citations · 32 across the 11 of their papers we have counts for
11 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…
Cross-Species Transfer Learning for Electrophysiology-to-Transcriptomics Mapping in Cortical GABAergic Interneurons
Theo Schwider, Ramin Ramezani
Single-cell electrophysiological recordings provide a powerful window into neuronal functional diversity and offer an interpretable route for linking intrinsic physiology to transc…
A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learning
Fahimeh Fakour, Ali Mosleh, Ramin Ramezani
The adaptation and use of Machine Learning (ML) in our daily lives has led to concerns in lack of transparency, privacy, reliability, among others. As a result, we are seeing resea…
A Deep Dive into the Factors Influencing Financial Success: A Machine Learning Approach
Michael Zhou, Ramin Ramezani
This paper explores various socioeconomic factors that contribute to individual financial success using machine learning algorithms and approaches. Financial success, a critical as…
Transformer models as an efficient replacement for statistical test suites to evaluate the quality of random numbers
Rishabh Goel, YiZi Xiao, Ramin Ramezani
Random numbers are incredibly important in a variety of fields, and the need for their validation remains important for safety. A Quantum Random Number Generator (QRNG) can theoret…
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…