62 citations
- University of VictoriaCA4 papers
- Victoria UniversityAU2 papers
- Austin Independent School DistrictUS1 paper
- Johns Hopkins UniversityUS1 paper
- Kyungpook National UniversityKR1 paper
- Max Planck Institute for Solar System ResearchDE1 paper
- Observatoire Midi-PyrénéesFR1 paper
- Royal Military College of CanadaCA1 paper
- Saveetha UniversityIN1 paper
- Simon Fraser UniversityCA1 paper
- The University of Texas MD Anderson Cancer CenterUS1 paper
- TRC Companies (United States)US1 paper
7 papers
Customer Churn Prediction on Structured Data Using FT-Transformer and Stacking Ensembles
Joyjit Roy, Samaresh Kumar Singh, Laxmi Shaw
Customer churn prediction is essential across data-driven industries such as insurance, digital banking, eCommerce, and subscription platforms, where retaining existing customers i…
First-Order Axiom Systems and Extending Tarski's with Distance and Angle Function Symbols for Quantitative Euclidean Geometry
Hongyu Guo
Tarski's first-order axiom system for Euclidean geometry is notable for its completeness and decidability. However, the Pythagorean theorem -- either in its moder…
From Data to Decisions: The Transformational Power of Machine Learning in Business Recommendations
Kapilya Gangadharan, K. Malathi, Anoop Purandaran +3
This research aims to explore the impact of Machine Learning (ML) on the evolution and efficacy of Recommendation Systems (RS), particularly in the context of their growing signifi…
Communication Costs in a Geometric Communication Network
Sima Hajiaghaei Shanjani, Valerie King
A communication network is a graph in which each node has only local information about the graph and nodes communicate by passing messages along its edges. Here, we consider the {\…
A Review of Statistical Methods in Imaging Genetics
Farouk S. Nathoo, Linglong Kong, Hongtu Zhu
With the rapid growth of modern technology, many large-scale biomedical studies have been/are being/will be conducted to collect massive datasets with large volumes of multi-modali…
Estimable group effects for strongly correlated variables in linear models
Min Tsao
It is well known that parameters for strongly correlated predictor variables in a linear model cannot be accurately estimated. We look for linear combinations of these parameters t…