Data Science and Machine Learning

​Research Track:&nbsp;Random Padding Data Augmentation.-&nbsp;Unsupervised Fraud Detection on Sparse Rating Networks.-&nbsp;Semi-Supervised Model-Based Clustering for Ordinal Data.-&nbsp;Damage GAN: A Generative Model for Imbalanced Data.-&nbsp;Text-Conditioned Graph Generation Using Discrete Graph&nbsp;Variational Autoencoders.-&nbsp;Boosting QA Performance through SA-Net and AA-Net with&nbsp;the Read+Verify Framework.-&nbsp;Anomaly Detection Algorithms: Comparative Analysis and&nbsp;Explainability Perspectives.-&nbsp;Towards Fairness and Privacy: A Novel Data Pre-processing&nbsp;Optimization Framework for Non-binary Protected Attributes.-&nbsp;MStoCast: Multimodal Deep Network for Stock Market Forecast..-&nbsp;Few Shot and Transfer Learning with Manifold Distributed Datasets.-&nbsp;Mitigating The Adverse Effects of Long-tailed Data on&nbsp;Deep Learning Models.-&nbsp;Shapley Value Based Feature Selection to Improve Generalization of&nbsp;Genetic Programming for High-Dimensional Symbolic Regression.-&nbsp;Hybrid Models for Predicting Cryptocurrency Price Using&nbsp;Financial and Non-Financial Indicators.-&nbsp;Application Track:&nbsp;Multi-Dimensional Data Visualization for Analyzing Materials.-&nbsp;Law in Order: An Open Legal Citation Network for New Zealand.-&nbsp;Enhancing Resource Allocation in IT Projects: The Potentials of&nbsp;Deep Learning-Based Recommendation Systems and&nbsp;Data-Driven Approaches.-&nbsp;A Comparison of One-Class versus Two-Class Machine Learning&nbsp;Models for Wildfire Prediction in California.-&nbsp;Skin Cancer Detection with Multimodal Data: A Feature Selection&nbsp;Approach Using Genetic Programming.-&nbsp;Comparison of Interpolation Techniques for Prolonged Exposure Estimation:&nbsp;A Case Study on Seven years of Daily Nitrogen Oxide in Greater Sydney.-&nbsp;Detecting Asthma Presentations from Emergency Department Notes:<div>An Active Learning Approach.</div>