Feature Distribution Shift Mitigation with Contrastive Pretraining for Intrusion Detectionby Weixing Wang, Haojin Yang, Christoph…
GCEPNet: Graph Convolution-Enhanced Expectation Propagation for Massive MIMO Detectionby Qincheng Lu, Sitao Luan, Xiao-Wen ChangFirst…
Graph Machine Learning in the Era of Large Language Models (LLMs)by Wenqi Fan, Shijie Wang,…
Integrating Heterogeneous Gene Expression Data through Knowledge Graphs for Improving Diabetes Predictionby Rita T. Sousa,…
Hyperparameter Optimization Can Even be Harmful in Off-Policy Learning and How to Deal with Itby…
Using ARIMA to Predict the Expansion of Subscriber Data Consumptionby Mike Wa NkongoloFirst submitted to…
Automated Multi-Language to English Machine Translation Using Generative Pre-Trained Transformersby Elijah Pelofske, Vincent Urias, Lorie…
Interpretable Prediction and Feature Selection for Survival Analysisby Mike Van Ness, Madeleine UdellFirst submitted to…
Dynamically Anchored Prompting for Task-Imbalanced Continual Learningby Chenxing Hong, Yan Jin, Zhiqi Kang, Yizhou Chen,…
A Customer Level Fraudulent Activity Detection Benchmark for Enhancing Machine Learning Model Research and Evaluationby…