Deep learning based cross-patient EEG seizure analysis algorithms

Deep Semiparametric Regression under Unequal Probability Sampling

A Time GPT-GARCH Family Model Incorporating Multi-Source Information Fusion for Volatility Forecasting in China's Financial Markets

多层图正则化感知的半监督学习

Real-Time GDP Nowcasting with Mixed-Frequency Dynamic Factor Models and Deep Learning: Evidence from China

Non-Convex Penalized Average Hyperplane Support Vector Machine for Multiclass Classification

Empirical Likelihood-Based Fairness Auditing: Distribution-Free Certification and Flagging

Decomposition for Bayesian Networks via Minimal D-Separation Tree: Local and Parallel Inference

A Bias-Correction Decentralized Stochastic Gradient Algorithm with Momentum Acceleration

大语言模型驱动多源复杂调查数据的社会风险测度：文献综述与未来展望

A Decentralized Support Vector Machine Based on Majorization-Minimization and ADMM

Neural Networks for Parameter Estimation of the Discretely Observed Hawkes Process

AI-Assisted Optimal Functional Estimation

Fairness-Aware Bayes Optimal Functional Classification

Efficient Human-in-the-Loop Active Learning: A Novel Framework for Data Labeling in AI Systems

Transfer Learning for Robust Functional Linear Regression

Decentralized Fairness-Aware Generalized Linear Model

BAAL: A Multi-Objective Active Learning Framework for Fair and Efficient ASD Diagnosis

A Communication Efficient Boosting Method for Distributed Spectral Clustering

Energy Score-Guided Neural Gaussian Mixture Model for Predictive Uncertainty Quantification

Transfer Learning for Unsupervised Clustering via Representation Learning

Adversarial Contamination Meets Hard Thresholding: An Iterative Algorithm with Signal Adaptivity and Minimax Optimality

Model-Based Clustering of Matrix Valued Data via Shared Low-Rank Decomposition

Loss-Induced Binary Code Learning for Noise-Immune Multi-View Clustering