:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yang, Haowei, Cheng, Zhan, Zhang, Zhaoyang, Luo, Yuanshuai, Huang, Shuaishuai, Xiang, Ao
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2410.19394
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Beyond the Pre-Service Horizon: Infusing In-Service Behavior for Improved Financial Risk Forecasting
by: Liu, Senhao, et al.
Published: (2025)

A Comprehensive Survey on Enterprise Financial Risk Analysis from Big Data and LLMs Perspective
by: Du, Huaming, et al.
Published: (2022)

Research on Credit Risk Early Warning Model of Commercial Banks Based on Neural Network Algorithm
by: Cheng, Yu, et al.
Published: (2024)

TriCon-SF: A Triple-Shuffle and Contribution-Aware Serial Federated Learning Framework for Heterogeneous Healthcare Data
by: Yan, Yuping, et al.
Published: (2025)

User Behavior Analysis in Privacy Protection with Large Language Models: A Study on Privacy Preferences with Limited Data
by: Yang, Haowei, et al.
Published: (2025)

Advancing Financial Risk Prediction Through Optimized LSTM Model Performance and Comparative Analysis
by: Xu, Ke, et al.
Published: (2024)

Analysis and Design of a Personalized Recommendation System Based on a Dynamic User Interest Model
by: Mao, Chunyan, et al.
Published: (2024)

Enhanced Recommendation Combining Collaborative Filtering and Large Language Models
by: Lin, Xueting, et al.
Published: (2024)

RNA Secondary Structure Prediction Using Transformer-Based Deep Learning Models
by: Zhou, Yanlin, et al.
Published: (2024)

Live or Lie: Action-Aware Capsule Multiple Instance Learning for Risk Assessment in Live Streaming Platforms
by: Qiao, Yiran, et al.
Published: (2026)

Dynamic Forecasting and Temporal Feature Evolution of Stock Repurchases in Listed Companies Using Attention-Based Deep Temporal Networks
by: Ao, Xiang, et al.
Published: (2026)

Diverse Transformer Decoding for Offline Reinforcement Learning Using Financial Algorithmic Approaches
by: Elbaz, Dan, et al.
Published: (2025)

Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning
by: Sani, Numair, et al.
Published: (2020)

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Tensorflow Pretrained Models
by: Chen, Keyu, et al.
Published: (2024)

Predicting Student Dropout Risk With A Dual-Modal Abrupt Behavioral Changes Approach
by: Cheng, Jiabei, et al.
Published: (2025)

Computationally and Memory-Efficient Robust Predictive Analytics Using Big Data
by: Menges, Daniel, et al.
Published: (2024)

XLinear: Frequency-Enhanced MLP with CrossFilter for Robust Long-Range Forecasting
by: Ao, Xiang
Published: (2026)

SDMixer: Sparse Dual-Mixer for Time Series Forecasting
by: Ao, Xiang
Published: (2026)

Financial Risk Assessment via Long-term Payment Behavior Sequence Folding
by: Qiao, Yiran, et al.
Published: (2024)

Risk Horizons: Structured Hypothesis Spaces for Longitudinal Clinical Prediction
by: Qu, Zhan, et al.
Published: (2026)

Research on Key Technologies for Cross-Cloud Federated Training of Large Language Models
by: Yang, Haowei, et al.
Published: (2024)

Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL
by: Luo, Yu, et al.
Published: (2024)

Improving Cardiac Risk Prediction Using Data Generation Techniques
by: Cabodevila, Alexandre, et al.
Published: (2025)

Multi-modal clothing recommendation model based on large model and VAE enhancement
by: Huang, Bingjie, et al.
Published: (2024)

Multimodal Cardiovascular Risk Profiling Using Self-Supervised Learning of Polysomnography
by: He, Zhengxiao, et al.
Published: (2025)

Behavior Backdoor for Deep Learning Models
by: Wang, Jiakai, et al.
Published: (2024)

Meta-Learning Reinforcement Learning for Crypto-Return Prediction
by: Wang, Junqiao, et al.
Published: (2025)

A Neural Matrix Decomposition Recommender System Model based on the Multimodal Large Language Model
by: Xiang, Ao, et al.
Published: (2024)

Mitigating LLM Hallucination via Behaviorally Calibrated Reinforcement Learning
by: Wu, Jiayun, et al.
Published: (2025)

RiskLabs: Predicting Financial Risk Using Large Language Model based on Multimodal and Multi-Sources Data
by: Cao, Yupeng, et al.
Published: (2024)

Graph Neural Network Framework for Sentiment Analysis Using Syntactic Feature
by: Wu, Linxiao, et al.
Published: (2024)

Learning to Conceal Risk: Controllable Multi-turn Red Teaming for LLMs in the Financial Domain
by: Cheng, Gang, et al.
Published: (2025)

GPU-Accelerated Deep Learning for Heatwave Prediction and Urban Heat Risk Assessment
by: Alihodžić, Adis
Published: (2026)

Towards Personalised Patient Risk Prediction Using Temporal Hospital Data Trajectories
by: Barnes, Thea, et al.
Published: (2024)

Research on Edge Detection of LiDAR Images Based on Artificial Intelligence Technology
by: Yang, Haowei, et al.
Published: (2024)

Renewable Energy Prediction: A Comparative Study of Deep Learning Models for Complex Dataset Analysis
by: Wang, Haibo, et al.
Published: (2025)

IRIS: Implicit Reward-Guided Internal Sifting for Mitigating Multimodal Hallucination
by: Li, Yuanshuai, et al.
Published: (2026)

Domain-Generalization to Improve Learning in Meta-Learning Algorithms
by: Anjum, Usman, et al.
Published: (2025)

Big Cooperative Learning
by: Cong, Yulai
Published: (2024)

LRT-Diffusion: Calibrated Risk-Aware Guidance for Diffusion Policies
by: Sun, Ximan, et al.
Published: (2025)