:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Vuong, An, Gauch, Susan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2510.03633
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

From Bias to Balance: Fairness-Aware Paper Recommendation for Equitable Peer Review
by: Oyshi, Uttamasha Anjally, et al.
Published: (2026)

Multimodal Stock Price Prediction
by: Karadaş, Furkan, et al.
Published: (2025)

CSPO: Cross-Market Synergistic Stock Price Movement Forecasting with Pseudo-volatility Optimization
by: Lin, Sida, et al.
Published: (2025)

Predicting Stock Prices with FinBERT-LSTM: Integrating News Sentiment Analysis
by: Gu, Wenjun, et al.
Published: (2024)

Contextual Quantum Neural Networks for Stock Price Prediction
by: Mourya, Sharan, et al.
Published: (2025)

Predicting Stock Movement with BERTweet and Transformers
by: Albada, Michael Charles, et al.
Published: (2025)

A Multisource Fusion Framework for Cryptocurrency Price Movement Prediction
by: Dashtaki, Saeed Mohammadi, et al.
Published: (2024)

Causally Fair Node Classification on Non-IID Graph Data
by: Dai, Yucong, et al.
Published: (2025)

Stock Market Price Prediction using Neural Prophet with Deep Neural Network
by: Chhibber, Navin, et al.
Published: (2026)

Generalized Stock Price Prediction for Multiple Stocks Combined with News Fusion
by: Liao, Pei-Jun, et al.
Published: (2026)

Stock Market Price Prediction: A Hybrid LSTM and Sequential Self-Attention based Approach
by: Pardeshi, Karan, et al.
Published: (2023)

Stock Price Prediction using Multi-Faceted Information based on Deep Recurrent Neural Networks
by: Shahbandari, Lida, et al.
Published: (2024)

Code-Mix Sentiment Analysis on Hinglish Tweets
by: Garg, Aashi, et al.
Published: (2026)

Enhancing Bagging Ensemble Regression with Data Integration for Time Series-Based Diabetes Prediction
by: Ngo, Vuong M., et al.
Published: (2025)

Stock Price Prediction Using a Hybrid LSTM-GNN Model: Integrating Time-Series and Graph-Based Analysis
by: Sonani, Meet Satishbhai, et al.
Published: (2025)

MiMIC: Multi-Modal Indian Earnings Calls Dataset to Predict Stock Prices
by: Ghosh, Sohom, et al.
Published: (2025)

CausalStock: Deep End-to-end Causal Discovery for News-driven Stock Movement Prediction
by: Li, Shuqi, et al.
Published: (2024)

An Enhanced Dual Transformer Contrastive Network for Multimodal Sentiment Analysis
by: Dao, Phuong Q., et al.
Published: (2025)

Leveraging Fundamental Analysis for Stock Trend Prediction for Profit
by: Phan, John, et al.
Published: (2024)

StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction
by: Wang, Shengkun, et al.
Published: (2024)

A Stock Price Prediction Approach Based on Time Series Decomposition and Multi-Scale CNN using OHLCT Images
by: Pei, Zhiyuan, et al.
Published: (2024)

Adaptive Regime-Aware Stock Price Prediction Using Autoencoder-Gated Dual Node Transformers with Reinforcement Learning Control
by: Ridhawi, Mohammad Al, et al.
Published: (2026)

Harnessing Earnings Reports for Stock Predictions: A QLoRA-Enhanced LLM Approach
by: Ni, Haowei, et al.
Published: (2024)

Interpretable Deep Learning for Stock Returns: A Consensus-Bottleneck Asset Pricing Model
by: Kim, Changeun, et al.
Published: (2025)

OmniMER: Auxiliary-Enhanced LLM Adaptation for Indonesian Multimodal Emotion Recognition
by: Yan, Xueming, et al.
Published: (2025)

Stock Market Prediction Using Node Transformer Architecture Integrated with BERT Sentiment Analysis
by: Ridhawi, Mohammad Al, et al.
Published: (2026)

Mining Tweets to Predict Future Bitcoin Price
by: Hathidara, Ashutosh, et al.
Published: (2024)

The Price of Agreement: Measuring LLM Sycophancy in Agentic Financial Applications
by: Zhao, Zhenyu, et al.
Published: (2026)

Enhancing Price Prediction in Cryptocurrency Using Transformer Neural Network and Technical Indicators
by: Khaniki, Mohammad Ali Labbaf, et al.
Published: (2024)

StockMem: An Event-Reflection Memory Framework for Stock Forecasting
by: Wang, He, et al.
Published: (2025)

Comparative Study of Long Short-Term Memory (LSTM) and Quantum Long Short-Term Memory (QLSTM): Prediction of Stock Market Movement
by: Mahmood, Tariq, et al.
Published: (2024)

Stock Movement Prediction with Multimodal Stable Fusion via Gated Cross-Attention Mechanism
by: Zong, Chang, et al.
Published: (2024)

Adaptive Online Learning with LSTM Networks for Energy Price Prediction
by: Salihoglu, Salih, et al.
Published: (2025)

Impact of LLMs news Sentiment Analysis on Stock Price Movement Prediction
by: Siala, Walid, et al.
Published: (2026)

FastMTP: Accelerating LLM Inference with Enhanced Multi-Token Prediction
by: Cai, Yuxuan, et al.
Published: (2025)

Hidformer: Transformer-Style Neural Network in Stock Price Forecasting
by: Szydłowski, Kamil Ł., et al.
Published: (2024)

EF-LLM: Energy Forecasting LLM with AI-assisted Automation, Enhanced Sparse Prediction, Hallucination Detection
by: Qiu, Zihang, et al.
Published: (2024)

LLM-Powered Prediction of Hyperglycemia and Discovery of Behavioral Treatment Pathways from Wearables and Diet
by: Mamun, Abdullah, et al.
Published: (2025)

Innovative Sentiment Analysis and Prediction of Stock Price Using FinBERT, GPT-4 and Logistic Regression: A Data-Driven Approach
by: Shobayo, Olamilekan, et al.
Published: (2024)

Transformer-based approach for Ethereum Price Prediction Using Crosscurrency correlation and Sentiment Analysis
by: Singh, Shubham, et al.
Published: (2024)