:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Albada, Michael Charles, Sonola, Mojolaoluwa Joshua
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Computational Engineering, Finance, and Science
Online Access:	https://arxiv.org/abs/2503.10957
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting
by: Zhao, Lifan, et al.
Published: (2023)

Transformers with Attentive Federated Aggregation for Time Series Stock Forecasting
by: Thwal, Chu Myaet, et al.
Published: (2024)

Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling
by: Zeng, Liang, et al.
Published: (2021)

Neuroevolution Neural Architecture Search for Evolving RNNs in Stock Return Prediction and Portfolio Trading
by: Lyu, Zimeng, et al.
Published: (2024)

Reinforcement Learning with Maskable Stock Representation for Portfolio Management in Customizable Stock Pools
by: Zhang, Wentao, et al.
Published: (2023)

Revisiting Ensemble Methods for Stock Trading and Crypto Trading Tasks at ACM ICAIF FinRL Contest 2023-2024
by: Holzer, Nikolaus, et al.
Published: (2025)

Financial Assets Dependency Prediction Utilizing Spatiotemporal Patterns
by: Zhu, Haoren, et al.
Published: (2024)

Indian Stock Market Prediction using Augmented Financial Intelligence ML
by: Chauhan, Anishka, et al.
Published: (2024)

MANA-Net: Mitigating Aggregated Sentiment Homogenization with News Weighting for Enhanced Market Prediction
by: Wang, Mengyu, et al.
Published: (2024)

Towards Universal Mesh Movement Networks
by: Zhang, Mingrui, et al.
Published: (2024)

LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction
by: Wang, Meiyun, et al.
Published: (2024)

Bubbleformer: Forecasting Boiling with Transformers
by: Hassan, Sheikh Md Shakeel, et al.
Published: (2025)

Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHRs
by: Wornow, Michael, et al.
Published: (2024)

Bitcoin Price Prediction using Machine Learning and Combinatorial Fusion Analysis
by: Wu, Yuanhong, et al.
Published: (2026)

Predicting Stock Price Movement as an Image Classification Problem
by: Steinbacher, Matej
Published: (2023)

S&P 500 Stock's Movement Prediction using CNN
by: Gupta, Rahul
Published: (2025)

Off-the-Shelf Neural Network Architectures for Forex Time Series Prediction come at a Cost
by: Zafeiriou, Theodoros, et al.
Published: (2024)

Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer
by: Yu, Youn-Yeol, et al.
Published: (2023)

Topic Modeling and Link-Prediction for Material Property Discovery
by: Barron, Ryan C., et al.
Published: (2025)

LendNova: Towards Automated Credit Risk Assessment with Language Models
by: Shamsi, Kiarash, et al.
Published: (2026)

Graph Transformers for inverse physics: reconstructing flows around arbitrary 2D airfoils
by: Duthé, Gregory, et al.
Published: (2025)

Efficient Training of Transformers for Molecule Property Prediction on Small-scale Datasets
by: Prakash, Shivesh
Published: (2024)

Unveiling Discrete Clues: Superior Healthcare Predictions for Rare Diseases
by: Zhao, Chuang, et al.
Published: (2025)

Instructor-inspired Machine Learning for Robust Molecular Property Prediction
by: Wu, Fang, et al.
Published: (2023)

MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction
by: Shu, Zishan, et al.
Published: (2025)

BatGPT-Chem: A Foundation Large Model For Retrosynthesis Prediction
by: Yang, Yifei, et al.
Published: (2024)

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction
by: Ding, Fan, et al.
Published: (2025)

CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction
by: Sepehri, Mohammad Shahab, et al.
Published: (2025)

FutureX-Pro: Extending Future Prediction to High-Value Vertical Domains
by: Liu, Jiashuo, et al.
Published: (2026)

Reinforced Symbolic Learning with Logical Constraints for Predicting Turbine Blade Fatigue Life
by: Li, Pei, et al.
Published: (2024)

Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction
by: Zhang, Zeyang, et al.
Published: (2023)

DeepFEA: Deep Learning for Prediction of Transient Finite Element Analysis Solutions
by: Triantafyllou, Georgios, et al.
Published: (2024)

LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery
by: Ma, Pingchuan, et al.
Published: (2024)

Physics-Inspired Spatial Temporal Graph Neural Networks for Predicting Industrial Chain Resilience
by: Wang, Bicheng, et al.
Published: (2025)

Flexible Parallel Neural Network Architecture Model for Early Prediction of Lithium Battery Life
by: Jiang, Lidang, et al.
Published: (2024)

Lean 5.0: A Predictive, Human-AI, and Ethically Grounded Paradigm for Construction Management
by: Khoshkonesh, Atena, et al.
Published: (2025)