:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yao, Yi-chen, Wang, Jerry, Lai, Yi-cheng, Chen, Lyn Chao-ling
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2509.25858
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Semiconductor Industry Trend Prediction with Event Intervention Based on LSTM Model in Sentiment-Enhanced Time Series Data
by: Yen, Wei-hsiang, et al.
Published: (2025)

Forecasting NCAA Basketball Outcomes with Deep Learning: A Comparative Study of LSTM and Transformer Models
by: Habib, Md Imtiaz
Published: (2025)

Transformer Approximations from ReLUs
by: Hu, Jerry Yao-Chieh, et al.
Published: (2026)

TacticExpert: Spatial-Temporal Graph Language Model for Basketball Tactics
by: Lingrui, Xu, et al.
Published: (2025)

Deep Representation Learning for Multi-functional Degradation Modeling of Community-dwelling Aging Population
by: Chen, Suiyao, et al.
Published: (2024)

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

Learning to Ball: Composing Policies for Long-Horizon Basketball Moves
by: Xu, Pei, et al.
Published: (2025)

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

Marine Chlorophyll Prediction and Driver Analysis based on LSTM-RF Hybrid Models
by: Qian, Zhouyao, et al.
Published: (2025)

Decipher the Modality Gap in Multimodal Contrastive Learning: From Convergent Representations to Pairwise Alignment
by: Yi, Lingjie, et al.
Published: (2025)

Improving Clean Accuracy via a Tangent-Space Perspective on Adversarial Training
by: Yi, Bongsoo, et al.
Published: (2024)

Comprehensive Study Of Predictive Maintenance In Industries Using Classification Models And LSTM Model
by: Maheshwari, Saket, et al.
Published: (2024)

Enhancing Molecular Property Predictions by Learning from Bond Modelling and Interactions
by: Liu, Yunqing, et al.
Published: (2026)

Leveraging LSTM for Predictive Modeling of Satellite Clock Bias
by: Bhatt, Ahan, et al.
Published: (2024)

An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction
by: Mustroph, Henryk, et al.
Published: (2025)

BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model
by: Xu, Chenwei, et al.
Published: (2024)

Hybrid SARIMA LSTM Model for Local Weather Forecasting: A Residual Learning Approach for Data Driven Meteorological Prediction
by: Rajeev, Shreyas, et al.
Published: (2026)

Unsupervised Learning Method for the Wave Equation Based on Finite Difference Residual Constraints Loss
by: Feng, Xin, et al.
Published: (2024)

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

On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality
by: Hu, Jerry Yao-Chieh, et al.
Published: (2024)

CLSP-REQA: A Real-Time Quality-Aware Closed-Loop Seizure Prediction Framework with Mamba-BiLSTM and Confidence-Gated Intervention
by: Chen, Mufeng, et al.
Published: (2026)

Improving Traffic Flow Predictions with SGCN-LSTM: A Hybrid Model for Spatial and Temporal Dependencies
by: Cismaru, Alexandru T.
Published: (2024)

A Review of Machine Learning Techniques in Imbalanced Data and Future Trends
by: Jafarigol, Elaheh, et al.
Published: (2023)

Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends
by: Wang, Xinrui, et al.
Published: (2023)

Machine Learning Models for Soil Parameter Prediction Based on Satellite, Weather, Clay and Yield Data
by: Kammerlander, Calvin, et al.
Published: (2025)

Outlier-Efficient Hopfield Layers for Large Transformer-Based Models
by: Hu, Jerry Yao-Chieh, et al.
Published: (2024)

A Hybrid Machine Learning Model for Classifying Gene Mutations in Cancer using LSTM, BiLSTM, CNN, GRU, and GloVe
by: Aburass, Sanad, et al.
Published: (2023)

CNN-LSTM Hybrid Deep Learning Model for Remaining Useful Life Estimation
by: G, Muthukumar, et al.
Published: (2024)

Predicting BWR Criticality with Data-Driven Machine Learning Model
by: Oktavian, Muhammad Rizki, et al.
Published: (2024)

Deep Convolutional Neural Networks on Multiclass Classification of Three-Dimensional Brain Images for Parkinson's Disease Stage Prediction
by: Huang, Guan-Hua, et al.
Published: (2024)

On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis
by: Hu, Jerry Yao-Chieh, et al.
Published: (2024)

Statistical and Machine Learning Models for Predicting Fire and Other Emergency Events
by: Sharma, Dilli Prasad, et al.
Published: (2024)

Explaining Machine Learning Predictive Models through Conditional Expectation Methods
by: Ruiz-España, Silvia, et al.
Published: (2026)

packetLSTM: Dynamic LSTM Framework for Streaming Data with Varying Feature Space
by: Agarwal, Rohit, et al.
Published: (2024)

Harmonic Machine Learning Models are Robust
by: Kersting, Nicholas S., et al.
Published: (2024)

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

A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU
by: Shiri, Farhad Mortezapour, et al.
Published: (2023)

Machine Learning vs Deep Learning: The Generalization Problem
by: Bay, Yong Yi, et al.
Published: (2024)

Climate Downscaling: A Deep-Learning Based Super-resolution Model of Precipitation Data with Attention Block and Skip Connections
by: Chiang, Chia-Hao, et al.
Published: (2024)

Learning Dynamics of Deep Learning -- Force Analysis of Deep Neural Networks
by: Ren, Yi
Published: (2025)