Saved in:
| Main Authors: | Agaal, Asma, Essgaer, Mansour, Farkash, Hend M., Othman, Zulaiha Ali |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.01034 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Robust Decision Making with Partially Calibrated Forecasts
by: Kiyani, Shayan, et al.
Published: (2025)
by: Kiyani, Shayan, et al.
Published: (2025)
Enhancing Spatiotemporal Networks with xLSTM: A Scalar LSTM Approach for Cellular Traffic Forecasting
by: Ali, Khalid, et al.
Published: (2025)
by: Ali, Khalid, et al.
Published: (2025)
Integrating Spatiotemporal Features in LSTM for Spatially Informed COVID-19 Hospitalization Forecasting
by: Wang, Zhongying, et al.
Published: (2025)
by: Wang, Zhongying, et al.
Published: (2025)
OMGPT: A Sequence Modeling Framework for Data-driven Operational Decision Making
by: Wang, Hanzhao, et al.
Published: (2025)
by: Wang, Hanzhao, et al.
Published: (2025)
Network Level Spatial Temporal Traffic State Forecasting with Hierarchical-Attention-LSTM (HierAttnLSTM)
by: Zhang, Tianya
Published: (2022)
by: Zhang, Tianya
Published: (2022)
Membership Inference Attacks Against Time-Series Models
by: Koren, Noam, et al.
Published: (2024)
by: Koren, Noam, et al.
Published: (2024)
ComMer: a Framework for Compressing and Merging User Data for Personalization
by: Zeldes, Yoel, et al.
Published: (2025)
by: Zeldes, Yoel, et al.
Published: (2025)
Leveraging Graph Neural Networks to Forecast Electricity Consumption
by: Campagne, Eloi, et al.
Published: (2024)
by: Campagne, Eloi, et al.
Published: (2024)
Evaluating the effectiveness of predicting covariates in LSTM Networks for Time Series Forecasting
by: Davies, Gareth
Published: (2024)
by: Davies, Gareth
Published: (2024)
WEST GCN-LSTM: Weighted Stacked Spatio-Temporal Graph Neural Networks for Regional Traffic Forecasting
by: Theodoropoulos, Theodoros, et al.
Published: (2024)
by: Theodoropoulos, Theodoros, et al.
Published: (2024)
Optimizing LSTM Neural Networks for Resource-Constrained Retail Sales Forecasting: A Model Compression Study
by: Pagidoju, Ravi Teja
Published: (2026)
by: Pagidoju, Ravi Teja
Published: (2026)
Language Agents for Hypothesis-driven Clinical Decision Making with Reinforcement Learning
by: Bani-Harouni, David, et al.
Published: (2025)
by: Bani-Harouni, David, et al.
Published: (2025)
An Integrated Forecasting Prototype for Emergency Department Boarding Time to Support Proactive Operational Decision Making
by: Vural, Orhun, et al.
Published: (2026)
by: Vural, Orhun, et al.
Published: (2026)
Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting
by: Shao, Chen, et al.
Published: (2025)
by: Shao, Chen, et al.
Published: (2025)
Novel Actor-Critic Algorithm for Robust Decision Making of CAV under Delays and Loss of V2X Data
by: Kherroubi, Zine el abidine
Published: (2024)
by: Kherroubi, Zine el abidine
Published: (2024)
packetLSTM: Dynamic LSTM Framework for Streaming Data with Varying Feature Space
by: Agarwal, Rohit, et al.
Published: (2024)
by: Agarwal, Rohit, et al.
Published: (2024)
Cross-household Transfer Learning Approach with LSTM-based Demand Forecasting
by: Rahal, Manal, et al.
Published: (2026)
by: Rahal, Manal, et al.
Published: (2026)
Attention-Enhanced LSTM Modeling for Improved Temperature and Rainfall Forecasting in Bangladesh
by: Joy, Usman Gani, et al.
Published: (2025)
by: Joy, Usman Gani, et al.
Published: (2025)
xLSTMTime : Long-term Time Series Forecasting With xLSTM
by: Alharthi, Musleh, et al.
Published: (2024)
by: Alharthi, Musleh, et al.
Published: (2024)
Epileptic Seizure Prediction Using Patient-Adaptive Transformer Networks
by: Mahdi, Mohamed, et al.
Published: (2026)
by: Mahdi, Mohamed, et al.
Published: (2026)
Hybrid SARIMA LSTM Model for Local Weather Forecasting: A Residual Learning Approach for Data Driven Meteorological Prediction
by: Rajeev, Shreyas, et al.
Published: (2026)
by: Rajeev, Shreyas, et al.
Published: (2026)
Hidden Leaks in Time Series Forecasting: How Data Leakage Affects LSTM Evaluation Across Configurations and Validation Strategies
by: Albelali, Salma, et al.
Published: (2025)
by: Albelali, Salma, et al.
Published: (2025)
Beyond the Hype: Comparing Lightweight and Deep Learning Models for Air Quality Forecasting
by: Gondal, Moazzam Umer, et al.
Published: (2025)
by: Gondal, Moazzam Umer, et al.
Published: (2025)
APS-LSTM: Exploiting Multi-Periodicity and Diverse Spatial Dependencies for Flood Forecasting
by: Feng, Jun, et al.
Published: (2024)
by: Feng, Jun, et al.
Published: (2024)
Evaluating the Sensitivity of BiLSTM Forecasting Models to Sequence Length and Input Noise
by: Albelali, Salma, et al.
Published: (2025)
by: Albelali, Salma, et al.
Published: (2025)
Dual-Temporal LSTM with Hybrid Attention for Airline Passenger Load Factor Forecasting: Integrating Intra-Flight and Inter-Flight Booking Dynamics
by: Islam, ASM Nazrul, et al.
Published: (2026)
by: Islam, ASM Nazrul, et al.
Published: (2026)
Applying Ensemble Models based on Graph Neural Network and Reinforcement Learning for Wind Power Forecasting
by: Song, Hongjin, et al.
Published: (2025)
by: Song, Hongjin, et al.
Published: (2025)
Does Scaling Law Apply in Time Series Forecasting?
by: Li, Zeyan, et al.
Published: (2025)
by: Li, Zeyan, et al.
Published: (2025)
Exploring Physics-Informed Neural Networks for Crop Yield Loss Forecasting
by: Miranda, Miro, et al.
Published: (2024)
by: Miranda, Miro, et al.
Published: (2024)
What Makes a Good Diffusion Planner for Decision Making?
by: Lu, Haofei, et al.
Published: (2025)
by: Lu, Haofei, et al.
Published: (2025)
Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer
by: Nguyen, Minh Hoang, et al.
Published: (2025)
by: Nguyen, Minh Hoang, et al.
Published: (2025)
Towards Cost Sensitive Decision Making
by: Li, Yang, et al.
Published: (2024)
by: Li, Yang, et al.
Published: (2024)
Conformal Prediction and Human Decision Making
by: Hullman, Jessica, et al.
Published: (2025)
by: Hullman, Jessica, et al.
Published: (2025)
On The Statistical Complexity of Offline Decision-Making
by: Nguyen-Tang, Thanh, et al.
Published: (2025)
by: Nguyen-Tang, Thanh, et al.
Published: (2025)
SEANN: A Domain-Informed Neural Network for Epidemiological Insights
by: Guimbaud, Jean-Baptiste, et al.
Published: (2025)
by: Guimbaud, Jean-Baptiste, et al.
Published: (2025)
Forecasting S&P 500 Using LSTM Models
by: Pilla, Prashant, et al.
Published: (2025)
by: Pilla, Prashant, 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)
by: Habib, Md Imtiaz
Published: (2025)
Is Offline Decision Making Possible with Only Few Samples? Reliable Decisions in Data-Starved Bandits via Trust Region Enhancement
by: Zhang, Ruiqi, et al.
Published: (2024)
by: Zhang, Ruiqi, et al.
Published: (2024)
Decision Transformer vs. Decision Mamba: Analysing the Complexity of Sequential Decision Making in Atari Games
by: Yan, Ke
Published: (2024)
by: Yan, Ke
Published: (2024)
Detection and Forecasting of Parkinson Disease Progression from Speech Signal Features Using MultiLayer Perceptron and LSTM
by: Ali, Majid, et al.
Published: (2024)
by: Ali, Majid, et al.
Published: (2024)
Similar Items
-
Robust Decision Making with Partially Calibrated Forecasts
by: Kiyani, Shayan, et al.
Published: (2025) -
Enhancing Spatiotemporal Networks with xLSTM: A Scalar LSTM Approach for Cellular Traffic Forecasting
by: Ali, Khalid, et al.
Published: (2025) -
Integrating Spatiotemporal Features in LSTM for Spatially Informed COVID-19 Hospitalization Forecasting
by: Wang, Zhongying, et al.
Published: (2025) -
OMGPT: A Sequence Modeling Framework for Data-driven Operational Decision Making
by: Wang, Hanzhao, et al.
Published: (2025) -
Network Level Spatial Temporal Traffic State Forecasting with Hierarchical-Attention-LSTM (HierAttnLSTM)
by: Zhang, Tianya
Published: (2022)