Saved in:
| Main Authors: | Das, Agniva, Muralidharan, Kunnummal |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2405.11213 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Alternate Groundwater Modelling Strategies: A Multi-Faceted Data-Driven Approach
by: K., Muralidharan, et al.
Published: (2025)
by: K., Muralidharan, et al.
Published: (2025)
A Time-Scaled ETAS Model for Earthquake Forecasting
by: Das, Agniva, et al.
Published: (2025)
by: Das, Agniva, et al.
Published: (2025)
Auditing the Fairness of the US COVID-19 Forecast Hub's Case Prediction Models
by: Abrar, Saad Mohammad, et al.
Published: (2024)
by: Abrar, Saad Mohammad, et al.
Published: (2024)
Wavelet-SARIMA-Transformer: A Hybrid Model for Rainfall Forecasting
by: Saikia, Junmoni, et al.
Published: (2025)
by: Saikia, Junmoni, et al.
Published: (2025)
Hybrid Probabilistic Forecasting of Under-Five Malaria Admissions in Ghana: A Gaussian Process Regression with Holt-Winters Smoothing
by: Ansah-Narh, T., et al.
Published: (2026)
by: Ansah-Narh, T., et al.
Published: (2026)
mshw, a forecasting library to predict short-term electricity demand based on multiple seasonal Holt-Winters
by: Trull, Oscar, et al.
Published: (2024)
by: Trull, Oscar, et al.
Published: (2024)
Assessing the Operational Viability of Foundation Models for Time Series Forecasting
by: Soni, Kavin, et al.
Published: (2026)
by: Soni, Kavin, et al.
Published: (2026)
pared: Model selection using multi-objective optimization
by: Das, Priyam, et al.
Published: (2025)
by: Das, Priyam, et al.
Published: (2025)
Hybrid Adaptive Conformal Offline Reinforcement Learning for Fair Population Health Management
by: Basu, Sanjay, et al.
Published: (2025)
by: Basu, Sanjay, et al.
Published: (2025)
Monitoring Machine Learning Forecasts for Platform Data Streams
by: Rombouts, Jeroen, et al.
Published: (2024)
by: Rombouts, Jeroen, et al.
Published: (2024)
Dispersion based Recurrent Neural Network Model for Methane Monitoring in Albertan Tailings Ponds
by: Saha, Esha, et al.
Published: (2024)
by: Saha, Esha, et al.
Published: (2024)
AutoML Algorithms for Online Generalized Additive Model Selection: Application to Electricity Demand Forecasting
by: Das, Keshav, et al.
Published: (2025)
by: Das, Keshav, et al.
Published: (2025)
TinyBayes: Closed-Form Bayesian Inference via Jacobi Prior for Real-Time Image Classification on Edge Devices
by: Sardar, Shouvik, et al.
Published: (2026)
by: Sardar, Shouvik, et al.
Published: (2026)
Deep Autocorrelation Modeling for Time-Series Forecasting: Progress and Prospects
by: Wang, Hao, et al.
Published: (2026)
by: Wang, Hao, et al.
Published: (2026)
Analysis of ELSA COVID-19 Substudy response rate using machine learning algorithms
by: Qazvini, Marjan
Published: (2024)
by: Qazvini, Marjan
Published: (2024)
Using Geographic Location-based Public Health Features in Survival Analysis
by: Seidi, Navid, et al.
Published: (2023)
by: Seidi, Navid, et al.
Published: (2023)
Demand Forecasting for Platelet Usage: from Univariate Time Series to Multivariate Models
by: Motamedi, Maryam, et al.
Published: (2021)
by: Motamedi, Maryam, et al.
Published: (2021)
Advance Real-time Detection of Traffic Incidents in Highways using Vehicle Trajectory Data
by: Roy, Sudipta, et al.
Published: (2024)
by: Roy, Sudipta, et al.
Published: (2024)
Informed Forecasting: Leveraging Auxiliary Knowledge to Boost LLM Performance on Time Series Forecasting
by: Ghasemloo, Mohammadmahdi, et al.
Published: (2025)
by: Ghasemloo, Mohammadmahdi, et al.
Published: (2025)
Pandemic model with data-driven phase detection, a study using COVID-19 data
by: Liu, Yuansan, et al.
Published: (2021)
by: Liu, Yuansan, et al.
Published: (2021)
Boosting with copula-based components
by: Brant, Simon Boge, et al.
Published: (2022)
by: Brant, Simon Boge, et al.
Published: (2022)
Forecasting Monthly Residential Natural Gas Demand Using Just-In-Time-Learning Modeling
by: Alakent, Burak, et al.
Published: (2025)
by: Alakent, Burak, et al.
Published: (2025)
FoReco and FoRecoML: A Unified Toolbox for Forecast Reconciliation in R
by: Girolimetto, Daniele, et al.
Published: (2026)
by: Girolimetto, Daniele, et al.
Published: (2026)
Geographic ratemaking with spatial embeddings
by: Blier-Wong, Christopher, et al.
Published: (2021)
by: Blier-Wong, Christopher, et al.
Published: (2021)
Enhancing Project Performance Forecasting using Machine Learning Techniques
by: Sadeghi, Soheila
Published: (2024)
by: Sadeghi, Soheila
Published: (2024)
Structured Learning in Time-dependent Cox Models
by: Wang, Guanbo, et al.
Published: (2023)
by: Wang, Guanbo, et al.
Published: (2023)
Copula Conformal Prediction for Multi-step Time Series Forecasting
by: Sun, Sophia, et al.
Published: (2022)
by: Sun, Sophia, et al.
Published: (2022)
Using Twitter Data to Understand Public Perceptions of Approved versus Off-label Use for COVID-19-related Medications
by: Hua, Yining, et al.
Published: (2022)
by: Hua, Yining, et al.
Published: (2022)
Active Region-based Flare Forecasting with Sliding Window Multivariate Time Series Forest Classifiers
by: Ji, Anli, et al.
Published: (2024)
by: Ji, Anli, et al.
Published: (2024)
Massimo: Public Queue Monitoring and Management using Mass-Spring Model
by: Kumar, Abhijeet, et al.
Published: (2024)
by: Kumar, Abhijeet, et al.
Published: (2024)
Reliable and Efficient Amortized Model-based Evaluation
by: Truong, Sang, et al.
Published: (2025)
by: Truong, Sang, et al.
Published: (2025)
Feasibility-Guided Fair Adaptive Offline Reinforcement Learning for Medicaid Care Management
by: Basu, Sanjay, et al.
Published: (2025)
by: Basu, Sanjay, et al.
Published: (2025)
Deep Switching State Space Model (DS$^3$M) for Nonlinear Time Series Forecasting with Regime Switching
by: Xu, Xiuqin, et al.
Published: (2021)
by: Xu, Xiuqin, et al.
Published: (2021)
Ground-Level Near Real-Time Modeling for PM2.5 Pollution Prediction
by: Fox, Zachary R., et al.
Published: (2026)
by: Fox, Zachary R., et al.
Published: (2026)
RestoreAI -- Pattern-based Risk Estimation Of Remaining Explosives
by: Kischelewski, Björn, et al.
Published: (2025)
by: Kischelewski, Björn, et al.
Published: (2025)
Fair Model-based Clustering
by: Park, Jinwon, et al.
Published: (2026)
by: Park, Jinwon, et al.
Published: (2026)
Auto-Regressive Moving Diffusion Models for Time Series Forecasting
by: Gao, Jiaxin, et al.
Published: (2024)
by: Gao, Jiaxin, et al.
Published: (2024)
Development and Validation of a Dynamic Kidney Failure Prediction Model based on Deep Learning: A Real-World Study with External Validation
by: Ma, Jingying, et al.
Published: (2025)
by: Ma, Jingying, et al.
Published: (2025)
Transfer Learning using 66 Diseases for Disease Forecasting Applications
by: Beesley, Lauren J, et al.
Published: (2026)
by: Beesley, Lauren J, et al.
Published: (2026)
A Design-based Solution for Causal Inference with Text: Can a Language Model Be Too Large?
by: Tierney, Graham, et al.
Published: (2025)
by: Tierney, Graham, et al.
Published: (2025)
Similar Items
-
Alternate Groundwater Modelling Strategies: A Multi-Faceted Data-Driven Approach
by: K., Muralidharan, et al.
Published: (2025) -
A Time-Scaled ETAS Model for Earthquake Forecasting
by: Das, Agniva, et al.
Published: (2025) -
Auditing the Fairness of the US COVID-19 Forecast Hub's Case Prediction Models
by: Abrar, Saad Mohammad, et al.
Published: (2024) -
Wavelet-SARIMA-Transformer: A Hybrid Model for Rainfall Forecasting
by: Saikia, Junmoni, et al.
Published: (2025) -
Hybrid Probabilistic Forecasting of Under-Five Malaria Admissions in Ghana: A Gaussian Process Regression with Holt-Winters Smoothing
by: Ansah-Narh, T., et al.
Published: (2026)