Saved in:
| Main Authors: | Borah, Jintu, Chakraborty, Tanujit, Nadzir, Md. Shahrul Md., Cayetano, Mylene G., Majumdar, Shubhankar |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2404.05482 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Deep Generative Spatiotemporal Engression for Probabilistic Forecasting of Epidemics
by: Pathak, Rajdeep, et al.
Published: (2026)
by: Pathak, Rajdeep, et al.
Published: (2026)
Graph Convolutional Support Vector Regression for Robust Spatiotemporal Forecasting of Urban Air Pollution
by: Jahan, Nourin, et al.
Published: (2026)
by: Jahan, Nourin, et al.
Published: (2026)
Skew-Probabilistic Neural Networks for Learning from Imbalanced Data
by: Naik, Shraddha M., et al.
Published: (2023)
by: Naik, Shraddha M., et al.
Published: (2023)
EnTransformer: A Deep Generative Transformer for Multivariate Probabilistic Forecasting
by: Pathak, Rajdeep, et al.
Published: (2026)
by: Pathak, Rajdeep, et al.
Published: (2026)
Macroeconomic Forecasting for the G7 countries under Uncertainty Shocks
by: Sengupta, Shovon, et al.
Published: (2025)
by: Sengupta, Shovon, et al.
Published: (2025)
Bayesian Transformer for Probabilistic Load Forecasting in Smart Grids
by: Debnath, Sajib, et al.
Published: (2026)
by: Debnath, Sajib, et al.
Published: (2026)
EpiCastBench: Datasets and Benchmarks for Multivariate Epidemic Forecasting
by: Panja, Madhurima, et al.
Published: (2026)
by: Panja, Madhurima, et al.
Published: (2026)
Lightweight ML-Based Air Quality Prediction for IoT and Embedded Applications
by: Sami, Md. Sad Abdullah, et al.
Published: (2025)
by: Sami, Md. Sad Abdullah, et al.
Published: (2025)
Thompson sampling for zero-inflated count outcomes with an application to the Drink Less mobile health study
by: Liu, Xueqing, et al.
Published: (2023)
by: Liu, Xueqing, et al.
Published: (2023)
Spatiotemporal Forecasting of Traffic Flow using Wavelet-based Temporal Attention
by: Jakhmola, Yash, et al.
Published: (2024)
by: Jakhmola, Yash, et al.
Published: (2024)
When Geoscience Meets Generative AI and Large Language Models: Foundations, Trends, and Future Challenges
by: Hadid, Abdenour, et al.
Published: (2024)
by: Hadid, Abdenour, et al.
Published: (2024)
Turning Time Series into Algebraic Equations: Symbolic Machine Learning for Interpretable Modeling of Chaotic Time Series
by: Panja, Madhurima, et al.
Published: (2026)
by: Panja, Madhurima, et al.
Published: (2026)
Salt-Rock Creep Deformation Forecasting Using Deep Neural Networks and Analytical Models for Subsurface Energy Storage Applications
by: Shukla, Pradeep Kumar, et al.
Published: (2025)
by: Shukla, Pradeep Kumar, et al.
Published: (2025)
Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreak
by: Barman, Madhab, et al.
Published: (2025)
by: Barman, Madhab, et al.
Published: (2025)
Neural ARFIMA model for forecasting BRIC exchange rates with long memory
by: Chakraborty, Tanujit, et al.
Published: (2025)
by: Chakraborty, Tanujit, et al.
Published: (2025)
Embedding-based classifiers can detect prompt injection attacks
by: Ayub, Md. Ahsan, et al.
Published: (2024)
by: Ayub, Md. Ahsan, et al.
Published: (2024)
Breaking the Regional Barrier: Inductive Semantic Topology Learning for Worldwide Air Quality Forecasting
by: Cui, Zhiqing, et al.
Published: (2026)
by: Cui, Zhiqing, et al.
Published: (2026)
Boosting Predictive Performance on Tabular Data through Data Augmentation with Latent-Space Flow-Based Diffusion
by: Ihsan, Md. Tawfique, et al.
Published: (2025)
by: Ihsan, Md. Tawfique, et al.
Published: (2025)
Demystifying the trend of the healthcare index: Is historical price a key driver?
by: Sadhukhan, Payel, et al.
Published: (2026)
by: Sadhukhan, Payel, et al.
Published: (2026)
E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting
by: Panja, Madhurima, et al.
Published: (2024)
by: Panja, Madhurima, et al.
Published: (2024)
Probabilistic Forecasting of Climate Policy Uncertainty: The Role of Macro-financial Variables and Google Search Data
by: Besher, Donia, et al.
Published: (2025)
by: Besher, Donia, et al.
Published: (2025)
MCDFN: Supply Chain Demand Forecasting via an Explainable Multi-Channel Data Fusion Network Model
by: Jahin, Md Abrar, et al.
Published: (2024)
by: Jahin, Md Abrar, et al.
Published: (2024)
Comparative Evaluation of Weather Forecasting using Machine Learning Models
by: Rahman, Md Saydur, et al.
Published: (2024)
by: Rahman, Md Saydur, et al.
Published: (2024)
Cryptocurrency Price Forecasting Using Machine Learning: Building Intelligent Financial Prediction Models
by: Islam, Md Zahidul, et al.
Published: (2025)
by: Islam, Md Zahidul, et al.
Published: (2025)
Big Data$\unicode{x2013}$Supply Chain Management Framework for Forecasting: Data Preprocessing and Machine Learning Techniques
by: Jahin, Md Abrar, et al.
Published: (2023)
by: Jahin, Md Abrar, et al.
Published: (2023)
Efficient Generative AI Boosts Probabilistic Forecasting of Sudden Stratospheric Warmings
by: Tao, Ningning, et al.
Published: (2025)
by: Tao, Ningning, et al.
Published: (2025)
A Causality-Aware Spatiotemporal Model for Multi-Region and Multi-Pollutant Air Quality Forecasting
by: Lu, Junxin, et al.
Published: (2025)
by: Lu, Junxin, et al.
Published: (2025)
How does the Performance of the Data-driven Traffic Flow Forecasting Models deteriorate with Increasing Forecasting Horizon? An Extensive Approach Considering Statistical, Machine Learning and Deep Learning Models
by: Sherfenaz, Amanta, et al.
Published: (2025)
by: Sherfenaz, Amanta, et al.
Published: (2025)
Green-NAS: A Global-Scale Multi-Objective Neural Architecture Search for Robust and Efficient Edge-Native Weather Forecasting
by: Fahim, Md Muhtasim Munif, et al.
Published: (2026)
by: Fahim, Md Muhtasim Munif, et al.
Published: (2026)
LeMo-NADe: Multi-Parameter Neural Architecture Discovery with LLMs
by: Rahman, Md Hafizur, et al.
Published: (2024)
by: Rahman, Md Hafizur, et al.
Published: (2024)
UPLME: Uncertainty-Aware Probabilistic Language Modelling for Robust Empathy Regression
by: Hasan, Md Rakibul, et al.
Published: (2025)
by: Hasan, Md Rakibul, et al.
Published: (2025)
Indoor Air Quality Dataset with Activities of Daily Living in Low to Middle-income Communities
by: Karmakar, Prasenjit, et al.
Published: (2024)
by: Karmakar, Prasenjit, et al.
Published: (2024)
Ontology-Based Knowledge Modeling and Uncertainty-Aware Outdoor Air Quality Assessment Using Weighted Interval Type-2 Fuzzy Logic
by: Inzmam, Md, et al.
Published: (2026)
by: Inzmam, Md, et al.
Published: (2026)
AirDDE: Multifactor Neural Delay Differential Equations for Air Quality Forecasting
by: Wu, Binqing, et al.
Published: (2026)
by: Wu, Binqing, et al.
Published: (2026)
EmissionNet: Air Quality Pollution Forecasting for Agriculture
by: Saligram, Prady, et al.
Published: (2025)
by: Saligram, Prady, et al.
Published: (2025)
HighAir: A Hierarchical Graph Neural Network-Based Air Quality Forecasting Method
by: Chen, Ling, et al.
Published: (2021)
by: Chen, Ling, et al.
Published: (2021)
Forecasting Antimicrobial Resistance Trends Using Machine Learning on WHO GLASS Surveillance Data: A Retrieval-Augmented Generation Approach for Policy Decision Support
by: Turja, Md Tanvir Hasan
Published: (2026)
by: Turja, Md Tanvir Hasan
Published: (2026)
Zero-Inflated Tweedie Boosted Trees with CatBoost for Insurance Loss Analytics
by: So, Banghee, et al.
Published: (2024)
by: So, Banghee, et al.
Published: (2024)
Multivariate Forecasting of Bitcoin Volatility with Gradient Boosting: Deterministic, Probabilistic, and Feature Importance Perspectives
by: Dudek, Grzegorz, et al.
Published: (2025)
by: Dudek, Grzegorz, 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)
Similar Items
-
Deep Generative Spatiotemporal Engression for Probabilistic Forecasting of Epidemics
by: Pathak, Rajdeep, et al.
Published: (2026) -
Graph Convolutional Support Vector Regression for Robust Spatiotemporal Forecasting of Urban Air Pollution
by: Jahan, Nourin, et al.
Published: (2026) -
Skew-Probabilistic Neural Networks for Learning from Imbalanced Data
by: Naik, Shraddha M., et al.
Published: (2023) -
EnTransformer: A Deep Generative Transformer for Multivariate Probabilistic Forecasting
by: Pathak, Rajdeep, et al.
Published: (2026) -
Macroeconomic Forecasting for the G7 countries under Uncertainty Shocks
by: Sengupta, Shovon, et al.
Published: (2025)