Cover Image

EpiCastBench: Datasets and Benchmarks for Multivariate Epidemic Forecasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Panja, Madhurima, D'Agostino, Danny, Li, Huitao, Chakraborty, Tanujit, Liu, Nan
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Databases Quantitative Methods
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreak
by: Barman, Madhab, et al.
Published: (2025)

CurateGPT: A flexible language-model assisted biocuration tool
by: Caufield, Harry, et al.
Published: (2024)

Enabling Down Syndrome Research through a Knowledge Graph-Driven Analytical Framework
by: Krishnamurthy, Madan, et al.
Published: (2025)

NovoBench: Benchmarking Deep Learning-based De Novo Peptide Sequencing Methods in Proteomics
by: Zhou, Jingbo, et al.
Published: (2024)

BixBench: a Comprehensive Benchmark for LLM-based Agents in Computational Biology
by: Mitchener, Ludovico, et al.
Published: (2025)

EnTransformer: A Deep Generative Transformer for Multivariate Probabilistic Forecasting
by: Pathak, Rajdeep, et al.
Published: (2026)

ERDES: A Benchmark Video Dataset for Retinal Detachment and Macular Status Classification in Ocular Ultrasound
by: Ozkut, Yasemin, et al.
Published: (2025)

AssayBench: An Assay-Level Virtual Cell Benchmark for LLMs and Agents
by: De Brouwer, Edward, et al.
Published: (2026)

Mantis: A Foundation Model for Mechanistic Disease Forecasting
by: Dudley, Carson, et al.
Published: (2025)

Open Biomedical Knowledge Graphs at Scale: Construction, Federation, and AI Agent Access with Samyama Graph Database
by: Mandarapu, Madhulatha, et al.
Published: (2026)

BOLD v4: A Centralized Bioinformatics Platform for DNA-based Biodiversity Data
by: Ratnasingham, Sujeevan, et al.
Published: (2024)

Efficient Identification of High Similarity Clusters in Polygon Datasets
by: Daras, John N.
Published: (2025)

Prostate-VarBench: A Benchmark with Interpretable TabNet Framework for Prostate Cancer Variant Classification
by: Tavara, Abraham Francisco Arellano, et al.
Published: (2025)

Identifying Cocoa Pollinators: A Deep Learning Dataset
by: Xu, Wenxiu, et al.
Published: (2024)

A drug classification pipeline for Medicaid claims using RxNorm
by: Williams, Nicholas, et al.
Published: (2024)

RNA-KG v2.0: An RNA-centered Knowledge Graph with Properties
by: Cavalleri, Emanuele, et al.
Published: (2025)

DBgDel: Database-Enhanced Gene Deletion Framework for Growth-Coupled Production in Genome-Scale Metabolic Models
by: Yang, Ziwei, et al.
Published: (2024)

BioBricks.ai: A Versioned Data Registry for Life Sciences Data Assets
by: Gao, Yifan, et al.
Published: (2024)

Integrated data-driven biotechnology research environments
by: Moreddu, Rosalia
Published: (2025)

Benchmarking Preprocessing and Integration Methods in Single-Cell Genomics
by: Anaissi, Ali, et al.
Published: (2026)

ViroGym: Realistic Large-Scale Benchmarks for Evaluating Viral Proteins
by: Zhou, Yichen, et al.
Published: (2026)

ToxReason: A Benchmark for Mechanistic Chemical Toxicity Reasoning via Adverse Outcome Pathway
by: Park, Jueon, et al.
Published: (2026)

FGBench: A Dataset and Benchmark for Molecular Property Reasoning at Functional Group-Level in Large Language Models
by: Liu, Xuan, et al.
Published: (2025)

XAI-Driven Deep Learning for Protein Sequence Functional Group Classification
by: Chakraborty, Pratik, et al.
Published: (2025)

Resolving the bias-precision paradox with stochastic causal representation learning for personalized medicine
by: Zhang, Peisong, et al.
Published: (2026)

A PBN-RL-XAI Framework for Discovering a "Hit-and-Run" Therapeutic Strategy in Melanoma
by: Liu, Zhonglin
Published: (2025)

Structural and Practical Identifiability of Phenomenological Growth Models for Epidemic Forecasting
by: Liyanage, Yuganthi R., et al.
Published: (2025)

Attention Networks for Personalized Mealtime Insulin Dosing in People with Type 1 Diabetes
by: Fathi, Anas El, et al.
Published: (2024)

Test-time Adaptation for Foundation Medical Segmentation Model without Parametric Updates
by: Chen, Kecheng, et al.
Published: (2025)

tcrLM: a lightweight protein language model for predicting T cell receptor and epitope binding specificity
by: Fang, Xing, et al.
Published: (2024)

Protein Structure Tokenization via Geometric Byte Pair Encoding
by: Sun, Michael, et al.
Published: (2025)

UMMAN: Unsupervised Multi-graph Merge Adversarial Network for Disease Prediction Based on Intestinal Flora
by: Liu, Dingkun, et al.
Published: (2024)

Data-driven multi-agent modelling of calcium interactions in cell culture: PINN vs Regularized Least-squares
by: Poggi, Aurora, et al.
Published: (2025)

Learning the Interaction Prior for Protein-Protein Interaction Prediction: A Model-Agnostic Approach
by: Gao, Ziqi, et al.
Published: (2026)

Decoding Translation-Related Functional Sequences in 5'UTRs Using Interpretable Deep Learning Models
by: Lin, Yuxi, et al.
Published: (2025)

Decoding Drug Discovery: Exploring A-to-Z In silico Methods for Beginners
by: Rasul, Hezha O., et al.
Published: (2024)

Integrating Deep Learning and Synthetic Biology: A Co-Design Approach for Enhancing Gene Expression via N-terminal Coding Sequences
by: Yan, Zhanglu, et al.
Published: (2024)

An Uncertainty-Aware Dynamic Decision Framework for Progressive Multi-Omics Integration in Classification Tasks
by: Mu, Nan, et al.
Published: (2025)

A Fine-tuning Dataset and Benchmark for Large Language Models for Protein Understanding
by: Shen, Yiqing, et al.
Published: (2024)

ChemAU: Harness the Reasoning of LLMs in Chemical Research with Adaptive Uncertainty Estimation
by: Liu, Xinyi, et al.
Published: (2025)