Key papers

• HighAir: A Hierarchical Graph Neural Network-Based Air Quality Forecasting Method (2021)
  Ling Chen et al.
  10.21
• Physics-informed deep learning for infectious disease forecasting (2025)
  Ying Qian et al.
  6.67
• Recovery-Informed Forecasting Strategy Enhancement (2026)
  Feng Li and Taozhu Ruan
  6.24
• Transformer Model for Alzheimer's Disease Progression Prediction Using Longitudinal Visit Sequences (2025)
  Mahdi Moghaddami et al.
  5.76
• Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting (2025)
  Reza Nematirad et al.
  5.59
• TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents (2025)
  Geon Lee et al.
  5.48
• POCO: Scalable Neural Forecasting through Population Conditioning (2025)
  Yu Duan et al.
  5.35
• Integrating Spatiotemporal Features in LSTM for Spatially Informed COVID-19 Hospitalization Forecasting (2025)
  Zhongying Wang et al.
  4.42
• Shape Over Intensity: Directional Topological Encoding for False Positive Reduction in Intracranial Aneurysm Detection (2026)
  Akshay Gokhale et al.
  4.33
• SafeImpute: Reliable Clinical Data Imputation via Conformal Selection (2026)
  Xinrui He et al.
  4.33
• The Large Cancer Assistant (LCA): A Model-Agnostic Orchestration Framework for Scalable Clinical Decision Support in Oncology (2026)
  Ghassen Marrakchi et al.
  4.33
• YUKTI: From Natural-Language Situations to Robust, Verifiable Decisions An Uncertainty-Typed Proposition IR, Assumption-Robust Pareto Frontiers, and a Regret Certificate (2026)
  Suyash Mishra
  4.33
• Trivial Prompt Reframing Bypasses Safety Guardrails in Google\'s MedGemma-4B (2026)
  Avi-ad Avraam Buskila
  4.33
• A Unified Model for Highly Accurate ECG-Free Dynamic Coronary Roadmapping Using Spatio-Temporal Transformers (2026)
  Saahil Islam et al.
  4.33
• Towards Objective Dysgraphia Detection: A Multi-Branch Deep Learning Approach for Online Handwriting Analysis (2026)
  Lydia Ouhib (LIASD) et al.
  4.33
• CLIR-Bench: Benchmarking Multimodal Question Answering over Irregular Clinical Time Series (2026)
  Frank Nie et al.
  4.33
• Information-seeking failures of large language models in agentic clinical reasoning (2026)
  Krischan Braitsch et al.
  4.33
• Toward Contemplative LLM: A Modular Framework for Evaluating and Enhancing LLM Alignment in Mental Health (2026)
  Asher Sprigler et al.
  4.33
• NVAITC AI Scientist: A Governed End-to-End Research System -- A Hypertension GWAS Case Study (2026)
  Eddie Huang (NVIDIA AI Technology Center et al.
  4.33
• The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy (2026)
  Chunzheng Zhu et al.
  4.33
• A Unified Framework for Comprehensive Cardiac CT Segmentation and Phenotyping: Human-in-the-Loop Data Annotation, Vision Foundation Model Development, Multicenter Evaluation and Clinical Validation (2026)
  Pooya Mohammadi Kazaj et al.
  4.33
• From Neural Network Decisions to Training Cases: An Exact Account via Case-Based Decision Theory (2026)
  Manli Yan et al.
  4.33
• RAGU: A Multi-Step GraphRAG Engine with a Compact Domain-Adapted LLM (2026)
  Mikhail Komarov et al.
  4.33
• LoRA-Based Cascaded Multimodal Fusion for Action Recognition in Medical Training Environments (2026)
  Divya Mereddy et al.
  4.33
• MVG-KAN: Multi-View Geo-Wind Guided KAN for PM$_{2.5}$ Forecasting (2026)
  Cheng Huang et al.
  4.27
• Anticipating Continued Global Fertility Decline via Neural Forecasting (2026)
  Daniel Ciganda et al.
  4.22
• Transfer Learning using 66 Diseases for Disease Forecasting Applications (2026)
  Lauren J Beesley et al.
  4.22
• Ultralow-dimensionality reduction for identifying critical transitions by spatial-temporal PCA (2025)
  Pei Chen et al.
  4.14
• DyWPE: Signal-Aware Dynamic Wavelet Positional Encoding for Time Series Transformers (2025)
  Habib Irani et al.
  3.92
• AdaWaveNet: Adaptive Wavelet Network for Time Series Analysis (2024)
  Han Yu et al.
  3.80
• Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates (2025)
  Chengqing Yu et al.
  3.75
• A Novel Hybrid Approach to Contraceptive Demand Forecasting: Integrating Point Predictions with Probabilistic Distributions (2025)
  Harsha Chamara Hewage et al.
  3.53
• Harrison.Rad 1.5 Technical Report: A radiology foundation model that can draft reports from images, priors and clinical context (2026)
  Suneeta Mall et al.
  3.45
• IDOBE: Infectious Disease Outbreak forecasting Benchmark Ecosystem (2026)
  Aniruddha Adiga et al.
  3.28
• SSM-CGM: Interpretable State-Space Forecasting Model of Continuous Glucose Monitoring for Personalized Diabetes Management (2025)
  Shakson Isaac et al.
  3.04
• A Climate-Aware Deep Learning Framework for Generalizable Epidemic Forecasting (2025)
  Jinpyo Hong et al.
  3.04
• Unified Flow Matching for Long Horizon Event Forecasting (2025)
  Xiao Shou
  2.93
• Evaluation of Time Series Forecasting Models for Predicting Lung Cancer Mortality Rates in the United States: A Comparison with Altuhaifa (2023) Study (2025)
  E. Kubuafor et al.
  2.93
• ML-PWS: Estimating the Mutual Information Between Experimental Time Series Using Neural Networks (2025)
  Manuel Reinhardt et al.
  2.93
• A Comparative Analysis of Traditional and Deep Learning Time Series Architectures for Influenza A Infectious Disease Forecasting (2025)
  Edmund F. Agyemang et al.
  2.87
• Large Language models for Time Series Analysis: Techniques, Applications, and Challenges (2025)
  Feifei Shi and Xueyan Yin and Kang Wang and Wanyu Tu and Qifu Sun and Huansheng Ning
  2.82
• Enhancing Bagging Ensemble Regression with Data Integration for Time Series-Based Diabetes Prediction (2025)
  Vuong M. Ngo et al.
  2.82
• Improving Outbreak Forecasts Through Model Augmentation (2025)
  Graham C. Gibson et al.
  2.82
• Simple Feedfoward Neural Networks are Almost All You Need for Time Series Forecasting (2025)
  Fan-Keng Sun et al.
  2.65
• Fine-Tuning Foundation Models with Federated Learning for Privacy Preserving Medical Time Series Forecasting (2025)
  Mahad Ali et al.
  2.60
• AirCast: Improving Air Pollution Forecasting Through Multi-Variable Data Alignment (2025)
  Vishal Nedungadi and Muhammad Akhtar Munir and Marc Ru{\ss}wurm and Ron Sarafian and Ioannis N. Athanasiadis and Yinon Rudich and Fahad Shahbaz Khan and Salman Khan
  2.60
• Epidemiology-informed Graph Neural Network for Heterogeneity-aware Epidemic Forecasting (2024)
  Yufan Zheng et al.
  2.54
• Heterogeneous Federated Learning System for Sparse Healthcare Time-Series Prediction (2025)
  Jia-Hao Syu et al.
  2.54
• Automatic selection of the best neural architecture for time series forecasting (2025)
  Qianying Cao et al.
  2.54
• Mitigating Data Redundancy to Revitalize Transformer-based Long-Term Time Series Forecasting System (2022)
  Mingjie Li et al.
  2.53
• Stochastic Diffusion: A Diffusion Probabilistic Model for Stochastic Time Series Forecasting (2024)
  Yuansan Liu et al.
  2.26
• MLPTR-CC: Multi-label Pathology Test Recommendation using Classifier Chains and SHAP (2026)
  Abu Rafe Md Jamil et al.
  1.94
• GlucoFM-Bench: Benchmarking Time-Series Foundation Models for Blood Glucose Forecasting (2026)
  Baiying Lu et al.
  1.89
• Count data modeling and forecasting of malaria incidence using generalized time series regression (2026)
  Adithya B. Somaraj et al.
  1.89
• Learning Patient-Specific Event Sequence Representations for Clinical Process Analysis (2026)
  K. Sólyomvári et al.
  1.89
• An Integrated Forecasting Prototype for Emergency Department Boarding Time to Support Proactive Operational Decision Making (2026)
  Orhun Vural et al.
  1.83
• MATA-Former & SIICU: Semantic Aware Temporal Alignment for High-Fidelity ICU Risk Prediction (2026)
  Zhichong Zheng et al.
  1.78
• Discrete Prototypical Memories for Federated Time Series Foundation Models (2026)
  Liwei Deng et al.
  1.78
• TimeSeriesExamAgent: Creating Time Series Reasoning Benchmarks at Scale (2026)
  Malgorzata Gwiazda et al.
  1.78
• ASTER: Latent Pseudo-Anomaly Generation for Unsupervised Time-Series Anomaly Detection (2026)
  Romain Hermary et al.
  1.78