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- Explainable computational framework for subtype classification and biomarker identification in head and neck squamous cell carcinoma using machine learning
- Open access route and citation impact in orthopaedic research: A comparison of Gold/hybrid, Green, and Bronze open access within ten high-impact subscription-based journals
- Shapley fields reveal mosaic chemotopic organization in the mouse Olfactory bulb across diverse chemical feature sets
- Universal Differential Equations for aquatic sciences: application to forecasting lake thermal stratification
- Follow or Surpass? Collaboration, Sound, and the Recognition of Influence in Lineages of Jazz Trumpet Players
- Generative Modeling for Cascading Extremes via Autoregressive Transformers
- Balance-Guided Forest for Causal Effect Estimation
- Inventory and Assortment Optimization under General Choice: A Unified Approximation Framework
- From Type to Token: Petri Nets, Individual Token Philosophy, and Individualized Causal Effects
- Efficient Gaussian Process Modeling for Large Replicated and Censored Data in Industrial Research
- High-dimensional Four-Level Structured Functional Principal Component Analysis for Unbalanced Level Data with Application to Concussion Data
- Bayesian Superpopulation Models for Population-Based Diabetes Surveillance Using Multi-Site Electronic Health Record Data
- Predictability over Volatility: When simple strategies help households save on fuel
- Transport along Local Annealing Paths: Wasserstein Geometry and Multimodal Sampling
- A covariance density for a point process and a random field
- Near-Minimax Sample Complexity for Multi-Objective Reinforcement Learning under Generative Models
- Support Vector Machines Directly Minimise KL Divergence
- Generalized Hyperrectangular Prediction Sets in Multivariate Conformal Prediction
- Towards Efficient Whole Page Ranking with One-Pass Inference
- Algorithmic Principles For Multiclass Learning Are Hard To Come By: Limits of Regularization and Proper Learning
- Exact signal recovery from generative priors with sigmoid output activation
- Geometric ergodicity of the block Gibbs sampler for Bayesian linear mixed models with scale mixtures of normal random effects
- Tight Lower Bounds under Matched High-Order Hölder Smoothness and Uniform Convexity
- Interpretable Social Network Churn Prediction via Ergodic Markov Chains
- Shrinkage prior for implicit generative models