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Additive models
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The Most Important Features in Generalized Additive Models Might Be Groups of Features
An Optimized Franz-Parisi Criterion and its Equivalence with SQ Lower Bounds
Learning Joint Interventional Effects from Single-Variable Interventions in Additive Models
neuralGAM: An R Package for Fitting Generalized Additive Neural Networks
Navigating the Rashomon Effect: How Personalization Can Help Adjust Interpretable Machine Learning Models to Individual Users
Recursive Identification of Structured Systems: An Instrumental-Variable Approach Applied to Mechanical Systems
Challenges in interpretability of additive models
Adaptive Shrinkage Estimation For Personalized Deep Kernel Regression In Modeling Brain Trajectories
Identification of additive multivariable continuous-time systems
AutoML Algorithms for Online Generalized Additive Model Selection: Application to Electricity Demand Forecasting
MT-NAM: An Efficient and Adaptive Model for Epileptic Seizure Detection
Gradient-free stochastic optimization for additive models
InstaSHAP: Interpretable Additive Models Explain Shapley Values Instantly
Forecasting time series with constraints
Normative Cerebral Perfusion Across the Lifespan
$\texttt{LucidAtlas}$: Learning Uncertainty-Aware, Covariate-Disentangled, Individualized Atlas Representations
Causal Additive Models with Unobserved Causal Paths and Backdoor Paths
Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age
How Your Location Relates to Health: Variable Importance and Interpretable Machine Learning for Environmental and Sociodemographic Data
High-Dimensional Markov-switching Ordinary Differential Processes
Automated Demand Forecasting in small to medium-sized enterprises
Interpretable Generalized Additive Models for Datasets with Missing Values
Meta-learning Loss Functions of Parametric Partial Differential Equations Using Physics-Informed Neural Networks
DNAMite: Interpretable Calibrated Survival Analysis with Discretized Additive Models
Progression: an extrapolation principle for regression
Inherently Interpretable Tree Ensemble Learning
Transparent Networks for Multivariate Time Series
Generalized Sparse Additive Model with Unknown Link Function
ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning
A Functional Extension of Semi-Structured Networks
GAMformer: In-Context Learning for Generalized Additive Models
Quantifying Visual Properties of GAM Shape Plots: Impact on Perceived Cognitive Load and Interpretability
Challenging the Performance-Interpretability Trade-off: An Evaluation of Interpretable Machine Learning Models
Speech as a Biomarker for Disease Detection
Associations between exposure to OPEs and rheumatoid arthritis risk among adults in NHANES, 2011-2018
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.