{"total":16,"rows":[{"id":"2210.00847","title":"Review of Clustering Methods for Functional Data","created":"2022-10-03","cited_by_count":6,"area":null},{"id":"2101.04929","title":"Supervised deep learning of elastic SRV distances on the shape space of curves","created":"2021-01-13","cited_by_count":4,"area":null},{"id":"2105.08604","title":"Shape Analysis of Functional Data with Elastic Partial Matching","created":"2021-05-18","cited_by_count":3,"area":null},{"id":"2501.18116","title":"DeepFRC: An End-to-End Deep Learning Model for Functional Registration and Classification","created":"2025-01-30","cited_by_count":3,"area":null},{"id":"2503.05632","title":"A Functional Approach to Curve Alignment and Shape Analysis","created":"2025-03-07","cited_by_count":2,"area":null},{"id":"2602.03169","title":"NeuralFLoC: Neural Flow-Based Joint Registration and Clustering of Functional Data","created":"2026-02-03","cited_by_count":1,"area":null},{"id":"2109.00978","title":"Accurate shape and phase averaging of time series through Dynamic Time Warping","created":"2021-09-02","cited_by_count":0,"area":null},{"id":"2203.14810","title":"Data-Driven, Soft Alignment of Functional Data Using Shapes and Landmarks","created":"2022-03-22","cited_by_count":0,"area":null},{"id":"2312.09422","title":"Joint Alignment of Multivariate Quasi-Periodic Functional Data Using Deep Learning","created":"2023-11-14","cited_by_count":0,"area":null},{"id":"2502.15000","title":"Joint Registration and Conformal Prediction for Partially Observed Functional Data","created":"2025-02-20","cited_by_count":0,"area":null},{"id":"2502.16888","title":"Functional BART with Shape Priors: A Bayesian Tree Approach to Constrained Functional Regression","created":"2025-02-24","cited_by_count":0,"area":null},{"id":"2503.17943","title":"Supervised Manifold Learning for Functional Data","created":"2025-03-23","cited_by_count":0,"area":null},{"id":"2512.07888","title":"Functional Random Forest with Adaptive Cost-Sensitive Splitting for Imbalanced Functional Data Classification","created":"2025-12-02","cited_by_count":0,"area":null},{"id":"2602.23528","title":"Neural Operators Can Discover Functional Clusters","created":"2026-02-26","cited_by_count":0,"area":null},{"id":"2609.32254","title":"Why Directly Learning Periodic Trajectories Can Fail","created":"2026-09-26","cited_by_count":0,"area":null},{"id":"2609.34207","title":"Functional Autoencoders for Amplitude-Phase Representation Learning","created":"2026-09-28","cited_by_count":0,"area":null}],"next_cursor":null}