ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2211.02566
  4. Cited By
scikit-fda: A Python Package for Functional Data Analysis

scikit-fda: A Python Package for Functional Data Analysis

4 November 2022
Carlos Ramos-Carreño
J. L. Torrecilla
Miguel Carbajo-Berrocal
P. Marcos
A. Suárez
    GP
    AI4CE
ArXivPDFHTML

Papers citing "scikit-fda: A Python Package for Functional Data Analysis"

8 / 8 papers shown
Title
Empirical risk minimization algorithm for multiclass classification of S.D.E. paths
Empirical risk minimization algorithm for multiclass classification of S.D.E. paths
Christophe Denis
Eddy Ella Mintsa
56
0
0
18 Mar 2025
3D-CSAD: Untrained 3D Anomaly Detection for Complex Manufacturing
  Surfaces
3D-CSAD: Untrained 3D Anomaly Detection for Complex Manufacturing Surfaces
Xuanming Cao
Chengyu Tao
Juan Du
3DPC
19
3
0
11 Apr 2024
Real-time Adaptation for Condition Monitoring Signal Prediction using
  Label-aware Neural Processes
Real-time Adaptation for Condition Monitoring Signal Prediction using Label-aware Neural Processes
Seokhyun Chung
Raed Al Kontar
21
0
0
25 Mar 2024
Nonlinear functional regression by functional deep neural network with kernel embedding
Nonlinear functional regression by functional deep neural network with kernel embedding
Zhongjie Shi
Jun Fan
Linhao Song
Ding-Xuan Zhou
Johan A. K. Suykens
50
4
0
05 Jan 2024
A Bayesian approach to functional regression: theory and computation
A Bayesian approach to functional regression: theory and computation
J. Berrendero
A. Coín
Antonio Cuevas
11
0
0
21 Dec 2023
Functional Diffusion Maps
Functional Diffusion Maps
María Barroso
Carlos M. Alaíz
Ángela Fernández Pascual
J. L. Torrecilla
19
2
0
27 Apr 2023
FDApy: a Python package for functional data
FDApy: a Python package for functional data
Steven Golovkine
AI4CE
10
2
0
26 Jan 2021
Measuring and testing dependence by correlation of distances
Measuring and testing dependence by correlation of distances
G. Székely
Maria L. Rizzo
N. K. Bakirov
164
2,567
0
28 Mar 2008
1