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SPlit: An Optimal Method for Data Splitting
v1v2 (latest)

SPlit: An Optimal Method for Data Splitting

20 December 2020
V. R. Joseph
Akhil Vakayil
ArXiv (abs)PDFHTML

Papers citing "SPlit: An Optimal Method for Data Splitting"

17 / 17 papers shown
Harnessing Near-Infrared Spectroscopy and Machine Learning for Traceable Classification of Hanwoo and Holstein Beef
Harnessing Near-Infrared Spectroscopy and Machine Learning for Traceable Classification of Hanwoo and Holstein Beef
AMM Nurul Alam
Abdul Samad
AMM Shamsul Alam
Jahan Ara Monti
Ayesha Muazzam
180
0
0
24 Jun 2025
Personalized Control for Lower Limb Prosthesis Using Kolmogorov-Arnold Networks
Personalized Control for Lower Limb Prosthesis Using Kolmogorov-Arnold Networks
SeyedMojtaba Mohasel
Alireza Afzal Aghaei
Corey Pew
281
0
0
14 May 2025
Using a CNN Model to Assess Paintings' Creativity
Using a CNN Model to Assess Paintings' Creativity
Zhehan Zhang
Meihua Qian
Li Luo
Qianyi Gao
Xianyong Wang
Ripon Saha
Xinxin Song
75
0
0
03 Jan 2025
Double Machine Learning for Adaptive Causal Representation in
  High-Dimensional Data
Double Machine Learning for Adaptive Causal Representation in High-Dimensional Data
Lynda Aouar
Han Yu
CML
407
0
0
22 Nov 2024
Benchmarking of a new data splitting method on volcanic eruption data
Benchmarking of a new data splitting method on volcanic eruption data
Simona Reale
Pietro Di Stasio
Francesco Mauro
A. Sebastianelli
Paolo Gamba
Silvia Liberata Ullo
115
0
0
08 Oct 2024
A model-free subdata selection method for classification
A model-free subdata selection method for classification
Rakhi Singh
280
0
0
29 Apr 2024
Rational Kriging
Rational KrigingJournal of the American Statistical Association (JASA), 2023
V. Roshan
149
2
0
08 Dec 2023
Enhancing Sample Quality through Minimum Energy Importance Weights
Enhancing Sample Quality through Minimum Energy Importance Weights
Chaofan Huang
V. R. Joseph
359
0
0
12 Oct 2023
A Global-Local Approximation Framework for Large-Scale Gaussian Process
  Modeling
A Global-Local Approximation Framework for Large-Scale Gaussian Process Modeling
Akhil Vakayil
Roshan Joseph
249
6
0
17 May 2023
Model predictivity assessment: incremental test-set selection and
  accuracy evaluation
Model predictivity assessment: incremental test-set selection and accuracy evaluationIEEE Symposium on Swarm Intelligence (SI), 2022
E. Fekhari
Bertrand Iooss
Joseph Muré
L. Pronzato
M. Rendas
269
16
0
08 Jul 2022
A Diagnostic Approach to Assess the Quality of Data Splitting in Machine
  Learning
A Diagnostic Approach to Assess the Quality of Data Splitting in Machine Learning
Eklavya Jain
J. Neeraja
Buddhananda Banerjee
Palash Ghosh
OOD
86
7
0
23 Jun 2022
Density Regression with Conditional Support Points
Density Regression with Conditional Support Points
Yunlu Chen
N. Zhang
149
0
0
14 Jun 2022
A Continual Learning Framework for Adaptive Defect Classification and
  Inspection
A Continual Learning Framework for Adaptive Defect Classification and InspectionJournal of QualityTechnology (JQT), 2022
Wenbo Sun
Raed Al Kontar
Judy Jin
Tzyy-Shuh Chang
221
13
0
16 Mar 2022
Optimal Ratio for Data Splitting
Optimal Ratio for Data SplittingStatistical analysis and data mining (SADM), 2022
V. R. Joseph
266
640
0
07 Feb 2022
Exploiting all samples in low-resource sentence classification: early
  stopping and initialization parameters
Exploiting all samples in low-resource sentence classification: early stopping and initialization parametersIEEE Access (IEEE Access), 2021
Hongseok Choi
Hyunju Lee
178
7
0
12 Nov 2021
Data Twinning
Data Twinning
Akhil Vakayil
V. R. Joseph
179
28
0
06 Oct 2021
JST-RR Model: Joint Modeling of Ratings and Reviews in Sentiment-Topic
  Prediction
JST-RR Model: Joint Modeling of Ratings and Reviews in Sentiment-Topic Prediction
Qiao Liang
Shyam Ranganathan
Kaibo Wang
Xinwei Deng
154
6
0
18 Feb 2021
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