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Nested cross-validation when selecting classifiers is overzealous for
  most practical applications

Nested cross-validation when selecting classifiers is overzealous for most practical applications

25 September 2018
Jacques Wainer
G. Cawley
ArXiv (abs)PDFHTML

Papers citing "Nested cross-validation when selecting classifiers is overzealous for most practical applications"

15 / 15 papers shown
Title
Unveiling Processing--Property Relationships in Laser Powder Bed Fusion:
  The Synergy of Machine Learning and High-throughput Experiments
Unveiling Processing--Property Relationships in Laser Powder Bed Fusion: The Synergy of Machine Learning and High-throughput Experiments
Mahsa Amiri
Zahra Zanjani Foumani
Penghui Cao
Lorenzo Valdevit
Ramin Bostanabad
AI4CE
59
2
0
30 Aug 2024
An LLM Feature-based Framework for Dialogue Constructiveness Assessment
An LLM Feature-based Framework for Dialogue Constructiveness Assessment
Lexin Zhou
Youmna Farag
Andreas Vlachos
68
2
0
20 Jun 2024
Predicting Parkinson's disease trajectory using clinical and functional MRI features: a reproduction and replication study
Predicting Parkinson's disease trajectory using clinical and functional MRI features: a reproduction and replication study
Elodie Germani
Nikhil Baghwat
Mathieu Dugré
Rémi Gau
A. Montillo
Kevin Nguyen
Andrzej Sokolowski
Madeleine Sharp
J B Poline
Tristan Glatard
66
0
0
20 Feb 2024
Video-based Automatic Lameness Detection of Dairy Cows using Pose
  Estimation and Multiple Locomotion Traits
Video-based Automatic Lameness Detection of Dairy Cows using Pose Estimation and Multiple Locomotion Traits
H. Russello
R. V. D. Tol
M. Holzhauer
Eldert J. van Henten
Gert Kootstra
72
14
0
10 Jan 2024
An Introduction to Natural Language Processing Techniques and Framework
  for Clinical Implementation in Radiation Oncology
An Introduction to Natural Language Processing Techniques and Framework for Clinical Implementation in Radiation Oncology
Reza Khanmohammadi
Mohammad Mahdi Ghassemi
Kyle Verdecchia
A. Ghanem
Luo Bing
...
H. Bagher-Ebadian
Farzan Siddiqui
Mohamed Elshaikh
B. Movsas
Kundan Thind
LM&MA
73
2
0
03 Nov 2023
Generating Hierarchical Structures for Improved Time Series
  Classification Using Stochastic Splitting Functions
Generating Hierarchical Structures for Improved Time Series Classification Using Stochastic Splitting Functions
Celal Alagoz
18
0
0
21 Sep 2023
Pseudo-online framework for BCI evaluation: A MOABB perspective
Pseudo-online framework for BCI evaluation: A MOABB perspective
Igor Carrara
Théodore Papadopoulo
126
8
0
21 Aug 2023
Utilizing Semantic Textual Similarity for Clinical Survey Data Feature
  Selection
Utilizing Semantic Textual Similarity for Clinical Survey Data Feature Selection
Benjamin C. Warner
Ziqi Xu
S. Haroutounian
Thomas Kannampallil
Chenyang Lu
85
2
0
19 Aug 2023
Assessing the impact of emergency department short stay units using
  length-of-stay prediction and discrete event simulation
Assessing the impact of emergency department short stay units using length-of-stay prediction and discrete event simulation
Mucahit Cevik
Can Kavaklioglu
Fahad Razak
A. Verma
Ayse Basar
21
0
0
04 Aug 2023
Solving large-scale MEG/EEG source localization and functional
  connectivity problems simultaneously using state-space models
Solving large-scale MEG/EEG source localization and functional connectivity problems simultaneously using state-space models
Jose M. Sanchez-Bornot
R. Sotero
J. Kelso
Damien Coyle
43
3
0
26 Aug 2022
A Bayesian Bradley-Terry model to compare multiple ML algorithms on
  multiple data sets
A Bayesian Bradley-Terry model to compare multiple ML algorithms on multiple data sets
Jacques Wainer
88
10
0
09 Aug 2022
Extract Dynamic Information To Improve Time Series Modeling: a Case
  Study with Scientific Workflow
Extract Dynamic Information To Improve Time Series Modeling: a Case Study with Scientific Workflow
Jeeyung Kim
Mengtian Jin
Youkow Homma
A. Sim
W. Kroeger
K. Wu
AI4TS
33
0
0
19 May 2022
Automatic Classification of OSA related Snoring Signals from Nocturnal
  Audio Recordings
Automatic Classification of OSA related Snoring Signals from Nocturnal Audio Recordings
Arun Sebastian
P. Cistulli
G. Cohen
P. Chazal
19
0
0
25 Feb 2021
Utilizing stability criteria in choosing feature selection methods
  yields reproducible results in microbiome data
Utilizing stability criteria in choosing feature selection methods yields reproducible results in microbiome data
Lingjing Jiang
N. Haiminen
A. Carrieri
Shi Huang
Yoshiki Vazquez-Baeza
L. Parida
Ho-Cheol Kim
Austin D. Swafford
R. Knight
L. Natarajan
32
8
0
30 Nov 2020
Deep Neural Generative Model of Functional MRI Images for Psychiatric
  Disorder Diagnosis
Deep Neural Generative Model of Functional MRI Images for Psychiatric Disorder Diagnosis
Takashi Matsubara
T. Tashiro
K. Uehara
MedIm
58
43
0
18 Dec 2017
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