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Class Balancing Diversity Multimodal Ensemble for Alzheimer's Disease
  Diagnosis and Early Detection

Class Balancing Diversity Multimodal Ensemble for Alzheimer's Disease Diagnosis and Early Detection

14 October 2024
Arianna Francesconi
Lazzaro di Biase
Donato Cappetta
Fabio Rebecchi
Paolo Soda
R. Sicilia
V. Guarrasi
ArXiv (abs)PDFHTML

Papers citing "Class Balancing Diversity Multimodal Ensemble for Alzheimer's Disease Diagnosis and Early Detection"

5 / 5 papers shown
Title
A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1
A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1
Giulia Di Teodoro
F. Siciliano
V. Guarrasi
A. Vandamme
Valeria Ghisetti
Anders Sönnerborg
Maurizio Zazzi
Fabrizio Silvestri
L. Palagi
187
8
0
24 Feb 2025
Tabular Data: Deep Learning is Not All You Need
Tabular Data: Deep Learning is Not All You Need
Ravid Shwartz-Ziv
Amitai Armon
LMTD
159
1,275
0
06 Jun 2021
Deep Ensembles: A Loss Landscape Perspective
Deep Ensembles: A Loss Landscape Perspective
Stanislav Fort
Huiyi Hu
Balaji Lakshminarayanan
OODUQCV
123
629
0
05 Dec 2019
Green AI
Green AI
Roy Schwartz
Jesse Dodge
Noah A. Smith
Oren Etzioni
119
1,149
0
22 Jul 2019
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
388
25,691
0
09 Jun 2011
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