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Automatic detection of abnormal EEG signals using wavelet feature
  extraction and gradient boosting decision tree

Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree

18 December 2020
H. Albaqami
Ghulam Mubashar Hassan
A. Subasi
A. Datta
ArXivPDFHTML

Papers citing "Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree"

4 / 4 papers shown
Title
Batch Augmentation with Unimodal Fine-tuning for Multimodal Learning
Batch Augmentation with Unimodal Fine-tuning for Multimodal Learning
H. M. D. Kabir
S. Mondal
Mohammad Ali Moni
31
0
0
10 May 2025
MP-SeizNet: A Multi-Path CNN Bi-LSTM Network for Seizure-Type
  Classification Using EEG
MP-SeizNet: A Multi-Path CNN Bi-LSTM Network for Seizure-Type Classification Using EEG
H. Albaqami
Ghulam Mubashar Hassan
A. Datta
35
24
0
09 Nov 2022
Mixed integer linear optimization formulations for learning optimal
  binary classification trees
Mixed integer linear optimization formulations for learning optimal binary classification trees
B. Alston
Hamidreza Validi
Illya V. Hicks
13
3
0
10 Jun 2022
Wavelet-Based Multi-Class Seizure Type Classification System
Wavelet-Based Multi-Class Seizure Type Classification System
H. Albaqami
Ghulam Mubashar Hassan
A. Datta
14
16
0
19 Feb 2022
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