ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1909.10868
  4. Cited By
Adversarial Representation Learning for Robust Patient-Independent
  Epileptic Seizure Detection
v1v2 (latest)

Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection

IEEE journal of biomedical and health informatics (IEEE JBHI), 2019
18 September 2019
Xiang Zhang
Lina Yao
Manqing Dong
Zhe Liu
Yu Zhang
Yong Li
    OODAAML
ArXiv (abs)PDFHTML

Papers citing "Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection"

12 / 12 papers shown
Towards Interpretable and Trustworthy Time Series Reasoning: A BlueSky Vision
Towards Interpretable and Trustworthy Time Series Reasoning: A BlueSky Vision
Kanghui Ning
Zijie Pan
Yushan Jiang
Anderson Schneider
Yuriy Nevmyvaka
Dongjin Song
AI4TS
191
1
0
19 Oct 2025
EEG-Based Inter-Patient Epileptic Seizure Detection Combining Domain Adversarial Training with CNN-BiLSTM Network
EEG-Based Inter-Patient Epileptic Seizure Detection Combining Domain Adversarial Training with CNN-BiLSTM Network
Rina Tazaki
Tomoyuki Akiyama
Akira Furui
84
4
0
21 May 2025
Multi-modal Time Series Analysis: A Tutorial and Survey
Multi-modal Time Series Analysis: A Tutorial and Survey
Yushan Jiang
Kanghui Ning
Zijie Pan
Xuyang Shen
Jingchao Ni
Wenchao Yu
Anderson Schneider
Haifeng Chen
Yuriy Nevmyvaka
Dongjin Song
AI4TS
914
27
0
17 Mar 2025
Deep Learning-Powered Electrical Brain Signals Analysis: Advancing Neurological Diagnostics
Deep Learning-Powered Electrical Brain Signals Analysis: Advancing Neurological Diagnostics
Jiahe Li
Xin Chen
Fanqi Shen
Junru Chen
Y. Liu
Daoze Zhang
Zhizhang Yuan
F. Zhao
Meng Li
Yang Yang
369
2
0
24 Feb 2025
Source-free Subject Adaptation for EEG-based Visual Recognition
Source-free Subject Adaptation for EEG-based Visual RecognitionBalkan Conference in Informatics (BCI), 2023
Pilhyeon Lee
Seogkyu Jeon
Sunhee Hwang
Minjung Shin
H. Byun
105
5
0
20 Jan 2023
Unsupervised Multivariate Time-Series Transformers for Seizure
  Identification on EEG
Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEGInternational Conference on Machine Learning and Applications (ICMLA), 2022
.Ilkay Yildiz Potter
George Zerveas
Carsten Eickhoff
D. Duncan
122
25
0
03 Jan 2023
Explainable AI for clinical and remote health applications: a survey on
  tabular and time series data
Explainable AI for clinical and remote health applications: a survey on tabular and time series dataArtificial Intelligence Review (Artif Intell Rev), 2022
Flavio Di Martino
Franca Delmastro
AI4TS
221
132
0
14 Sep 2022
Bridging the Gap Between Patient-specific and Patient-independent
  Seizure Prediction via Knowledge Distillation
Bridging the Gap Between Patient-specific and Patient-independent Seizure Prediction via Knowledge DistillationJournal of Neural Engineering (J. Neural Eng.), 2022
Di Wu
Jie Yang
Mohamad Sawan
FedML
200
28
0
25 Feb 2022
Inter-subject Contrastive Learning for Subject Adaptive EEG-based Visual
  Recognition
Inter-subject Contrastive Learning for Subject Adaptive EEG-based Visual RecognitionBalkan Conference in Informatics (BI), 2022
Pilhyeon Lee
Sunhee Hwang
Jewook Lee
Minjung Shin
Seogkyu Jeon
H. Byun
139
14
0
07 Feb 2022
An overview of deep learning techniques for epileptic seizures detection
  and prediction based on neuroimaging modalities: Methods, challenges, and
  future works
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works
A. Shoeibi
Parisa Moridian
Marjane Khodatars
Navid Ghassemi
M. Jafari
...
Juan M Gorriz
Javier Ramírez
Abbas Khosravi
S. Nahavandi
U. Acharya
397
65
0
29 May 2021
Unsupervised Domain Adaptation for Cross-Subject Few-Shot Neurological
  Symptom Detection
Unsupervised Domain Adaptation for Cross-Subject Few-Shot Neurological Symptom DetectionInternational IEEE/EMBS Conference on Neural Engineering (NER), 2021
Bingzhao Zhu
Mahsa Shoaran
OOD
146
14
0
28 Feb 2021
An Explainable Model for EEG Seizure Detection based on Connectivity
  Features
An Explainable Model for EEG Seizure Detection based on Connectivity Features
Mohamad Mansour
Fouad Khnaisser
Hmayag Partamian
99
6
0
26 Sep 2020
1