Machine Learning · Computer Science
Deep Classification of Epileptic Signals
David Ahmedt-Aristizabal, Clinton Fookes, Kien Nguyen, Sridha Sridharan
2018-07-06
Audio and Speech Processing · Electrical Eng. & Systems
An LSTM Based Architecture to Relate Speech Stimulus to EEG
Mohammad Jalilpour Monesi, Bernd Accou, Jair Montoya-Martinez, Tom Francart +1
2020-02-26
Machine Learning · Computer Science
Analyzing EEG Data with Machine and Deep Learning: A Benchmark
Danilo Avola, Marco Cascio, Luigi Cinque, Alessio Fagioli +3
2022-03-21
Quantitative Methods · Quantitative Biology
Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification
Nik Khadijah Nik Aznan, Amir Atapour-Abarghouei, Stephen Bonner, Jason Connolly +2
2019-10-14
Signal Processing · Electrical Eng. & Systems
A Statistical Approach for Synthetic EEG Data Generation
Gideon Vos, Maryam Ebrahimpour, Liza van Eijk, Zoltan Sarnyai +1
2025-07-08
Signal Processing · Electrical Eng. & Systems
MuBiNN: Multi-Level Binarized Recurrent Neural Network for EEG signal Classification
Seyed Ahmad Mirsalari, Sima Sinaei, Mostafa E. Salehi, Masoud Daneshtalab
2020-04-21
Neurons and Cognition · Quantitative Biology
Epileptic seizure forecasting with long short-term memory (LSTM) neural networks
Daniel E. Payne, Jordan D. Chambers, Anthony Burkitt, Mark J. Cook +3
2023-09-19
Machine Learning · Computer Science
Learning to Diagnose with LSTM Recurrent Neural Networks
Zachary C. Lipton, David C. Kale, Charles Elkan, Randall Wetzel
2017-03-23
Machine Learning · Computer Science
Data augmentation for learning predictive models on EEG: a systematic comparison
Cédric Rommel, Joseph Paillard, Thomas Moreau, Alexandre Gramfort
2022-11-16
Signal Processing · Electrical Eng. & Systems
Enhanced EEG-Based Mental State Classification : A novel approach to eliminate data leakage and improve training optimization for Machine Learning
Maxime Girard, Rémi Nahon, Enzo Tartaglione, Van-Tam Nguyen
2023-12-18
Systems and Control · Electrical Eng. & Systems
Deep transfer learning for system identification using long short-term memory neural networks
Kaicheng Niu, Mi Zhou, Chaouki T. Abdallah, Mohammad Hayajneh
2022-04-08
Machine Learning · Computer Science
Multi-level Binarized LSTM in EEG Classification for Wearable Devices
Najmeh Nazari, Seyed Ahmad Mirsalari, Sima Sinaei, Mostafa E. Salehi +1
2020-04-24
Neural and Evolutionary Computing · Computer Science
A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction
Jordan J. Bird, Diego R. Faria, Luis J. Manso, Anikó Ekárt +1
2019-10-11
Machine Learning · Computer Science
Deep Learning Approach to Bearing and Induction Motor Fault Diagnosis via Data Fusion
Mert Sehri, Merve Ertagrin, Ozal Yildirim, Ahmet Orhan +1
2025-06-16
Computer Vision and Pattern Recognition · Computer Science
Machine Learning Fairness for Depression Detection using EEG Data
Angus Man Ho Kwok, Jiaee Cheong, Sinan Kalkan, Hatice Gunes
2025-01-31
Machine Learning · Computer Science
Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network
Guangyi Zhang, Vandad Davoodnia, Alireza Sepas-Moghaddam, Yaoxue Zhang +1
2019-12-04
Signal Processing · Electrical Eng. & Systems
Compensation of Fiber Nonlinearities in Digital Coherent Systems Leveraging Long Short-Term Memory Neural Networks
Stavros Deligiannidis, Adonis Bogris, Charis Mesaritakis, Yannis Kopsinis
2020-12-16