Accepted Papers

The MLESP workshop has received several submissions. Only 23 papers have been accepted by the technical program committee.
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MLESP 2023 Accepted Papers

Paper ID: S01202  
Title: Diagnosis of Schizophrenia from EEG signals Using ML Algorithms
Authors: Tariq Qayyum, Asadullah Tariq, Mohamed Adel Serhani, Zouheir Trabelsi, and Abdelkader N Belkacem

Paper ID: S01203 
Title: Pain Management and Conditioning through Virtual Reality and Affective Computing
Authors: Andrea Bugeja and Alexiei Dingli

Paper ID: S01204 
Title: Epileptic EEG Signal Detection based on Uncorrelated Multilinear Principal Component Analysis and Metric Learning
Authors: Yankai Yang, Juan Wang, Jie Xu, Kuiting Yan, and Shasha Yuan

Paper ID: S01205 
Title: Improving Multichannel Raw Electroencephalography-based Diagnosis of Major Depressive Disorder via Transfer Learning with Single Channel Sleep Stage Data
Authors: Charles Ellis, Abhinav Sattiraju, Robyn Miller, and Vince Calhoun

Paper ID: S01206 
Title: High-performance Deep Neural Network Pretrained with Contrastive Learning for Asynchronous High-frequency c-VEP Detection
Authors: En Lai, Ximing Mai, and Jianjun Men

Paper ID: S01207 
Title: Automatic Sleep Stage Classification by CNN-Transformer-LSTM using single-channel EEG signal
Authors: Duc Thien Pham and Roman Mouček

Paper ID: S01208
Title: Improving Explainability for Single-Channel EEG Deep Learning Classifiers via Interpretable Filters and Activation Analysis
Authors: Charles Ellis, Robyn Miller, and Vince Calhoun

Paper ID: S01209
Title: Use of Spiking Neural Networks over Augmented EEG Dataset
Authors: Václav Hrabík and Roman Mouček

Paper ID: S01210
Title: Progressive Fourier Transform (PFT): Enhancing Time-Frequency Representation of EEG signals for Stress and Seizure Detection
Authors: Nisreen Amer, Samir Belhaouari, and Halima Bensmail

Paper ID: S01211
Title: IMU-integrated Artifact Subspace Reconstruction for Wearable EEG Devices
Authors: Velu Prabhakar Kumaravel and Elisabetta Farella

Paper ID: S01212
Title: Single-Channel EEG Artifact Identification with the Spectral Slope
Authors: Melissa Fasol, Javier Escudero, and Alfredo Gonzalez-Sulser

Paper ID: S01213
Title: Deep learning applied to EEG data with different montages using spatial attention
Authors: Dung Truong, Muhammad Khalid, and Arnaud Delorme

Paper ID: S01214
Title: Information Geometry Approach to Analyzing Simulated EEG Signals of Alzheimer's Disease Patients and Healthy Control Subjects
Authors: Jia-Chen Hua, Eun-jin Kim, and Fei He

Paper ID: B214
Title: Attention Fusion and Abnormal Brain Topology Neural Network for Mild Depression Recognition  
Authors: Liangliang Liu, Shuting Sun, Guanru Wang, Jing Zhu, Xiaowei Li, and Bin Hu

Paper ID: B223
Title: EEG-Based Depression Recognition Using Convolutional Neural Network with FFT and EMD 
Authors: Jing Zhu, Pengfei Hou, Xin Zhang, Xiaowei Li, and Bin Hu

Paper ID: B225
Title: Neonatal seizure detection combined deep network and meta-learning
Authors: Xueni Li, Jie Liu, Qi Yuan, and Weiwei Nie

Paper ID: B321
Title: Classification of Left/Right Hand and Foot Movements from EEG using Machine Learning Algorithms 
Authors: Dalila Cherifi, Baha Eddine Berghouti, et al.