Nisrine Jrad

Orcid: 0000-0001-8177-999X

According to our database1, Nisrine Jrad authored at least 26 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Multi-View Graph Neural Network for Semantic Image Segmentation.
Proceedings of the Thirteenth IEEE International Conference on Image Processing Theory, 2024

A Novel Unsupervised Approach for Accurate Epileptic Seizure Detection.
Proceedings of the 32nd European Signal Processing Conference, 2024

Cross-Site Generalization Using Attention Layer for Epileptic Seizure Detection.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
A self-attention model for cross-subject seizure detection.
Comput. Biol. Medicine, October, 2023

Cross-Site Generalization for Imbalanced Epileptic Classification.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Deep Learning for scalp High Frequency Oscillations Identification.
Proceedings of the 30th European Signal Processing Conference, 2022

1D vs 2D convolutional neural networks for scalp high frequency oscillations identification.
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2021
Gene expression RNA-sequencing survival analysis of high-grade serous ovarian carcinoma: a comparative study.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2019
Multichannel Time-Frequency Complexity Measures for the Analysis of Age-Related Changes in Neuromagnetic Resting-State Activity.
IEEE J. Biomed. Health Informatics, 2019

Multivariate improved weighted multiscale permutation entropy and its application on EEG data.
Biomed. Signal Process. Control., 2019

A New Mutual Information Measure to Estimate Functional Connectivity: Preliminary Study.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Time-Varying Time-Frequency Complexity Measures for Epileptic EEG Data Analysis.
IEEE Trans. Biomed. Eng., 2018

A New Approach to Sample Entropy of Multi-channel Signals: Application to EEG Signals.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Automatic Detection and Classification of High-Frequency Oscillations in Depth-EEG Signals.
IEEE Trans. Biomed. Eng., 2017

Automatic Detector of Abnormal EEG for Preterm Infants.
Proceedings of the Internet of Things (IoT) Technologies for HealthCare, 2017

A Page-Hinkley based method for HFOs detection in epileptic depth-EEG.
Proceedings of the 25th European Signal Processing Conference, 2017

2015
Classification of high frequency oscillations in epileptic intracerebral EEG.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Mixed-Norm Regularization for Brain Decoding.
Comput. Math. Methods Medicine, 2014

2012
Identification of spatial and temporal features of EEG.
Neurocomputing, 2012

2011
SVM feature selection for multidimensional EEG data.
Proceedings of the IEEE International Conference on Acoustics, 2011

Identification of sparse spatio-temporal features in Evoked Response Potentials.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

A non-orthogonal SVD-based decomposition for phase invariant error-related potential estimation.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Common SpatioTemporal Pattern Analysis.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

2009
Gaussian Mixture Models for multiclass problems with performance constraints.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

2008
Supervised learning rule selection for multiclass decision with performance constraints.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

A Supervised Decision Rule for Multiclass Problems Minimizing a Loss Function.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008


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