Mahta Mousavi

Orcid: 0000-0002-0139-7295

According to our database1, Mahta Mousavi authored at least 13 papers between 2017 and 2022.

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

Timeline

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Links

On csauthors.net:

Bibliography

2022
Enabling Heterogeneous Domain Adaptation in Multi-inhabitants Smart Home Activity Learning.
CoRR, 2022

Spectrally Adaptive Common Spatial Patterns.
CoRR, 2022

Enabling Heterogeneous Domain Adaptation in Multi-inhabitants Smart Home Activity Learning.
Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

Multi-Subject Unsupervised Transfer with Weighted Subspace Alignment for Common Spatial Patterns.
Proceedings of the 10th International Winter Conference on Brain-Computer Interface, 2022

2021
Motor imagery performance from calibration to online control in EEG-based brain-computer interfaces.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

2019
An Empirical Study on Post-processing Methods for Word Embeddings.
CoRR, 2019

Salience versus Valence in Implicit Cursor Control: First Indications of Separate Cortical Processes.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Temporally Adaptive Common Spatial Patterns with Deep Convolutional Neural Networks.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Towards Classifier Visualisation in 3D Source Space.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Adaptive CSP with subspace alignment for subject-to-subject transfer in motor imagery brain-computer interfaces.
Proceedings of the 6th International Conference on Brain-Computer Interface, 2018

2017
Towards Elaborated feedback for Training motor imagery brain Computer Interfaces.
Proceedings of the From Vision to Reality, 2017

Csp-NN: a Convolutional Neural Network Implementation of Common Spatial Patterns.
Proceedings of the From Vision to Reality, 2017

Deep Recurrent Convolutional Neural Networks for Classifying P300 BCI signals.
Proceedings of the From Vision to Reality, 2017


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