Samaneh Kouchaki

According to our database, Samaneh Kouchaki authored at least 33 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Digital remote monitoring for screening and early detection of urinary tract infections.

Alexander Capstick, Francesca Palermo, Kimberley Zakka, Nan Fletcher-Lloyd, Chloe Walsh, Tianyu Cui, Samaneh Kouchaki, Raphaella Jackson, Martin Tran, Michael Crone, Kirsten Jensen, Paul S. Freemont, Ravi Vaidyanathan, Magdalena Kolanko, Jessica True, Sarah Daniels, David Wingfield, Ramin Nilforooshan, Payam M. Barnaghi

npj Digit. Medicine, 2024

2023

Privacy-Aware Early Detection of COVID-19 Through Adversarial Training.

Omid Rohanian, Samaneh Kouchaki, Andrew A. S. Soltan, Jenny Yang, Morteza Rohanian, Yang Yang, David A. Clifton

IEEE J. Biomed. Health Informatics, March, 2023

On the effectiveness of compact biomedical transformers.

Omid Rohanian, Mohammadmahdi Nouriborji, Samaneh Kouchaki, David A. Clifton

Bioinform., March, 2023

Interpreting Differentiable Latent States for Healthcare Time-series Data.

Yu Chen, Nivedita Bijlani, Samaneh Kouchaki, Payam M. Barnaghi

CoRR, 2023

Lightweight Transformers for Clinical Natural Language Processing.

Omid Rohanian, Mohammadmahdi Nouriborji, Hannah Jauncey, Samaneh Kouchaki, Lei A. Clifton, Laura Merson, David A. Clifton

CoRR, 2023

MiniALBERT: Model Distillation via Parameter-Efficient Recursive Transformers.

Mohammadmahdi Nouriborji, Omid Rohanian, Samaneh Kouchaki, David A. Clifton

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

Predicting protein phosphorylation sites in soybean using interpretable deep tabular learning network.

Elham Khalili, Shahin Ramazi, Faezeh Ghanati, Samaneh Kouchaki

Briefings Bioinform., 2022

A Dopamine Based Adaptive Emotional Neural Network.

Mohammad Amin Zare, Reza Boostani, Mokhtar Mohammadi, Samaneh Kouchaki

IEEE Access, 2022

G-CMP: Graph-enhanced Contextual Matrix Profile for unsupervised anomaly detection in sensor-based remote health monitoring.

Nivedita Bijlani, Oscar Mendez Maldonado, Samaneh Kouchaki

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Designing A Clinically Applicable Deep Recurrent Model to Identify Neuropsychiatric Symptoms in People Living with Dementia Using In-Home Monitoring Data.

Francesca Palermo, Honglin Li, Alexander Capstick, Nan Fletcher-Lloyd, Yuchen Zhao, Samaneh Kouchaki, Ramin Nilforooshan, David J. Sharp, Payam M. Barnaghi

CoRR, 2021

A Hamiltonian Monte Carlo Model for Imputation and Augmentation of Healthcare Data.

Narges Pourshahrokhi, Samaneh Kouchaki, Kord M. Kober, Christine Miaskowski, Payam M. Barnaghi

CoRR, 2021

An end-to-end heterogeneous graph attention network for Mycobacterium tuberculosis drug-resistance prediction.

Yang Yang, Timothy M. Walker, Samaneh Kouchaki, Chenyang Wang, Timothy E. A Peto, Derrick W. Crook, David A. Clifton

Briefings Bioinform., 2021

Generative adversarial attacks on motion-based continuous authentication schemes.

Narges Pourshahrokhi, Max Smith-Creasey, Mona Ghassemian, Samaneh Kouchaki

Proceedings of the 14th International Conference on Security of Information and Networks, 2021

2019

Application of machine learning techniques to tuberculosis drug resistance analysis.

Samaneh Kouchaki, Yang Yang, Timothy M. Walker, A. Sarah Walker, Daniel J. Wilson, Timothy E. A Peto, Derrick W. Crook, CRyPTIC Consortium, David A. Clifton

Bioinform., 2019

Bridging the Gap: Attending to Discontinuity in Identification of Multiword Expressions.

Omid Rohanian, Shiva Taslimipoor, Samaneh Kouchaki, Le An Ha, Ruslan Mitkov

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Tensor Factorisation and Transfer Learning for Sleep Pose Detection.

Sara Mahvash Mohammadi, Samaneh Kouchaki, Saeid Sanei, Derk-Jan Dijk, Adrian Hilton, Kevin Wells

Proceedings of the 27th European Signal Processing Conference, 2019

Two-Step Deep Learning for Estimating Human Sleep Pose Occluded by Bed Covers.

Sara Mahvash Mohammadi, Samaneh Kouchaki, Sofia Khan, Derk-Jan Dijk, Adrian Hilton, Kevin Wells

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Multiview Classification and Dimensionality Reduction of Scalp and Intracranial EEG Data through Tensor Factorisation.

Loukianos Spyrou, Samaneh Kouchaki, Saeid Sanei

J. Signal Process. Syst., 2018

2017

Tensor factorisation for narrowband single channel source decomposition.

Samaneh Kouchaki, Saeid Sanei

J. Frankl. Inst., 2017

One dimensional local binary patterns of electroencephalogram signals for detecting Alzheimer's disease.

Santosh Tirunagari, Samaneh Kouchaki, Daniel Abásolo, Norman Poh

Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

Marginalised stack denoising autoencoders for metagenomic data binning.

Samaneh Kouchaki, Santosh Tirunagari, Avraam Tapinos, David L. Robertson

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2017

2016

Visualisation of survey responses using self-organising maps: A case study on diabetes self-care factors.

Santosh Tirunagari, Simon C. Bull, Samaneh Kouchaki, Deborah Cooke, Norman Poh

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Local binary patterns as a feature descriptor in alignment-free visualisation of metagenomic data.

Samaneh Kouchaki, Santosh Tirunagari, Avraam Tapinos, David L. Robertson

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2015

Tensor based source separation for single and multichannel signals.

Samaneh Kouchaki

PhD thesis, 2015

Multiview classification of brain data through tensor factorisation.

Loukianos Spyrou, Samaneh Kouchaki, Saeid Sanei

Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Detection of Parkinson's tremor from EMG signals; a singular spectrum analysis approach.

Konstantinos Eftaxias, Shirin Enshaeifar, Oana Geman, Samaneh Kouchaki, Saeid Sanei

Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

Tensor Factorisation Approach for Separation of Convolutive Complex Communication Signals.

Samaneh Kouchaki, Saeid Sanei

Proceedings of the Latent Variable Analysis and Signal Separation, 2015

Complex tensor based blind source separation of EEG for tracking P300 subcomponents.

Samaneh Kouchaki, Shirin Enshaeifar, Clive Cheong Took, Saeid Sanei

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014

Symmetric tensor decomposition of narrowband single channel signals.

Samaneh Kouchaki, Saeid Sanei

Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

2013

Supervised single channel source separation of EEG signals.

Samaneh Kouchaki, Saeid Sanei

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Tensor based singular spectrum analysis for nonstationary source separation.

Samaneh Kouchaki, Saeid Sanei

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

New spatially constrained source separation using tensor decomposition.

Samaneh Kouchaki, Saeid Sanei

Proceedings of the 18th International Conference on Digital Signal Processing, 2013

Assessing rehabilitative reach and grasp movements with Singular Spectrum Analysis.

Tracey Kah-Mein Lee, Sharon S. W. Gan, Saeid Sanei, Samaneh Kouchaki

Proceedings of the 21st European Signal Processing Conference, 2013