Samaneh Kouchaki

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 35

Top Venues

University of Surrey, Guildford, UK (PHD)

Education History

University of Surrey, Guildford, UK

PHD

Publications

Samaneh Kouchaki, Xiaorong Ding, Saeid Sanei
AI- and IoT-Enabled Solutions for Healthcare. Sensors 24 (8) (2024)
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
Digital remote monitoring for screening and early detection of urinary tract infections. npj Digit. Medicine 7 (1) (2024)
Narges Pourshahrokhi, Yunpeng Li, Samaneh Kouchaki, Payam M. Barnaghi
Folded Hamiltonian Monte Carlo for Bayesian Generative Adversarial Networks. ACML (2023)
Yu Chen, Nivedita Bijlani, Samaneh Kouchaki, Payam M. Barnaghi
Interpreting Differentiable Latent States for Healthcare Time-series Data. CoRR (2023)
Omid Rohanian, Mohammadmahdi Nouriborji, Samaneh Kouchaki, David A. Clifton
On the effectiveness of compact biomedical transformers. Bioinform. 39 (3) (2023)
Omid Rohanian, Samaneh Kouchaki, Andrew A. S. Soltan, Jenny Yang, Morteza Rohanian, Yang Yang, David A. Clifton
Privacy-Aware Early Detection of COVID-19 Through Adversarial Training. IEEE J. Biomed. Health Informatics 27 (3) (2023)
Mohammadmahdi Nouriborji, Omid Rohanian, Samaneh Kouchaki, David A. Clifton
MiniALBERT: Model Distillation via Parameter-Efficient Recursive Transformers. EACL (2023)
Omid Rohanian, Mohammadmahdi Nouriborji, Hannah Jauncey, Samaneh Kouchaki, Lei A. Clifton, Laura Merson, David A. Clifton
Lightweight Transformers for Clinical Natural Language Processing. CoRR (2023)
Nivedita Bijlani, Oscar Mendez Maldonado, Samaneh Kouchaki
G-CMP: Graph-enhanced Contextual Matrix Profile for unsupervised anomaly detection in sensor-based remote health monitoring. CoRR (2022)
Nivedita Bijlani, Oscar Mendez Maldonado, Samaneh Kouchaki
G-CMP: Graph-enhanced Contextual Matrix Profile for unsupervised anomaly detection in sensor-based remote health monitoring. BMVC (2022)
Omid Rohanian, Mohammadmahdi Nouriborji, Samaneh Kouchaki, David A. Clifton
On the Effectiveness of Compact Biomedical Transformers. CoRR (2022)
Elham Khalili, Shahin Ramazi, Faezeh Ghanati, Samaneh Kouchaki
Predicting protein phosphorylation sites in soybean using interpretable deep tabular learning network. Briefings Bioinform. 23 (2) (2022)
Omid Rohanian, Samaneh Kouchaki, Andrew Soltan, Jenny Yang, Morteza Rohanian, Yang Yang, David A. Clifton
Privacy-aware Early Detection of COVID-19 through Adversarial Training. CoRR (2022)
Mohammadmahdi Nouriborji, Omid Rohanian, Samaneh Kouchaki, David A. Clifton
MiniALBERT: Model Distillation via Parameter-Efficient Recursive Transformers. CoRR (2022)
Mohammad Amin Zare, Reza Boostani, Mokhtar Mohammadi, Samaneh Kouchaki
A Dopamine Based Adaptive Emotional Neural Network. IEEE Access 10 (2022)
Narges Pourshahrokhi, Samaneh Kouchaki, Kord M. Kober, Christine Miaskowski, Payam M. Barnaghi
A Hamiltonian Monte Carlo Model for Imputation and Augmentation of Healthcare Data. CoRR (2021)
Yang Yang, Timothy M. Walker, Samaneh Kouchaki, Chenyang Wang, Timothy E. A Peto, Derrick W. Crook, David A. Clifton
An end-to-end heterogeneous graph attention network for Mycobacterium tuberculosis drug-resistance prediction. Briefings Bioinform. 22 (6) (2021)
Narges Pourshahrokhi, Max Smith-Creasey, Mona Ghassemian, Samaneh Kouchaki
Generative adversarial attacks on motion-based continuous authentication schemes. SIN (2021)
Francesca Palermo, Honglin Li, Alexander Capstick, Nan Fletcher-Lloyd, Yuchen Zhao, Samaneh Kouchaki, Ramin Nilforooshan, David J. Sharp, Payam M. Barnaghi
Designing A Clinically Applicable Deep Recurrent Model to Identify Neuropsychiatric Symptoms in People Living with Dementia Using In-Home Monitoring Data. CoRR (2021)
Sara Mahvash Mohammadi, Samaneh Kouchaki, Saeid Sanei, Derk-Jan Dijk, Adrian Hilton, Kevin Wells
Tensor Factorisation and Transfer Learning for Sleep Pose Detection. EUSIPCO (2019)
Sara Mahvash Mohammadi, Samaneh Kouchaki, Sofia Khan, Derk-Jan Dijk, Adrian Hilton, Kevin Wells
Two-Step Deep Learning for Estimating Human Sleep Pose Occluded by Bed Covers. EMBC (2019)
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
Application of machine learning techniques to tuberculosis drug resistance analysis. Bioinform. 35 (13) (2019)
Omid Rohanian, Shiva Taslimipoor, Samaneh Kouchaki, Le An Ha, Ruslan Mitkov
Bridging the Gap: Attending to Discontinuity in Identification of Multiword Expressions. NAACL-HLT (1) (2019)
Omid Rohanian, Shiva Taslimipoor, Samaneh Kouchaki, Le An Ha, Ruslan Mitkov
Bridging the Gap: Attending to Discontinuity in Identification of Multiword Expressions. CoRR (2019)
Loukianos Spyrou, Samaneh Kouchaki, Saeid Sanei
Multiview Classification and Dimensionality Reduction of Scalp and Intracranial EEG Data through Tensor Factorisation. J. Signal Process. Syst. 90 (2) (2018)
Samaneh Kouchaki, Santosh Tirunagari, Avraam Tapinos, David L. Robertson
Marginalised stack denoising autoencoders for metagenomic data binning. CIBCB (2017)
Santosh Tirunagari, Samaneh Kouchaki, Daniel Abásolo, Norman Poh
One dimensional local binary patterns of electroencephalogram signals for detecting Alzheimer's disease. DSP (2017)
Samaneh Kouchaki, Saeid Sanei
Tensor factorisation for narrowband single channel source decomposition. J. Frankl. Inst. 354 (7) (2017)
Santosh Tirunagari, Simon C. Bull, Samaneh Kouchaki, Deborah Cooke, Norman Poh
Visualisation of Survey Responses using Self-Organising Maps: A Case Study on Diabetes Self-care Factors. CoRR (2016)
Samaneh Kouchaki, Santosh Tirunagari, Avraam Tapinos, David L. Robertson
Local binary patterns as a feature descriptor in alignment-free visualisation of metagenomic data. SSCI (2016)
Santosh Tirunagari, Simon C. Bull, Samaneh Kouchaki, Deborah Cooke, Norman Poh
Visualisation of survey responses using self-organising maps: A case study on diabetes self-care factors. SSCI (2016)
Konstantinos Eftaxias, Shirin Enshaeifar, Oana Geman, Samaneh Kouchaki, Saeid Sanei
Detection of Parkinson's tremor from EMG signals; a singular spectrum analysis approach. DSP (2015)
Samaneh Kouchaki, Saeid Sanei
Tensor Factorisation Approach for Separation of Convolutive Complex Communication Signals. LVA/ICA (2015)
Loukianos Spyrou, Samaneh Kouchaki, Saeid Sanei
Multiview classification of brain data through tensor factorisation. MLSP (2015)
Samaneh Kouchaki, Shirin Enshaeifar, Clive Cheong Took, Saeid Sanei
Complex tensor based blind source separation of EEG for tracking P300 subcomponents. EMBC (2015)
Samaneh Kouchaki, Saeid Sanei
Symmetric tensor decomposition of narrowband single channel signals. SAM (2014)
Samaneh Kouchaki, Saeid Sanei
Tensor based singular spectrum analysis for nonstationary source separation. MLSP (2013)
Tracey Kah-Mein Lee, Sharon S. W. Gan, Saeid Sanei, Samaneh Kouchaki
Assessing rehabilitative reach and grasp movements with Singular Spectrum Analysis. EUSIPCO (2013)
Samaneh Kouchaki, Saeid Sanei
Supervised single channel source separation of EEG signals. MLSP (2013)
Samaneh Kouchaki, Saeid Sanei
New spatially constrained source separation using tensor decomposition. DSP (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Samaneh Kouchaki