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Samaneh Kouchaki
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2020 – today
- 2024
- [j11]Nivedita Bijlani, Oscar Mendez Maldonado, Ramin Nilforooshan, Payam M. Barnaghi, Samaneh Kouchaki:
Utilizing graph neural networks for adverse health detection and personalized decision making in sensor-based remote monitoring for dementia care. Comput. Biol. Medicine 183: 109287 (2024) - [j10]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) - [j9]Samaneh Kouchaki, Xiaorong Ding, Saeid Sanei:
AI- and IoT-Enabled Solutions for Healthcare. Sensors 24(8): 2607 (2024) - 2023
- [j8]Omid Rohanian, Mohammadmahdi Nouriborji, Samaneh Kouchaki, David A. Clifton:
On the effectiveness of compact biomedical transformers. Bioinform. 39(3) (2023) - [j7]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): 1249-1258 (2023) - [c20]Narges Pourshahrokhi, Yunpeng Li, Samaneh Kouchaki, Payam M. Barnaghi:
Folded Hamiltonian Monte Carlo for Bayesian Generative Adversarial Networks. ACML 2023: 1103-1118 - [c19]Mohammadmahdi Nouriborji, Omid Rohanian, Samaneh Kouchaki, David A. Clifton:
MiniALBERT: Model Distillation via Parameter-Efficient Recursive Transformers. EACL 2023: 1153-1165 - [i10]Omid Rohanian, Mohammadmahdi Nouriborji, Hannah Jauncey, Samaneh Kouchaki, Lei A. Clifton, Laura Merson, David A. Clifton:
Lightweight Transformers for Clinical Natural Language Processing. CoRR abs/2302.04725 (2023) - [i9]Yu Chen, Nivedita Bijlani, Samaneh Kouchaki, Payam M. Barnaghi:
Interpreting Differentiable Latent States for Healthcare Time-series Data. CoRR abs/2311.17560 (2023) - 2022
- [j6]Mohammad Amin Zare, Reza Boostani, Mokhtar Mohammadi, Samaneh Kouchaki:
A Dopamine Based Adaptive Emotional Neural Network. IEEE Access 10: 109460-109475 (2022) - [j5]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) - [c18]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: 854 - [i8]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. CoRR abs/2201.03004 (2022) - [i7]Omid Rohanian, Mohammadmahdi Nouriborji, Samaneh Kouchaki, David A. Clifton:
On the Effectiveness of Compact Biomedical Transformers. CoRR abs/2209.03182 (2022) - [i6]Mohammadmahdi Nouriborji, Omid Rohanian, Samaneh Kouchaki, David A. Clifton:
MiniALBERT: Model Distillation via Parameter-Efficient Recursive Transformers. CoRR abs/2210.06425 (2022) - [i5]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 abs/2211.16122 (2022) - 2021
- [j4]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) - [c17]Narges Pourshahrokhi, Max Smith-Creasey, Mona Ghassemian, Samaneh Kouchaki:
Generative adversarial attacks on motion-based continuous authentication schemes. SIN 2021: 1-6 - [i4]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 abs/2103.02349 (2021) - [i3]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 abs/2110.09868 (2021)
2010 – 2019
- 2019
- [j3]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): 2276-2282 (2019) - [c16]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: 3115-3118 - [c15]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: 1-5 - [c14]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: 2692-2698 - [i2]Omid Rohanian, Shiva Taslimipoor, Samaneh Kouchaki, Le An Ha, Ruslan Mitkov:
Bridging the Gap: Attending to Discontinuity in Identification of Multiword Expressions. CoRR abs/1902.10667 (2019) - 2018
- [j2]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): 273-284 (2018) - 2017
- [j1]Samaneh Kouchaki, Saeid Sanei:
Tensor factorisation for narrowband single channel source decomposition. J. Frankl. Inst. 354(7): 3152-3169 (2017) - [c13]Samaneh Kouchaki, Santosh Tirunagari, Avraam Tapinos, David L. Robertson:
Marginalised stack denoising autoencoders for metagenomic data binning. CIBCB 2017: 1-6 - [c12]Santosh Tirunagari, Samaneh Kouchaki, Daniel Abásolo, Norman Poh:
One dimensional local binary patterns of electroencephalogram signals for detecting Alzheimer's disease. DSP 2017: 1-5 - 2016
- [c11]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: 1-6 - [c10]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: 1-6 - [i1]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 abs/1609.05716 (2016) - 2015
- [b1]Samaneh Kouchaki:
Tensor based source separation for single and multichannel signals. University of Surrey, Guildford, UK, 2015 - [c9]Samaneh Kouchaki, Shirin Enshaeifar, Clive Cheong Took, Saeid Sanei:
Complex tensor based blind source separation of EEG for tracking P300 subcomponents. EMBC 2015: 6999-7002 - [c8]Samaneh Kouchaki, Saeid Sanei:
Tensor Factorisation Approach for Separation of Convolutive Complex Communication Signals. LVA/ICA 2015: 56-63 - [c7]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: 398-402 - [c6]Loukianos Spyrou, Samaneh Kouchaki, Saeid Sanei:
Multiview classification of brain data through tensor factorisation. MLSP 2015: 1-6 - 2014
- [c5]Samaneh Kouchaki, Saeid Sanei:
Symmetric tensor decomposition of narrowband single channel signals. SAM 2014: 453-456 - 2013
- [c4]Tracey Kah-Mein Lee, Sharon S. W. Gan, Saeid Sanei, Samaneh Kouchaki:
Assessing rehabilitative reach and grasp movements with Singular Spectrum Analysis. EUSIPCO 2013: 1-5 - [c3]Samaneh Kouchaki, Saeid Sanei:
New spatially constrained source separation using tensor decomposition. DSP 2013: 1-4 - [c2]Samaneh Kouchaki, Saeid Sanei:
Tensor based singular spectrum analysis for nonstationary source separation. MLSP 2013: 1-5 - [c1]Samaneh Kouchaki, Saeid Sanei:
Supervised single channel source separation of EEG signals. MLSP 2013: 1-5
Coauthor Index
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last updated on 2024-11-07 21:28 CET by the dblp team
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