Samaneh Kouchaki

Orcid: 0000-0002-5870-4030

According to our database1, Samaneh Kouchaki authored at least 38 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
AI- and IoT-Enabled Solutions for Healthcare.
Sensors, April, 2024

Digital remote monitoring for screening and early detection of urinary tract infections.
npj Digit. Medicine, 2024

Lightweight transformers for clinical natural language processing.
Nat. Lang. Eng., 2024

Utilizing graph neural networks for adverse health detection and personalized decision making in sensor-based remote monitoring for dementia care.
Comput. Biol. Medicine, 2024

Exploring the effectiveness of instruction tuning in biomedical language processing.
Artif. Intell. Medicine, 2024

2023
Privacy-Aware Early Detection of COVID-19 Through Adversarial Training.
IEEE J. Biomed. Health Informatics, March, 2023

On the effectiveness of compact biomedical transformers.
Bioinform., March, 2023

Interpreting Differentiable Latent States for Healthcare Time-series Data.
CoRR, 2023

Lightweight Transformers for Clinical Natural Language Processing.
CoRR, 2023

MiniALBERT: Model Distillation via Parameter-Efficient Recursive Transformers.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Folded Hamiltonian Monte Carlo for Bayesian Generative Adversarial Networks.
Proceedings of the Asian Conference on Machine Learning, 2023

2022
Predicting protein phosphorylation sites in soybean using interpretable deep tabular learning network.
Briefings Bioinform., 2022

A Dopamine Based Adaptive Emotional Neural Network.
IEEE Access, 2022

G-CMP: Graph-enhanced Contextual Matrix Profile for unsupervised anomaly detection in sensor-based remote health monitoring.
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.
CoRR, 2021

A Hamiltonian Monte Carlo Model for Imputation and Augmentation of Healthcare Data.
CoRR, 2021

An end-to-end heterogeneous graph attention network for Mycobacterium tuberculosis drug-resistance prediction.
Briefings Bioinform., 2021

Generative adversarial attacks on motion-based continuous authentication schemes.
Proceedings of the 14th International Conference on Security of Information and Networks, 2021

2019
Application of machine learning techniques to tuberculosis drug resistance analysis.
Bioinform., 2019

Bridging the Gap: Attending to Discontinuity in Identification of Multiword Expressions.
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.
Proceedings of the 27th European Signal Processing Conference, 2019

Two-Step Deep Learning for Estimating Human Sleep Pose Occluded by Bed Covers.
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.
J. Signal Process. Syst., 2018

2017
Tensor factorisation for narrowband single channel source decomposition.
J. Frankl. Inst., 2017

One dimensional local binary patterns of electroencephalogram signals for detecting Alzheimer's disease.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

Marginalised stack denoising autoencoders for metagenomic data binning.
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.
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.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2015
Tensor based source separation for single and multichannel signals.
PhD thesis, 2015

Multiview classification of brain data through tensor factorisation.
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.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

Tensor Factorisation Approach for Separation of Convolutive Complex Communication Signals.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

Complex tensor based blind source separation of EEG for tracking P300 subcomponents.
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.
Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

2013
Supervised single channel source separation of EEG signals.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Tensor based singular spectrum analysis for nonstationary source separation.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

New spatially constrained source separation using tensor decomposition.
Proceedings of the 18th International Conference on Digital Signal Processing, 2013

Assessing rehabilitative reach and grasp movements with Singular Spectrum Analysis.
Proceedings of the 21st European Signal Processing Conference, 2013


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