Samaneh Kouchaki
Orcid: 0000-0002-5870-4030
According to our database1,
Samaneh Kouchaki
authored at least 38 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Digital remote monitoring for screening and early detection of urinary tract infections.
npj Digit. Medicine, 2024
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
Artif. Intell. Medicine, 2024
2023
IEEE J. Biomed. Health Informatics, March, 2023
CoRR, 2023
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
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
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
CoRR, 2021
An end-to-end heterogeneous graph attention network for Mycobacterium tuberculosis drug-resistance prediction.
Briefings Bioinform., 2021
Proceedings of the 14th International Conference on Security of Information and Networks, 2021
2019
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
Proceedings of the 27th European Signal Processing Conference, 2019
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
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
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
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
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014
2013
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013
Proceedings of the 18th International Conference on Digital Signal Processing, 2013
Proceedings of the 21st European Signal Processing Conference, 2013