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AI- and IoT-Enabled Solutions for Healthcare

Sensors (Basel, Switzerland), 2024-04, Vol.24 (8), p.2607

2024

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Network analysis to identify symptoms clusters and temporal interconnections in oncology patients

Scientific reports, 2022-10, Vol.12 (1), p.17052-19, Article 17052

2022

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Machine Learning Techniques for Soybean Charcoal Rot Disease Prediction

Frontiers in plant science, 2020-12, Vol.11, p.590529-590529

2020

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A signal processing method for alignment-free metagenomic binning: multi-resolution genomic binary patterns

Scientific reports, 2019-02, Vol.9 (1), p.2159-2159, Article 2159

2019

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Tensor Based Singular Spectrum Analysis for Automatic Scoring of Sleep EEG

IEEE transactions on neural systems and rehabilitation engineering, 2015-01, Vol.23 (1), p.1-9

2015

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An Unsupervised Data-Driven Anomaly Detection Approach for Adverse Health Conditions in People Living With Dementia: Cohort Study

JMIR aging, 2022-09, Vol.5 (3), p.e38211-e38211

2022

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A Dopamine Based Adaptive Emotional Neural Network

IEEE access, 2022, Vol.10, p.1-1

2022

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Multi-Label Random Forest Model for Tuberculosis Drug Resistance Classification and Mutation Ranking

Frontiers in microbiology, 2020-04, Vol.11, p.667-667

2020

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Machine Learning to Advance Human Genome-Wide Association Studies

Genes, 2024-01, Vol.15 (1), p.34

2024

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TIHM: An open dataset for remote healthcare monitoring in dementia

Scientific data, 2023-09, Vol.10 (1), p.606-606, Article 606

2023

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The Utility of Data Transformation for Alignment, De Novo Assembly and Classification of Short Read Virus Sequences

Viruses, 2019-04, Vol.11 (5), p.394

2019

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

NPJ digital medicine, 2024-01, Vol.7 (1), p.11-11, Article 11

2024

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Development and validation of early warning score systems for COVID‐19 patients

Healthcare technology letters, 2021-10, Vol.8 (5), p.105-117

2021

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

Briefings in bioinformatics, 2022-03, Vol.23 (2)

2022

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A generalizable unsupervised graph‐based approach for anomalous event detection in people living with dementia

Alzheimer's & dementia, 2023-12, Vol.19 (S19), p.n/a

2023

Volltextzugriff (PDF)

A generalizable unsupervised graph‐based approach for anomalous event detection in people living with dementia

Alzheimer's & dementia, 2023-12, Vol.19 (S11), p.n/a

2023

Volltextzugriff (PDF)

A lightweight unsupervised approach for adverse health detection and digital biomarker discovery in people living with dementia

Alzheimer's & dementia, 2023-06, Vol.19 (S5), p.n/a

2023

Volltextzugriff (PDF)

Tensor factorisation for narrowband single channel source decomposition

Journal of the Franklin Institute, 2017-05, Vol.354 (7), p.3152-3169

2017

Volltextzugriff (PDF)

On the effectiveness of compact biomedical transformers

Bioinformatics (Oxford, England), 2023-03, Vol.39 (3)

2023

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

Journal of signal processing systems, 2018-02, Vol.90 (2), p.273-284

2018

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Improving time–frequency domain sleep EEG classification via singular spectrum analysis

Journal of neuroscience methods, 2016-11, Vol.273, p.96-106

2016

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

IEEE journal of biomedical and health informatics, 2023-03, Vol.27 (3), p.1249-1258

2023

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Quaternion Singular Spectrum Analysis of Electroencephalogram With Application in Sleep Analysis

IEEE transactions on neural systems and rehabilitation engineering, 2016-01, Vol.24 (1), p.57-67

2016

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Analysing behavioural changes in people with dementia using in‐home monitoring technologies

Alzheimer's & dementia, 2021-12, Vol.17 (S11), p.e052181-n/a

2021

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Objective assessment of sleep parameters using multimodal AX3 data in older participants

Alzheimer's & dementia, 2023-06, Vol.19 (S5), p.n/a

2023

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AI- and IoT-Enabled Solutions for Healthcare

Network analysis to identify symptoms clusters and temporal interconnections in oncology patients

Machine Learning Techniques for Soybean Charcoal Rot Disease Prediction

A signal processing method for alignment-free metagenomic binning: multi-resolution genomic binary patterns

Tensor Based Singular Spectrum Analysis for Automatic Scoring of Sleep EEG

An Unsupervised Data-Driven Anomaly Detection Approach for Adverse Health Conditions in People Living With Dementia: Cohort Study

A Dopamine Based Adaptive Emotional Neural Network

Multi-Label Random Forest Model for Tuberculosis Drug Resistance Classification and Mutation Ranking

Machine Learning to Advance Human Genome-Wide Association Studies

TIHM: An open dataset for remote healthcare monitoring in dementia

The Utility of Data Transformation for Alignment, De Novo Assembly and Classification of Short Read Virus Sequences

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

Development and validation of early warning score systems for COVID‐19 patients

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

A generalizable unsupervised graph‐based approach for anomalous event detection in people living with dementia

A generalizable unsupervised graph‐based approach for anomalous event detection in people living with dementia

A lightweight unsupervised approach for adverse health detection and digital biomarker discovery in people living with dementia

Tensor factorisation for narrowband single channel source decomposition

On the effectiveness of compact biomedical transformers

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

Improving time–frequency domain sleep EEG classification via singular spectrum analysis

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

Quaternion Singular Spectrum Analysis of Electroencephalogram With Application in Sleep Analysis

Analysing behavioural changes in people with dementia using in‐home monitoring technologies

Objective assessment of sleep parameters using multimodal AX3 data in older participants

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