Kenneth Revett - researchr alias

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Viewing Publication 1 - 42 from 42

2019

Brain-Inspired Intelligent Systems for Daily AssistanceAnastassia Angelopoulou, José García Rodríguez, Epameinondas Kapetanios, Peter M. Roth, Kenneth Revett. cin, 2019, 2019. [doi]

2015

3D reconstruction of medical images from slices automatically landmarked with growing neural modelsAnastassia Angelopoulou, Alexandra Psarrou, José García Rodríguez, Sergio Orts-Escolano, Jorge Azorín López, Kenneth Revett. ijon, 150:16-25, 2015. [doi]

A wavelet feature extraction method for electrocardiogram (ECG)-based biometric recognitionManal M. Tantawi, Kenneth Revett, Abdel-Badeeh M. Salem, Mohamed F. Tolba. sivp, 9(6):1271-1280, 2015. [doi]

2014

Computer-aided diagnosis of human brain tumor through MRI: A survey and a new algorithmEl-Sayed A. El-Dahshan, Heba M. Mohsen, Kenneth Revett, Abdel-Badeeh M. Salem. eswa, 41(11):5526-5545, 2014. [doi]

PIN generation using EEG: a stability studyRamaswamy Palaniappan, Kenneth Revett. ijbm, 6(2):95-105, 2014. [doi]

A Survey of Electronic Fetal Monitoring: A Computational PerspectiveKenneth Revett, Barna Iantovics. In Barna Iantovics, Roumen Kountchev, editors, Advanced Intelligent Computational Technologies and Decision Support Systems. Volume 486 of Studies in Computational Intelligence, pages 135-141, Springer, 2014. [doi]

Electrocardiogram (ECG): A New Burgeoning Utility for Biometric RecognitionManal M. Tantawi, Kenneth Revett, Abdel-Badeeh M. Salem, Mohamed Fahmy Tolba. In Aboul Ella Hassanien, Tai-Hoon Kim, Janusz Kacprzyk, Ali Ismail Awad, editors, Bio-inspiring Cyber Security and Cloud Services: Trends and Innovations. Volume 70 of Intelligent Systems Reference Library, pages 349-382, Springer, 2014. [doi]

2013

Employment of neural network and rough set in meta-learningMostafa A. Salama, Aboul Ella Hassanien, Kenneth Revett. memetic, 5(3):165-177, 2013. [doi]

2011

2010

2009

Feature selection in Parkinson s disease: A rough sets approachKenneth Revett, Florin Gorunescu, Abdel-Badeeh M. Salem. imcsit 2009: 425-428 [doi]

Machine learning in electrocardiogram diagnosisAbdel-Badeeh M. Salem, Kenneth Revett, El-Sayed A. El-Dahshan. imcsit 2009: 429-433 [doi]

2008

Diagnostic Feature Analysis of a Dobutamine Stress Echocardiography Dataset Using Rough SetsKenneth Revett. trs, 9:318-327, 2008. [doi]

2007

Data Mining an EEG Dataset With an Emphasis on Dimensionality ReductionPari Jahankhani, Kenneth Revett, Vassilis Kodogiannis. cidm 2007: 405-412 [doi]

Examination of the Parameter Space of a Computational Model of Acute Ischaemic Stroke Using Rough SetsKenneth Revett. rskt 2007: 534-541 [doi]

Analysis of a Dobutamine Stress Echocardiography Dataset Using Rough SetsKenneth Revett. rseisp 2007: 756-763 [doi]

On the Use of Rough Sets for Artefact Extraction from EEG DatasetsKenneth Revett. fbit 2007: 425-430 [doi]

On the Use of Rough Sets for User Authentication Via Keystroke DynamicsKenneth Revett, Sérgio Tenreiro de Magalhães, Henrique M. D. Santos. epia 2007: 145-159 [doi]

A Bioinformatics Based Approach to Behavioural BiometricsKenneth Revett. fbit 2007: 665-670 [doi]

A machine learning approach to keystroke dynamics based user authenticationKenneth Revett, Florin Gorunescu, Marina Gorunescu, Marius Ene, Sérgio Tenreiro de Magalhães, Henrique M. Dinis Santos. ijesdf, 1(1):55-70, 2007. [doi]

2006

EEG Signal Classification Using Wavelet Feature Extraction and Neural NetworksPari Jahankhani, Vassilis Kodogiannis, Kenneth Revett. NAS 2006: 120-124 [doi]

An Analysis of a Lymphoma/Leukaemia Dataset Using Rough Sets and Neural NetworksKenneth Revett, Marcin S. Szczuka. ichit 2007: 229-239 [doi]

Enhancing Login Security Through the Use of Keystroke Input DynamicsKenneth Revett, Sérgio Tenreiro de Magalhães, Henrique M. D. Santos. icb 2006: 661-667 [doi]

Attribute Selection for EEG Signal Classification Using Rough Sets and Neural NetworksKenneth Revett, Marcin S. Szczuka, Pari Jahankhani, Vassilis Kodogiannis. rsctc 2006: 408-417 [doi]

A Machine Learning Approach to Differentiating Bacterial From Viral MeningitisKenneth Revett, Florin Gorunescu, Marius Ene. NAS 2006: 155-162 [doi]

Automatically Building 2::::D:::: Statistical Shapes Using the Topology Preservation Model GNGJosé García Rodríguez, Anastassia Angelopoulou, Alexandra Psarrou, Kenneth Revett. ACCV 2006: 519-528 [doi]

2005

Automatic Landmarking of 2::::D:::: Medical Shapes Using the Growing Neural Gas NetworkAnastassia Angelopoulou, Alexandra Psarrou, José García Rodríguez, Kenneth Revett. cvbia 2005: 210-219 [doi]

An Automated Anomaly EEG Detection Algorithm using Discrete Wavelet TransformsPari Jahankhani, Kenneth Revett, Lynne Spackman, Vassilis S. Kodogiannis, Stewart Boyd. iicai 2005: 2679-2685

A Rough Sets Based Breast Cancer Decision Support SystemKenneth Revett, Aurangzeb Khan. metmbs 2005: 315-320

Classifying Heart Disease Datasets Using Rough SetsKenneth Revett, Aurangzeb Khan. metmbs 2005: 321-325

A Rough Set-Based Magnetic Resonance Imaging Partial Volume Detection SystemSebastian Widz, Kenneth Revett, Dominik Slezak. premi 2005: 756-761 [doi]

A Hybrid Approach to MR Imaging Segmentation Using Unsupervised Clustering and Approximate ReductsSebastian Widz, Kenneth Revett, Dominik Slezak. rsfdgrc 2005: 372-382 [doi]

2004

Utilizing Staging Tables in Data Integration to Load Data into Materialized ViewsAhmed Ejaz, Kenneth Revett. cis 2004: 685-691 [doi]

An Automated Multi-spectral MRI Segmentation Algorithm Using Approximate ReductsSebastian Widz, Kenneth Revett, Dominik Slezak. rsctc 2004: 815-824 [doi]

1999

Pathogenic mechanisms in ischemic damage: a computational studyEytan Ruppin, Elad Ofer, James A. Reggia, Kenneth Revett, Sharon Goodall. cbm, 29(1):39-59, 1999. [doi]

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Publications by 'Kenneth Revett'

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2019

2015

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2010

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2008

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2006

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1999

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