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Kenneth Revett
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2010 – 2019
- 2019
- [j14]Anastassia Angelopoulou
, José García Rodríguez
Brain-Inspired Intelligent Systems for Daily Assistance. Comput. Intell. Neurosci. 2019: 7597839:1-7597839:2 (2019) - 2015
- [j13]Anastassia Angelopoulou
3D reconstruction of medical images from slices automatically landmarked with growing neural models. Neurocomputing 150: 16-25 (2015) - [j12]Manal M. Tantawi
A wavelet feature extraction method for electrocardiogram (ECG)-based biometric recognition. Signal Image Video Process. 9(6): 1271-1280 (2015) - 2014
- [j11]El-Sayed A. El-Dahshan
Computer-aided diagnosis of human brain tumor through MRI: A survey and a new algorithm. Expert Syst. Appl. 41(11): 5526-5545 (2014) - [j10]Ramaswamy Palaniappan, Kenneth Revett:
PIN generation using EEG: a stability study. Int. J. Biom. 6(2): 95-105 (2014) - [p2]Manal M. Tantawi
Electrocardiogram (ECG): A New Burgeoning Utility for Biometric Recognition. Bio-inspiring Cyber Security and Cloud Services 2014: 349-382 - [p1]Kenneth Revett, Barna Iantovics:
A Survey of Electronic Fetal Monitoring: A Computational Perspective. Advanced Intelligent Computational Technologies and Decision Support Systems 2014: 135-141 - 2013
- [j9]Manal M. Tantawi
Fiducial feature reduction analysis for electrocardiogram (ECG) based biometric recognition. J. Intell. Inf. Syst. 40(1): 17-39 (2013) - [j8]Mostafa A. Salama
Employment of neural network and rough set in meta-learning. Memetic Comput. 5(3): 165-177 (2013) - [j7]Hala Mousher Ebied
Evaluation of unsupervised feature extraction neural networks for face recognition. Neural Comput. Appl. 22(6): 1211-1222 (2013) - 2011
- [j6]Andreas Riener
Subliminal Communication in Human-Computer Interaction. Adv. Hum. Comput. Interact. 2011: 156028:1-156028:3 (2011) - [c28]Ramaswamy Palaniappan
PIN Generation Using Single Channel EEG Biometric. ACC (4) 2011: 378-385 - [c27]Mostafa A. Salama, Nashwa El-Bendary, Aboul Ella Hassanien, Kenneth Revett, Aly A. Fahmy:
Interval based attribute evaluation algorithm. FedCSIS 2011: 153-156 - [c26]Wael Khalifa, Kenneth Revett, Abdel-Badeeh M. Salem:
In the Hacker's Eye: The Neurophysiology of a Computer Hacker. ICGS3/e-Democracy 2011: 112-119 - [c25]Ruben Krishnamurthy, Kenneth Revett, Hossein Jahankhani:
On the Deployment of Artificial Immune Systems for Biometrics. ICGS3/e-Democracy 2011: 126-130 - 2010
- [j5]Kenneth Revett, Abdel-Badeeh M. Salem, Florin Gorunescu:
Automated Classification of Left Ventricular Heart Disease from SPECT Imaging Data. Egypt. Comput. Sci. J. 34(2) (2010) - [j4]Kenneth Revett:
A Machine Learning Based Investigation of an Anthropometric Body Fat Dataset. Egypt. Comput. Sci. J. 34(5) (2010) - [c24]Kenneth Revett, Farzin Deravi
Biosignals for User Authentication - Towards Cognitive Biometrics? EST 2010: 71-76 - [c23]Kenneth Revett, Sérgio Tenreiro de Magalhães
Cognitive Biometrics: Challenges for the Future. ICGS3 2010: 79-86
2000 – 2009
- 2009
- [c22]Kenneth Revett, Florin Gorunescu
Feature selection in Parkinson's disease: A rough sets approach. IMCSIT 2009: 425-428 - [c21]Abdel-Badeeh M. Salem, Kenneth Revett, El-Sayed A. El-Dahshan:
Machine learning in electrocardiogram diagnosis. IMCSIT 2009: 429-433 - 2008
- [j3]Kenneth Revett:
Diagnostic Feature Analysis of a Dobutamine Stress Echocardiography Dataset Using Rough Sets. Trans. Rough Sets 9: 318-327 (2008) - 2007
- [j2]Kenneth Revett, Florin Gorunescu, Marina Gorunescu, Marius Ene, Sérgio Tenreiro de Magalhães
A machine learning approach to keystroke dynamics based user authentication. Int. J. Electron. Secur. Digit. Forensics 1(1): 55-70 (2007) - [c20]Pari Jahankhani, Kenneth Revett, Vassilis Kodogiannis
Data Mining an EEG Dataset With an Emphasis on Dimensionality Reduction. CIDM 2007: 405-412 - [c19]Kenneth Revett, Sérgio Tenreiro de Magalhães
On the Use of Rough Sets for User Authentication Via Keystroke Dynamics. EPIA Workshops 2007: 145-159 - [c18]Kenneth Revett:
On the Use of Rough Sets for Artefact Extraction from EEG Datasets. FBIT 2007: 425-430 - [c17]Kenneth Revett:
A Bioinformatics Based Approach to Behavioural Biometrics. FBIT 2007: 665-670 - [c16]Kenneth Revett:
Analysis of a Dobutamine Stress Echocardiography Dataset Using Rough Sets. RSEISP 2007: 756-763 - [c15]Kenneth Revett:
Examination of the Parameter Space of a Computational Model of Acute Ischaemic Stroke Using Rough Sets. RSKT 2007: 534-541 - 2006
- [c14]José García Rodríguez, Anastassia Angelopoulou
Automatically Building 2D Statistical Shapes Using the Topology Preservation Model GNG. ACCV (1) 2006: 519-528 - [c13]Kenneth Revett, Sérgio Tenreiro de Magalhães, Henrique M. Dinis Santos:
Enhancing Login Security Through the Use of Keystroke Input Dynamics. ICB 2006: 661-667 - [c12]Kenneth Revett, Marcin S. Szczuka:
An Analysis of a Lymphoma/Leukaemia Dataset Using Rough Sets and Neural Networks. ICHIT 2006: 229-239 - [c11]Pari Jahankhani, Vassilis Kodogiannis
EEG Signal Classification Using Wavelet Feature Extraction and Neural Networks. John Vincent Atanasoff Symposium 2006: 120-124 - [c10]Kenneth Revett, Florin Gorunescu, Marius Ene:
A Machine Learning Approach to Differentiating Bacterial From Viral Meningitis. John Vincent Atanasoff Symposium 2006: 155-162 - [c9]Kenneth Revett, Marcin S. Szczuka, Pari Jahankhani, Vassilis Kodogiannis
Attribute Selection for EEG Signal Classification Using Rough Sets and Neural Networks. RSCTC 2006: 408-417 - 2005
- [c8]Anastassia Angelopoulou
Automatic Landmarking of 2D Medical Shapes Using the Growing Neural Gas Network. CVBIA 2005: 210-219 - [c7]Pari Jahankhani, Kenneth Revett, Lynne Spackman, Vassilis S. Kodogiannis, Stewart Boyd:
An Automated Anomaly EEG Detection Algorithm using Discrete Wavelet Transforms. IICAI 2005: 2679-2685 - [c6]Kenneth Revett, Aurangzeb Khan:
A Rough Sets Based Breast Cancer Decision Support System. METMBS 2005: 315-320 - [c5]Kenneth Revett, Aurangzeb Khan:
Classifying Heart Disease Datasets Using Rough Sets. METMBS 2005: 321-325 - [c4]Sebastian Widz
A Rough Set-Based Magnetic Resonance Imaging Partial Volume Detection System. PReMI 2005: 756-761 - [c3]Sebastian Widz
A Hybrid Approach to MR Imaging Segmentation Using Unsupervised Clustering and Approximate Reducts. RSFDGrC (2) 2005: 372-382 - 2004
- [c2]Ahmed Ejaz, Kenneth Revett:
Utilizing Staging Tables in Data Integration to Load Data into Materialized Views. CIS 2004: 685-691 - [c1]Sebastian Widz, Kenneth Revett, Dominik Slezak:
An Automated Multi-spectral MRI Segmentation Algorithm Using Approximate Reducts. Rough Sets and Current Trends in Computing 2004: 815-824
1990 – 1999
- 1999
- [j1]Eytan Ruppin, Elad Ofer, James A. Reggia, Kenneth Revett, Sharon Goodall
Pathogenic mechanisms in ischemic damage: a computational study. Comput. Biol. Medicine 29(1): 39-59 (1999)
Coauthor Index
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