| 2008 |
| 21 | EE | Kenneth Revett:
Diagnostic Feature Analysis of a Dobutamine Stress Echocardiography Dataset Using Rough Sets.
T. Rough Sets 9: 318-327 (2008) |
| 2007 |
| 20 | EE | Pari Jahankhani,
Kenneth Revett,
Vassilis Kodogiannis:
Data Mining an EEG Dataset With an Emphasis on Dimensionality Reduction.
CIDM 2007: 405-412 |
| 19 | EE | Kenneth Revett,
Sérgio Tenreiro de Magalhães,
Henrique M. D. Santos:
On the Use of Rough Sets for User Authentication Via Keystroke Dynamics.
EPIA Workshops 2007: 145-159 |
| 18 | EE | Kenneth Revett:
On the Use of Rough Sets for Artefact Extraction from EEG Datasets.
FBIT 2007: 425-430 |
| 17 | EE | Kenneth Revett:
A Bioinformatics Based Approach to Behavioural Biometrics.
FBIT 2007: 665-670 |
| 16 | EE | Kenneth Revett:
Analysis of a Dobutamine Stress Echocardiography Dataset Using Rough Sets.
RSEISP 2007: 756-763 |
| 15 | EE | Kenneth Revett:
Examination of the Parameter Space of a Computational Model of Acute Ischaemic Stroke Using Rough Sets.
RSKT 2007: 534-541 |
| 2006 |
| 14 | EE | José García Rodríguez,
Anastassia Angelopoulou,
Alexandra Psarrou,
Kenneth Revett:
Automatically Building 2D Statistical Shapes Using the Topology Preservation Model GNG.
ACCV (1) 2006: 519-528 |
| 13 | EE | Kenneth Revett,
Sérgio Tenreiro de Magalhães,
Henrique M. D. Santos:
Enhancing Login Security Through the Use of Keystroke Input Dynamics.
ICB 2006: 661-667 |
| 12 | EE | Kenneth Revett,
Marcin S. Szczuka:
An Analysis of a Lymphoma/Leukaemia Dataset Using Rough Sets and Neural Networks.
ICHIT 2006: 229-239 |
| 11 | EE | Pari Jahankhani,
Vassilis Kodogiannis,
Kenneth Revett:
EEG Signal Classification Using Wavelet Feature Extraction and Neural Networks.
John Vincent Atanasoff Symposium 2006: 120-124 |
| 10 | EE | Kenneth Revett,
Florin Gorunescu,
Marius Ene:
A Machine Learning Approach to Differentiating Bacterial From Viral Meningitis.
John Vincent Atanasoff Symposium 2006: 155-162 |
| 9 | EE | 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 |
| 8 | EE | Anastassia Angelopoulou,
Alexandra Psarrou,
José García Rodríguez,
Kenneth Revett:
Automatic Landmarking of 2D Medical Shapes Using the Growing Neural Gas Network.
CVBIA 2005: 210-219 |
| 7 | | 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 |
| 6 | | Kenneth Revett,
Aurangzeb Khan:
A Rough Sets Based Breast Cancer Decision Support System.
METMBS 2005: 315-320 |
| 5 | | Kenneth Revett,
Aurangzeb Khan:
Classifying Heart Disease Datasets Using Rough Sets.
METMBS 2005: 321-325 |
| 4 | EE | Sebastian Widz,
Kenneth Revett,
Dominik Slezak:
A Rough Set-Based Magnetic Resonance Imaging Partial Volume Detection System.
PReMI 2005: 756-761 |
| 3 | EE | Sebastian Widz,
Kenneth Revett,
Dominik Slezak:
A Hybrid Approach to MR Imaging Segmentation Using Unsupervised Clustering and Approximate Reducts.
RSFDGrC (2) 2005: 372-382 |
| 2004 |
| 2 | EE | Ahmed Ejaz,
Kenneth Revett:
Utilizing Staging Tables in Data Integration to Load Data into Materialized Views.
CIS 2004: 685-691 |
| 1 | EE | 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 |