Vassilis Kodogiannis, V. S. Kodogiannis
List of publications from the
2007 |
23 | EE | Pari Jahankhani,
Kenneth Revett,
Vassilis Kodogiannis:
Data Mining an EEG Dataset With an Emphasis on Dimensionality Reduction.
CIDM 2007: 405-412 |
22 | EE | Vassilis S. Kodogiannis:
Decision support systems in Wireless Capsule Endoscopy: Revisited.
Intelligent Decision Technologies 1(1-2): 17-31 (2007) |
21 | EE | Vassilis S. Kodogiannis,
M. Boulougoura,
John N. Lygouras,
Ilias Petrounias:
A neuro-fuzzy-based system for detecting abnormal patterns in wireless-capsule endoscopic images.
Neurocomputing 70(4-6): 704-717 (2007) |
2006 |
20 | EE | Pari Jahankhani,
Vassilis Kodogiannis,
Kenneth Revett:
EEG Signal Classification Using Wavelet Feature Extraction and Neural Networks.
John Vincent Atanasoff Symposium 2006: 120-124 |
19 | 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 |
18 | EE | Vassilis S. Kodogiannis:
Neuro-control of unmanned underwater vehicles.
Int. J. Systems Science 37(3): 149-162 (2006) |
2005 |
17 | EE | Vassilis S. Kodogiannis,
H. S. Chowdrey:
A Neurofuzzy Methodology for the Diagnosis of Wireless-Capsule Endoscopic Images.
ICANN (1) 2005: 647-652 |
16 | | 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 |
15 | EE | Vassilis S. Kodogiannis,
Edmund Wadge,
M. Boulougoura,
K. Christou:
Detecting Abnormalities in Capsule Endoscopic Images by Textural Description and Neural Networks.
Panhellenic Conference on Informatics 2005: 735-745 |
14 | EE | Vassilis S. Kodogiannis,
Edmund Wadge:
The use of gas-sensor arrays to diagnose urinary tract infections.
Int. J. Neural Syst. 15(5): 363-376 (2005) |
13 | EE | Vassilis S. Kodogiannis:
Intelligent classification of bacterial clinical isolates in vitro, using an array of gas sensors.
Journal of Intelligent and Fuzzy Systems 16(1): 1-14 (2005) |
2004 |
12 | EE | Panagiotis Chountas,
Ilias Petrounias,
Christos Vasilakis,
Andy Tseng,
Elia El-Darzi,
Krassimir T. Atanassov,
Vassilis S. Kodogiannis:
On Uncertainty and Data-Warehouse Design.
ADVIS 2004: 4-13 |
11 | EE | Boyan Kolev,
Panagiotis Chountas,
Ilias Petrounias,
Vassilis S. Kodogiannis:
An Application of Intuitionistic Fuzzy Relational Databases in Football Match Result Predictions.
Fuzzy Days 2004: 281-289 |
2003 |
10 | EE | Panagiotis Chountas,
Ilias Petrounias,
Vassilis Kodogiannis:
Temporal Modelling in Flexible Workflows.
ISCIS 2003: 123-130 |
2002 |
9 | EE | Panagiotis Chountas,
Ilias Petrounias,
Krassimir T. Atanassov,
Vassilis S. Kodogiannis,
Elia El-Darzi:
Representation of Temporal Unawareness.
ADVIS 2002: 21-30 |
8 | | Panagiotis Chountas,
Ilias Petrounias,
Hathal Al-Roki,
Vassilis Kodogiannis:
Representing & Querying Temporal Workflow Schemas.
BalticDB&IS 2002: 155-166 |
7 | EE | Panagiotis Chountas,
Ilias Petrounias,
Krassimir T. Atanassov,
Vassilis Kodogiannis,
Elia El-Darzi:
Representation & Querying of Temporal Conflict.
FQAS 2002: 112-123 |
6 | EE | V. S. Kodogiannis,
E. M. Anagnostakis:
Soft computing based techniques for short-term load forecasting.
Fuzzy Sets and Systems 128(3): 413-426 (2002) |
5 | EE | V. S. Kodogiannis,
A. Lolis:
Forecasting Financial Time Series using Neural Network and Fuzzy System-based Techniques.
Neural Computing and Applications 11(2): 90-102 (2002) |
2001 |
4 | EE | Vassilis S. Kodogiannis,
A. Lolis:
Prediction of foreign exchange rates by neural network and fuzzy system based techniques.
ESANN 2001: 245-250 |
3 | EE | V. S. Kodogiannis:
An efficient fuzzy based technique for signal classification.
Journal of Intelligent and Fuzzy Systems 11(1-2): 65-84 (2001) |
2000 |
2 | EE | V. S. Kodogiannis:
Comparison of advanced learning algorithms for short-term load forecasting.
Journal of Intelligent and Fuzzy Systems 8(4): 243-259 (2000) |
1996 |
1 | EE | V. S. Kodogiannis,
Paulo J. G. Lisboa,
J. Lucas:
Neural network modelling and control for underwater vehicles.
AI in Engineering 10(3): 203-212 (1996) |