Modeling the Listeria monocytogenes survival/death curves using wavelet neural networks

Combining Feature Selection Techniques and Neurofuzzy Systems for the Prediction of Total Viable Counts in Beef Fillets Using Multispectral Imaging
Alshejari, Abeer, Kodogiannis, Vassilis S. and Leonidis, Stavros 2023. Combining Feature Selection Techniques and Neurofuzzy Systems for the Prediction of Total Viable Counts in Beef Fillets Using Multispectral Imaging. Sensors. 23 (23) 9451. https://doi.org/10.3390/s23239451

Ensemble machine learning approach for electronic nose signal processing
Dedy Rahman Wijay, Farah Afian, Anditya Arifianto, Dewi Rahmawati and Kodogiannis, V. 2022. Ensemble machine learning approach for electronic nose signal processing. Sensing and Bio-Sensing Research. 36 100495. https://doi.org//10.1016/j.sbsr.2022.100495

An Asymmetric Neuro-Fuzzy Model for the Detection of Meat Spoilage
Kodogiannis, V. and Alshejari, A 2020. An Asymmetric Neuro-Fuzzy Model for the Detection of Meat Spoilage. International Joint Conference on Neural Networks (IJCNN) 2020. Glasgow, Scotland, UK 19 - 24 Jul 2020 IEEE . https://doi.org/10.1109/IJCNN48605.2020.9207063

An Extended NRBF Model for the Detection of Meat Spoilage
Kodogiannis, V. and Alshejari, A. 2020. An Extended NRBF Model for the Detection of Meat Spoilage. 10th IEEE International Conference on Intelli­gent Systems IS’20. Varna, Bulgaria 26 - 28 Aug 2020 IEEE . https://doi.org/10.1109/IS48319.2020.9200181

Development of Neurofuzzy Architectures for Electricity Price Forecasting
Alshejari, A, Kodogiannis, V. and Leonidis, S 2020. Development of Neurofuzzy Architectures for Electricity Price Forecasting. Energies. 13 (5) 1209. https://doi.org/10.3390/en13051209

Highly Efficient Balanced Power Amplifiers for 4G Applications
Olukoya, O., Kodogiannis, V. and Budimir, D. 2018. Highly Efficient Balanced Power Amplifiers for 4G Applications. 41st International Conference on Telecommunications and Signal Processing. Athens 04 - 06 Jul 2018 IEEE . https://doi.org/10.1109/TSP.2018.8441354

An Adaptive Fuzzy Logic System for the Compensation of Nonlinear Distortion in Wireless Power Amplifiers
Kodogiannis, V., Vaskovic, M. and Budimir, D. 2018. An Adaptive Fuzzy Logic System for the Compensation of Nonlinear Distortion in Wireless Power Amplifiers. Neural Computing and Applications. 30 (8), p. 2539–2554. https://doi.org/10.1007/s00521-017-2849-3

A Rapid Detection of Meat Spoilage using an Electronic Nose and Fuzzy-Wavelet systems
Kodogiannis, V. 2018. A Rapid Detection of Meat Spoilage using an Electronic Nose and Fuzzy-Wavelet systems. Bi, Yaxin, Kapoor, Supriya and Bhatia, Rahul (ed.) SAI Intelligent Systems Conference 2016. London 21 Sep 2016 Springer. https://doi.org/10.1007/978-3-319-56994-9_36

Day ahead hourly Price Forecast in ISO New England Market using Neuro-Fuzzy Systems
Alshejari, A. and Kodogiannis, V. 2017. Day ahead hourly Price Forecast in ISO New England Market using Neuro-Fuzzy Systems. Intelligent Systems Conference 2017. London, UK 07 - 09 Sep 2017 IEEE . https://doi.org/10.1109/IntelliSys.2017.8324303

Electricity Price Forecasting using Asymmetric Fuzzy Neural Network Systems
Alshejari, A. and Kodogiannis, Vassilis 2017. Electricity Price Forecasting using Asymmetric Fuzzy Neural Network Systems. 2017 Int. Conference on Fuzzy Systems (FUZZ-IEEE 2017). Naples, Italy 09 - 12 Jul 2017 IEEE . https://doi.org/10.1109/FUZZ-IEEE.2017.8015436

Application of an electronic nose coupled with fuzzy-wavelet network for the detection of meat spoilage
Kodogiannis, V. 2017. Application of an electronic nose coupled with fuzzy-wavelet network for the detection of meat spoilage. Food and Bioprocess Technology. 10 (4), pp. 730-749. https://doi.org/10.1007/s11947-016-1851-6

An Intelligent Decision Support System for the Detection of Meat Spoilage using Multispectral Images
Alshejari, A. and Kodogiannis, V. 2017. An Intelligent Decision Support System for the Detection of Meat Spoilage using Multispectral Images. Neural Computing and Applications. 28 (12), pp. 3903-3920. https://doi.org/10.1007/s00521-016-2296-6

Neuro-Fuzzy based Identification of Meat Spoilage using an Electronic Nose
Kodogiannis, V. and Alshejari, A. 2016. Neuro-Fuzzy based Identification of Meat Spoilage using an Electronic Nose. 8th IEEE International Conference on Intelli­gent Systems IS’16. Sofia, Bulgaria 04 - 06 Sep 2016 IEEE . https://doi.org/10.1109/IS.2016.7737406

A Fuzzy-Wavelet Neural Network Model for the Detection of Meat Spoilage using an Electronic Nose
Kodogiannis, V. and Alshejari, A. 2016. A Fuzzy-Wavelet Neural Network Model for the Detection of Meat Spoilage using an Electronic Nose. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Vancouver, BC, Canada 24 - 29 Jul 2016 IEEE . https://doi.org/10.1109/FUZZ-IEEE.2016.7737757

A Rapid Detection of Meat Spoilage using FTIR and Neuro-fuzzy systems
Alshejari, A., Kodogiannis, V. and Petrounias, I. 2015. A Rapid Detection of Meat Spoilage using FTIR and Neuro-fuzzy systems. SAI Intelligent Systems Conference 2015. London Nov 2015

An Adaptive Neuro-Fuzzy Model for the Detection of Meat Spoilage using Multispectral Images
Alshejari, A., Kodogiannis, V. and Petrounias, I. 2015. An Adaptive Neuro-Fuzzy Model for the Detection of Meat Spoilage using Multispectral Images. 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Istanbul, Turkey Aug 2015 IEEE . https://doi.org/10.1109/FUZZ-IEEE.2015.7337961

Predistortion and Postdistortion of Wireless Power Amplifiers for 4G and B4G Wireless Systems
Kodogiannis, V., Vaskovic, M., Mijuskovic, J. and Budimir, D. 2015. Predistortion and Postdistortion of Wireless Power Amplifiers for 4G and B4G Wireless Systems. Conference: IEEE Symposium on Computers and Communications. Cyprus Jul 2015

An intelligent based decision support system for the detection of meat spoilage
Kodogiannis, V., Petrounias, I. and Lygouras, J.N. 2015. An intelligent based decision support system for the detection of meat spoilage. in: Proceedings of the 7th IEEE International Conference Intelligent Systems IS’2014, September 24‐26, 2014, Warsaw, Poland Springer. pp. 303-310

Identification of meat spoilage by FTIR spectroscopy and neural networks
Kodogiannis, V., Petrounias, I. and Kontogianni, E. 2014. Identification of meat spoilage by FTIR spectroscopy and neural networks. 2014 International Joint Conference on Neural Networks (IJCNN 2014). Beijing, China July 2014 IEEE . https://doi.org/10.1109/IJCNN.2014.6889395

An efficient event definition framework for retail sector surveillance systems
Anwar, F., Petrounias, I., Sampaio, S., Kodogiannis, V. and Morris, T. 2014. An efficient event definition framework for retail sector surveillance systems. in: MMEDIA 2014: the sixth international conferences on advances in multimedia. Nice, France, February 2014 International Academy, Research and Industry Association, IARIA. pp. 37-44

Evaluation of nonlinear distortion in optically switchable UWB filters
Chakrabarty, K., Rabbi, K.M.F., Panagamuwa, C., Kodogiannis, V. and Budimir, D. 2014. Evaluation of nonlinear distortion in optically switchable UWB filters. Microwave and Optical Technology Letters. 56 (5), pp. 1092-1094. https://doi.org/10.1002/mop.28277

Point-of-care diagnosis of bacterial pathogens in vitro, utilising an electronic nose and wavelet neural networks
Kodogiannis, V. 2014. Point-of-care diagnosis of bacterial pathogens in vitro, utilising an electronic nose and wavelet neural networks. Neural Computing and Applications. 25 (2), pp. 353-366. https://doi.org/10.1007/s00521-013-1494-8

An intelligent based decision support system for the detection of meat spoilage
Kodogiannis, V., Pachidis, T. and Kontogianni, E. 2014. An intelligent based decision support system for the detection of meat spoilage. Engineering Applications of Artificial Intelligence. 34, pp. 23-36. https://doi.org/10.1016/j.engappai.2014.05.001

An adaptive neuro-fuzzy identification model for the detection of meat spoilage
Kodogiannis, V. and Alshejari, A. 2014. An adaptive neuro-fuzzy identification model for the detection of meat spoilage. Applied Soft Computing. 23, pp. 483-497. https://doi.org/10.1016/j.asoc.2014.06.009

Neural network based identification of meat spoilage using Fourier-transform infrared spectra
Kodogiannis, V., Kontogianni, E. and Lygouras, J.N. 2014. Neural network based identification of meat spoilage using Fourier-transform infrared spectra. Journal of Food Engineering. 142, pp. 118-131. https://doi.org/10.1016/j.jfoodeng.2014.06.018

Modeling of survival curves in food microbiology using fuzzy wavelet neural networks
Kodogiannis, V. and Petrounias, I. 2013. Modeling of survival curves in food microbiology using fuzzy wavelet neural networks. in: Rojas, I., Joya, G. and Cabestany, J. (ed.) Advances in computational intelligence Berlin Heidelberg Springer.

A clustering-based fuzzy-wavelet neural network model for short-term load forecasting
Kodogiannis, V., Amina, M. and Petrounias, I. 2013. A clustering-based fuzzy-wavelet neural network model for short-term load forecasting. International Journal of Neural Systems. 23 (5) 1350024. https://doi.org/10.1142/S012906571350024X

A hybrid intelligent approach for the prediction of electricity consumption
Amina, M., Kodogiannis, V., Petrounias, I. and Tomtsis, D. 2012. A hybrid intelligent approach for the prediction of electricity consumption. International Journal of Electrical Power and Energy Systems. 43 (1), pp. 99-108. https://doi.org/10.1016/j.ijepes.2012.05.027

Mining anomalous events against frequent sequences in surveillance videos from commercial environments
Anwar, F., Petrounias, I., Morris, T. and Kodogiannis, V. 2012. Mining anomalous events against frequent sequences in surveillance videos from commercial environments. Expert Systems with Applications. 39 (4), pp. 4511-4531. https://doi.org/10.1016/j.eswa.2011.09.134

Application of expert systems in food mycology
Panagou, E.Z. and Kodogiannis, V. 2012. Application of expert systems in food mycology. in: Panagou, E.Z. and Dantigny, P. (ed.) Predictive mycology Nova Science Publishers.

Power load forecasting using adaptive fuzzy inference neural networks
Kodogiannis, V. and Petrounias, I. 2012. Power load forecasting using adaptive fuzzy inference neural networks. 6th IEEE International Conference on Intelligent Systems IS’12. Sofia, Bulgaria 6th - 8th September 2012

Modelling of survival curves in food microbiology using adaptive fuzzy inference neural networks
Kodogiannis, V. and Petrounias, I. 2012. Modelling of survival curves in food microbiology using adaptive fuzzy inference neural networks. IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA 2012). Tianjin, China 2th - 4th July 2012

Identification of the Listeria monocytogenes survival curves in UHT whole milk utilising local linear wavelet neural networks
Amina, M., Kodogiannis, V., Petrounias, I., Lygouras, J.N. and Nychas, G.J.E. 2012. Identification of the Listeria monocytogenes survival curves in UHT whole milk utilising local linear wavelet neural networks. Expert Systems with Applications. 39 (1), pp. 1435-1450. https://doi.org/10.1016/j.eswa.2011.08.028

Application of wavelet neural networks as a non-linear modelling technique in food microbiology
Kodogiannis, V., Amina, M., Lygouras, J.N. and Nychas, G.J.E. 2011. Application of wavelet neural networks as a non-linear modelling technique in food microbiology. in: Borgearo, S.R. (ed.) Animal feed: types, nutrition, and safety Nova Science Publishers. pp. 127-154

Power load forecasting using extended normalised radial basis function networks
Kodogiannis, V., Amina, M. and Lygouras, J.N. 2011. Power load forecasting using extended normalised radial basis function networks. Journal of Computational Methods in Sciences and Engineering. 11 (4), pp. 243-255. https://doi.org/10.3233/JCM-2011-0389

A decision support system for EEG signals based on adaptive fuzzy inference neural networks
Jahankhani, P., Kodogiannis, V., Lygouras, J.N. and Petrounias, I. 2011. A decision support system for EEG signals based on adaptive fuzzy inference neural networks. Journal of Computational Methods in Sciences and Engineering. 11 (4), pp. 209-225. https://doi.org/10.3233/JCM-2011-0387

Load forecasting using fuzzy wavelet neural networks
Amina, M. and Kodogiannis, V. 2011. Load forecasting using fuzzy wavelet neural networks. in: Proceedings of the 2011 IEEE International Conference on Fuzzy Systems (FUZZ), Taipei, 27-30 June 2011 IEEE . pp. 1033-1040

Dynamic non-linear system modelling using wavelet-based soft computing techniques
Amina, M. 2011. Dynamic non-linear system modelling using wavelet-based soft computing techniques. PhD thesis University of Westminster School of Electronics and Computer Science https://doi.org/10.34737/8zwwz

Wavelet neural networks for modelling high pressure inactivation kinetics of Listeria monocytogenes in UHT whole milk
Amina, M., Panagou, E.Z., Kodogiannis, V. and Nychas, G.J.E. 2010. Wavelet neural networks for modelling high pressure inactivation kinetics of Listeria monocytogenes in UHT whole milk. Chemometrics and Intelligent Laboratory Systems. 103 (2), pp. 170-183. https://doi.org/10.1016/j.chemolab.2010.07.004

Exploring the role of glycosylated hemoglobin as a marker for type 2 diabetes mellitus using rough sets
Revett, K. and Salem, A.B.M. 2010. Exploring the role of glycosylated hemoglobin as a marker for type 2 diabetes mellitus using rough sets. in: The 7th International Conference on Informatics and Systems (INFOS) IEEE . pp. 1-7

Introduction to behavioral biometrics
Revett, K. 2010. Introduction to behavioral biometrics. in: Jahankhani, H., Watson, D.L. and Gianuigi, L. (ed.) Handbook of electronic security and digital forensics World Scientific Publishing.

Bioinformatics and Biometrics
Revett, K. 2010. Bioinformatics and Biometrics. in: Jahankhani, H., Watson, D.L. and Gianuigi, L. (ed.) Handbook of electronic security and digital forensics World Scientific Publishing.

Classification of stabilometric time-series using an adaptive fuzzy inference neural network system
Lara, J.A., Jahankhani, P., Pérez, A., Valente, J.P. and Kodogiannis, V. 2010. Classification of stabilometric time-series using an adaptive fuzzy inference neural network system. in: Goebel, R., Siekmann, J. and Wahlster, W. (ed.) Artificial Intelligence and Soft Computing: 10th International Conference, ICAISC 2010, Zakopane, Poland, June 13-17, 2010, Part I Berlin Heidelberg Springer.

Adaptive fuzzy inference neural network system for EEG signal classification
Jahankhani, P., Kodogiannis, V. and Lygouras, J.N. 2010. Adaptive fuzzy inference neural network system for EEG signal classification. in: Jain, L.C. and Lim, C.P. (ed.) Handbook on decision making, volume 1: techniques and applications Springer.

Entity appearance model generation for multimedia events in surveillance videos
Anwar, F., Petrounias, I., Morris, T. and Kodogiannis, V. 2010. Entity appearance model generation for multimedia events in surveillance videos. in: 5th IEEE International Conference on Intelligent Systems (IS 2010) proceedings IEEE . pp. 379-383

Discovery of events with negative behavior against given sequential patterns
Anwar, F., Petrounias, I., Morris, T. and Kodogiannis, V. 2010. Discovery of events with negative behavior against given sequential patterns. in: 5th IEEE International Conference on Intelligent Systems (IS 2010) proceedings IEEE . pp. 373-378

A new method for digital encoder adaptive velocity/acceleration evaluation using a TDC with picosecond accuracy
Lygouras, J.N., Pachidis, T., Kodogiannis, V. and Syrakoulis, G.C. 2009. A new method for digital encoder adaptive velocity/acceleration evaluation using a TDC with picosecond accuracy. Microprocessors and Microsystems. 33 (7-8), pp. 453-460. https://doi.org/10.1016/j.micpro.2009.09.001

A bioinformatics based approach to user authentication via keystroke dynamics
Revett, K. 2009. A bioinformatics based approach to user authentication via keystroke dynamics. International Journal of Control, Automation and Systems. 7 (1), pp. 7-15. https://doi.org/10.1007/s12555-009-0102-2

Keystroke dynamic and graphical authentication systems
Tenreiro de Magalhaes, S., Santos, L.D., Revett, K. and Santos, H.M.D. 2009. Keystroke dynamic and graphical authentication systems. in: Khosrow-Pour, M. (ed.) Encyclopedia of information science and technology. 2nd edition Hershey, Pa. ; London Information Science.

Using technology to overcome the password's contradiction
Tenreiro de Magalhaes, S., Revett, K., Santos, H.M.D., Santos, L.D., Oliveira, A. and Ariza, C. 2009. Using technology to overcome the password's contradiction. in: Gupta, M. and Sharman, R. (ed.) Handbook of research on social and organizational liabilities in information security Hershey, Pa. ; London Information Science Reference.

Usage of artificial intelligent technology in healthy food planning for people with disabilities
Sicurello, F., Salem, A.B.M., De Luca, A.R., Stenta, U., Amon, T. and Revett, K. 2009. Usage of artificial intelligent technology in healthy food planning for people with disabilities. EMMIT 2009: Euro-Mediterranean Medical Informatics and Telemedicine, 5th International Conference. Beirut, Lebanon 16 - 18 Oct 2009

Machine learning techniques in electrocardiogram diagnosis
Salem, A.B.M., Revett, K. and El-Dahshan, E.S. 2009. Machine learning techniques in electrocardiogram diagnosis. Fourth International Conference on Intelligent Computing and Information Systems (ICICIS 2009). Cairo, Egypt 18 - 22 Mar 2009 pp. 260-264

A rule-based approach to processing SPECT imaging for the diagnosis of heart disease
Revett, K., Salem, A.B.M. and Gorunescu, F. 2009. A rule-based approach to processing SPECT imaging for the diagnosis of heart disease. EMMIT 2009: Euro-Mediterranean Medical Informatics and Telemedicine, 5th International Conference. Beirut, Lebanon 16 - 18 Oct 2009

Evaluation of the feature space of an erythematosquamous dataset using rough sets
Revett, K., Gorunescu, F., Salem, A.B.M. and El-Dahshan, E.S. 2009. Evaluation of the feature space of an erythematosquamous dataset using rough sets. Annals of the University of Craiova - Mathematics and Computer Science Series. 36 (2), pp. 123-130.

Feature selection in Parkinson's disease: a rough sets approach
Revett, K., Gorunescu, F. and Salem, A.B.M. 2009. Feature selection in Parkinson's disease: a rough sets approach. in: Proceedings of the International Multiconference on Computer Science and Information Technology 12 - 14 Oct 2009, Mragowo, Poland IMCSIT.

A machine learning approach to artefact extraction from independent components derived from EEG datasets
Revett, K., Gorunescu, F., El-Dahshan, E.S. and Salem, A.B.M. 2009. A machine learning approach to artefact extraction from independent components derived from EEG datasets. Fourth International Conference on Intelligent Computing and Information Systems (ICICIS 2009). Cairo, Egypt 18 - 22 Mar 2009 pp. 184-189

Machine learning in electrocardiogram diagnosis
Revett, K., Gorunescu, F., El-Dahshan, E.S. and Salem, A.B.M. 2009. Machine learning in electrocardiogram diagnosis. in: Proceedings of the International Multiconference on Computer Science and Information Technology 12 - 14 Oct 2009, Mragowo, Poland IMCSIT.

Current trends in behavioral biometrics, keynote speech
Revett, K. 2009. Current trends in behavioral biometrics, keynote speech. Fourth International Conference on Intelligent Computing and Information Systems (ICICIS 2009). Cairo, Egypt 18 - 22 Mar 2009 pp. 42-48

Behavioral biometrics: a biosignal based approach
Revett, K. 2009. Behavioral biometrics: a biosignal based approach. in: Wang, L. and Geng, X. (ed.) Behavioral biometrics for human identification: intelligent applications Hershey, PA Medical Information Science Reference. pp. 101-120

Design and implementation of a solar-powered air-conditioning system
Lygouras, J.N. and Kodogiannis, V. 2009. Design and implementation of a solar-powered air-conditioning system. in: Hastesko, T. and Kiljunen, O. (ed.) Air conditioning systems: performance, environment and energy factors Nova Science Publishers. pp. 195-223

An Intelligent Decision Support System for bacterial clinical isolates in vitro utilising an electronic nose
Kodogiannis, V., Petrounias, I. and Lygouras, J.N. 2009. An Intelligent Decision Support System for bacterial clinical isolates in vitro utilising an electronic nose. Intelligent Decision Technologies. 3 (4), pp. 219-231. https://doi.org/10.3233/IDT-2009-0057

Predictive modeling in food mycology using adaptive neuro-fuzzy systems
Amina, M., Kodogiannis, V. and Tarczynski, A. 2009. Predictive modeling in food mycology using adaptive neuro-fuzzy systems. in: IEEE/ACS International Conference on Computer Systems and Applications (AICCSA 2009) IEEE . pp. 821-828

Application of neural networks as a non-linear modelling technique in food mycology
Panagou, E.Z. and Kodogiannis, V. 2009. Application of neural networks as a non-linear modelling technique in food mycology. Expert Systems with Applications. 36 (1), pp. 121-131. https://doi.org/10.1016/j.eswa.2007.09.022

Adaptive high-performance velocity evaluation based on a high resolution time-to-digital converter
Lygouras, J.N., Pachidis, T., Tarchanidis, K.N. and Kodogiannis, V. 2008. Adaptive high-performance velocity evaluation based on a high resolution time-to-digital converter. IEEE Transactions on Instrumentation and Measurement. 57 (9), pp. 2035-2043. https://doi.org/10.1109/TIM.2008.919039

Variable structure TITO fuzzy-logic controller implementation for a solar air-conditioning system
Lygouras, J.N., Kodogiannis, V., Pachidis, T., Tarchanidis, K.N. and Koukourlis, C.S. 2008. Variable structure TITO fuzzy-logic controller implementation for a solar air-conditioning system. Applied Energy. 85 (4), pp. 190-203. https://doi.org/10.1016/j.apenergy.2007.07.001

A survey of user authentication based on mouse dynamics
Revett, K., Jahankhani, H., Tenreiro de Magalhaes, S. and Santos, H.M.D. 2008. A survey of user authentication based on mouse dynamics. in: Jahankhani, H., Revett, K. and Palmer-Brown, D. (ed.) Global e-security: 4th International Conference, ICGeS 2008, London, UK, June 23-25, 2008. Proceedings Berlin / Heidelberg Springer.

User dynamics in graphical authentication systems
Revett, K., Jahankhani, H., Tenreiro de Magalhaes, S. and Santos, H.M.D. 2008. User dynamics in graphical authentication systems. in: Jahankhani, H., Revett, K. and Palmer-Brown, D. (ed.) Global e-security: 4th International Conference, ICGeS 2008, London, UK, June 23-25, 2008. Proceedings Berlin / Heidelberg Springer.

An automated predictor of hydrogen gas production from a sucrose based bioreactor system
Revett, K., Gorunescu, F., Gorunescu, M., Nikhil and Ozkaya, B. 2008. An automated predictor of hydrogen gas production from a sucrose based bioreactor system. in: Proceedings of the 8th International Conference on Artificial Intelligence and Digital Communications - AIDC’08 Craiova Universitaria Publishing House. pp. 161-170

A machine learning investigation of a beta-carotenoid dataset
Revett, K. 2008. A machine learning investigation of a beta-carotenoid dataset. in: Bello, R., Falcón, R., Pedrycz, W. and Kacprzyk, J. (ed.) Granular computing: at the junction of rough sets and fuzzy sets Berlin / Heidelberg Springer.

Diagnostic feature analysis of a dobutamine stress echocardiography dataset using rough sets
Revett, K. 2008. Diagnostic feature analysis of a dobutamine stress echocardiography dataset using rough sets. in: Transactions on rough sets IX Berlin, Heidelberg Springer.

Behavioral biometrics: a remote access approach
Revett, K. 2008. Behavioral biometrics: a remote access approach. Chichester Wiley.

Efficient periodicity mining of sequential patterns in a post-mining environment
Petrounias, I., Anwar, F., Kodogiannis, V., Tasseva, V. and Peneva, D. 2008. Efficient periodicity mining of sequential patterns in a post-mining environment. in: Proceedings of the 4th International IEEE Conference on Intelligent Systems IS'08. Varna, Bulgaria, September, 6-8 2008 Los Alamitos, USA IEEE .

Accumulation, storage and obtainment of generalized net tokens characteristics history
Peneva, D., Tasseva, V., Popov, E., Petrounias, I., Kodogiannis, V., Anwar, F. and Shannon, A. 2008. Accumulation, storage and obtainment of generalized net tokens characteristics history. in: Proceedings of the 4th International IEEE Conference on Intelligent Systems IS'08. Varna, Bulgaria, September, 6-8 2008 Los Alamitos, USA IEEE .

Terrain-based navigation for underwater vehicles using an ultrasonic scanning system
Lygouras, J.N., Kodogiannis, V., Pachidis, T. and Liatsis, P. 2008. Terrain-based navigation for underwater vehicles using an ultrasonic scanning system. Advanced Robotics. 22 (11), pp. 1181-1205. https://doi.org/10.1163/156855308X338429

Navigation and control schemes for autonomous underwater vehicles: recent advances and new challenges
Lygouras, J.N. and Kodogiannis, V. 2008. Navigation and control schemes for autonomous underwater vehicles: recent advances and new challenges. in: Yang, W. (ed.) Autonomous robots research advances Nova Science Publishers. pp. 35-67

Intelligent classification using adaptive fuzzy logic systems
Kodogiannis, V., Petrounias, I. and Lygouras, J.N. 2008. Intelligent classification using adaptive fuzzy logic systems. in: Proceedings of the 4th International IEEE Conference on Intelligent Systems IS'08. Varna, Bulgaria, September, 6-8 2008 Los Alamitos, USA IEEE . pp. 9-13

An intelligent decision support system in wireless-capsule endoscopy
Kodogiannis, V., Lygouras, J.N. and Pachidis, T. 2008. An intelligent decision support system in wireless-capsule endoscopy. in: Chountas, P., Petrounias, I. and Kacprzyk, J. (ed.) Intelligent techniques and tools for novel system architectures Springer. pp. 259-275

Neuro-fuzzy classification system for wireless-capsule endoscopic images
Kodogiannis, V. and Lygouras, J.N. 2008. Neuro-fuzzy classification system for wireless-capsule endoscopic images. International Journal of Electrical, Computer, and Systems Engineering. 2 (1), pp. 55-63.

A rule based approach to classification of EEG datasets: a comparison between ANFIS and rough sets
Jahankhani, P., Revett, K. and Kodogiannis, V. 2008. A rule based approach to classification of EEG datasets: a comparison between ANFIS and rough sets. in: Reljin, B. and Stankovic, S. (ed.) Proceedings of the Ninth Symposium on Neural Network Applications in Electrical Engineering: NEUREL 2008, September 27-28, 2008, Faculty of Electrical Engineering, University of Belgrade Los Alamitos, USA IEEE . pp. 157-160

Classification using adaptive fuzzy inference neural networks
Jahankhani, P., Kodogiannis, V., Revett, K. and Lygouras, J.N. 2008. Classification using adaptive fuzzy inference neural networks. in: Proceedings of the Twelfth IASTED International Conference on Artificial Intelligence and Soft Computing, September 1-3 2008, Palma de Mallorca, Spain Acta Press. pp. 1-6

Intelligent decision support system for classification of EEG signals using wavelet coefficients
Jahankhani, P. and Kodogiannis, V. 2008. Intelligent decision support system for classification of EEG signals using wavelet coefficients. in: Giannopoulou, E.G. (ed.) Data mining in medical and biological research I-Tech Education and Publishing. pp. 19-38

Data mining techniques for HIV/AIDS data management in Thailand
Vararuk, A., Petrounias, I. and Kodogiannis, V. 2008. Data mining techniques for HIV/AIDS data management in Thailand. Journal of Enterprise Information Management. 21 (1), pp. 52-70. https://doi.org/10.1108/17410390810842255

Artificial Odor Discrimination System using electronic nose and neural networks for the identification of urinary tract infection
Kodogiannis, V., Lygouras, J.N., Tarczynski, A. and Chowdrey, H.S. 2008. Artificial Odor Discrimination System using electronic nose and neural networks for the identification of urinary tract infection. IEEE Transactions on Information Technology in Biomedicine. 12 (6), pp. 707-713. https://doi.org/10.1109/TITB.2008.917928

Fuzzy logic controller implementation for a solar air-conditioning system
Lygouras, J.N., Botsaris, P.N., Vourvoulakis, J. and Kodogiannis, V. 2007. Fuzzy logic controller implementation for a solar air-conditioning system. Applied Energy. 84 (12), pp. 1305-1318. https://doi.org/10.1016/j.apenergy.2006.10.002

Modelling fungal growth using radial basis function neural networks: the case of the ascomycetous fungal Monascus ruber van Tiegham
Panagou, E.Z., Kodogiannis, V. and Nychas, G.J.E. 2007. Modelling fungal growth using radial basis function neural networks: the case of the ascomycetous fungal Monascus ruber van Tiegham. International Journal of Food Microbiology. 117 (3), pp. 276-286. https://doi.org/10.1016/j.ijfoodmicro.2007.03.010

A machine learning approach to keystroke dynamics based user authentication
Revett, K., Gorunescu, F., Gorunescu, M., Ene, M., Tenreiro de Magalhaes, S. and Dinis Santos, H.M. 2007. A machine learning approach to keystroke dynamics based user authentication. International Journal of Electronic Security and Digital Forensics. 1 (1), pp. 55-70. https://doi.org/10.1504/IJESDF.2007.013592

The usage of soft-computing methodologies in interpreting capsule endoscopy
Kodogiannis, V., Boulougoura, M. and Wadge, E. 2007. The usage of soft-computing methodologies in interpreting capsule endoscopy. Engineering Applications of Artificial Intelligence. 20 (4), pp. 539-553. https://doi.org/10.1016/j.engappai.2006.09.006

Decision Support Systems in Wireless-Capsule Endoscopy: Revisited
Kodogiannis, V. 2007. Decision Support Systems in Wireless-Capsule Endoscopy: Revisited. International Journal of Intelligent Decision Technologies. 1 (1,2), pp. 17-32.

Information technologies for the information agent
Tenreiro de Magalhaes, S., Santos, H.M.D., Santos, L.D., Revett, K. and Nunes, P.V. 2007. Information technologies for the information agent. in: Remenyi, D. (ed.) Proceedings of the 6th European Conference on Information Warfare and Security, Defence College of Management and Technology, Shrivenham, UK, 2-3 July 2007 Reading Academic Conferences. pp. 273-280

Examination of the parameter space of a computational model of acute ischaemic stroke using rough sets
Revett, K. 2007. Examination of the parameter space of a computational model of acute ischaemic stroke using rough sets. in: Rough Sets and Knowledge Technology: second international conference, RSKT 2007 Toronto, Canada, May 2007 proceedings Berlin, Germany Springer.

An adaptive neurofuzzy approach for the diagnosis in wireless capsule endoscopy imaging
Kodogiannis, V. and Boulougoura, M. 2007. An adaptive neurofuzzy approach for the diagnosis in wireless capsule endoscopy imaging. International Journal of Information Technology. 13 (1), pp. 46-56.

Data mining an EEG dataset with an emphasis on dimensionality reduction
Jahankhani, P., Revett, K. and Kodogiannis, V. 2007. Data mining an EEG dataset with an emphasis on dimensionality reduction. in: IEEE Symposium on Computational Intelligence and Data Mining (CIDM), 01-05 Apr 2007, Honolulu, Hawaii, USA Los Alamitos, USA IEEE . pp. 405-412

Digital anti forensics: tools and approaches
Jahankhani, H., Anastasios, B. and Revett, K. 2007. Digital anti forensics: tools and approaches. in: Remenyi, D. (ed.) Proceedings of the 6th European Conference on Information Warfare and Security, Defence College of Management and Technology, Shrivenham, UK, 2-3 July 2007 Reading Academic Conferences. pp. 115-120

A neuro-fuzzy-based system for detecting abnormal patterns in wireless-capsule endoscopic images
Kodogiannis, V., Boulougoura, M., Lygouras, J.N. and Petrounias, I. 2007. A neuro-fuzzy-based system for detecting abnormal patterns in wireless-capsule endoscopic images. Neurocomputing. 70 (4-6), pp. 704-717. https://doi.org/10.1016/j.neucom.2006.10.024

Keystroke dynamics - stepping forward in authentication
Tenreiro de Magalhaes, S., Revett, K. and Santos, H.M.D. 2006. Keystroke dynamics - stepping forward in authentication. GESTS International Transactions on Computer Science and Engineering. 29 (1), pp. 113-119.

Neuro-control of unmanned underwater vehicles
Kodogiannis, V. 2006. Neuro-control of unmanned underwater vehicles. International Journal of Systems Science. 37 (3), pp. 149-162. https://doi.org/10.1080/00207720600566495

Critical aspects in authentication graphic keys
Tenreiro de Magalhaes, S., Santos, H.M.D. and Revett, K. 2006. Critical aspects in authentication graphic keys. in: Proceedings of the 1st International Conference on Information Warfare and Security - 2006 Kidmore End, England Academic Conferences and Publishing International. pp. 212-217

Generation of authentication strings from graphic keys
Tenreiro de Magalhaes, S., Revett, K. and Santos, H.M.D. 2006. Generation of authentication strings from graphic keys. International Journal of Computer Science and Network Security. 63, p. 38.

Enhancing login security through the use of keystroke input dynamics
Revett, K., Tenreiro de Magalhaes, S. and Santos, H.M.D. 2006. Enhancing login security through the use of keystroke input dynamics. in: Zhang, D. and Jain, A.K. (ed.) Advances in Biometrics: International Conference, ICB 2006, Hong Kong, China, January 5-7, 2006: Proceedings Berlin, Germany Springer.

Attribute selection for EEG signal classification using rough sets and neural networks
Revett, K., Szczuka, M., Jahankhani, P. and Kodogiannis, V. 2006. Attribute selection for EEG signal classification using rough sets and neural networks. in: Greco, S., Hata, Y., Hirano, S., Inuiguchi, M., Miyamoto, S., Nguyen, H.S. and Slowinski, R. (ed.) Rough sets and current trends in computing: 5th international conference, RSCTC 2006, Kobe, Japan, November 6-8, 2006: proceedings Berlin, Germany Springer.

Authenticating computer access based on keystroke dynamics using a probabilistic neural network
Revett, K., Gorunescu, F., Gorunescu, M., Ene, M., Tenreiro de Magalhaes, S. and Santos, H.M.D. 2006. Authenticating computer access based on keystroke dynamics using a probabilistic neural network. in: 2nd International Conference on Global E-Security, London, UK, 20-22 April 2006 (ICGeS-06) UNKNOWN. pp. 65-71

A machine learning approach to differentiating bacterial from viral meningitis
Revett, K., Gorunescu, F., Gorunescu, M. and Ene, M. 2006. A machine learning approach to differentiating bacterial from viral meningitis. in: IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing (JVA'06) Los Alamitos, USA IEEE . pp. 155-162

EEG signal classification using wavelet feature extraction and neural networks
Jahankhani, P., Kodogiannis, V. and Revett, K. 2006. EEG signal classification using wavelet feature extraction and neural networks. in: JVA '06. IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing, 2006. Los Alamitos, USA IEEE . pp. 120-124

A neural computing-based approach for the early detection of hepatocellular carcinoma
Gorunescu, M., Gorunescu, F. and Revett, K. 2006. A neural computing-based approach for the early detection of hepatocellular carcinoma. International Journal of Biomedical Sciences. 1 (4), pp. 255-258.

Automatically building 2D statistical shapes using the topology preservation model GNG
Garcia Rodriguez, J., Angelopoulou, A., Psarrou, A. and Revett, K. 2006. Automatically building 2D statistical shapes using the topology preservation model GNG. in: Narayanan, P.J., Nayar, S.K. and Shum, H.Y. (ed.) Computer Vision ACCV 2006: 7th Asian Conference on Computer Vision, Hyderabad, India, January 13-16, 2006: Proceedings, Part I Springer.

A rough set-based magnetic resonance imaging partial volume detection system
Widz, S., Revett, K. and Slezak, D. 2005. A rough set-based magnetic resonance imaging partial volume detection system. in: Pal, S.K., Bandyopadhyay, S. and Biswas, S. (ed.) Pattern Recognition and Machine Intelligence: First International Conference, PReMI 2005, Kolkata, India, December 20-22, 2005: Proceedings Berlin, Germany Springer.

A hybrid approach to MR imaging segmentation using unsupervised clustering and approximate reducts
Widz, S., Revett, K. and Slezak, D. 2005. A hybrid approach to MR imaging segmentation using unsupervised clustering and approximate reducts. in: Slezak, D., Yao, J., Peters, J.F., Ziarko, W. and Hu, X. (ed.) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing: 10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 3, 2005: Proceedings Springer Berlin, Germany.

Computer-assisted diagnosis of wireless-capsule endoscopic images using neural network based techniques
Wadge, E., Boulougoura, M. and Kodogiannis, V. 2005. Computer-assisted diagnosis of wireless-capsule endoscopic images using neural network based techniques. in: 2005 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, 2005. CIMSA USA IEEE . pp. 328-333

Password secured sites: stepping forward with keystroke dynamics
Tenreiro de Magalhaes, S., Revett, K. and Santos, H.M.D. 2005. Password secured sites: stepping forward with keystroke dynamics. in: International Conference on Next Generation Web Services Practices, 2005: NWeSP 2005 USA IEEE . pp. 293-298

DataMining a keystroke dynamics biometrics database using rough sets
Revett, K., Tenreiro de Magalhaes, S. and Santos, H.M.D. 2005. DataMining a keystroke dynamics biometrics database using rough sets. in: Cardoso, A., Bento, C. and Dias, G. (ed.) EPIA05: 12th Portuguese Conference on Artificial Intelligence New York, USA IEEE . pp. 188-191

A rough sets based breast cancer decision support system
Revett, K. and Khan, A. 2005. A rough sets based breast cancer decision support system. in: Proceedings of the 2005 International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences (METMBS '05). June 20 - 23, 2005, Monte Carlo Resort, Las Vegas, Nevada, USA CSREA Press. pp. 194-199

SOM based image pathology detection system
Revett, K. and Khan, A. 2005. SOM based image pathology detection system. in: Isai­as, P., Nunes, M.B. and Palma dos Reis, A. (ed.) Proceedings of the IADIS Virtual Multi Conference on Computer Science and Information Systems (MCCSIS 2005), April 11 - 29, 2005 IADIS. pp. 213-216

Enhancing login security using keystroke hardening and keyboard gridding
Revett, K. and Khan, A. 2005. Enhancing login security using keystroke hardening and keyboard gridding. in: Isai­as, P., Nunes, M.B. and Palma dos Reis, A. (ed.) Proceedings of the IADIS Virtual Multi Conference on Computer Science and Information Systems (MCCSIS 2005), April 11 - 29, 2005 IADIS. pp. 471-475

Classifying heart disease datasets using rough sets
Revett, K. and Khan, A. 2005. Classifying heart disease datasets using rough sets. in: Proceedings of the 2005 International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences (METMBS '05). June 20 - 23, 2005, Monte Carlo Resort, Las Vegas, Nevada, USA CSREA Press.

A breast cancer diagnosis system: a combined approach using rough sets and probabilistic neural networks
Revett, K., Gorunescu, F., Gorunescu, M., El-Darzi, E. and Ene, M. 2005. A breast cancer diagnosis system: a combined approach using rough sets and probabilistic neural networks. in: EUROCON 2005: the International Conference on "Computer as a Tool": Belgrade, Serbia and Montenegro, November 21-24 2005 London, UK IEEE .

Attribute extraction and classification using rough sets on a lymphoma dataset
Revett, K. and Aydin, N. 2005. Attribute extraction and classification using rough sets on a lymphoma dataset. in: Proceedings of the 1st International Symposium on Health Informatics and Bioinformatics: HIBIT'05, 10-12 Nov 2005, Antalya, Turkey HIBIT.

A rough sets based classifier for primary biliary cirrhosis
Revett, K. 2005. A rough sets based classifier for primary biliary cirrhosis. in: EUROCON 2005: The International Conference on "Computer as a Tool": Belgrade, Serbia and Montenegro, November 21-24 2005 USA IEEE .

A computational model of stroke-in-progression
Revett, K. 2005. A computational model of stroke-in-progression. 14th Annual Meeting of the Computational Neuroscience Society (CNS2005). Madison, USA 17-21 Jul 2005

A computational model of acute and delayed tissue damage resulting from ischemic stroke
Revett, K. 2005. A computational model of acute and delayed tissue damage resulting from ischemic stroke. Fourteenth Annual Computational Neuroscience Meeting (CNS2005). Madison, USA 17-21 Jul 2005

Developing a keystroke dynamics based agent using rough sets
Revett, K. 2005. Developing a keystroke dynamics based agent using rough sets. in: 2005 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology Compiegne, France University of Compiegne.

Apoptosis as a mediator of delayed tissue damage in progressive stroke: a computational study
Revett, K. 2005. Apoptosis as a mediator of delayed tissue damage in progressive stroke: a computational study. in: Proceedings of the Annual Meeting of the International Society for Computational Biology (ISMB 2005), 25-29 Jun 2005, Detroit, USA. International Society for Computational Biology.

User controlled filtering in WEB usage mining
Petrounias, I., Tseng, A. and Kodogiannis, V. 2005. User controlled filtering in WEB usage mining. Journal of Computational Methods in Sciences and Engineering. 5 (3), pp. 165-177.

Intuitionistic fuzzy generalised nets in modelling web usage patterns indentification
Petrounias, I., Tseng, A., Chountas, P., El-Darzi, E. and Kodogiannis, V. 2005. Intuitionistic fuzzy generalised nets in modelling web usage patterns indentification. Notes on Intuitionistic Fuzzy Sets. 11 (4), pp. 123-129.

An application of intuitionistic fuzzy relational databases in football match result predictions
Kolev, B., Chountas, P., Petrounias, I. and Kodogiannis, V. 2005. An application of intuitionistic fuzzy relational databases in football match result predictions. in: Reusch, B. (ed.) Computational intelligence, theory and applications: International Conference 8th Fuzzy Days in Dortmund, Germany, Sept. 29-Oct. 01, 2004, Proceedings Berlin, Germany Springer. pp. 281-289

Computational modelling of the gene expression profile from acute ischaemic brain injury
Kola, J. and Revett, K. 2005. Computational modelling of the gene expression profile from acute ischaemic brain injury. in: 2005 ICSC Congress on Computational Intelligence Methods and Applications USA IEEE .

Identification of urinary tract infections using soft computing techniques
Kodogiannis, V., Wadge, E., Chountas, P. and Petrounias, I. 2005. Identification of urinary tract infections using soft computing techniques. Journal of Computational Methods in Sciences and Engineering. 5 (4), pp. 225-241.

Detecting abnormalities in capsule endoscopic images by textural description and neural networks
Kodogiannis, V., Wadge, E., Boulougoura, M. and Christou, K. 2005. Detecting abnormalities in capsule endoscopic images by textural description and neural networks. in: Bozanis, P. and Houstis, E.N. (ed.) Advances in Informatics: 10th Panhellenic Conference on Informatics, PCI 2005, Volas, Greece, November 11-13, 2005. Proceedings Berlin, Germany Springer.

The use of gas-sensor arrays to diagnose urinary tract infections
Kodogiannis, V. and Wadge, E. 2005. The use of gas-sensor arrays to diagnose urinary tract infections. International Journal of Neural Systems. 15 (5), pp. 363-376. https://doi.org/10.1142/S0129065705000347

Classification of capsule endoscopic images based on texture and neuro-fuzzy systems
Kodogiannis, V. and Wadge, E. 2005. Classification of capsule endoscopic images based on texture and neuro-fuzzy systems. in: Proccedings of EMBEC'05: 3rd European Medical & Biological Engineering Conference, IFMBE European Conference on Biomedical Engineering IFMBE.

A neurofuzzy methodology for the diagnosis of wireless-capsule endoscopic images
Kodogiannis, V. and Chowdrey, H.S. 2005. A neurofuzzy methodology for the diagnosis of wireless-capsule endoscopic images. in: Duch, W., Kacprzyk, J., Oja, E. and Zadrozny, S. (ed.) Artificial Neural Networks: Biological Inspirations ICANN 2005: 15th International Conference Warsaw, Poland, September 11-15, 2005 Proceedings, Part I Berlin, Germany Springer.

An intelligent system for diagnosis of capsule endoscopic images
Kodogiannis, V., Boulougoura, M. and Wadge, E. 2005. An intelligent system for diagnosis of capsule endoscopic images. in: Proceedings of the Second International Conference on Computational Intelligence in Medicine and Healthcare (CIMED 2005). 29th June - 1st July 2005, Lisbon, Portugal London, UK IEEE . pp. 340-347

Intelligent systems for the diagnosis of wireless-capsule endoscopic images
Kodogiannis, V., Boulougoura, M. and Wadge, E. 2005. Intelligent systems for the diagnosis of wireless-capsule endoscopic images. in: Proceedings of the 5th WSEAS International Conference on Simulation, Modelling and Optimization (SMO '05), Corfu Island, Greece, August 17-19, 2005 WSEAS.

Improved neural network-based interpretation of capsule endoscopic images
Kodogiannis, V., Boulougoura, M. and Wadge, E. 2005. Improved neural network-based interpretation of capsule endoscopic images. WSEAS Transactions on Systems. 4 (9), pp. 1499-1507.

Neural network-based approach for the classification of wireless-capsule endoscopic images
Kodogiannis, V. and Boulougoura, M. 2005. Neural network-based approach for the classification of wireless-capsule endoscopic images. in: 2005 IEEE International Joint Conference on Neural Networks (IJCNN) USA IEEE .

Intelligent gas-sensing systems for bacterial clinical isolates in vitro classification
Kodogiannis, V. 2005. Intelligent gas-sensing systems for bacterial clinical isolates in vitro classification. Neural, Parallel and Scientific Computations. 13 (2), pp. 147-160.

Intelligent classification of bacterial clinical isolates in vitro, using an array of gas sensors
Kodogiannis, V. 2005. Intelligent classification of bacterial clinical isolates in vitro, using an array of gas sensors. Journal of Intelligent and Fuzzy Systems. 16 (1), pp. 1-14.

Data mining a hepatitis dataset using rough sets
Khan, A. and Revett, K. 2005. Data mining a hepatitis dataset using rough sets. in: AIDC 2005: International Conference on Artificial Intelligence and Digital Communications UNKNOWN. pp. 12-20

An automated anomaly EEG detection algorithm using discrete wavelet transforms
Jahankhani, P., Revett, K., Spackman, L., Kodogiannis, V. and Boyd, S. 2005. An automated anomaly EEG detection algorithm using discrete wavelet transforms. in: Prasad, B. (ed.) Proceedings of the 2nd Indian International Conference on Artificial Intelligence, Pune, India, December 20-22, 2005 (IICAI 05) IICAI. pp. 2679-2685

Detecting clinically relevant EEG anomalies using discrete wavelet transforms
Jahankhani, P., Revett, K. and Kodogiannis, V. 2005. Detecting clinically relevant EEG anomalies using discrete wavelet transforms. in: Proceedings of the 5th WSEAS International Conference on Wavelet Analysis and Multirate Systems (WAMUS 2005). Sofia, Bulgaria, 27 - 29 Oct 2005 WSEAS.

Automatic detection Of EEG abnormalities using wavelet transformations
Jahankhani, P., Revett, K. and Kodogiannis, V. 2005. Automatic detection Of EEG abnormalities using wavelet transformations. WSEAS Transactions on Signal Processing. 1 (1), pp. 55-60.

A hybrid approach to cancer classification: rough sets and probabilistic neural networks
Gorunescu, F., Gorunescu, M., El-Darzi, E., Gorunescu, S., Revett, K. and Khan, A. 2005. A hybrid approach to cancer classification: rough sets and probabilistic neural networks. in: The First East European Conference on Health Care Modelling and Computation (HCMC 2005). Craiova, Romania, August 31st - September 2nd, 2005 Craiova, Romania Universitatea din Craiova. pp. 149-159

Representation of factual and temporal unawareness in electronic patient records
Chountas, P., Petrounias, I., El-Darzi, E. and Kodogiannis, V. 2005. Representation of factual and temporal unawareness in electronic patient records. Journal of Computational Methods in Sciences and Engineering. 5 (4), pp. 243-261.

On probability, null values, intuitionistic fuzzy, and value imperfection
Chountas, P., Kodogiannis, V., Petrounias, I., Kolev, B. and Atanassov, K.T. 2005. On probability, null values, intuitionistic fuzzy, and value imperfection. in: Simos, T.E. and Maroulis, G. (ed.) International Conference of Computational Methods in Sciences and Engineering 2004 (ICCMSE 2004) Leiden, The Netherlands VSP.

Animal toxins: what features differentiate pore blockers from gate modifiers
Bhogal, S. and Revett, K. 2005. Animal toxins: what features differentiate pore blockers from gate modifiers. in: 2005 ICSC Congress on Computational Intelligence Methods and Applications USA IEEE .

Intracorporeal videoprobe (IVP)
Arena, A., Boulougoura, M., Chowdrey, H.S., Dario, P., Harendt, C., Irion, K.M., Kodogiannis, V., Lenaerts, B., Menciassi, A., Puers, R., Scherjon, C. and Turgis, D. 2005. Intracorporeal videoprobe (IVP). in: Bos, L., Laxminarayan, S. and Marsh, A.J. (ed.) Medical and Care Compunetics Amsterdam, Netherlands ; Oxford, UK IOS Press.

Verification of data in staging schema, mapping between source tables and materialized views
Ahmed, E. and Revett, K. 2005. Verification of data in staging schema, mapping between source tables and materialized views. in: Cardoso, A., Bento, C. and Dias, G. (ed.) EPIA05: 12th Portuguese Conference on Artificial Intelligence IEEE . pp. 200-204

Extended normalised radial basis function for short term load forecasting
Wadge, E. and Kodogiannis, V. 2004. Extended normalised radial basis function for short term load forecasting. in: Hamza, M.H. (ed.) Proceedings of the Fourth IASTED International Conference on Modelling, Simulation and Optimization (MSO 2004) International Association of Science and Technology for Development. pp. 154-159

Distimulus chromatic measurement systems
Tomtsis, D., Kodogiannis, V. and Chountas, P. 2004. Distimulus chromatic measurement systems. WSEAS Transactions on Circuits and Systems. 2 (3), pp. 211-214.

An intuitionistic fuzzy component based appoach for identifying web usage patterns
Petrounias, I., Tseng, A., Kolev, B., Chountas, P. and Kodogiannis, V. 2004. An intuitionistic fuzzy component based appoach for identifying web usage patterns. in: Yager, R.R. and Sgurev, V.S. (ed.) 2nd IEEE International Conference on Intelligent Systems, 22-24 Jun 2004, Varna, Bulgaria: proceedings USA IEEE .

Feature extraction techniques using adaptive wavelets for signal classification
Kodogiannis, V., Wadge, E., Boulougoura, M. and Christou, K. 2004. Feature extraction techniques using adaptive wavelets for signal classification. WSEAS Transactions on Circuits. 3 (1), pp. 149-154.

Intelligent control of unmanned underwater vehicles
Kodogiannis, V. and Petrounias, I. 2004. Intelligent control of unmanned underwater vehicles. WSEAS Transactions on Systems. 3 (4), pp. 1845-1853.

Multi network classification scheme for computer-aided diagnosis in clinical endoscopy
Kodogiannis, V. and Chowdrey, H.S. 2004. Multi network classification scheme for computer-aided diagnosis in clinical endoscopy. in: MEDSIP 2004: Advances in Medical Signal and Information Processing International Conference, 5-8 September 2004, Malta IEEE . pp. 262-267

Computer-aided diagnosis in clinical endoscopy using neuro-fuzzy systems
Kodogiannis, V. 2004. Computer-aided diagnosis in clinical endoscopy using neuro-fuzzy systems. in: Proceedings: 2004 IEEE International Conference on Fuzzy Systems. Budapest, Hungary, 25-29 July 2004 USA IEEE .

On uncertainty and data-warehouse design
Chountas, P., Petrounias, I., Vasilakis, C., Tseng, A., El-Darzi, E., Atanassov, K.T. and Kodogiannis, V. 2004. On uncertainty and data-warehouse design. in: Yakhno, T. (ed.) Advances in Information Systems: Third International Conference, ADVIS 2004, Izmir, Turkey, October 20-22, 2004: proceedings Berlin, Germany Springer.

Temporality and intuitionistic fuzzy data warehouses
Chountas, P., Petrounias, I., Vasilakis, C., El-Darzi, E., Tseng, A., Kolev, B., Kodogiannis, V. and Georgiev, P. 2004. Temporality and intuitionistic fuzzy data warehouses. Notes in Intuitionistic Fuzzy Sets. 10 (4), pp. 47-55.

Representing and querying temporal workflow schemas
Chountas, P., Petrounias, I., Al-Roki, H. and Kodogiannis, V. 2004. Representing and querying temporal workflow schemas. in: Haav, H.M. (ed.) Fifth International Baltic Workshop on Databases and Information Systems: databases and information systems Institute of Cybernetics at Tallinn Technical University. pp. 155-166

Development of a clinical data warehouse
Chountas, P. and Kodogiannis, V. 2004. Development of a clinical data warehouse. in: Desai, B.C. (ed.) IDEAS Workshop on Medical Information Systems: the digital hospital USA IEEE . pp. 8-14

Intelligent systems for computer-assisted clinical endoscopic image analysis
Boulougoura, M., Wadge, E., Kodogiannis, V. and Chowdrey, H.S. 2004. Intelligent systems for computer-assisted clinical endoscopic image analysis. in: Tilg, B. (ed.) Proceedings of the second IASTED international conference on biomedical engineering Anaheim, California, USA Acta Press.

Neuro-fuzzy ellipsoid basis function classifier for diagnosis of urinary tract infections
Wadge, E., Kodogiannis, V. and Tomtsis, D. 2003. Neuro-fuzzy ellipsoid basis function classifier for diagnosis of urinary tract infections. in: ICCMSE '03: Proceedings of the International Conference on Computational Methods in Sciences and Engineering New Jersey, USA World Scientific Publishing. pp. 673-677

Sniffing out the truth: clinical diagnosis based on soft computing methodologies using gas centre arrays
Wadge, E. and Kodogiannis, V. 2003. Sniffing out the truth: clinical diagnosis based on soft computing methodologies using gas centre arrays. in: Jervis, B.W. (ed.) Proceedings of the 5th International Conference on Neural Networks and Expert Systems in Medicine and Healthcare and 1st International Conference on Computational Intelligence in Medicine and Healthcare : Sheffield Hallam University, Sheffield, UK, 21-23 Sheffield School of Engineering, Sheffield Hallam University. pp. 93-98

Optical pH measurement using chromatic modulation
Tomtsis, D., Kodogiannis, V. and Wadge, E. 2003. Optical pH measurement using chromatic modulation. in: Proceedings of the International Conference on Computational Methods in Sciences and Engineering New Jersey, USA World Scientific Publishing. pp. 634-638

Evolutionary computing techniques for diagnosis of urinary tract infections in vivo, using gas sensors
Kodogiannis, V., Pavlou, A.K., Chountas, P. and Turner, A.P.F. 2003. Evolutionary computing techniques for diagnosis of urinary tract infections in vivo, using gas sensors. in: Rutkowski, L. (ed.) Neural networks and soft computing: proceedings of the Sixth International Conference on Neural Networks and Soft Computing, Zakopane, Poland, June 11-15 Physica-Verlag.

Generalized net representing of fuzzy-timing high-level petri nets
Gochev, V. and Kodogiannis, V. 2003. Generalized net representing of fuzzy-timing high-level petri nets. in: Jardim-Goncalves, R., Cha, J. and Steiger-Garcao, A. (ed.) Concurrent engineering-the vision for the future generation in research and applications: proceedings of the 10th ISPE International Conference on Concurrent Engineering, Research and Applications, 26-30 July 2003, Madeira, Portugal Lisse, The Netherlands A.A. Balkema. pp. 1087-1090

Temporal modelling in flexible workflow based environments
Chountas, P., Petrounias, I. and Kodogiannis, V. 2003. Temporal modelling in flexible workflow based environments. in: Yazici, A. (ed.) Computer and information sciences, ISCIS 2003: 18th International Symposium Antalya, Turkey, November 3-5 Berlin, Germany Springer. pp. 123-130

Forecasting financial time series using neural network and fuzzy system-based techniques
Kodogiannis, V. and Lolis, A. 2002. Forecasting financial time series using neural network and fuzzy system-based techniques. Neural Computing and Applications. 11 (2), pp. 90-102. https://doi.org/10.1007/s005210200021

Soft computing based techniques for short-term load forecasting
Kodogiannis, V. and Anagnostakis, E.M. 2002. Soft computing based techniques for short-term load forecasting. Fuzzy Sets and Systems. 128 (3), pp. 413-426. https://doi.org/10.1016/S0165-0114(01)00076-8

Digital image processing of axis-symmetric electric arc plasma based on chromatic modulation methods
Tomtsis, D. and Kodogiannis, V. 2002. Digital image processing of axis-symmetric electric arc plasma based on chromatic modulation methods. in: 6th WSES /IEEE Multi-conference CSCC-MCP-MCME 2002, Crete, July 2002 UNKNOWN. pp. 6881-6885

An intelligent detection scheme for sonar signal tracking
Kodogiannis, V. and Tomtsis, D. 2002. An intelligent detection scheme for sonar signal tracking. in: Proceedings of the 3rd WSEAS International Conference on Neural Network and Applications (NNA '02), Interlaken, Switzerland, February 11-15, 2002 WSEAS.

Intelligent diagnosis of urinary tract infections in vivo, using electronic noses
Kodogiannis, V., Pavlou, A.K., Chountas, P. and Turner, A.P.F. 2002. Intelligent diagnosis of urinary tract infections in vivo, using electronic noses. in: Hamza, M.H. (ed.) Proceedings of the IASTED International Conference, Signal Processing, Pattern Recognition, and Application, June 25-28, 2002, Crete, Greece Calgary, Canada Acta Press. pp. 155-160

Electronic nose: clinical diagnosis based on soft computing methodologies
Kodogiannis, V., Chountas, P., Pavlou, A.K., Petrounias, I., Chowdrey, H.S. and Temponi, C. 2002. Electronic nose: clinical diagnosis based on soft computing methodologies. in: Proceedings of the IEEE International Symposium Intelligent Systems: Methodology, Models, Applications in Emerging Technologies IS2002, 10-12 Sept.2002, Varna, Bulgaria USA IEEE .

Representation of temporal unawareness
Chountas, P., Petrounias, I., Atanassov, K.T., Kodogiannis, V. and El-Darzi, E. 2002. Representation of temporal unawareness. in: Yakhno, T. (ed.) Advances in Information Systems: Second International Conference, ADVIS 2002, Izmir, Turkey, October 23-25 London, UK Springer.

Representation and querying of temporal conflict
Chountas, P., Petrounias, I., Atanassov, K.T., Kodogiannis, V. and El-Darzi, E. 2002. Representation and querying of temporal conflict. in: Troels, A. (ed.) Flexible query answering systems: 5th International Conference, FQAS 2002, Copenhagen, Denmark, October 2002 London, UK Springer.

Representing and querying temporal workflow schemas
Chountas, P., Petrounias, I., Al-Roki, H. and Kodogiannis, V. 2002. Representing and querying temporal workflow schemas. Notes in Intuitionistic Fuzzy Sets. 8 (3), pp. 57-65.

A comparison between neural network and fuzzy system models for foreign exchange rates prediction
Kodogiannis, V. and Lolis, A. 2001. A comparison between neural network and fuzzy system models for foreign exchange rates prediction. Neural, Parallel and Scientific Computations. 9 (3-4), pp. 417-428.

In vitro determination of skin bilirubin using chromatic modulation
Tomtsis, D., Kodogiannis, V. and Zissopoulos, D. 2001. In vitro determination of skin bilirubin using chromatic modulation. in: Building new bridges at the frontiers of engineering and medicine: 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 25-28 October 2001, Istanbul, Turkey USA IEEE .

Analysis and measurement of the modal power distribution for guiding multimode fibres
Tomtsis, D., Kodogiannis, V. and Zissopoulos, D. 2001. Analysis and measurement of the modal power distribution for guiding multimode fibres. in: Proceedings of the 5th WSES/IEEE World Conference on Systems (CSCC2001) Rethymno, Greece WSES Press. pp. 3451-3456

Information extraction from acoustic signals by optical fibre interferometry techniques based on chromatic modulation
Tomtsis, D. and Kodogiannis, V. 2001. Information extraction from acoustic signals by optical fibre interferometry techniques based on chromatic modulation. in: Proceedings of the WSEAS International Conference: Mathematical Methods and Computational Techniques in Electrical Engineering (MMACTEE 2001) Vouliagmeni, Athens, Greece, December 29-31, 2001 WSEAS. pp. 5381-5386

Intelligent classification of bacterial clinical isolates in vitro, using electronic noses
Pavlou, A.K., Kodogiannis, V., Meechan Jones, J. and Turner, A.P.F. 2001. Intelligent classification of bacterial clinical isolates in vitro, using electronic noses. in: Papadourakis, G.M. (ed.) Proceedings of the 4th International Conference on Neural Networks and Expert Systems in Medicine and HealthCare, 20-22 Jun 2001, Milos Island, Greece Technological Educational Institute of Crete. pp. 231-237

Neural network adaptive controller for unmanned underwater vehicles
Kodogiannis, V. and Tomtsis, D. 2001. Neural network adaptive controller for unmanned underwater vehicles. Neural Network World. 11 (3), pp. 207-221.

A comparison between neural network and fuzzy system models for foreign exchange rates prediction
Kodogiannis, V. and Lolis, A. 2001. A comparison between neural network and fuzzy system models for foreign exchange rates prediction. Neural, Parallel and Scientific Computations. 9 (3/4), pp. 417-428.

Prediction of foreign exchange rates by neural network and fuzzy system based techniques
Kodogiannis, V. and Lolis, A. 2001. Prediction of foreign exchange rates by neural network and fuzzy system based techniques. in: ESANN 2001: European symposium on artificial neural networks D-Facto Publications. pp. 245-250

Forecasting exchange rates using neural network and fuzzy system based techniques
Kodogiannis, V. and Lolis, A. 2001. Forecasting exchange rates using neural network and fuzzy system based techniques. in: Proceedings of 2001 WSES International Conference Athens, Greece World Scientific and Engineering Society Press. pp. 4241-4246

Electronic nose: clinical diagnosis based on soft computing methodologies
Kodogiannis, V., Chountas, P., Pavlou, A.K. and Chowdrey, H.S. 2001. Electronic nose: clinical diagnosis based on soft computing methodologies. in: 2002 First International IEEE Symposium "Intelligent Systems" proceedings: September 10-12, 2002, St. Constantine and Helena resort, Varna, Bulgaria USA IEEE . pp. 254-259

An efficient fuzzy based technique for signal classification
Kodogiannis, V. 2001. An efficient fuzzy based technique for signal classification. Journal of Intelligent and Fuzzy Systems. 11 (1/2), pp. 65-84.

Neuro-fuzzy based techniques for acoustic signal classification
Kodogiannis, V. 2001. Neuro-fuzzy based techniques for acoustic signal classification. in: Proceedings of 2001 WSES International Conference Athens, Greece World Scientific and Engineering Society Press. pp. 5261-5267

Neural network adaptive control for underwater robotic systems
Kodogiannis, V. 2001. Neural network adaptive control for underwater robotic systems. in: Proceedings of the 5th WSES/IEEE World Conference on Systems (CSCC2001) Rethymno, Greece WSES Press. pp. 1271-1276

Comparison of advanced learning algorithms for short-term load forecasting
Kodogiannis, V. 2000. Comparison of advanced learning algorithms for short-term load forecasting. Journal of Intelligent & Fuzzy Systems. 8 (4), pp. 243-259.

Neural-network-based electric load forecasting systems
Kodogiannis, V. 1999. Neural-network-based electric load forecasting systems. Neural, Parallel and Scientific Computations. 7 (3), pp. 405-416.

A study of advanced learning algorithms for short-term load forecasting
Kodogiannis, V. and Anagnostakis, E.M. 1999. A study of advanced learning algorithms for short-term load forecasting. Engineering Applications of Artificial Intelligence. 12 (2), pp. 159-173. https://doi.org/10.1016/S0952-1976(98)00064-5

A neural adaptive control technique for manufacturing scheduling
Rovithakis, G., Gaganis, V., Perrakis, S., Kodogiannis, V. and Christodoulou, M. 1997. A neural adaptive control technique for manufacturing scheduling. in: Applications of Neural Adaptive Control Techniques World Scientific Publishing. pp. 121-151

Neural network identification and control of an underwater vehicle
Lisboa, P.J.G., Kodogiannis, V. and Lucas, J. 1997. Neural network identification and control of an underwater vehicle. Transactions of the Institute of Measurement and Control. 19 (4), pp. 202-210. https://doi.org/10.1177/014233129701900405

Neural Network Modelling and Control for Underwater Vehicles
Kodogiannis, V., Lisboa, P.J.G. and Lucas, J. 1996. Neural Network Modelling and Control for Underwater Vehicles. Artificial Intelligence in Engineering. 10 (3), pp. 203-212. https://doi.org/10.1016/0954-1810(95)00029-1

Long Range Predictive Controller for Underwater Robotic Vehicles using Recurrent Neural Networks
Kodogiannis, V., Lisboa, P.J.G. and Lucas, J. 1994. Long Range Predictive Controller for Underwater Robotic Vehicles using Recurrent Neural Networks. 2nd IEEE Mediterranean Symposium on New Directions in Control & Automation. Crete, Greece

Neural Network Based Predictive Control Systems for Underwater Robotic Vehicles
Kodogiannis, V., Lisboa, P.J.G. and Lucas, J. 1994. Neural Network Based Predictive Control Systems for Underwater Robotic Vehicles. Proc. of ELECTRO '94. Boston, USA IEEE . https://doi.org/10.1109/ELECTR.1994.472687

A neural predictive controller for underwater robotic applications
Kodogiannis, V., Lisboa, P.J.G. and Lucas, J. 1993. A neural predictive controller for underwater robotic applications. Proceedings of the 2nd IEEE/BCS Workshop on Neural Network Applications and Tools. Liverpool IEEE .