Representation of temporal unawareness

Concept Drift Complexity for Assessing Sampling-Induced Concept Drift in Class-Imbalanced Data Streams
Hajmohammed, M., Chountas, Panagiotis and Chaussalet, Thierry J. 2024. Concept Drift Complexity for Assessing Sampling-Induced Concept Drift in Class-Imbalanced Data Streams. 2024 IEEE 12th International Conference on Intelligent Systems (IS). Varna, Bulgaria 29 - 31 Aug 2024 IEEE . pp. 1-5 https://doi.org/10.1109/is61756.2024.10705246

A Concept Drift Based Approach To Evaluating Model Performance And Theoretical Lifespan
Hajmohammed, Mustafa, Chountas, Panagiotis and Chaussalet, Thierry J. 2024. A Concept Drift Based Approach To Evaluating Model Performance And Theoretical Lifespan. IEEE 14th International Conference on Pattern Recognition Systems (ICPRS). London, United Kingdom 15 - 18 Jul 2024 IEEE . pp. 1-6 https://doi.org/10.1109/icprs62101.2024.10677806

Fuzzy Fractional Brownian Motion: Review and Extension
Georgy Urumov, Panagiotis Chountas and Thierry Chaussalet 2024. Fuzzy Fractional Brownian Motion: Review and Extension. Algorithms. 17 (7) 289. https://doi.org/10.3390/a17070289

On OWA, Machine Learning and Big Data: The case for IFS over universes
Panagiotis Chountas, Mustafa Hajmohammed and Ismael Rhemat 2024. On OWA, Machine Learning and Big Data: The case for IFS over universes. Notes on Intuitionistic Fuzzy Sets. 30 (2), pp. 113-120. https://doi.org/10.7546/nifs.2024.30.2.113-120

From Data Quality to Predictive Big Data Quality
Rhemat, I., Chountas, P. and Roubert, F. 2024. From Data Quality to Predictive Big Data Quality. 12th IEEE International Conference on Intelligent Systems - IS'24. Varna, Bulgaria 31 Jul - 29 Aug 2024 IEEE .

Preprint: Fuzzy Fractional Brownian Motion: Review and Extension
Georgy Urumov, Panagiotis Chountas and Thierry Chaussalet 2024. Preprint: Fuzzy Fractional Brownian Motion: Review and Extension. Preprints.org. https://doi.org/10.20944/preprints202405.2078.v1

Business Process Data Oriented Quality: the case of Mellitah Oil & Gas
Rhemat, I., Chountas, P. and Roubert, F. 2024. Business Process Data Oriented Quality: the case of Mellitah Oil & Gas. 5th International Conference on Data Analytics & Management (ICDAM-2024). London Metropolitan University, London, UK 14 - 15 Jun 2024 Springer.

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

Essay on Volatility Clusters and Time Series Prediction
Urumov, G. and Chountas, P. 2022. Essay on Volatility Clusters and Time Series Prediction. 2022 IEEE 11th International Conference on Intelligent Systems (IS). Warsaw, Poland 12 - 14 Oct 2022 IEEE . https://doi.org/10.1109/is57118.2022.10019619

Clustering stock price volatility using intuitionistic fuzzy sets
Urumov, G. and Chountas, P. 2022. Clustering stock price volatility using intuitionistic fuzzy sets . Notes on Intuitionistic Fuzzy Sets. 28 (3), pp. 343-352. https://doi.org/10.7546/nifs.2022.28.3.343-352

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

Intercriteria Analysis and Arithmetic Functions
Atanassov, K.T., Atanassova, V. and Chountas, P. 2019. Intercriteria Analysis and Arithmetic Functions. in: Hadjiski, M. and Atanassov, K.T. (ed.) Intuitionistic Fuzziness and Other Intelligent Theories and Their Applications Springer. pp. 1-11

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

Generalized Net Model of Muscle Pain Diagnosing
Ribagin, S., Chountas, P. and Pencheva, T. 2017. Generalized Net Model of Muscle Pain Diagnosing. Christiansen, H., Jaudoin, H., Chountas, P., Andreasen, T. and Legind Larsen, H. (ed.) 12th International Conference, FQAS 2017. London, UK 21 - 22 Jun 2017 Springer. https://doi.org/10.1007/978-3-319-59692-1_24

Application of Topological Operators over Data from InterCriteria Analysis
Roeva, O., Vassilev, P. and Chountas, P. 2017. Application of Topological Operators over Data from InterCriteria Analysis. Christiansen, H., Jaudoin, H., Chountas, P., Andreasen, T. and Legind Larsen, H. (ed.) 12th International Conference, FQAS 2017. London, UK 21 - 22 Jun 2017 Springer. https://doi.org/10.1007/978-3-319-59692-1_19

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

Intercriteria analysis over normalized data
Atanassov, K.T., Atanassova, V., Chountas, P., Mitkova, M., Sotirova, E., Sotirov, S. and Stratiev, D. 2016. Intercriteria analysis over normalized data. Yager, R., Sgurev, V., Hadjiski, M. and Jotsov, V. (ed.) 2016 IEEE 8th International Conference on Intelligent Systems. Sofia, Bulgaria 04 - 06 Sep 2016 IEEE . https://doi.org/10.1109/IS.2016.7737480

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

Generalized Net Model of an Expert System Dealing with Temporal Hypothesis
Chountas, P., Atanassov, K.T., Sotirova, E. and Bureva, V. 2015. Generalized Net Model of an Expert System Dealing with Temporal Hypothesis. Andreasen, T., Christiansen, H., Kacprzyk, J., Larsen, H., Pasi, G., Pivert, O., De Tré, G., Vila, M.A., Yazici, A. and Zadrozny, S. (ed.) 11th International Conference FQAS 2015. Cracow, Poland 26 - 28 Oct 2015 Springer. https://doi.org/10.1007/978-3-319-26154-6_36

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

Generalized Net of the Process of Sequential Pattern Mining by Generalized Sequential Pattern Algorithm (GSP)
Bureva, V., Sotirova, E. and Chountas, P. 2014. Generalized Net of the Process of Sequential Pattern Mining by Generalized Sequential Pattern Algorithm (GSP). Filev, D., Jabłkowski, J., Kacprzyk, J., Krawczak, M., Popchev, I., Rutkowski, L., Sgurev, V., Sotirova, E., Szynkarczyk, P. and Zadrozny, S. (ed.) 7th IEEE International Conference Intelligent Systems IS’2014. Warsaw, Poland 24 - 26 Sep 2014 Springer. https://doi.org/10.1007/978-3-319-11310-4_72

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

Arc-Based Soft XML Pattern Matching
Alzebdi, M., Chountas, P. and Atanassov, K.T. 2013. Arc-Based Soft XML Pattern Matching. Larsen, H.L., Martin-Bautista, M.J., Amparo Vila, M., Andreasen, T. and Christiansen, H. (ed.) 10th International Conference on Flexible Query Answering Systems, FQAS 2013. Granada, Spain 18 - 20 Sep 2013 Springer. https://doi.org/10.1007/978-3-642-40769-7_28

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

Approximate XML query matching and rewriting using Intuitionistic Fuzzy Trees
Alzebdi, M., Chountas, P. and Atanassov, K.T. 2012. Approximate XML query matching and rewriting using Intuitionistic Fuzzy Trees. 6th IEEE International Conference on Intelligent Systems (IS). Sofia, Bulgaria 06 - 08 Sep 2012 IEEE . https://doi.org/10.1109/IS.2012.6335216

Intelligent analysis of acute bed overflow in a tertiary hospital in Singapore
Teow, K.L., El-Darzi, E., Foo, C., Jin, X. and Sim, J. 2012. Intelligent analysis of acute bed overflow in a tertiary hospital in Singapore. Journal of Medical Systems. 36 (3), pp. 1873-1882. https://doi.org/10.1007/s10916-010-9646-1

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

The notion of H-IFS: an approach for enhancing the OLAP capabilities in oracle10g
Chountas, P., Rogova, E. and Atanassov, K.T. 2011. The notion of H-IFS: an approach for enhancing the OLAP capabilities in oracle10g. International Journal of Intelligent Systems. 26 (3), pp. 262-283. https://doi.org/10.1002/int.20466

Intuitionistic fuzzy XML query matching
Chountas, P., Alzebdi, M. and Atanassov, K. 2011. Intuitionistic fuzzy XML query matching. 9th International Conference, FQAS 2011. Ghent, Belgium 26 Oct 2011 Springer. https://doi.org/10.1007/978-3-642-24764-4_27

A generalized net with an ACO-algorithm optimization component
Chountas, P., Atanassova, V., Fidanova, S. and Atanassov, K.T. 2011. A generalized net with an ACO-algorithm optimization component. 8th International Conference, LSSC 2011. Sozopol, Bulgaria 06 Jun 2011 Springer. https://doi.org/10.1007/978-3-642-29843-1_21

Data warehousing based architecture for the reporting of the NHS primary care prescribing
Redzanovic, S., Chountas, P., Chaussalet, T.J., Fouladinejad, F., Tadjer, M. and Fouladinajed, F. 2011. Data warehousing based architecture for the reporting of the NHS primary care prescribing. in: Olive, M. and Solomonides, T. (ed.) Proceedings of CMBS: the 24th International Symposium on Computer-Based Medical Systems, June 27th – 30th, 2011, Bristol, United Kingdom IEEE .

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

Temporal conflict in workflow schemas
Chountas, P. and Petrounias, I. 2011. Temporal conflict in workflow schemas. Journal of Computational Methods in Sciences and Engineering. 11 (4), pp. 193-207. https://doi.org/10.3233/JCM-2011-0365

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

An IFTr approach to approximate XML query matching
Alzebdi, M., Chountas, P. and Atanassov, K.T. 2011. An IFTr approach to approximate XML query matching. in: 2011 IEEE International Conference on Systems, Man, and Cybernetics (SMC) IEEE . pp. 2425-2430

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

A statistical framework for evaluating neural networks to predict recurrent events in breast cancer
Gorunescu, F., Gorunescu, M., El-Darzi, E. and Gorunescu, S. 2010. A statistical framework for evaluating neural networks to predict recurrent events in breast cancer. International Journal of General Systems. 39 (5), pp. 471-488. https://doi.org/10.1080/03081079.2010.484282

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.

Patient grouping optimization using a hybrid self-organizing map and Gaussian mixture model for length of stay-based clustering system
Gorunescu, F., Belciug, S., El-Darzi, E. and Gorunescu, M. 2010. Patient grouping optimization using a hybrid self-organizing map and Gaussian mixture model for length of stay-based clustering system. in: 5th IEEE International Conference on Intelligent Systems (IS 2010) proceedings IEEE . pp. 173-178

Evaluating alternative surgery plans with discrete-event simulation model
Fei, H., Meskins, N. and El-Darzi, E. 2010. Evaluating alternative surgery plans with discrete-event simulation model. in: 2010 IEEE Workshop on Health Care Management (WHCM), Italy, 18-20 February 2010 IEEE . pp. 1-6

Expressing hierarchical preferences in OLAP queries
Chountas, P., Rogova, E. and Atanassov, K.T. 2010. Expressing hierarchical preferences in OLAP queries. in: Kacprzyk, J., Petry, F.E. and Yazici, A. (ed.) Uncertainty approaches for spatial data modeling and processing Berlin Heidelberg Springer.

A partially connected neural network-based approach with application to breast cancer detection and recurrence
Belciug, S. and El-Darzi, E. 2010. A partially connected neural network-based approach with application to breast cancer detection and recurrence. in: 5th IEEE International Conference on Intelligent Systems (IS 2010) proceedings IEEE . pp. 191-196

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

Modeling the Listeria monocytogenes survival/death curves using wavelet neural networks
Amina, M., Kodogiannis, V., Revett, K. and Lygouras, J.N. 2010. Modeling the Listeria monocytogenes survival/death curves using wavelet neural networks. in: 2010 International Joint Conference on Neural Networks (IJCNN), Barcelona, Spain, 18-23 July 2010 IEEE . pp. 1-8

Enhancing DWH models with the utilisation of multiple hierarchical schemata
Alzebdi, M., Chountas, P. and Atanassov, K.T. 2010. Enhancing DWH models with the utilisation of multiple hierarchical schemata. in: Proceeding of the 2010 IEEE International Conference on Systems Man and Cybernetics (SMC), Istanbul, 10-13 Oct. 2010 IEEE . pp. 488-492

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

Support vector machine learning with an evolutionary engine
Stoean, R., Preuss, M., Stoean, C., El-Darzi, E. and Dumitrescu, D. 2009. Support vector machine learning with an evolutionary engine. Journal of the Operational Research Society. 60 (8), pp. 1116-1122. https://doi.org/10.1057/jors.2008.124

An evolutionary approximation for the coefficients of decision functions within a support vector machine learning strategy
Stoean, R., Preuss, M., Stoean, C., El-Darzi, E. and Dumitrescu, D. 2009. An evolutionary approximation for the coefficients of decision functions within a support vector machine learning strategy. in: Abraham, A., Hassanien, A.E., Patrick, S. and Andries, E. (ed.) Foundations of computational intelligence Berlin Heidelberg Springer.

An evolutionary approximation for the coefficients of decision functions within a support vector machine learning strategy
Stoean, R., Preuss, M., Stoean, C., El-Darzi, E. and Dumitrescu, D. 2009. An evolutionary approximation for the coefficients of decision functions within a support vector machine learning strategy. in: Hassanien, A.E., Abraham, A., Vasilakos, A.V. and Pedrycz, W. (ed.) Foundations of computational intelligence Berlin Heidelberg Springer.

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

Using Granular Computing theories for service-oriented systems analysis and design
Huang, W. and El-Darzi, E. 2009. Using Granular Computing theories for service-oriented systems analysis and design. in: IEEE International Conference on Granular Computing (GrC 2009), Nanchang, China, August 17-19, 2009 IEEE . pp. 264-267

Clustering patient length of stay using mixtures of Gaussian models and phase type distributions
Garg, L., McClean, S.I., Meenan, B., El-Darzi, E. and Millard, P.H. 2009. Clustering patient length of stay using mixtures of Gaussian models and phase type distributions. in: Proceedings of the 22nd IEEE International Symposium on Computer-Based Medical Systems (CBMS 2009) IEEE . pp. 1-7

Performance analysis of ambulatory services using dicrete event simulation
Fei, H., Meskins, N. and El-Darzi, E. 2009. Performance analysis of ambulatory services using dicrete event simulation. in: Proceedings of the International Conference on Industrial Engineering and Systems Management (IESM' 2009), May 13-15, Montreal, Canada WASET.

Length of stay-based clustering methods for patient grouping
El-Darzi, E., Abbi, R., Vasilakis, C., Gorunescu, F., Gorunescu, M. and Millard, P.H. 2009. Length of stay-based clustering methods for patient grouping. in: McClean, S.I., Millard, P.H., El-Darzi, E. and Nugent, C. (ed.) Intelligent patient management Berlin Heidelberg Springer.

Enhancing OLAP querying with the aid of H-IFS
Chountas, P., Rogova, E. and Atanassov, K.T. 2009. Enhancing OLAP querying with the aid of H-IFS. International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference. Lisbon, Portugal 20th - 24th July 2009 pp. 1797-1802

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 decision support system for measuring and modelling the multi-phase nature of patient flow in hospitals
Vasilakis, C., El-Darzi, E. and Chountas, P. 2008. A decision support system for measuring and modelling the multi-phase nature of patient flow in hospitals. in: Chountas, P., Petrounias, I. and Kacprzyk, J. (ed.) Intelligent techniques and tools for novel system architectures Berlin Heidelberg Springer.

The notion of H-IFS in data modelling
Rogova, E., Chountas, P. and Atanassov, K.T. 2008. The notion of H-IFS in data modelling. in: IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2008) (IEEE World Congress on Computational Intelligence) IEEE . pp. 1399-1405

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

Representation of value imperfection with the aid of background knowledge: H-IFS
Kolev, B., Chountas, P., Rogova, E. and Atanassov, K.T. 2008. Representation of value imperfection with the aid of background knowledge: H-IFS. in: Chountas, P., Petrounias, I. and Kacprzyk, J. (ed.) Intelligent techniques and tools for novel system architectures Springer.

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

A statistical evaluation of neural computing approaches to predict recurrent events in breast cancer
Gorunescu, F., Gorunescu, M., El-Darzi, E. and Gorunescu, S. 2008. A statistical evaluation of neural computing approaches to predict recurrent events in breast cancer. in: Proceedings of the 4th International IEEE Conference on Intelligent Systems IS'08. Varna, Bulgaria, September, 6-8 2008 Los Alamitos, USA IEEE .

The notion of H-IFS -an approach for enhancing query capabilities in Oracle10g
Chountas, P., Rogova, E., Mohammed, S. and Atanassov, K.T. 2008. The notion of H-IFS -an approach for enhancing query capabilities in Oracle10g. in: Proceedings of the 4th International IEEE Conference on Intelligent Systems IS'08. Varna, Bulgaria, September, 6-8 2008 Los Alamitos, USA IEEE . pp. 569-574

Length of stay based grouping and classification methodology for modelling patient flow
Abbi, R., El-Darzi, E., Vasilakis, C. and Millard, P.H. 2008. Length of stay based grouping and classification methodology for modelling patient flow. Journal of Operations and Logisitics. 2 (2), pp. 1-9.

A Gaussian mixture model approach to grouping patients according to their hospital length of stay
Abbi, R., El-Darzi, E., Vasilakis, C. and Millard, P.H. 2008. A Gaussian mixture model approach to grouping patients according to their hospital length of stay. in: Proceedings of the 21st IEEE International Symposium on Computer-Based Medical Systems (CBMS '08) IEEE . pp. 524-529

Analysis of stopping criteria for the EM algorithm in the context of patient grouping according to length of stay
Abbi, R., El-Darzi, E., Vasilakis, C. and Millard, P.H. 2008. Analysis of stopping criteria for the EM algorithm in the context of patient grouping according to length of stay. in: Proceedings of the 4th International IEEE Conference on Intelligent Systems IS'08. Varna, Bulgaria, September, 6-8 2008 Los Alamitos, USA IEEE .

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

Applying data mining algorithms to inpatient dataset with missing values
Liu, P., El-Darzi, E., Lei, L., Vasilakis, C., Chountas, P. and Huang, W. 2008. Applying data mining algorithms to inpatient dataset with missing values. Journal of Enterprise Information Management. 21 (1), pp. 81-92. https://doi.org/10.1108/17410390810842273

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

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.

Generalized Net Model for Outpatient Care in Bulgaria
Tasseva, V., Peneva, D., Atanassov, K.T., El-Darzi, E., Chountas, P. and Vasilakis, C. 2007. Generalized Net Model for Outpatient Care in Bulgaria. in: Proc of Twentieth IEEE International Symposium on Computer-Based Medical Systems, 2007. CBMS '07. IEEE . pp. 701

Flexible hierarchies and fuzzy knowledge-based OLAP
Rogova, E., Chountas, P. and Atanassov, K.T. 2007. Flexible hierarchies and fuzzy knowledge-based OLAP. in: Proc. of Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. IEEE . pp. 7-11

On imprecision intuitionistic fuzzy sets & OLAP - the case for KNOLAP
Rogova, E. and Chountas, P. 2007. On imprecision intuitionistic fuzzy sets & OLAP - the case for KNOLAP. in: Castillo, O., Patricia Melin, B., Pedryczev, W. and Kacprzyk, J. (ed.) Theoretical Advances and Applications of Fuzzy Logic and Soft Computing Berlin and Heidelberg GmbH & Co. KG Springer. pp. 11-22

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

Extending the gaia methodology for the design and development of agent-based software systems
Huang, W., El-Darzi, E. and Jin, L. 2007. Extending the gaia methodology for the design and development of agent-based software systems. in: Proceedings of the 31st Annual IEEE International Computer Software and Applications Conference (COMPSAC 2007), Peking (Beijing), China, July 23-27 2007 Los Alamitos, USA IEEE .

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

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

An OLAP-enabled software environment for modelling patient flow
Vasilakis, C., El-Darzi, E. and Chountas, P. 2006. An OLAP-enabled software environment for modelling patient flow. in: Proceedings of the 3rd International IEEE Conference on Intelligent Systems Los Alamitos, USA IEEE . pp. 261-266

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.

Healthcare data mining: predicting inpatient length of stay
Liu, P., Lei, L., Yin, J., Zhang, W., Naijun, W. and El-Darzi, E. 2006. Healthcare data mining: predicting inpatient length of stay. in: Proceedings of the 3rd International IEEE Conference on Intelligent Systems Los Alamitos, USA IEEE . pp. 832-837

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

Agent-based models for community care systems analysis and design
Huang, W., El-Darzi, E., Chountas, P. and Liu, P. 2006. Agent-based models for community care systems analysis and design. in: Proceedings of the 3rd IEEE International Conference on Intelligent Systems (IS-2006) Los Alamitos, USA IEEE . pp. 278-283

Generalized net model of an expert system with temporal components
Atanassov, K.T., Chountas, P., Kolev, B. and Sotirova, E. 2006. Generalized net model of an expert system with temporal components. Advanced Studies in Contemporary Mathematics. 12 (2), pp. 255-289.

Length of stay-based patient flow models: recent developments and future directions
Marshall, A.H., Vasilakis, C. and El-Darzi, E. 2005. Length of stay-based patient flow models: recent developments and future directions. Health Care Management Science. 8 (3), pp. 213-220. https://doi.org/10.1007/s10729-005-2012-z

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

Generalized net model with intuitionistic fuzzy estimations of the process of obtaining of scientific titles and degrees
Shannon, A., Riecan, B., Langova-Orozova, D., El-Darzi, E., Kerre, E., Sotirova, E., Gorunescu, F., Petrounias, I., Trelewicz, J., Atanassov, K.T., Krawczak, M., Chountas, P., Melo-Pinto, P., Georgiev, P., Kim, T. and Tasseva, V. 2005. Generalized net model with intuitionistic fuzzy estimations of the process of obtaining of scientific titles and degrees. Notes on Intuitionistic Fuzzy Sets. 11, pp. 95-114.

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 .

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.

A feature selection procedure and its application in health care
Liu, P., El-Darzi, E., Vasilakis, C., Chountas, P., Huang, W. and Zhu, J. 2005. A feature selection procedure and its application in health care. Craiova Medical Journal.

An analysis of missing data treatment methods and their application to health care dataset
Liu, P., El-Darzi, E., Lei, L., Vasilakis, C., Chountas, P. and Huang, W. 2005. An analysis of missing data treatment methods and their application to health care dataset. in: Li, X., Wang, S. and Dong, Z.Y. (ed.) Advanced Data Mining and Applications: First International Conference, ADMA 2005, Wuhan, China, July 22-24, 2005: proceedings Berlin, Germany Springer.

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

Representing uncertainty and ignorance in probabilistic data using the intuitionistic fuzzy relational data model
Kolev, B., Chountas, P., Atanassov, K.T. and Petrounias, I. 2005. Representing uncertainty and ignorance in probabilistic data using the intuitionistic fuzzy relational data model. in: Atanassov, K.T., Kacprzyk, J., Krawczak, M. and Szmidt, E. (ed.) Issues in the representation and processing of uncertain and imprecise information Exit Academic Book Publishers. pp. 198-208

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.

Multi-lingual database querying and the atoms of language
Kapetanios, E. and Chountas, P. 2005. Multi-lingual database querying and the atoms of language. in: Montoyo, A., Munoz, R. and Metais, E. (ed.) Natural Language Processing and Information Systems: 10th International Conference on Applications of Natural Language to Information Systems, NLDB 2005, Alicante, Spain, June 15-17, 2005. Proceedings Berlin, Germany Springer.

MDDQL: an ontology driven, multi-lingual query language and system for an integrated view of heterogeneous data sources
Kapetanios, E. and Chountas, P. 2005. MDDQL: an ontology driven, multi-lingual query language and system for an integrated view of heterogeneous data sources. Semantic Technology Conference 2005. California, USA 07-10 Mar 2005

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 heuristic approach in hepatic cancer diagnosis using a probabilistic neural network-based model
Gorunescu, M., Gorunescu, F., Ene, M. and El-Darzi, E. 2005. A heuristic approach in hepatic cancer diagnosis using a probabilistic neural network-based model. in: Janssen, J. and Lenca, P. (ed.) Applied Stochastic Models and Data Analysis Brest, France ENST Bretagne. pp. 1016-1025

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

An evolutionary computational approach to probabilistic neural network with application to hepatic cancer diagnosis
Gorunescu, F., Gorunescu, M., El-Darzi, E. and Gorunescu, S. 2005. An evolutionary computational approach to probabilistic neural network with application to hepatic cancer diagnosis. in: Tsymbal, A. and Cunningham, P. (ed.) 18th IEEE Symposium on Computer-Based Medical Systems, 2005: proceedings USA IEEE . pp. 461-466

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.

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.

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

A data warehouse environment for storing and analyzing simulation output data
Vasilakis, C., El-Darzi, E. and Chountas, P. 2004. A data warehouse environment for storing and analyzing simulation output data. in: Ingalls, R.G., Rossetti, M.D., Smith, J.S. and Peters, B.A. (ed.) Proceedings of the 2004 Winter Simulation Conference USA IEEE .

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 .

Comparative analysis of data mining algorithms for predicting inpatient length of stay
Liu, P., El-Darzi, E., Vasilakis, C., Chountas, P., Huang, W. and Lei, L. 2004. Comparative analysis of data mining algorithms for predicting inpatient length of stay. Pacific Asia Conference on Information Systems 2004. Bangkok, Thailand 07-10 Jul 2005

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 .

Developing an agent oriented emergency service system with AUML and gaia methodology
Huang, W., El-Darzi, E. and Beer, M.D. 2004. Developing an agent oriented emergency service system with AUML and gaia methodology. in: Proceedings of the International Conference on Computer, Communication and Control Technologies (CCCT '04), University of Texas, U.S.A, August 14-17, 2004 USA IEEE . pp. 244-252

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.

Temporality and intuitionistic fuzzy data warehouses
Chountas, P., Petrounias, I., Vasilakis, C. and El-Darzi, E. 2004. Temporality and intuitionistic fuzzy data warehouses. Notes on 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

Data cube modelling and OLAP algebra for hospital length of stay analysis
Vasilakis, C., El-Darzi, E. and Chountas, P. 2003. Data cube modelling and OLAP algebra for hospital length of stay analysis. Craiova Medicala Journal: Proceedings of The 1st MEDINF International Conference on Medical Informatics & Engineering. 5 (3), pp. 509-512.

A complete framework for Web mining
Tseng, A., Petrounias, I. and Chountas, P. 2003. A complete framework for Web mining. in: IEEE International Conference on Systems, Man and Cybernetics, 2003 Los Alamitos, USA IEEE .

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

Representation and modelling of electronic patient records
Sivagurunathan, K., Chountas, P. and El-Darzi, E. 2003. Representation and modelling of electronic patient records. in: Proceedings of the International Conference of Computational Methods in Sciences and Engineering 2003 (ICCMSE 2003): Kastoria, Greece, September 12-16 New Jersey, USA World Scientific Publishing. pp. 598-603

Constraint based web mining
Petrounias, I., Tseng, A. and Chountas, P. 2003. Constraint based web mining. in: Simos, T.E. (ed.) Proceedings of the International Conference of Computational Methods in Sciences and Engineering 2003 (ICCMSE 2003): Kastoria, Greece, September 12-16 New Jersey, USA World Scientific Publishing. pp. 504-511

Intuitionistic fuzzy relational databases
Kolev, B. and Chountas, P. 2003. Intuitionistic fuzzy relational databases. Notes on Intuitionistic Fuzzy Sets. 9 (4), pp. 109-113.

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

A Generalized net, representing the functioning and the results of the work of Fuzzy Petri Nets
Gochev, V., Atanassov, K.T. and Chountas, P. 2003. A Generalized net, representing the functioning and the results of the work of Fuzzy 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 Lisse, Netherlands A.A. Balkema. pp. 1009-1012

Generalized net with partial batch token movement
Georgiev, P. and Chountas, P. 2003. Generalized net with partial batch token movement. 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 Lisse, Netherlands A.A. Balkema. pp. 1005-1008

Data warehouses-TOLAP-decision making
Chountas, P., Vasilakis, C., El-Darzi, E., Petrounias, I. and Tseng, A. 2003. Data warehouses-TOLAP-decision making. in: IEEE International Conference on Systems, Man and Cybernetics, 2003 USA IEEE .

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

IFGNs in analysing transaction database systems with continuous deadlock detection
Kolev, B., Petrounias, I. and Chountas, P. 2002. IFGNs in analysing transaction database systems with continuous deadlock detection. Notes in Intuitionistic Fuzzy Sets. 8 (3), pp. 95-100.

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 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 simulation study of the winter bed crisis
Vasilakis, C. and El-Darzi, E. 2001. A simulation study of the winter bed crisis. Health Care Management Science. 4 (1), pp. 31-36. https://doi.org/10.1023/A:1009649615548

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

The LH5 model for data mining
El-Darzi, E. and Parapadakis, D. 2001. The LH5 model for data mining. First International Conference of Electronic Business. Hong Kong 19-21 Dec 2001 pp. 467-478

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

Virtual integration of temporal and conflicting information
Chountas, P. and Petrounias, I. 2001. Virtual integration of temporal and conflicting information. in: 2001 International Database Engineering & Applications Symposium: proceedings: 16-18 July, 2001, Grenoble, France California, USA IEEE . pp. 243-248

Precise enterprises and imprecise data
Chountas, P. and Petrounias, I. 2001. Precise enterprises and imprecise data. in: Barzdins, J. and Caplinskas, A. (ed.) Databases and information systems: Fourth International Baltic Workshop, Baltic DB&IS 2000, Vilnius, Lithuania, May 1-5, 2000 London, UK Kluwer Academic Publishers. pp. 57-68

Editorial: Modelling the process of care
Chaussalet, T.J. and El-Darzi, E. 2001. Editorial: Modelling the process of care. Health Care Management Science. 4 (1), p. 5. https://doi.org/10.1023/A:1009659711914

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 .