Journal papers

[1] C.D. Stylios and P.P. Groumpos, The Challenge of modeling Supervisory Systems using Fuzzy Cognitive Maps. Journal of Intelligent Manufacturing, Vol. 9, Νο. 4, pp. 339-345 (1998) (.pdf)

[2] C.D. Stylios and P.P. Groumpos, Fuzzy Cognitive Maps: A model
for Intelligent Supervisory Control Systems
. Computers in Industry, Vol. 39, Νο. 3, pp. 229-238 (1999) (.pdf)

[3] C.D. Stylios and P.P. Groumpos, A Soft Computing Approach for Modelling the Supervisor of Manufacturing Systems. Journal of Intelligent and Robotics Systems, Vol. 26, Νο. 3-4, pp. 389-403 (1999)(.pdf)

[4] C.D. Stylios and P.P. Groumpos, V.C. Georgopoulos, Fuzzy Cognitive Map Approach to Process Control Systems. Journal of Advanced Computational Intelligence, Vol. 3, No. 5, pp. 409-417 (1999) (.pdf)

[5] C.D. Stylios and P.P. Groumpos, Fuzzy Cognitive Maps in Modeling Supervisory Control Systems. Journal of Intelligent & Fuzzy Systems, Vol. 8, No. 2, pp. 83-98 (2000) (.pdf)

[6] P.P. Groumpos and C.D. Stylios, Modelling supervisory control systems using fuzzy cognitive maps.Chaos, Solitons and Fractals, Vol.11, Νο. 1-3, pp. 329-336 (2000) (.pdf)

[7] C. Stylios, G. Langer, B. Iung, Y.T. Hyun, C. Sorensen, M. Weck and P. Groumpos, Discipline research
contributions to the modelling and design of Intelligent Manufacturing systems
. Studies in Informatics and Control, Vol. 9, No. 2, pp. 111-132 (2000) (.pdf)

[8] V.C. Georgopoulos, G.A. Malandraki and C.D. Stylios, A Fuzzy Cognitive Map Approach To Differential Diagnosis of Specific Language Impairment. Journal of Artificial Intelligence in Medicine (IF:1,224), Vol. 29, No. 3, pp. 261-278 (2003) (.pdf)

[9] E. Papageorgiou, C. Stylios and P. Groumpos, An Integrated Two-level Hierarchical System for Decision Making in Radiation Therapy using Fuzzy Cognitive Maps. IEEE Transactions on Biomedical Engineering (IF: 1,398), Vol. 50, No. 12, pp.1326-1339 (2003) (.pdf)

[10] E. Papageorgiou, P. Spyridonos, C.D.Stylios, G. Nikiforidis and P. Groumpos, Grading urinary bladder tumors using unsupervised Hebbian algorithm for Fuzzy Cognitive Maps. Biomedical Soft Computing and Human Sciences, Vol. 9, No. 2, pp. 33-39 (2003) (.pdf)

[11] C.D. Stylios and P.P. Groumpos, Modeling Complex Systems Using Fuzzy Cognitive Maps. IEEE Transactions on Systems, Man and Cybernetics: Part A Systems and Humans (IF:0,555), Vol. 34, No. 1, pp.155-162 (2004) (.pdf)

[12] E. Papageorgiou, C.D. Stylios and P.Groumpos, Active Hebbian Learning Algorithm to train Fuzzy Cognitive Maps, International Journal of Approximate Reasoning (IF:0,929), Vol. 37, pp. 219-249 (2004)(.pdf)

[13] E. Papageorgiou, K.E. Parsopoulos, C.D.Stylios, P.P. Groumpos and M.N. Vrahatis, Fuzzy Cognitive Maps Learning Using Particle Swarm Optimization. Journal of Intelligent Information Systems (IF:0,851), Vol. 25, No. 1,pp. 95-107 (2005) (.pdf)

[14] E. Papageorgiou, P. Spyridonos, C.D.Stylios, R. Ravazoula, P.P. Groumpos and G. Nikiforidis, Advanced Soft Computing Diagnosis Method for Tumour Grading. Artificial Intelligence in Medicine (IF:1,122), Vol. 36, No. 1, pp. 59-70 (2006) (.pdf)

[15] G. Georgoulas, C.D. Stylios and P.P. Groumpos, Feature Extraction and Classification of Fetal Heart Rate Signals using Wavelet Analysis and Support Vector Machines. International Journal of Artificial Intelligent Tools, Vol. 15, No. 3, pp. 411-432 (2006) (.pdf)

[16] G. Georgoulas, C.D. Stylios and P.P. Groumpos, Predicting the risk of Metabolic Acidosis for Newborns based on Fetal Heart Rate
Signal Classification using Support Vector Machines
. IEEE Transactions on Biomedical Engineering, Vol. 53, No. 5, pp. 875-884 (2006) (.pdf)

[17] E. Papageorgiou, C.D. Stylios and P. Groumpos, Unsupervised Learning Techniques for Fine-Tuning Fuzzy Cognitive Map Causal Links. International Journal of Human Computer Studies, Vol. 64, pp. 727-743(2006) (.pdf)

[18] G. Georgoulas, D. Gavrilis, I. Tsoulos, C.D. Stylios, J. Bernardes and P.P. Groumpos, Novel Approach for fetal heart rate classification introducing grammatical evolution. Biomedical Signal Processing and Control, Vol. 2, pp. 69-79 (2007) (.pdf)

[19] E. Papageorgiou, P. Spyridonos, Th. Glotsos, C.D. Stylios, R. Ravazoula, G. Nikiforidis and P.P. Groumpos, Brain tumor characterization using the soft computing technique of fuzzy cognitive maps. Applied Soft Computing, Vol. 8, No. 1, pp. 820-828 (2008) (.pdf)

[20] C. Stylios, V. Georgopoulos, G. Malandraki, and S. Chouliara, Fuzzy cognitive map architectures for medical decision support systems. Applied Soft Computing, Vol. 8, pp. 1243-1251 (2008) (.pdf)

[21] V. Georgopoulos, and C. Stylios, Complementary case-based reasoning and competitive Fuzzy cognitive maps for advanced medical decisions. Soft Computing, Vol. 12, No. 2, pp. 191-199 (2008) (.pdf)

[22] V. Chudacek, G. Georgoulas, L. Lhotska, C. Stylios, M. Petrik and M. Cepek, Examining cross-database global training to evaluate five different methods for ventricular beat classification. Physiological Measurement (2009), Vol. 30, pp. 661-677 (2009) (.pdf)

[23] C.N. Antonopoulos, V.G. Papadakis, C.D. Stylios, M.P. Efstathiou and P.P. Groumpos, Mainstreaming innovation policy in less favoured regions: the case of Patras Science Park, Greece. Science and Public Policy, Vol. 36, No. 7, pp. 511-521 (2009) (.pdf)

[24] P. Zacharia, F. Stefanou, C.D. Stylios and P.P. Groumpos, Experiences and lessons learnt from an interregional growth project: the role of innovation and STPs. International Journal of Innovation and Regional Development, Vol. 3, No. 3/4, pp. 395-416 (2011) (.pdf)

[25] J. Spilka, V. Chudacek, M. Koucky, L. Lhotska, M. Huptych, P. Janku, G. Georgoulas and C. Stylios, Using nonlinear features for fetal heart rate classification. Biomedical Signal Processing and Control, Vol. 7, No. 4, pp. 350–357 (2012) (.pdf)

[26] Stavros Kolios, Chrysostomos D. Stylios, Identification of land cover/land use changes in the greater area of the Preveza peninsula in Greece using Landsat satellite data. Applied Geography, Volume 40, June 2013, pp. 150-160 (2013) (.pdf)

[27] G. Georgoulas, A. Konstantaras, E. Katsifarakis, C.D. Stylios, E. Maravelakis, G.J. Vachtsevanos, «Seismicmass» density-based algorithm for spatio-temporal clustering. Expert Systems with Applications, Volume 40, Issue 10, August 2013, pp. 4183-4189 (2013) (.pdf)

[28] G. Georgoulas, T. Loutas, C.D. Stylios and V. Kostopoulos, Bearing fault detection based on hybrid ensemble detector and Empirical Mode Decomposition. Mechanical Systems and Signal Processing, Volume 41, Issues 1–2, December 2013, pp. 510–525 (2013) (.pdf)

[29] G. Georgoulas, M.O. Mustafa, I.P. Tsoumas, J.A. Antonino-Daviu, V. Climente-Alarcon, C.D. Stylios, G. Nikolakopoulos, Principal
Component Analysis for the start-up transient and Hidden Markov Modeling for broken rotor bar fault diagnosis in asynchronous machines
. Expert Systems With Applications, Volume 40, Issue 17, December 2013, pp. 7024-7033 (2013) (.pdf)

[30] S. Kolios, G. Georgoulas and C.D. Stylios, Achieving downscaling of Meteosat thermal infrared imagery using artificial neural networks. International Journal of Remote Sensing, Vol. 34, No 21, pp. 7706-7722 (2013(.pdf)

[31] G. Georgoulas, P. Karvelis, G.Iacobellis, V. Boschian, M-P Fanti, W. Ukovich and C.D. Stylios, Harmony Search augmented with Optimal computing Budget allocation capabilities for Noisy Optimization. International Journal of Computer Science, Vol. 40, No 4, pp. 285-290 (2014) (.pdf)

[32] J. Fairley, G. Georgoulas, O. Smart G. Dimakopoulos, P. Karvelis, C. Stylios, D. Rye and D. Bliwise, Wavelet analysis for detection of phasic electromyographic activity in sleep: Influence of mother wavelet and dimentionality reduction. Computers in Biology and Medicine vol. 28, No.1, pp. 77-84 (2014) (.pdf)

[33] G. Georgoulas, I.P. Tsoumas, J.A. Antonino-Daviu, V. Climente-Alarcon, C.D. Stylios, E. Mitronikas, Automatic pattern identification based on the complex Empirical Mode Decomposistion of the startup current for the diagnosis of rotor asymmetries in asynchronous machines. IEEE Transactions of Industrial Electronics, Vol. 61, Issue 9, pp. 4937-4946, doi: 10.1109/TIE.2013.2284143 (2014) (.pdf)

[34] M-P. Fanti, G. Iacobellis, W. Ukovich, V. Boschian, G. Georgoulas, C. Stylios, A Simulation Based Decision Support System For Logistics Management. Journal of Computational Science, Volume 10, September 2015, Pages 86–96, doi:10.1016/j.jocs.2014.10.003 (2015) (.pdf)

[35] George Georgoulas, Petros Karvelis, Theodoros Loutas, Chrysostomos D. Stylios, Rolling element bearings diagnostics using the Symbolic Aggregate approXimation. Mechanical Systems and Signal Processing, Volumes 60–61, August 2015, Pages 229-242, ISSN 0888-3270, DOI: 10.1016/j.ymssp.2015.01.033 (2015) (.pdf)

[36] P. Karvelis, J. Spilka, G. Georgoulas, V. Chudacek, C. Stylios and L. Lhotska, Combining latent class analysis labeling with multiclass approach for fetal heart rate categorization. Physiological Measurement,Vol. 36, pp. 1001-1024 (2015) (.pdf)

[37]Petros Karvelis, George Georgoulas, Ioannis P. Tsoumas, Jose Alfonso Antonino-Daviu, Vicente Climente-Alarcón and Chrysostomos D. Stylios, A Symbolic Representation Approach for the Diagnosis of Broken Rotor Bars in Induction Motors. IEEE Transactions on Industrial Informatics, Vol. 11, Issue 5, pp. 1028-1037, DOI: 10.1109/TII.2015.2463680 (2015) (.pdf)

[38] Stavros Kolios, Chrysostomos Stylios, Aleksandr Petunin, A WebGIS platform to monitor environmental conditions in ports and their surroundings in South Eastern Europe. Environmental Monitoring and Assessment, 187:574, August 2015, DOI 10.1007/s10661-015-4786-x (2015) (link) (.pdf)

[39] V. Kreinovich and C. Stylios, Why Fuzzy Cognitive Maps are Efficient. International Journal of Computers, Communications & Control, Vol. 10, No 6, pp. 825-834 (2015) (.pdf)

[40] V. Kreinovich and C. Stylios, When Should We Switch from Interval-Valued Fuzzy to Full Type-2 Fuzzy (e.g. Gaussian)?. Critical Review: a publication of Society for Mathematics of Uncertianity, Vol. XI: 57-65 (2015) (.pdf)

[41] G. Georgoulas, V. Climente-Alarcon, J. Antonino-Daviu, C. Stylios, A. Arkkio, G. Nikolakopoulos, The use of a Multi-label Classification Framework for the Detection of Broken Bars and Mixed Eccentricity Faults based on the Start-up Transient. IEEE Transactions on Industrial Informatics, Volume: 13, Issue: 2, pp. 625-634, April 2017. DOI: 10.1109/TII.2016.2637169 (2017) (.pdf)

[42] V. Liagkou and C. Stylios, An E-Competence evaluation portal for Software Engineering master Course International Journal on Information Technologies & Security  Technology, pp. 27-38 (2017). (.pdf)

[43] C. Stylios, G. Georgoulas, P. Karvelis, B..Opacic, F. Simeoni, S. Maksimovic an W. Serreto, A web based Decision Support System for Intermodal Port and Dry Port Facilities  Journal  of Transportation Technologies, Vol. 7,  No 1 pp. 36-45 (  ISSN Online: 2160-0481 ISSN Print: 2160-0473   (2017).

[44] G. Georgoulas, P. Karvelis, J. Spilka, V. Chudacek, C. Stylios and L. Lhotska, Investigating pH based evaluation of fetal heart rate (FHR) recordings Health and Technology, Vol. 7,  No2-3 pp. 241-254 (2017). (.pdf)

[45] S. Kolios, S. Mitrakos and C. Stylios, Detection of areas susceptible to land degradation in Cyprus using remote sensed data and environmental quality indices. Land degradation & Development, Vol. 29, No 8, pp. 2338-2350   (2018). (.pdf)

[46] V. Liagkou, C. Stylios, A. Petunin, Handling Privacy and concurrency in an Online Educational Evaluation System, Baltic Journal of Modern Computing, Vol. 7 , No. 1, pp. 86–98, 2019(.pdf)

[47]V. Andrea, P Mpeza, D Barelos, C Stylios, Unraveling the Role of Plastic Waste Pollution in the Amvrakikos Wetlands National Park, Greece: The Stakeholders’ Views, Journal of Marine Science and Engineering 8 (8), 549. (2020) (.pdf)

[48] P. Karvelis, G. Georgoulas, V. Kappatos and C.D. Stylios, Deep machine learning for structural health monitoring on ship hulls using acoustic emission method. Ships and offshore structures, Vol. , No , pp. (2020) (.pdf)

[49] P. Karvelis, D. Mazzei, M. Biviano and C.D. Stylios, PortWeather: A Lightweight Onboard Solution for Real-Time Weather Prediction Sensors Vol. 20, No , 11 pp. (2020) (.pdf)

[50] G. Georgouas, P. Karvelis, V. Chudacek, J. Spilka, M. Bursa, L. Lhotska, C. Stylios and G. Nikolakopoulos. An exploratory approach to fetal heart rate pH Based Systems. Signal, Image and Vide Processing, (2020). (.pdf)

[51] Liagkou, V.; Stylios, C.; Pappa, L.; Petunin, A. Challenges and Opportunities in Industry 4.0 for Mechatronics, Artificial Intelligence and Cybernetics. Electronics 2021, 10, 2001.

[52] Paśko, Ł.; Mądziel, M.; Stadnicka, D.; Dec, G.; Carreras-Coch, A.; Solé-Beteta, X.; Pappa, L.; Stylios, C.; Mazzei, D.; Atzeni, D. Plan and Develop Advanced Knowledge and Skills for Future Industrial Employees in the Field of Artificial Intelligence, Internet of Things and Edge Computing. Sustainability 2022, 14, 3312.

[53] Dec, G.; Stadnicka, D.; Paśko, Ł.; Mądziel, M.; Figliè, R.; Mazzei, D.; Tyrovolas, M.; Stylios, C.; Navarro, J.; Solé-Beteta, X. Role of Academics in Transferring Knowledge and Skills on Artificial Intelligence, Internet of Things and Edge Computing. Sensors 2022, 22, 2496.

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