Εργασίες σε διεθνή επιστημονικά περιοδικά με κριτές

PapersΕργασίες
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  • J28) Arampatzis M, Pempetzoglou M, Tsadiras A. Two Lot-Sizing Algorithms for Minimizing Inventory Cost and Their Software Implementation. Information. 2024; 15(3):167. https://doi.org/10.3390/info15030167
  • J27) G. Theodoridis, A. Tsadiras, Retail Demand Forecasting: A Multivariate Approach and Comparison of Boosting and Deep Learning Methods, International Journal on Artificial Intelligence Tools, doi: https://doi.org/10.1142/S0218213024500015
  • J26) Fourkiotis, K.P.; Tsadiras, A. Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions. Forecasting 2024, 6, 170-186. https://doi.org/10.3390/forecast6010010
  • J25) Theodoridis, Georgios, and Athanasios Tsadiras. “Applying machine learning techniques to predict and explain subscriber churn of an online drug information platform.” Neural Computing and Applications (2022): 1-14.
  • J24) Viktoratos, I.; Tsadiras, A. “A Machine Learning Approach for Solving the Frozen User Cold-Start Problem in Personalized Mobile Advertising Systems”, Algorithms 2022, 15, 72. https://doi.org/10.3390/a15030072
  • J23) Viktoratos, I.; Tsadiras, A. “Personalized Advertising Computational Techniques: A Systematic Literature Review, Findings, and a Design Framework”, Information 2021, 12, 480. https://doi.org/10.3390/info12110480
  • J22) Tsadiras A., Pempetzoglou M. & Viktoratos I. “Making Predictions of Global Warming Impacts using a Semantic Web Tool that Simulates Fuzzy Cognitive Maps”, Computational Economics, Springer, vol.58, p. 715-745, https://doi.org/10.1007/s10614-020-10025-1, 2021.
  • J21) Babai M. Z., Tsadiras Α., Papadopoulos C. “On the empirical performance of some new neural network methods for forecasting intermittent demand”, IMA Journal of Management Mathematics, Oxford University Press, vol. 31, issue 3, pp. 281–305, 2020.
  • J20) Tsadiras Α, Nerantzidou M. “An Experimental Study on Social Media Advertising for Charity”, International Journal of Economics and Business Administration (2019), vol. VII, issue 4, pp. 403-416.
  • J19) Viktoratos I., Tsadiras A.K., Bassiliades N,, “Combining Community-Based Knowledge with Association Rule Mining to Alleviate the Cold Start Problem in Context-Aware Recommender Systems”, Expert Systems with Applications, Vol. 101, July 2018, pp. 78-90.
  • J18) Viktoratos I., Tsadiras Α.Κ., Bassiliades N., “Modeling Human Daily Preferences through a Context-Aware Web-Mapping System Using Semantic Technologies”, Pervasive and Mobile Computing, in press,;dx.doi.org/10.1016/j.pmcj.2016.08.002, 2016.
  • J17) Tsadiras, A. & Zitopoulos, G. “Fuzzy cognitive maps as a decision support tool for container transport logistic”,  Evolving Systems (2016), pp1-15, doi:10.1007/s12530-016-9161-9
  • J16)   Mardas D., Tsadiras Α.Κ., “Monitoring Public Procurement using a Fuzzy Logic System”, Journal of Stock and Forex Trading,vol. 4, issue 1, no.139, 2015.
  • J15) I. Viktoratos, A. Tsadiras, N. Bassiliades, “A Context-Aware Web-Mapping System for Group-Targeted Offers Using Semantic Technologies”, Expert Systems with Applications, vol. 42, issue 9, pp.4443-4459, Elsevier, 2015.
  • J14)   Tsadiras Α.Κ., Papadopoulos C.T, O’Kelly M.E.J., “An Artificial Neural Network based Decision Support System for Solving the Buffer Allocation Problem in Reliable Production Lines”, Computers & Industrial Engineering, vol. 66, issue 4, pp. 1150-1162 Elsevier, 2013.
  • J13)Tsadiras Α.Κ., Bassiliades N., “RuleML Representation and Simulation of Fuzzy Cognitive Maps”, Expert Systems with Applications, vol.40, pp. 1413–1426, Elsevier, 2013.
  • J12) Papadopoulos C.T., O’Kelly M., Tsadiras Α.Κ., “A DSS for the Buffer Allocation of Production Lines based on a Comparative Evaluation of a set of Search Algorithms”, International Journal of Production Research, DOI:10.1080/00207543.2012.752585, pp. 1-25, 2013.
  • J11) Papavasileiou V., Tsadiras Α.Κ., “Evaluating Time Variations of Association Rules in Market Basket Analysis”, Intelligent Decision Technology, Volume 7, Number 1, pp. 81-90, 2013.
  • J10) Tsadiras Α.Κ., “Comparing the Inference Capabilities of Binary, Trivalent and Sigmoid Fuzzy Cognitive Maps”, Information Sciences, Volume 178 , Issue 20, pp.3880-3894 , Elsevier, 2008.
  • J9) Tsadiras Α.Κ., “Simulating Fuzzy Cognitive Map Models for Making Predictions” WSEAS Transactions on Information Science and Applications, vol.2, pp.1689-1696, 2005.
  • J8) Tsadiras Α.Κ. and Margaritis K.G., “A Study of the Two Unit Certainty Neuron Fuzzy Cognitive Map,” Neural, Parallel & Scientific Computations, vol. 9, no. 1, pp. 67-90, 2001.
  • J7) Tsadiras Α.Κ. and Margaritis K.G., “An Experimental Study of Dynamics of the Certainty Neuron Fuzzy Cognitive Maps,” NeuroComputing, vol.24, pp. 95-116, 1999.
  • J6) Tsadiras Α.Κ. and Margaritis K.G., “Two Neuron Fuzzy Cognitive Map Dynamics,” International Journal of Computer Mathematics, vol. 67, pp. 47-75, 1998.
  • J5) Tsadiras Α.Κ. and Margaritis K.G., “The MYCIN Certainty Factor Handling Function as Uninorm Operator and its Use as Threshold Function in Artificial Neurons,” Fuzzy Sets and Systems, vol. 93, pp.263-274, 1998.
  • J4) Tsadiras Α.Κ. and Margaritis K.G., “Cognitive Mapping and Certainty Neuron Fuzzy Cognitive Maps,” Information Sciences, vol. 101, pp.109-130, 1997.
  • J3) Tsadiras Α.Κ. and Margaritis K.G., “Using Certainty Neurons in Fuzzy Cognitive Maps,” Neural Network World, vol. 6, pp.719-728, 1996.
  • J2) Tsadiras Α.Κ., Margaritis K.G. and B. G. Mertzios, “Strategic Planning Using Fuzzy Cognitive Maps,” Studies in Informatics and Control, vol. 4, pp.237-245, 1995.
  • J1) Tsadiras Α.Κ., Mertzios B. G. and Margaritis K.G., “Recent Advances on the Implementation of Fuzzy Systems Using Artificial Neural Networks,” Studies in Informatics and Control, vol. 4, pp.85-90, 1995.
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