Δημοσιεύσεις

D.N. Markatos, S. Malefaki and S.G. Pantelakis (2023) "Sensitivity Analysis of a Hybrid MCDM Model for Sustainability Assessment—An Example from the Aviation Industry" Aerospace, 10 (4), 385.

 

D. Logothetis, S. Malefaki, S. Trevezas and P.H. Cournède (2022) ‘‘Bayesian estimation for the GREENLAB plant growth model with deterministic organogenesis’’ Journal of Agricultural, Biological, and Environmental Statistics, 27(1), 63–87.

 

P. Patrikelis, A.R. Giovagnoli, L. Messinis, Th. Fasilis, S. Malefaki, A. Verentzioti, M. Stefanatou, A. Alexoudi, S. Korfias, V. Kimiskidis, S. Gatzonis (2022) ‘‘Understanding frontal lobe function in epilepsy: Juvenile myoclonic epilepsy vs. Frontal lobe epilepsy’’ Epilepsy & ehavior, 134, 108850.

 

V. Fyndanis, G. Miceli, R. Capasso, H. Killmer, S. Malefaki, and K. K. Grohmann (2022) ‘‘Production of sentential negation in German and Italian non-fluent aphasia’’ Journal of Psycholinguistic Research, 1–28.

 

V. Fyndanis, E. Masoura, S. Malefaki, E. Chatziadamou, I. Dosi, D. Caplan (2022) ‘‘The role of working memory, shortterm memory, speed of processing, and education in verbrelated

morphosyntactic production: Evidence from Greek’’ Frontiers in Psychology, 3224.

 

L. Messinis, G. Nasios, A. Mougias, P. Patrikelis, S. Malefaki, V. Panagiotopoulos, A. Ntoskou - Messini, Ch. Bakirtzis, N. Grigoriadis, P. Ioannidis, S. Bairami, V. Papadopoulou and Ph. Gourzis (2022) ‘‘Comparison of the Greek Version of the Quick Mild Cognitive Impairment Screen and Montreal Cognitive Assessment in older adults’’ Healthcare, 10(5), 906.

 

D. Logothetis, S. Malefaki, S. Trevezas and P.H. Cournède (2021) ‘‘Bayesian estimation for the GREENLAB plant growth model with deterministic organogenesis’’ Journal of Agricultural, Biological, and Environmental Statistics, 27(1), 63–87.

 

P. Economou, A. Batsidis, S. Malefaki, G. Tzavelas (2021) ‘‘Understanding the sampling bias: A case study on NBA drafts has been accepted for publication’’ Journal of Statistical Theory and Practice, 15(2), 1–20

 

V.P. Koutras, S. Malefaki and A.N. Platis (2020) ‘‘Opportunistic maintenance on the automatic switching mechanism of a two-unit multi-state system’’ European J. of Industrial Engineering 15(5), 616–642.

 

P. Economou, S. Malefaki, K. Kounetas (2020) ‘‘A Metafrontier Production Function for a Bayesian frontier model: A cross-country Comparison’’ Communications in Statistics – Case Studies and Data Analysis, 7(1), 88-111.

 

V. Fyndanis, L. Messinis, G. Nasios, E. Dardiotis, M. Martzoukou, M. Pitopoulou, K. Ntoskou, S. Malefaki (2020) ‘‘Impaired verbrelated morphosyntactic production in multiple sclerosis: Evidence from Greek’’ Frontiers in Psychology, section Language Sciences, 11, 2051.

 

V.P. Koutras, S. Malefaki, A.N. Platis (2020) ‘‘Stochastic Modelling of Opportunistic Maintenance for Series Systems with Degrading Components’’ In Cui, Frenkel & Lisnianski (Eds.), Stochastic Modeling in Reliability Engineering, CRC Press, Taylor and Francis Group, Boca Raton, Pages 183-198.

 

V.P. Koutras, S. Malefaki and A.N. Platis (2020) ‘‘Dependability and Performance Analysis for a Two Unit Multi-State System with Imperfect Switch’’. In A. Makrides, A. Karagrigotiou & C. Skiadas (Eds.), Data Analysis and Applications 4, volume 6, iSTE WILEY, London, Pages 119-153.

 

L. Messinis, M. Kosmidis, G. Nasios, S. Konitsiotis, A. Ntoskou, C. Bakirtzis, N. Grigoriadis, P. Patrikelis, E. Panagiotopoulos e, P. Gourzis, S. Malefaki, P. Papathanasopoulos (2020) ‘‘Do Secondary Progressive Multiple Sclerosis patients benefit from Computer-based cognitive neurorehabilitation? A randomized sham controlled trial’’ Multiple Sclerosis and Related Disorders, volume 39, 101932.

L. Messinis, G. Nasios, M.H. Kosmidis, P. Zampakis, S. Malefaki, K. Ntoskou, A. Nousia, Ch. Bakirtzis, Nikolaos Grigoriadis, Ph. Gourzis and P. Papathanasopoulos (2017) ``Efficacy of a Computer-Assisted Cognitive Rehabilitation Intervention in Relapsing-Remitting Multiple Sclerosis Patients: A Multicenter Randomized Controlled Trial.'' Behavioural Neurology, volume 2017.

 L. Messinis, G. Nasios, S. Malefaki and P. Papathanasopoulos (2017) ``Is the RehaCom cognitive rehabilitation software effective in treating cognitive impairment in Multiple Sclerosis?'', EC Neurology ECO.01 (2017): 16-18.

S. Malefaki, V.P. Koutras and A.N. Platis. (2017) ``Optimizing availability and performance of a two-unit redundant multi-state deteriorating system. Recent Advances in Multi-State Reliability'', Springer Series in Reliability Engineering, Part of the Springer Series in Reliability Engineering book series (RELIABILITY), Springer, Berlin. Pages 71-105.

N. Karacapilidis, S. Malefaki and A. Charissiadis (2017) ``A novel framework for augmenting the quality of explanations in recommender systems'', Intelligent Decision Technologies: An International Journal, 11(2), 187-197.

V. P Koutras, S. Malefaki and A.N. Platis, (2017) ``Optimization of the Dependability and Performance Measures of a Generic Model for Multi-State Deteriorating Systems under Maintenance''. Reliability Engineering & System Safety, 166, 73-86.

L. Messinis, G. Nasios, A. Mougias, A. Politis, P. Zampakis, E. Tsiamaki S. Malefaki, P. Gourzis and P. Papathanasopoulos, (2016) ``Age and education adjusted normative data and discriminative validity for Rey's Auditory Verbal Learning Test in the elderly Greek population'', Journal of Clinical and Experimental Neuropsychology, 38(1), 23--39.

N. Eleftheroglou, T.H. Loutas and S. Malefaki, (2015) ``Stochastic modeling of fatigue damage in composite materials via Non Homogeneous Hidden Semi Markov Processes and health monitoring measurements'', In Statistical, Stochastic and Data Analysis Methods and Applications (ISAST), Alex Karagrigoriou, Teresa Oliveira and Christos H. Skiadas (Eds), 19-33.

S. Malefaki, P. Economou and C. Caroni. (2015) Modelling times between events with a cured fraction using a first hitting time regression model with individual random effects. In "Risk Assessment Challenges: Theory and Practice", by Springer Proceedings in Mathematics and Statistics, pp 45--65, Volume 136.

P. Economou, S. Malefaki and C. Caroni. (2015)  "Bayesian threshold regression model with random effects for recurrent events." Methodology and Computing in Applied Probability, 17(4), 871--898. doi: 10.1007/s11009-015-9445-82015

S. Trevezas, S. Malefaki and P.H. Cournede, (2014) ‘‘Simulation techniques for parameter estimation via a stochastic ECM algorithm with applications to plant growthmodeling", Computational Statistics & Data Analysis,78, 82-99.

 S. Malefaki, N. Limnios and P. Dersin, (2014) ``Reliability of maintained systems under a semi--Markov setting."  Reliability Engineering & System Safety, 131, 282-290.

V. P Koutras, S. Malefaki and A.N. Platis, (2014) ``Rejuvenation Effects on the Grid Environment Performance with Response Time Delays using Monte Carlo Simulation." Simulation Modelling Practice and Theory, 40, 176 - 191.

Iliopoulos, G. and Malefaki, S. (2013). ``Variance reduction of estimators arising from Metropolis-Hastings algorithms." Statistics and Computing, 23(5), 577--587.

Chryssaphinou, Ο. Limnios N. and  Malefaki. S. (2011) "Multi-state Reliability Systems under Discrete Time Semi-Markovian Hypothesis." IEEE Transactions on Reliability, 60(1), 80-87.

Malefaki, S. Trevezas, S. and Limnios, N. (2010) "An improved EM and a Stochastic EM algorithm for nonparametric hidden Semi-Markov models." Communications in Statistics - Simulation and Computation, 39(2), 240-261.

Malefaki, S. and Iliopoulos, G. (2009). "Simulation from a target distribution based on discretization and weighting." Communications in Statistics - Simulation and Computation, 38(4), 829-845.

Georgiou, V.L., Malefaki, S., Parsopoulos, K.E, Alevizos, Ph.D. and Vrahatis, M.N. (2009) "Extended Evolutionary Bayesian Probabilistic Neural Network model." Lecture notes in Computer Science, 5851, 30-44.

Malefaki, S. and Iliopoulos, G. (2008). "On convergence of importance sampling to the target distribution." Journal of Statistical Planning and Inference, 138(4), 1210-1225.

Papathanasopoulos, P., Messinis, L., Lyros, E., Nikolakopoulou, A., Gourzoulidou, E. and Malefaki, S. (2008). "Communicating the diagnosis of Multiple Sclerosis - results of a survey among Greek neurologists." Journal of Neurology, 255(12):1963-1969.

Malefaki, S. and Iliopoulos, G. (2007). "Simulating from a multinomial distribution with large number of categories." Computational Statistics & Data Analysis, 51(12), 5471-5476.

Malefaki, S. and Iliopoulos, G. (2007). "An application of the theory of Semi--Markov processes in simulation." In Recent Advances in Stochastic Modelling and Data Analysis, 213 - 220, C.H. Skiadas (ed.), World Scientific.

Messinis, L., Tsakona, I., Malefaki, S. and Papathanasopoulos, P. (2007). "Normative Data and Discriminant Validity of Rey's Auditory Verbal Learning Test for the Greek Adult Population." Archives of Clinical Neuropsychology, 22(6), 739-752.

Messinis, L., Kuprianidou, A. Malefaki, S. and Papathanasopoulos, P. (2006) "Neuropsychological deficits of long - term frequent cannabis users." Neurology, 5, 737 - 739.

 

Δημοσιεύσεις σε Πρακτικά Διεθνών Συνεδρίων (με κριτές)

P. Economou, S. Malefaki. ‘‘CHANGE POINT DETECTION IN COINTEGRATED ENVIRONMENTAL TIME SERIES’’, Protection and Restoration of the Environment XV, Patras, Greece, 2020.

V.P. Koutras, S. Malefaki and A. N. Platis. ``Optimal Maintenance Policies of a Two Unit Multi-State Deteriorating System with Imperfect Switch'', 5th Stochastic Modeling Techniques and Data Analysis International Conference, SMTDA 2018 (to appear).}

S. Malefaki, V. Koutras and A. Platis. ``Multi-State Deteriorating System Dependability with Maintenance Using Monte Carlo Simulation'', Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management, 2016.

A.Panagopoulos, S. Malefaki and I. Nikas. ``Forecasting the tourism demand using time-series: A case study on the prefectures of Western Greece'', 5th International Conference on Tourism \& Hospitality Management, 2015, 152-166.

S. Malefaki, V.P. Koutras and A.N. Platis, ``Optimizing the availability and the operational cost of a periodically inspected multi-state deteriorating system with condition based maintenance policies'', 9th International Conference on Availability, Reliability and Security (2014), 403--411.

A.N. Platis, V.P. Koutras, S. Malefaki. Achieving high availability levels of a deteriorating system by optimizing condition based maintenance policies, Safety, Reliability and Risk Analysis: Beyond the Horizon-Steenbergen et al (Eds), 2014 Taylor & Francis Group, London, ISBN 978-1-138-00123-7, Pages 829-837, (2014).

S. Malefaki, V.P. Koutras, A.N. Platis. Modeling Software Rejuvenation on a Redundant System Using Monte Carlo Simulation, 2012 IEEE 23rd International Symposium on Software Reliability Engineering Workshops (ISSREW), Dallas TX, USA, Pages 277-282, (2012), doi: 10.1109/ISSREW.2012.89.

V.P. Koutras, S. Malefaki, A.N. Platis. A Monte Carlo Simulation Based Dependability Analysis of a non-Markovian Grid Computing Environment with Software Rejuvenation, Advances in Safety, Reliability and Risk Management - Proceedings of the European Safety and Reliability Conference, ESREL 2011, Pages: 1959-1966, (2011), doi: 10.1201/b11433-276.

S. Malefaki, A.N. Platis. “Grid computing dependability analysis based on Monte Carlo simulation”, Proceedings of European Safety and Reliability Conference, ESREL 2010, Pages 1026-1032, (2010).

 

Chryssaphinou, O., Limnios, N. and Malefaki, S. "Multi-state Reliability Systems under Discrete Time Semi-Markovian Hypothesis", 6th International Conference on Mathematical Methods in Reliability (MMR 2009), Moscow, Russia, 22-27/6/2009.

 

Georgiou, V.L., Malefaki, S., Alevizos, Ph.D. and Vrahatis, M.N. "Determining Evolutionary Bayesian Probabilistic Neural Network Parameters through Particle Swarm Optimization", 12th International Conference on Applied Stochastic Models and Data Analysis (ASMDA 2007), Chania, Greece, 29/5 - 1/6/2007.

 

Georgiou, V.L. and Malefaki, S. ‘‘Incorporating Bayesian Models For The Estimation Of The Spread Parameters Of Probabilistic Neural Networks With Application In Biomedical Tasks’’, BIOSTAT 2006, 2931/5/2006, Limassol, Cyprus, pp. 305-310.