| [J65] | Gkontzis, A.F., Kotsiantis, S., Panagiotakopoulos, C.T., & Verykios, V.S. (2022). A predictive analytics framework as a countermeasure for attrition of students. Interactive Learning Environments, 30(3), pp. 568-582. DOI: 10.1080/10494820.2019.1709209 |
| [J64] | Alachiotis, N. S., Kotsiantis, S., Sakkopoulos, E., & Verykios, V. S. (2022). Supervised machine learning models for student performance prediction. Intelligent Decision Technologies. DOI 10.3233/IDT-210251 |
| [J63] | Tsoni, R., Panagiotakopoulos, T.C., & Verykios, V.S. (2021). Revealing latent traits in the social behavior of distance learning students. Education and Information Technologies, (on line). https://link.springer.com/article/10.1007%2Fs10639-021-10742-6 |
| [J62] | Verykios, V.S., Stavropoulos, E.C., Zorkadis, V., Katsikatsos, G., & Sakkopoulos, E. (2021). Sensitive Data Hiding in Financial Anti-Fraud Process. International Journal of Electronic Governance, (in typesetting process). |
| [J61] | Paxinou, E., Kalles, D., Panagiotakopoulos, C.T., Sgourou, A., & Verykios, V. S. (2021). An IRT-Based Approach to Assess the Learning Gain of a Virtual Reality Lab Students’ Experience. Intelligent Decision Technologies Journal, 15(3), pp.487-496. DOI: 10.3233/IDT-200216 |
| [J60] | Paxinou, E., Kalles, D., Panagiotakopoulos, C.T., & Verykios, V.S. (2021). Analyzing Sequence Data with Markov Chain Models in Scientific Experiments. SN COMPUT. SCI. 5(2). https://doi.org/10.1007/s42979-021-00768-5 |
| [J59] | Verykios, V.S., Stavropoulos, E.C., Krasadakis, P., & Sakkopoulos, E. (2021). Frequent itemset hiding revisited: pushing hiding constraints into mining. Appl Intell. https://doi.org/10.1007/s10489-021-02490-4 |
| [J58] | Tsoni, R., Sakkopoulos, E., Panagiotakopoulos, C.T., & Verykios, V.S. (2021). On the equivalence between bimodal and unimodal students’ collaboration networks in distance learning. Intell. Decis. Technol. 15(2), pp. 305-319. DOI: 10.3233/IDT-200137 |
| [J57] | Karapiperis, D., Gkoulalas-Divanis, A., & Verykios, V.S. (2021). Summarizing and linking electronic health records. Distributed and Parallel Databases, 39(2), pp. 321-360. DOI: 10.1007/s10619-019-07263-0 |
| [J56] | Lazarinis, F., Alexandri, K., Panagiotakopoulos, C.T., & Verykios, V.S. (2020). Correction to: Sensitizing young children on internet addiction and online safety risks through storytelling in a mobile application. Education and Information Technologies, 25(6) pp. 5913. DOI: 10.1007/s10639-020-10303-3 |
| [J55] | Gkontzis, A.F., Kotsiantis, S., Kalles, D., Panagiotakopoulos, C.T., & Verykios, V.S. (2020). Polarity, emotions and online activity of students and tutors as features in predicting grades. Intelligent Decision Technologies, 14(3), pp. 409-436. DOI: 10.3233/IDT-190137 |
| [J54] | Feretzakis, G., Kalles, D., & Verykios, V.S. (2020). Local distortion hiding algorithm in medical data: A case study using CART. Studies in Health Technology and Informatics, 272, pp. 99-102. DOI: 10.3233/SHTI200503 |
| [J53] | Tsoni, R., Paxinou, E., Stavropoulos, E., Panagiotakopoulos, C. T., & Verykios S. V. (2020). Looking under the hood of students’ collaboration networks in distance learning. The Envisioning Report for Empowering Universities, 39. |
| [J52] | Lazarinis, F., Alexandri, K., Panagiotakopoulos, C., & Verykios, V.S. (2020). Sensitizing young children on internet addiction and online safety risks through storytelling in a mobile application. Education and Information Technologies, 25(1), pp. 163-174. DOI: 10.1007/s10639-019-09952-w |
| [J51] | Kyritsi, K.H., Zorkadis, V., Stavropoulos, E.C., & Verykios, V.S. (2019). The pursuit of patterns in educational data mining as a threat to student privacy. Journal of Interactive Media in Education, 2019(1):2, pp.1-10. DOI: 10.5334/jime.502 |
| [J50] | Tsoni, R., Stavropoulos, E.C., & Verykios V.S. (2019). Leveraging Learning Analytics with the Power of Words. The Envisioning Report for Empowering Universities, 24. |
| [J49] | Feretzakis, G., Kalles, D., & Verykios, V.S. (2019). Using minimum local distortion to hide decision tree rules. Entropy, 21(4), pp.1-16. DOI: 10.3390/e21040334 |
| [J48] | Lazarinis, F., Karachristos, C.V., Stavropoulos, E.C., & Verykios, V.S. (2019). A blended learning course for playfully teaching programming concepts to school teachers. Education and Information Technologies, 24(2), pp. 1237-1249. DOI: 10.1007/s10639-018-9823-2 |
| [J47] | Kouvara, T. K., Karasoula, S. A., Karachristos, C. V., Stavropoulos, E. C., & Verykios, V. S. (2019). Technology and School Unit Improvement: Researching, Reconsidering and Reconstructing the School Context through a Multi-Thematic Digital Storytelling Project. Social Sciences, 8(2), 49. MDPI AG. Retrieved from http://dx.doi.org/10.3390/socsci8020049 |
| [J46] | Gkontzis, A.F., Kotsiantis, S., Panagiotakopoulos, C.T., & Verykios, V.S. (2019). A predictive analytics framework as a countermeasure for attrition of students. Interactive Learning Environments. DOI: 10.1080/10494820.2019.1709209 |
| [J45] | Alachiotis, N.S., Stavropoulos, E.C., & Verykios, V.S. (2019). Analyzing learners behavior and resources effectiveness in a distance learning course: A case study of the Hellenic Open University. Journal of Information Science Theory and Practice, 7(3), pp. 6-20. DOI: 10.1633/JISTaP.2019.7.3.1 |
| [J44] | Feretzakis, G., Kalles, D., & Verykios, V.S. (2019). Hiding Decision Tree Rules in Medical Data: A Case Study. Studies in Health Technology and Informatics, 4(262), pp. 368-371. doi: 10.3233/SHTI190095. PMID: 31349344. |
| [J43] | Feretzakis, G., Kalles, D., & Verykios, V.S. (2019). On using linear diophantine equations for in-parallel hiding of decision tree rules. Entropy, 21(1), 66. DOI: 10.3390/e21010066 |
| [J42] | Karapiperis, D., Gkoulalas-Divanis, A., & Verykios, V.S. (2018). Fast schemes for online record linkage. Data Mining and Knowledge Discovery, 32(5), pp. 1229-1250. DOI: 10.1007/s10618-018-0563-0 |
| [J41] | Karapiperis, D., Gkoulalas-Divanis, A., & Verykios, V.S. (2018). FEDERAL: A Framework for Distance-Aware Privacy-Preserving Record Linkage. IEEE Transactions on Knowledge and Data Engineering, 30(2), pp. 292-304. DOI: 10.1109/TKDE.2017.2761759. |
| [J40] | Paxinou, E., Sgourou, A., Panagiotakopoulos, C. & Verykios, S. V. (2017). The Item Response Theory for the Assessment of Users’ Performance in a Biology Virtual Laboratory. Open Education – The Journal for Open and Distance Education and Educational Technology, 13(2), 107-123. |
| [J39] | Gakis, P., Panagiotakopoulos, C., Sgarbas, K., Tsalidis, C., & Verykios, V.S. (2017). Design and construction of the Greek grammar checker. Digital Scholarship in the Humanities, 32(3), pp. 554-576. DOI: 10.1093/llc/fqw025 |
| [J38] | Karapiperis, D., & Verykios, V.S. (2016). A fast and efficient Hamming LSH-based scheme for accurate linkage. Knowledge and Information Systems, 49(3), pp. 861-884. DOI: 10.1007/s10115-016-0919-y |
| [J37] | Kalles, D., Verykios, V.S., Feretzakis, G., & Papagelis, A. (2016). Data set operations to hide decision tree rules. Frontiers in Artificial Intelligence and Applications, 285, pp. 1575-1576. DOI: 10.3233/978-1-61499-672-9-1575 |
| [J36] | Kagklis, V., Karatrantou, A., Tantoula, M., Panagiotakopoulos, C., Verykios, V.S. (2016). A Learning Analytics Methodology for Detecting Sentiment in Student Fora: A Case Study in Distance Education. European Journal of Open, Distance and E-learning, 18(2), pp. 74-94. |
| [J35] | Stavropoulos, E. C.,Verykios. V. S. and Kakglis V. A. (2015). A Transversal Hypergraph Approach for the Frequent Itemset Hiding Problem. Knowledge and Information Systems, 47(3), pp. 625-645. DOI: 10.1007/s10115-015-0862-3 |
| [J34] | Karapiperis, D., Verykios V.S. (2015). Load-Balancing the Distance Computations in Record Linkage. ACM SIGKDD Explorations Newsletter, 11(1), pp. 1-7. |
| [J33] | Karapiperis D., Verykios V.S. An LSH-based Blocking Approach with a Homomorphic Matching Technique for Privacy-Preserving Record Linkage. IEEE Transactions on Knowledge and Data Engineering, vol. 27, issue 4, pp. 909-921, 2015. |
| [J32] | Vatsalan, D., Christen. P. and Verykios, V.S. Challenges for Privacy Preservation in Data Integration. ACM Journal of Data and Information Quality, vol. 5, no. 1-2, pp. 41-43, 2014. |
| [J31] | Vatsalan, D., Christen. P., O’Keefe, C. and Verykios, V.S. An Evaluation Framework for Privacy-Preserving Record Linkage, Journal of Privacy and Confidentiality, vol. 6, number 1, pp. 35-75, 2014. |
| [J30] | Karapiperis D., Verykios V.S. A Distributed Near-Optimal LSH-based Framework for Privacy-Preserving Record Linkage. Computer Science and Information Systems, vol. 11, issue 2, pp. 745-763, 2014. |
| [J29] | Verykios, V.S., Christen, P. Privacy-preserving record linkage. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, vol. 3, no 5, pp. 321-332, 2013. |
| [J28] | Vatsalan, D., Christen, P. and Verykios, V.S. A Taxonomy of Privacy-Preserving Record Linkage Techniques. Information Systems, vol. 38, no. 6, pp. 946-969, 2013. |
| [J27] | Verykios, V.S. Association Rule Hiding Methods. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, vol. 3, no. 1, pp. 28-36, 2013. |
| [J26] | Sioutas, S., Magkos, E., Karydis, I. and Verykios, V.S. Uncertainty for Privacy and 2-Dimensional Range Query Distortion. Journal of Computing Science and Engineering, vol. 5, no. 3, pp. 210-222, 2011. |
| [J25] | Karakasidis, A. and Verykios, V.S. Secure Blocking+Secure Matching=Secure Record Linkage. Journal of Computing Science and Engineering, vol.5, no. 3, pp. 223-235, 2011. |
| [J24] | Gkoulalas-Divanis, A. and Verykios, V.S. Concealing the Position of Individuals in Location Based Services. Operational Research: An International Journal, vol. 11, no. 2, pp. 201-214, 2011. |
| [J23] | Gkoulalas-Divanis, A., Saygin Y. and Verykios, V.S. Foreword for the special issue of selected papers from the 1st ECML/PKDD Workshop on Privacy and Security issues in Data Mining and Machine Learning. Transactions on Data Privacy, vol. 4, no. 3, pp. 127-128, 2011.[J22] Gkoulalas-Divanis, A., Kalnis, P. and Verykios, V.S. Providing k-Anonymity in Location Based Services. SIGKDD Explorations, vol. 12, no. 1, pp. 3-10, 2010. |
| [J21] | Gkoulalas-Divanis, A. and Verykios, V.S. An Overview of Privacy Preserving Data Mining. ACM Crossroads, vol. 15, no. 4, Article No 6, 2009. |
| [J20] | Gkoulalas-Divanis, A. and Verykios, V.S. Hiding Sensitive Knowledge without Side-Effects. Knowledge and Information Systems Journal, vol. 20, no. 3, pp. 263-299, September 2009. |
| [J19] | Moustakides, G.V. and Verykios, V.S. Optimal Stopping: A Record Linkage Approach. ACM Journal of Data and Information Quality, vol. 1, issue 2, September 2009. |
| [J18] | Verykios, V.S., Karakasidis, A., Mitrogiannis, V.K. Privacy Preserving Record Linkage Approaches. International Journal of Data Mining, Modelling and Management, vol. 1, no. 2, pp. 206-221, May 2009. |
| [J17] | Gkoulalas-Divanis, A. and Verykios, V.S. Exact Knowledge Hiding through Database Extension. IEEE Transactions on Knowledge and Data Engineering, vol. 21, issue 5, pp. 699-713, May 2009. |
| [J16] | Gkoulalas-Divanis, A., Verykios, V.S. and Bozanis, P. A Network Aware Privacy Model for Online Requests in Trajectory Data. Data and Knowledge Engineering Journal, vol. 68, issue 4, pp. 431-452, April 2009. |
| [J15] | Gkoulalas-Divanis, A. and Verykios, V.S. Exact Knowledge Hiding in Transactional Databases. International Journal on Artificial Intelligence Tools, vol. 18, issue 1, pp. 17-37, February 2009. |
| [J14] | Gkoulalas-Divanis, A. and Verykios, V.S. A Privacy-Aware Trajectory Tracking Query Engine. SIGKDD Explorations, vol. 10, issue 1, pp. 40-49, July 2008. |
| [J13] | Moustakides, G.V. and Verykios, V.S. (2007). A MaxMin Approach for Hiding Frequent Itemsets. Data and Knowledge Engineering Journal, vol. 65, issue 1, pp. 75-89. |
| [J12] | Verykios, V.S., Pontikakis E., Theodoridis Y. and Chang L. Efficient Algorithms for Distortion and Blocking Techniques in Association Rule Hiding. Distributed and Parallel Databases Journal, vol. 22, no. 1, pp. 85-104, August 2007. |
| [J11] | Elmagarmid, A.K., Ιpeirotis, P. and Verykios, V.S. Duplicate Record Detection: A Survey. IEEE Transactions on Knowledge and Data Engineering, vol. 19, no 1, pp. 1-16, January 2007. |
| [J10] | Verykios, V.S., Elmagarmid, A.K., Bertino, E., Saygin, Y. and Dasseni, E. Association Rule Hiding. IEEE Transactions on Knowledge and Data Engineering, vol. 16, no. 4, pp. 434-447, April 2004. |
| [J9] | Verykios, V.S., Bertino, E., Fovino, I.N., Provenza, L.P., Saygin, Y. and Theodoridis, Y. State-of-the-Art in Privacy Preserving Data Mining. SIGMOD Record, vol. 33, no. 1, pp. 50-57, March 2004. |
| [J8] | Verykios, V.S., Moustakides, G.V. and Elfeky, M.G. A Bayesian Decision Model for Cost Optimal Record Matching. The VLDB Journal, vol. 12, no. 1, pp. 28-40, May 2003. |
| [J7] | Missier, P., Lalk, G., Verykios, V.S., Grillo, F., Lorusso, T. and Angeletti, P. Improving Data Quality in Practice: A Case Study in the Italian Public Administration. Distributed and Parallel Databases Journal, vol. 13, no. 2, pp. 135-160, March 2003. |
| [J6] | Houstis, E.N., Rice, J.R., Catlin, A.C., Dhanjani, N., Ramakrishnan, N. and Verykios, V.S. MyPYTHIA: A Recommendation Portal for Scientific Software and Services. Concurrency and Computation: Practice and Experience Journal, vol. 14, issue 13-15, pp. 1481-1505, November-December 2002. |
| [J5] | Saygin, Y., Verykios, V.S. and Clifton, C.W. Using Unknowns to Prevent Discovery of Association Rules. SIGMOD Record, vol. 30, no. 4, pp. 45-54, December 2001. |
| [J4] | Verykios, V.S., Houstis, E.N., Tsoukala, L.H. and Pantazopoulos, K.N. Automating the Analysis of Option Pricing Algorithms through Intelligent Knowledge Acquisition Approaches. IEEE Transactions on Systems, Man and Cybernetics. Part A, vol. 31, issue 6, pp. 573-586, November 2001. |
| [J3] | Verykios, V.S., Elmagarmid, A.K. and Houstis, E.N. Automating the Approximate Record Matching Process. Journal of Information Sciences, vol. 126, issue 1-4, pp. 83-98, July 2000. |
| [J2] | Verykios, V.S., Houstis, E.N. and Rice, J.R. A Knowledge Discovery Methodology for the Performance Evaluation of Scientific Software. Journal of Neural, Parallel & Scientific Computations, vol. 8, no. 2, pp. 115-132, June 2000. |
| [J1] | Houstis, E.N., Catlin, A.C., Rice, J.R., Verykios, V.S., Ramakrishnan, N. and Houstis, C.E. PYTHIA-II: A Knowledge/Database System for Managing Performance Data and Recommending Scientific Software. ACM Transactions on Mathematical Software, vol. 26, no. 2, pp. 227-253, June 2000. |
