Chounta, I.-A., Ortega-Arranz, A., Daskalaki, S., Dimitriadis, Y., & Avouris, N. (2024). Toward a data-informed framework for the assessment of digital readiness of higher education institutions. International Journal of Educational Technology in Higher Education, 21(1), 59. Cite Download

Andreopoulou, O., Kostopoulou, E., Kotanidou, E., Daskalaki, S., Vakka, A., Galli-Tsinopoulou, A., & Spiliotis, B. E. (2024). Evaluation of the possible impact of the fear of hypoglycemia on diabetes management in children and adolescents with type 1 diabetes mellitus and their parents: a cross-sectional study. Hormones, 23(3), 419–428. Cite Download

Kostopoulou, E., Andreopoulou, O., Daskalaki, S., Kotanidou, E., Vakka, A., Galli-Tsinopoulou, A., Spiliotis, B. E., Gonder-Frederick, L., & Fouzas, S. (2023). Translation and Validation Study of the Hypoglycemia Fear Survey in a Greek Population of Children and Adolescents with Type 1 Diabetes Mellitus and their Parents. Children, 10(9), 1458. https://doi.org/10.3390/children10091458 Cite Download

Tsimpanis, K., Avouris, N., Chounta, I.-A., Daskalaki, S., Dimitriadis, Y., Gari, C. M., Kalouptsoglou, A., Ortega-Arranz, A., & Balaouras, P. (2023). Implementing a data-driven framework for measuring digital readiness across European universities. Proceedings of European University, 95, 129–139. Cite Download

Tsimpanis, K., Avouris, N., Chounta, I.-A., Daskalaki, S., Dimitriadis, Y., Gari, C. M., Ortega-Arranz, A., & Balaouras, P. (2023). Implementing a data-driven framework for measuring digital readiness across European universities. Cite Download

Ntourmas, A., Dimitriadis, Y., Daskalaki, S., & Avouris, N. (2022). Assessing Learner Facilitation in MOOC Forums: A Mixed-Methods Evaluation Study. IEEE Transactions on Learning Technologies, 1–1. https://doi.org/10.1109/TLT.2022.3166389 Cite

Gari, C. M., Chounta, I.-A., Avouris, N., Daskalaki, S., Dimitriadis, Y., Dorner, H., Martínez-Mones, A., Ntourmas, A., Ortega-Arranz, A., Tsimpanis, K., & Yiannoutsou, N. (2022). Towards a Data-driven Framework for the Assessment of Digital Readiness in Higher Education Institutions. EDEN 2022 Annual Conference, Tallinn. Cite

Ntourmas, A., Dimitriadis, Y., Daskalaki, S., & Avouris, N. (2021). Classification of Discussions in MOOC Forums: an Incremental Modeling Approach. Eighth ACM Conference on Learning@ Scale, 183–194. https://doi.org/https://doi.org/10.1145/3430895.3460137 Cite

Ntourmas, A., Avouris, N., Daskalaki, S., & Dimitriadis, Y. (2021, August 30). Exploring the “distance” between MOOCs: A comparative study on forum discussion topics. 21th IEEE International Conference on Advanced Learning Technologies. ICALT 2021. Cite

Skokou, M., Asimakopoulou, R., Andreopoulou, O., Kolettis, G., Perrou, S., Gourzis, P., & Daskalaki, S. (2021). Reliability, validity and psychometric properties of the Greek version of the Altman self rating mania scale. Comprehensive Psychiatry, 109, 152243. https://doi.org/10.1016/j.comppsych.2021.152243 Cite

Andriopoulos, N., Magklaras, A., Birbas, A., Papalexopoulos, A., Valouxis, C., Daskalaki, S., Birbas, M., Housos, E., & Papaioannou, G. P. (2021). Short Term Electric Load Forecasting Based on Data Transformation and Statistical Machine Learning. Applied Sciences, 11(1), 158. https://doi.org/10.3390/app11010158 Cite Download

Ntourmas, A., Daskalaki, S., Dimitriadis, Y., & Avouris, N. (2021). Classifying MOOC forum posts using corpora semantic similarities: a study on transferability across different courses. Neural Computing and Applications, 1–15. https://doi.org/10/gjq3b9 Cite

Ntourmas, A., Avouris, N., Daskalaki, S., & Dimitriadis, Y. (2019). Teaching Assistants in MOOCs forums: Omnipresent Interlocutors or Knowledge Facilitators. 14th European Conference on Technology Enhanced Learning, 236–250. Cite

Ntourmas, A., Avouris, N., Daskalaki, S., & Dimitriadis, Y. (2019, September). Evaluation of a Massive Online Course forum: design issues and their impact on learners' support. 17th IFIP TC.13 International Conference on Human-Computer Interaction. INTERACT 2019, Paphos, Cyprus. Cite

Ntourmas, A., Avouris, N., Daskalaki, S., & Dimitriadis, Y. (2019, July). Comparative study of two different MOOC forums posts classifiers: analysis and generalizability issues. 10th International Conference on Information, Intelligence, Systems and Applications. IISA 2019, Patras, Greece. Cite

Katris, C., & Daskalaki, S. (2019). Dynamic Bandwidth Allocation for Video Traffic Using FARIMA-Based Forecasting Models. Journal of Network and Systems Management, 27(1), 39–65. Cite Download

Ntourmas, A., Avouris, N., Daskalaki, S., & Dimitriadis, Y. (2019). Evaluation of a Massive Online Course Forum: Design Issues and Their Impact on Learners’ Support. In D. Lamas, F. Loizides, L. Nacke, H. Petrie, M. Winckler, & P. Zaphiris (Eds.), Human-Computer Interaction – INTERACT 2019 (pp. 197–206). Springer International Publishing. https://doi.org/10/gjx5jt Cite Download

Ntourmas, A., Avouris, N., Daskalaki, S., & Dimitriadis, Y. (2018). Teaching Assistants' Interventions in Online Courses: A Comparative Study of Two Massive Open Online Courses. 22nd Pan-Hellenic Conference on Informatics, 288–293. https://doi.org/10.1145/3291533.3291563 Cite

Ntourmas, A., Avouris, N., Daskalaki, S., & Dimitriadis, Y. (2018). Comparative study of MOOC forums: Does course subject matter? 11th Pan-Hellenic and International Conference "ICT in Education," 8. Cite

Katris, C., & Daskalaki, S. (2017). Generation of synthetic video traffic using time series. Simulation Modelling Practice and Theory, 75, 127–145. https://doi.org/10.1016/j.simpat.2017.04.005 Cite

Daskalaki, S., Kopanas, I., & Avouris, N. M. (2008). Predictive Classification with Imbalanced Enterprise Data. Cite

Daskalaki, S., Kopanas, I., & Avouris, N. (2006). Evaluation of Classifiers for an Uneven Class Distribution Problem. Applied Artificial Intelligence, 20(5), 381–417. https://doi.org/10/dt7kdp Cite

Daskalaki, S., Kopanas, I., & Avouris, N. (2004, May). Machine Learning Techniques for prediction of rare events in a business environment. Proceedings 3rd Hellenic Conference on Artificial Intelligence, SETN 2004. Proceedings 3rd Hellenic Conference on Artificial Intelligence, SETN 2004, Samos, Greece. Cite

Koutri, M., Avouris, N., & Daskalaki, S. (2004). A survey on web usage mining techniques for web-based adaptive hypermedia systems. In Chapter 7 in S. Y. Chen and G. D. Magoulas (ed), Adaptable and Adaptive Hypermedia Systems (pp. 125–149). IRM Press. Cite

Daskalaki, S., Kopanas, I., Goudara, M., & Avouris, N. (2003). Data mining for decision support on customer insolvency in telecommunications business. European Journal of Operational Research, 145(2), 239–255. https://doi.org/10/bvt6th Cite

Avouris, N., Koutri, M., & Daskalaki, S. (2003). Web site adaptation: a model-based approach, in C. Stephanidis and J. Jacko (ed.). Human-Computer Interaction, Proc. HCII 2003, 350–354. Cite

Koutri, M., Daskalaki, S., & Avouris, N. (2002). Adaptive Interaction with Web Sites: an Overview of Methods and Techniques. Proc. CSIT 2002, 6. Cite

Kopanas, I., Avouris, N. M., & Daskalaki, S. (2002). The Role of Domain Knowledge in a Large Scale Data Mining Project. In I. P. Vlahavas & C. D. Spyropoulos (Eds.), Methods and Applications of Artificial Intelligence (pp. 288–299). Springer Berlin Heidelberg. Cite

Daskalaki, S., Goudara, M., Kopanas, I., & Avouris, N. (2001, September). Statistical and Data Mining Techniques for Predicting Customer Insolvency. HERCMA, The 5th Hellenic European Conference on Computer Mathematics & Its Applications. HERCMA, The 5th Hellenic European Conference on Computer Mathematics & its Applications, Athens, Greece. Cite

Daskalaki, S., Goudara, M., Kopanas, I., & Avouris, N. (2001, July). Data Mining for Fraud Detection in Telecommunications. EURO 2001, The European Operational Research Conference. EURO 2001, The European Operational Research Conference, Rotterdam, The Netherlands. Cite

Avouris, N., Daskalaki, S., Kopanas, I., & Goudara, M. (2001, February). Application of Machine Learning techniques for Fraud Detection by a Telecommunications Operator. AINET Workshop on Machine Learning and Data Mining for Scientific and Business Applications, AUEB. AINET Workshop on Machine Learning and Data Mining for Scientific and Business Applications, AUEB, Athens, Greece. Cite

Tselios, N., Avouris, N., Dimitracopoulou, A., & Daskalaki, S. (2001). Evaluation of Distance-learning Environments: Impact of Usability on Student Performance. International Journal of Educational Telecommunications, vol 7(4), 355–378. Cite

Tsimpanis, K., Avouris, N., Chounta, I.-A., Daskalaki, S., Dimitriadis, Y., Gari, C. M., Ortega-Arranz, A., & Balaouras, P. (n.d.). Implementing a data-driven framework for measuring digital readiness across European universities. Cite Download