Publications 2020-04-24T07:38:19+00:00

Recent Publications

Sentiment Analysis & Deep Learning

  • P. Agathangelou, I. Katakis, “A Hybrid Deep Learning Network for Modelling Opinionated Content”, the 34th ACM/SIGAPP Symposium On Applied Computing (ACM SAC 2018), Technical Track: Knowledge and Language Processing, Limassol, Cyprus, April 8-12, 2019.

  • P. Agathangelou, I. Katakis, I. Koutoulakis, F. Kokkoras, D. Gunopulos, Learning Patterns for Discovering Domain Oriented Opinion Words. Knowledge and Information Systems, Springer, 2017. (KAIS 2017)

Smart Cities

  • A. Gal, D. Gunopulos, V. Kalogeraki, I. Katakis, N. Panagiotou, N. Rivetti and A. Senderovich, “REMI, Reusable Elements for Multi-Level Information Availability“, in the proceedings of the 11th ACM International Conference on Distributed and Event-Based Systems, June 19-23, 2017, Barcelona, Spain (DEBS 2017)

  • Nikolaos Panagiotou, Nikolas Zygouras, Ioannis Katakis, Dimitrios Gunopulos, Nikos Zacheilas, Ioannis Boutsis, Vana Kalogeraki, Stephen Lynch, Brendan O’Brien: Intelligent Urban Data Monitoring for Smart Cities. ECML/PKDD (3) 2016: 177-192

Mining Social Networks

  • A. Saravanou, I. Katakis, G. Valkanas, V. Kalogeraki, D. Gunopulos, “Detection and Delineation of Events and Sub-Events in Social Networks”, 34th International Conference on Data Engineering, Paris France, April 16th-19th, 2018 (ICDE 2018).

  • A. Saravanou, I. Katakis, G. Valkanas, V. Kalogeraki, D. Gunopulos, Revealing the Hidden Links in Content Networks: An Application to Event Discovery,  International Conference on Information and Knowledge Management, 6-10 Nov 2017,  Singapore, CIKM 2017.

  • I. Litou, V. Kalogeraki, I. Katakis, D. Gunopulos,Efficient and Timely Misinformation Blocking under varying Cost Constraints, Online Social Networks and Media, Elsevier, 2017.

  • Alexandros Theodotou, Athena Stassopoulou: A System for Automatic Classification of Twitter Messages into Categories. CONTEXT 2015: 532-537

Computational Social Science

  • J. Otterbacher, I. Katakis, P. Agathangelou, “Linguistic Bias in Crowdsourced Biographies: A Cross-lingual Examination”, in Automatic Text Extraction, Natalia Vanetik and Marina Litvak (Editors), World Scientific, 2018
  • P. Agathangelou, I. Katakis, L. Rori, D. Gunopulos and B. Richards, “Understanding Online Political Networks: The case of the far-right and far-left in Greece,  in the proceedings of the 9th International Conference on Social Informatics, Oxford, UK, 13-15 September 2017. SocInfo 2017

Machine Learning & Artificial Intelligence

  • Hanna Sababa and Athena Stassopoulou, “A Classifier to Distinguish Between Cypriot Greek and Standard Modern Greek“, Proceedings of the Fifth International Conference on Social Networks Analysis, Management and Security (SNAMS) 2018, Valencia, pp. 251-255.

  • Y. Papanikolaou, G. Tsoumakas, I. Katakis, “Hierarchical Partitioning of the Output Space in Multi-label Data”, Data and Knowledge Engineering, Elsevier, 2018

AI in Medicine

  • Kalia Orphanou, Athena Stassopoulou, Elpida T. Keravnou: DBN-Extended: A Dynamic Bayesian Network Model Extended With Temporal Abstractions for Coronary Heart Disease Prognosis. IEEE J. Biomedical and Health Informatics 20(3): 944-952 (2016)

  • Kalia Orphanou, Arianna Dagliati, Lucia Sacchi, Athena Stassopoulou, Elpida Keravnou, Riccardo Bellazzi: Combining Naive Bayes Classifiers with Temporal Association Rules for Coronary Heart Disease Diagnosis. ICHI 2016: 81-92

  • Kalia Orphanou, Athena Stassopoulou, Elpida Keravnou: Risk Assessment for Primary Coronary Heart Disease Event Using Dynamic Bayesian Networks. AIME 2015: 161-165

  • Kalia Orphanou, Athena Stassopoulou, Elpida Keravnou: Temporal abstraction and temporal Bayesian networks in clinical domains: A survey. Artificial Intelligence in Medicine 60(3): 133-149 (2014)

  • Kalia Orphanou, Athena Stassopoulou, Elpida Keravnou: Integration of Temporal abstraction and Dynamic Bayesian Networks for Coronary Heart Diagnosis. STAIRS 2014: 201-210

Big Data Analytics & Data Management

  • P. Agathangelou, D. Trihinas,  I. Katakis, A Multi-Factor Analysis of Forecasting Methods: A Study on the M4 Competition. Data 2020, 5, 41. [link]

  • D. Trihinas, M. Symeonides, “A Study on Speculative Task Scheduling for Apache Spark in Fog Computing Realms”, In 23rd Pan-Hellenic Conference on Informatics (PCI ’19), November 28–30, 2019, Nicosia, Cyprus. ACM, New York, NY, USA, 7 pages.

  • D. Trihinas, “Datachain: A Query Framework for Blockchains.”, In Proceedings of the 11th International Conference on Management of Digital EcoSystems (ACM MEDES 2019), Nov, 2019.

  • P. Agathangelou, D. Trihinas, I. Katakis, “Correlation Analysis of Forecasting Methods: The Case of the M4 Competition“, International Journal of Forecasting (IJF), Special Issue Dedicated to the results of the M4 Competition, Elsevier, 2019.

  • M. Symeonides, D. Trihinas, Z. Georgiou, G. Pallis, M. Dikaiakos, “Query-Driven Descriptive Analytics for IoT and Edge Computing“, in the proceedings of the 2019 IEEE International Conference on Cloud Engineering (IC2E 2019), Prague, Czech Republic, Jun, 2019.

  • D. Trihinas, A. Tryfonos, M. Dikaiakos, “[Tutorial] Designing Scalable and Secure Microservices by Embracing DevOps-as-a-Service Offerings“, 2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), Nicosia, Cyprus, Dec, 2018.