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2. K. Kolomvatsos, C. Anagnostopoulos, S. Hadjiefthymiades, ‘Distributed Localized Contextual Event Reasoning under Uncertainty’, accepted for publication in IEEE Internet of Things Journal, 2017
3. Md Fasiul Alam, Stathes Hadjiefthymiades, Advanced, Hardware Supported In-Network Processing for the Internet of Things, to be presented in ICC 2017 (2nd international conference on Internet of things, Data and cloud computing), March 2017, Cambridge UK.
4. Papadopoulou, P., Kolomvatsos, K, Panagidi, K. and Hadjiefthymiades, E. (2017). Internet of Things Applications and Services: The Case of RAWFIE project. 11th Mediterranean Conference on Information Systems (MCIS), 4-5 September 2017, Genova, Italy.
5. Amina Mollaysa, Pablo Strasser, Alexandros Kalousis: Regularising Non-linear Models Using Feature Side-information. Proceedings of the 34th International Conference on Machine Learning, ICML, 2017, Sydney, 2508-251
6. Magda Gregorova, Alexandros Kalousis, Stephane Marchand-Maillet: Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks. Proceedings of the 9th Asian Conference on Machine Learning, {ACML} 2017, Seoul, South Corea.
7. A. Ch. Kapoutsis, Ch. M. Malliou, S. A. Chatzichristofis, E. B. Kosmatopoulos, “Continuously Informed Heuristic A*–Optimal Path Retrieval Inside an Unknown Environment”, «15th IEEE International Symposium on Safety, Security, and Rescue Robotics 2017 (SSRR 2017)», October 10-13 2017, Shanghai, China.
8. Blondé Lionel and Alexandros Kalousis. "Sample-Efficient Imitation Learning via Generative Adversarial Nets.” AISTATS 2019
9. Amina Mollaysa, Pablo Strasser, Alexandros Kalousis, Learning with Feature Side-information, Workshop on Learning in High Dimensions with Structure in the context of Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 7-12, 2016, Barcelona, Spain
10. Magda Gregorova, Stephane Marchand-Maillet, Alexandros Kalousis, Forecasting and Granger modelling with non-linear dynamical dependencies, under review in 20th International Conference on Artificial Intelligence and Statistics, AI STATS, 2017, Fort Lauderdale, Florida, USA.
11. Md Fasiul Alam, Serafeim Katsikas, Olga Beltramello, and Stathes Hadjiefthymiades, "Augmented and Virtual Reality Based Monitoring and
Safety System: A Prototype IoT Platform", Journal of Network and Computer Applications (JNCA), Elsevier, 2017.
12. K. Kolomvatsos, M. Tsiroukis, and S. Hadjiefthymiades, "An Experiment Description Language for Supporting Mobile IoT Applications", 2016 FIRE Book, European Commission, River Publishers, November, 2017.
13. Athanasios Kapoutsis, Savvas Chatzichristofis, and Elias Kosmatopoulos, “DARP: Divide Areas Algorithm for Optimal Multi-Robot Coverage Path Planning”,
Journal of Intelligent & Robotic Systems, Springer, June 2017.
14. Magda Gregorova, Alexandros Kalousis, Stephane Marchand-Maillet: Forecasting and Granger Modelling with Non-linear Dynamical Dependencies. Machine Learning and Knowledge Discovery in Databases - European Conference, CML/PKDD, 2017, Skopjie, Macedonia.
15. Panagiota Papadopoulou, Kostas Kolomvatsos, K. Panagidi., Stathes Hadjiefthymiades, "Investigating The Business Potential Of Internet Of Things", In: Mediterranean Conference on Information Systems (MCIS 2017), Genoa, Italy, 04-06 Sep 2017, p. 33.
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18. “Analysis of Hybrid Geographic /Delay-Tolerant Routing Protocols for Wireless Mobile Networks “, Infocom 2018, Honolulu, Hawaii, USA
19. “Asymptotics of the Packet Speed and Cost in a Mobile Wireless Network Model”, IEEE ISIT 2018,Vail, Colorado, USA
20. “Analysis of a One-Dimensional Continuous Delay-Tolerant Network Model”, IEEE SPAWC 2018, Kalamata, Greece
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