Επιστημονικά Περιοδικά

• V. Manavopoulos, F. Mendez, C. Djouvas, “Mapping Voters’ Engagement with Political Information Sites: The Case of Voting Advice Applications”, European Consortium for Political Research, 2020
• N. Tsapatsoulis, and C. Djouvas, “Opinion mining from social media short texts: Does collective intelligence beat deep learning?”, Frontiers Robotics AI, vol. 6, article 138, 2019
• V. Triga, F. Mendez, and C. Djouvas, “Post-crisis Political Normalisation? The 2018 Presidential Elections in the Republic of Cyprus”, South European Society and Politics, 24:1, 103 – 127, DOI: 10.1080/13608746.2018.1511347
• C. Djouvas, F. Mendez, and N. Tsapatsoulis, “Mining online political opinion surveys for suspect entries: An interdisciplinary comparison,” Journal of Innovation in Digital Ecosystems, vol. 3, no. 2, pp. 172-182,  2016.
• N. Tsapatsoulis, M. Agathokleous, C. Djouvas, and F. Mendez, “On the design of Social Voting Recommendation Applications”, International Journal on Artificial Intelligence Tools, vol. 24, no. 03, pp. 1550009, 2015.
• Katakis, N. Tsapatsoulis, F. Mendez, V. Triga, and C. Djouvas, “Social voting advice applications-definitions, challenges, datasets and evaluation,” IEEE transactions on cybernetics, vol. 44, no. 7, pp. 1039-1052, 2013.
• L. Lambrinos and C. Djouvas, “Improving quality of experience in wireless voip through novel call scheduling,” Telecommunication Systems, vol. 52, no. 4, pp. 1905-1916, 2013.
• C. Djouvas, N. D. Griffeth, and N. A. Lynch, “Testing self-similar networks,” Electronic Notes in Theoretical Computer Science, vol. 164, no. 4, pp. 67-82, 2006.

Κεφάλαια Βιβλίων

• C. Djouvas, and K. Gemenis, "Pattern-based rogue identification," in Voting Advice Applications in Modern Political Campaigns and Elections (Under Review).
• M. Agathokleous, and C. Djouvas, "Design and employment issues of Social Voting Recommendation," in Voting Advice Applications in Modern Political Campaigns and Elections (Under Review).
• C. Chrysostomou, C. Djouvas, and L. Lambrinos, “Fuzzy logic-based adaptive decision support in autonomous vehicular networks,” in Computational Intelligence for Decision Support in Cyber-Physical Systems, pp. 215-236, Springer, 2014.
• L. Lambrinos and C. Djouvas, “Using location information for sophisticated emergency call management,” in Wireless Mobile Communication and Healthcare, pp. 227-232, Springer, 2011.

Συνέδρια

• K. Gemenis, and C. Djouvas, “SmartCoding: An Online Platform for Estimating Political Parties' Policy Positions”, 4th International Workshop On Semantic And Social Media Adaptation And Personalization (SMAP 2019), Larnaca, Cyprus, Juny 2019
• D. Milioni, L. Kollyri, and C. Djouvas, "Algorithmic profiling and news personalization", Amsterdam Privacy Conference (APC 2018), Amsterdam, Netherlands, October 2018.
• C. Djouvas, A. Antoniou, and N. Tsapatsoulis, "Improving Social Vote Recommendation in VAAs: The effects of political profile augmentation and classification method", Proceedings of the 13th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP 2018), pp. 1-6, Zaragoza, Spain, September 2018.
• Founta, C. Djouvas, D. Chatzakou, I. Leontiadis, J. Blackburn, G. Stringhini, A. Vakali, M. Sirivianos and N. Kourtellis, “Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior”. International AAAI Conference on Web and Social Media (ICWSM), 2018.
• Djouvas, "Different Technologies, same Assumptions? Comparing the Response Behaviour (and Political Stance) of Mobile versus Desktop VAA users", in the Proceedings of the 11th European Consortium of Political Research (ECPR 2017), Olso, Norway, September 2017.
• M. Agathokleous, N Tsapatsoulis, and C. Djouvas, “Estimating Party-user Similarity in Voting Advice Applications using Hidden Markov Models.” in the Proceedings of the Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2016), Boston, MA, USA, September 16, 2016.
• C. Djouvas, and K Gemenis, “SmartCoding: A web-based system for estimating parties policy positions” in WEBDATANET Conference, Salamanca, Spain, 2015.
• F. Mendez, K. Gemenis, and C. Djouvas, “Pattern-based rogue identification,” in WEBDATANET Conference, Salamanca, Spain, 2015.
• C. Djouvas, and N. Tsapatsoulis, “A view behind the scene: Data structures and software architecture of a vaa,” in Semantic and Social Media Adaptation and Personalization (SMAP), 2014 9th International Workshop on, pp. 136-141, IEEE, 2014.
• F. Mendez, K. Gemenis, and C. Djouvas, “Methodological challenges in the analysis of voting advice application generated data,” in Semantic and Social Media Adaptation and Personalization (SMAP), 2014 9th International Workshop on, pp. 142-148, IEEE, 2014.
• C. Djouvas, K. Gemenis, and F. Mendez, “Weeding out the rogues: How to identify them and why it matters for vaa-generated datasets,” in European Consortium for Political Research General Conference, 2014.
• C. Chrysostomou, C. Djouvas, and L. Lambrinos, “Contention window adaptation for broadcast beaconing in vehicular ad hoc networks,” in Wireless Communications and Mobile Computing Conference (IWCMC), 2014 International, pp. 1039-1044, IEEE, 2014.
• L. Lambrinos, C. Djouvas, and C. Chrysostomou, “Applying delay tolerant networking routing algorithms in maritime communications,” in World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2013 IEEE 14th International Symposium and Workshops on a, pp. 1-6, IEEE, 2013.
• L. Lambrinos, P. Kolios, and C. Djouvas, “Dimensioning voip capacity in maritime networks,” in Communications (ICC), 2013 IEEE International Conference on, pp. 2486-2490, IEEE, 2013.
• C. Chrysostomou, C. Djouvas, and L. Lambrinos, “Dynamically adjusting the min-max contention window for providing quality of service in vehicular networks,” in Ad Hoc Networking Workshop (Med-Hoc-Net), 2012 The 11th Annual Mediterranean, pp. 16-23, IEEE, 2012.
• Katakis, N. Tsapatsoulis, V. Triga, C. Tziouvas, and F. Mendez, “Clustering online poll data: Towards a voting assistance system,” in Semantic and Social Media Adaptation and Personalization (SMAP), 2012 Seventh International Workshop on, pp. 54-59, IEEE, 2012.
• C. Chrysostomou, C. Djouvas, and L. Lambrinos, “Applying adaptive qos-aware medium access control in priority-based vehicular ad hoc networks,” in Computers and Communications (ISCC), 2011 IEEE Symposium on, pp. 741-747, IEEE, 2011.
• L. Lambrinos and C. Djouvas, “Creating a maritime wireless mesh infrastructure for real-time applications,” in GLOBECOM Workshops, 2011 IEEE, pp. 529-532, IEEE, 2011.
• C. Tziouvas, L. Lambrinos, and C. Chrysostomou, “A delay tolerant platform for voice message delivery,” in Wireless Personal Multimedia Communications (WPMC), 2011 14th International Symposium on, pp. 1-5, IEEE, 2011.
• C. Chrysostomou, L. Lambrinos, and C. Djouvas, “The need for a system design methodology to address challenges in wireless access in vehicular ad hoc networks,” in Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2010 International Congress on, pp. 1226-1231, IEEE, 2010.
• L. Lambrinos and C. Djouvas, “Applying scheduling policies to improve qos in wireless voice-over-ip,” in Performance Computing and Communications Conference (IPCCC), 2009 IEEE 28th International, pp. 366-370, IEEE, 2009.
• N. Griffeth, Y. Cantor, and C. Djouvas, “Testing a network by inferring representative state machines from network traces,” in Software Engineering Advances, International Conference on, pp. 31-31, IEEE, 2006.
• C. Djouvas and N. Griffeth, “Experimental method for testing networks,” Proceedings of SERP05-The 2005 International Conference on Software Engineering Research and Practice, 2005.
• G. Hadjipollas, C. Chrysostomou, C. Djouvas, and A. Pitsillides, “Integrated Dynamic Congestion Control with Resource Management in a Differentiated Services Environment,” ACMSAC, 2004.

Τεχνική αναφορά

• C. Djouvas, N. Griffeth, and N. Lynch, “Using self-similarity for efficient network testing,” Technical report, Lehman College, 2005.

Software

• Constantinos Djouvas, & Fernando Mendez. (2018, October 16). Balancing algorithm (Version 0.1). Zenodo. http://doi.org/10.5281/zenodo.1464104

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