Publications

International Journals

  1. Soula, M., Karanika, A., Kolomvatsos, K., Anagnostopoulos, C., Stamoulis, G., ‘Intelligent Tasks Allocation at the Edge based on Machine Learning and Bio-Inspired Algorithms’, accepted in Evolving Systems, Springer, 2021.
  2. Kolomvatsos, K., Kalouda, M., Papadopoulou, P., Hadjiefthymiades, S., ‘Fuzzy Trust Modeling for Pervasive Computing Applications’, accepted in Journal of Data Intelligence, 2021.
  3. Kolomvatsos, K., ‘Data-driven Type-2 Fuzzy Sets for Tasks Management at the Edge’, IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2021.
  4. Oikonomou, P., Karanika, A., Anagnostopoulos, C., Kolomvatsos, K., ‘On the Use of Intelligent Models towards Meeting the Challenges of the Edge Mesh’, ACM Computing Surveys, 2021.
  5. Kolomvatsos, K., Anagnostopoulos, C., ‘Proactive, Uncertainty-Driven Queries Management at the Edge’, accepted for publication, Future Generation Computer Systems (FGCS), Elsevier, 2021.
  6. Kolomvatsos, K., ”Proactive Tasks Management for Pervasive Computing Applications’, Journal of Network and Computer Applications (JNCA), Elsevier, 2021.
  7. Kolomvatsos, K., Anagnostopoulos, C., ‘A Deep Learning Model for Demand-driven, Proactive Tasks Management in Pervasive Computing’, IoT, MDPI, 2020.
  8. Kolomvatsos, K., Anagnostopoulos, C., Koziri, M., Loukopoulos, T., ‘Proactive & Time-Optimized Data Synopsis Management at the Edge’, accepted in IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2020.
  9. Kolomvatsos, K., Anagnostopoulos, C., ‘An Intelligent Edge-Centric Queries Allocation Scheme based on Ensemble Models’, accepted in ACM Transactions on Internet Technology (TOIT), 2020.
  10. Savva, F., Anagnostopoulos, C., Triantafillou, P., Kolomvatsos, K., ‘Large-scale Data Exploration using Explanatory Regression Functions’, accepted for publication in ACM Transactions on Knowledge Discovery from Data, 2020.
  11. Yiannis Kathidjiotis, Kostas Kolomvatsos, Christos Anagnostopoulos, ‘Predictive Intelligence of Reliable Analytics in Distributed Computing Environments’, accepted in Springer Applied Intelligence, 2020.
  12. K. Kolomvatsos, C. Anagnostopoulos, ‘A Probabilistic Model for Assigning Queries at the Edge’, Computing, Springer, https://doi.org/10.1007/s00607-019-00767-8, 2020.
  13. Christos Anagnostopoulos, Kostas Kolomvatsos, ‘An Intelligent, Time-Optimized Monitoring Scheme for Edge Nodes’, Elsevier Journal of Network and Computer Applications, vol. 148, 2019.
  14. K. Kolomvatsos, ‘An Efficient Scheme for Applying Software Updates in Pervasive Computing Applications’, Journal of Parallel and Distributed Computing, Elsevier, vol. 128, 2019, pp. 1-14.
  15. P. Oikonomou, A. Dadaliaris, K. Kolomvatsos, T. Loukopoulos, A. Kakarountas, G. Stamoulis, ‘Improved Parallel Legalization Schemes for Standard Cell Placement with Obstacles’, Technologies, MPDI, vol. 7(3), 2019.
  16. K. Kolomvatsos, ‘A Distributed, Proactive Intelligent Scheme for Securing Quality in Large Scale Data Processing’, Springer Computing, 2019, pp. 1-24, https://doi.org/10.1007/s00607-018-0683-9.
  17. K. Kolomvatsos, C. Anagnostopoulos, ‘Multi-criteria Optimal Task Allocation at the Edge’, Elsevier Future Generation Computer Systems, vol. 93, 2019, pp. 358-372.
  18. K. Kolomvatsos, ‘Time-Optimized Management of Mobile IoT Nodes for Pervasive Applications’, Journal of Networking and Computer Applications, Elsevier, vol. 125, 2019, pp. 155–167.
  19. K. Kolomvatsos, ‘An Intelligent, Uncertainty Driven Management Scheme for Software Updates in Pervasive IoT Applications’, Elsevier Future Generation Computer Systems, vol. 83, 2018, pp. 116-131.
  20. K. Kolomvatsos, ‘An Intelligent Scheme for Assigning Queries’, Springer Applied Intelligence, doi https://doi.org/10.1007/s10489-017-1099-5, 2017.
  21. K. Kolomvatsos, ‘Time-Optimized Management of IoT Nodes’, Elsevier Ad Hoc Networks, vol. 69, 2018, pp. 1-14.
  22. Christos Anagnostopoulos, Kostas Kolomvatsos, ‘Predictive Intelligence to the Edge through Approximate Collaborative Context Reasoning’, Springer Applied Intelligence, vol. 48(4), 2018, pp. 966-991.
  23. K. Kolomvatsos, C. Anagnostopoulos, ‘Reinforcement Machine Learning for Predictive Analytics in Smart Cities’, Informatics, MDPI, 4, 16, 2017.
  24. Anagnostopoulos, T., Kolomvatsos, K., Medvedev, A., Amirian, P., Morley, J., Hadjieftymiades, S., Zaslavsky, A., Challenges and Opportunities of Waste Management in IoT-enabled Smart Cities: A Survey’, IEEE Transactions on Sustainable Computing, 2017.
  25. K. Kolomvatsos, S. Hadjiefthymiades, ‘Predictive Intelligence in Analytics Aggregation of Partially Ordered Subsets’, accepted for publication in IEEE Transactions on Systems, Man and Cybernetics: Systems, 2017.
  26. K. Kolomvatsos, C. Anagnostopoulos, S. Hadjiefthymiades, ‘Distributed Localized Contextual Event Reasoning under Uncertainty’, IEEE Internet of Things Journal, vol. 4(1), 2017, pp. 183-191.
  27. K. Kolomvatsos, S. Hadjiefthymiades, ‘Learning the Engagement of Query Processors for Intelligent Analytics’, Springer Applied Intelligence Journal, vol. 46(1), 96-112, 2017.
  28. K. Kolomvatsos, K. Panagidi, I. Neokosmidis, D. Varoutas, S Hadjiefthymiades,’ Automated Concurrent Negotiations: An Artificial Bee Colony Approach’, Elsevier Electronic Research and Applications (ECRA), vol. 19, 2016, pp. 56-69.
  29. Jankowski, J., Goode, S., Kolomvatsos, K., Kazienko, P., Watrobski, J., ‘Fuzzy Modeling of User Behaviours and Virtual Goods Purchases in Social Networking Platforms’, Special Issue on Analyzing and Mining Social Networks for Decision Support, Journal of Universal Computer Science, vol. 22(3), pp. 416-437, 2016.
  30. K. Kolomvatsos, C. Anagnostopoulos, S. Hadjiefthymiades, ‘Data Fusion & Type-2 Fuzzy Inference in Contextual Data Stream Monitoring’, IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. PP, Issue 99, pp.1-15, 2016.
  31. K. Kolomvatsos, ‘An Intelligent, Uncertainty Driven Aggregation Scheme for Streams of Ordered Sets’, Springer Applied Intelligence (APIN), doi 10.1007/s10489-016-0789-8, pp. 1-23, 2016.
  32. C. Anagnostopoulos, K. Kolomvatsos, ‘A Delay-Resilient and Quality-aware Mechanism over Incomplete Contextual Data Streams’, Elsevier Information Sciences Journal (INS), vol. 355-356, pp. 90-109, 2016.
  33. C. Anagnostopoulos, S. Hadjiefthymiades, K. Kolomvatsos, ‘Accurate, Dynamic & Distributed Localization of Phenomena for Mobile Sensor Networks’, ACM Transactions on Sensor Networks (TOSN), vol. 12(2), art. No 9, 2016.
  34. K. Kolomvatsos, ‘Effective Problem Solving through Fuzzy Logic Knowledge Bases Aggregation’, Soft Computing Journal, Springer, vol. 20(3), 2016, pp. 1071-1092.
  35. K. Kolomvatsos, C. Anagnostopoulos, S. Hadjiefthymiades, ‘Contextual Reasoning under Uncertainty in Sensor Data Stream Monitoring’, International Journal of Monitoring and Surveillance Technologies Research, vol. 3(2), pp. 1-19, 2015.
  36. T. Anagnostopoulos, K. Kolomvatsos, C. Anagnostopoulos, A. Zaslavsky, S. Hadjiefthymiades, ‘Assessing Dynamic Models for High Priority Waste Collection in Smart Cities’, Elsevier Journal of Systems and Software, vol. 110, 2015, pp. 178-192.
  37. K. Kolomvatsos, C. Anagnostopoulos and S. Hadjiefthymiades, ‘A Time Optimized Scheme for Top-k List Maintenance over Incomplete Data Streams’, Elsevier Information Sciences (INS), vol. 311, pp. 59-73 2015.
  38. C. Anagnostopoulos, S. Hadjiefthymiades and K. Kolomvatsos, ‘Time Optimized User Grouping in Location Based Services’, Elsevier Computer Networks (COMNET), vol. 81, pp. 220-244, 2015.
  39. K. Kolomvatsos, C. Anagnostopoulos, S. Hadjiefthymiades, ‘An Efficient Time-Optimized Scheme for Progressive Analytics in Big Data’, Elsevier Big Data Research, vol. 2(4), 2015, pp. 155-165.
  40. K. Kolomvatsos, K. Panagidi, S. Hadjiefthymiades, ‘A Load Balancing Module for Post-Emergency Management’, Elsevier Expert Systems with Applications (ESWA), vol. 42(1), 2015, pp. 657-667.
  41. K. Kolomvatsos, D. Trivizakis, S. Hadjiefthymiades, ‘An Adaptive Fuzzy Logic System for Automated Negotiations’, Elsevier Fuzzy Sets and Systems (FSS), Volume 269, Pages 135–152, 2015.
  42. K. Kolomvatsos, C. Anagnostopoulos and S. Hadjiefthymiades, ‘An Efficient Recommendation System based on the Optimal Stopping Theory’, Elsevier Expert Systems with Applications (ESWA), vol. 41(15), 2014.
  43. K. Kolomvatsos, C. Anagnostopoulos and S. Hadjiefthymiades, ‘Sellers in E-Marketplaces: A Fuzzy Logic based Decision Support System’, Elsevier Information Sciences, vol. 278, pp. 267-284, 2014.
  44. K. Panagidi, K. Kolomvatsos, S. Hadjiefthymiades, ‘An Intelligent Scheme for Concurrent Multi-Issue Negotiations’, International Journal of Artificial Intelligence (IJAI), vol. 12(1), 2014, pp. 129-149.
  45. K. Kolomvatsos and S. Hadjiefthymiades, ‘On the Use of Particle Swarm Optimization and Kernel Density Estimator in Concurrent Negotiations’, Elsevier Information Sciences (INS), vol. 262, 2014, pp. 99-116.
  46. B. Lika, K. Kolomvatsos, S. Hadjiefthymiades, ‘Facing the Cold Start Problem in Recommender Systems’, Elsevier Expert Systems with Applications (ESWA), vol. 41(4), 2014, pp. 2065-2073.
  47. K. Kolomvatsos, C. Anagnostopoulos, and S. Hadjiefthymiades, ‘Determining the Optimal Stopping Time for Automated Negotiations’, IEEE Transactions on Systems, Man and Cybernetics (Part A), vol. PP(99), doi 10.1109/TSMC.2013.2279665, 2013.
  48. K. Kolomvatsos and S. Hadjiefthymiades, ‘An Extended Q-Gram Algorithm for Calculating the Relevance Factor of Products in Electronic Markets’, Elsevier Electronic Commerce Research and Applications (ECRA), vol. 12(6), 2013, pp. 397-411.
  49. Kostas Kolomvatsos, George Valkanas, and Stathes Hadjiefthymiades, ‘Debugging Applications Created by a Domain Specific Language: The IPAC Case’, Elsevier Journal of Systems and Software (JSS), vol. 85(4), April 2012, pp. 932-943.
  50. Kostas Kolomvatsos and Stathes Hadjiefthymiades, ‘Buyer Behavior Adaptation Based on a Fuzzy Logic Controller and Prediction Techniques’, Elsevier Fuzzy Sets and Systems (FSS), vol. 189(1), Feb. 2012, pp. 30-52.
  51. K. Kolomvatsos, C. Anagnostopoulos, and S. Hadjiefthymiades, ‘A Fuzzy Logic System for Bargaining in Information Markets’, ACM Transactions on Intelligent Systems and Technology (ACM TIST), vol. 3(2), Feb. 2012, art. No 32, pp. 1-26.

International Conferences

  1. Polycarpou, O., Anagnostopoulos, C., Kolomvatsos, K., ‘Optimal Load-Aware Task Offloading in Mobile Edge Computing’, in 8th International Conference of Control, Dynamic Systems, and Robotics (CDSR’21), May 23-25, Niagara Falls, Canada (Virtually), 2021.
  2. Kolomvatsos, K., Anagnostopoulos, C., ‘Landmark based Outliers Detection in Pervasive Applications’, 12th International Conference on Information and Communication Systems (ICICS 2021), 24-26 May, Valencia – Spain (Virtual), 2021.
  3. Jodelka, O., Anagnostopoulos, C., Kolomvatsos, K., ‘Adaptive Novelty Detection over Contextual Data Streams at the Edge using One-class Classification’, 12th International Conference on Information and Communication Systems (ICICS 2021), 24-26 May, Valencia – Spain (Virtual), 2021.
  4. Koukaras, T., Kolomvatsos, K., ‘Proactive Data Allocation in Distributed Datasets based on an Ensemble Model’, 12th International Conference on Information and Communication Systems (ICICS 2021), 24-26 May, Valencia – Spain (Virtual), 2021.
  5. Zioviris, G., Kolomvatsos, K., Stamoulis, G., ‘On the Use of a Sequential Deep Learning Scheme for Financial Fraud Detection’, Computing Conference, London, UK, 15-16 July, 2021.
  6. Fountas, P., Kolomvatsos, K., Anagnostopoulos, C., ‘A Deep Learning Model for Data Synopses Management in Pervasive Computing Applications’, Computing Conference, London, UK, 15-16 July, 2021.
  7. Oikonomou, P., Kolomvatsos, K., Loukopoulos, T., ‘Resource Provisioning Schemes for Multiple Workflow Scheduling with Seclusion Requirements’, in 24th Pan-Hellenic Conference on Informatics, Nov. 20-22, Athens, Greece, 2020.
  8. Kolomvatsos, K., ‘A Proactive Uncertainty Driven Model for Data Synopses Management in Pervasive Applications’, in 6th IEEE International Conference on Data Science and Systems, December 14-16, Fiji, 2020.
  9. Kolomvatsos, K., ‘Probabilistic Data Allocation in Pervasive Computing Applications’, 19th International Conference on Ubiquitous Computing and Communications (IUCC) in conjunction with the 18th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), December 17-19, 2020, Exeter, UK.
  10. Oikonomou, P., Kolomvatsos, K., Tziritas, N., Theodoropoulos, G., Loukopoulos, T., Stamoulis, G., ‘Uncertainty Driven Workflow Scheduling Using Unreliable Cloud Resources’, in IEEE International Symposium on Network Computing and Applications (NCA), November 24-27, 2020.
  11. Fountas, P., Kolomvatsos, K., ‘Ensemble based Data Imputation at the Edge’, in 32nd International Conference on Tools with Artificial Intelligence (ICTAI 2020), November 9-11, 2020. [Best Student Paper Award]
  12. A. Karanika. P. Oikonomou, K. Kolomvatsos, C. Anagnostopoulos, ‘An Ensemble Interpretable Machine Learning Scheme for Securing Data Quality at the Edge’, in International IFIP Cross Domain (CD) Conference for Machine Learning & Knowledge Extraction (MAKE) – CD-MAKE 2020, August25-28, 2020.
  13. K. Kolomvatsos, M. Kalouda, P. Papadopoulou, S. Hadjiefthymiades, ‘A Fuzzy Trust Model for Autonomous Entities Acting in Pervasive Computing’, 17th International Conference on Trust, Privacy and Security in Digital Business, Sept. 14-17, Bratislava, Slovakia, 2020.
  14. P. Fountas, K. Kolomvatsos, ‘A Continuous Data Imputation Mechanism based on Streams Correlation’, in 10th Workshop on Management of Cloud and Smart City Systems, in conjunction with IEEE Symposium on Computers and Communications (ISCC), 2020.
  15. Karanika, A., Oikonomou, P., Kolomvatsos, K., Loukopoulos, T., ‘A Demand-driven, Proactive Tasks Management Model at the Edge’, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE World Congress on Computational Intelligence (WCCI), Glasgow, UK, 2020.
  16. T. Tziouvaras, K. Kolomvatsos, ‘Intelligent Monitoring of Virtualized Services’, in 8th European Conference on Service-Oriented and Cloud Computing, EU Projects track, Heraklion, Crete, 2020.
  17. Karanika, A., Soula, M., Anagnostopoulos, C., Kolomvatsos, K., Stamoulis, G., ‘Optimized Analytics Query Allocation at the Edge of the Network’, in 12th International Conference on Internet and Distributed Computing Systems, Naples, Italy, Oct. 10-12, 2019.
  18. Tsoukas, V., Kolomvatsos, K., Chioktour, V., Kakarountas, A., ‘A Comparative Assessment of Machine Learning Algorithms for Events Detection’, in 4th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM), Sept. 2019.
  19. K. Kolomvatsos, P. Papadopoulou, C. Anagnostopoulos, S. Hadjiefthymiades, ‘A Spatio-Temporal Data Imputation Model for Supporting Analytics at the Edge’, 18th IFIP Conference on e-Business, e-Services, and e-Society, Norway, Sept. 2019.
  20. P. Papadopoulou, K. Kolomvatsos, S. Hadjiefthymiades, ‘Internet of Things Business Models: The RAWFIE Case’, 18th IFIP Conference on e-Business, e-Services, and e-Society, Norway, Sept. 2019.
  21. Panagou, N., Koziri, M., Papadopoulos, P., Oikonomou, P., Tziritas, N., Kolomvatsos, K., Loukopoulos, T., Khan, S., ‘Evaluation of Heterogeneous Scheduling Algorithms for Wavefront and Tile Parallelism in Video Coding’, in International Conference in Internet of Things (ICIOT), 2019.
  22. E. Aleksandrova, C. Anagnostopoulos, K. Kolomvatsos, ‘Machine Learning Model Updates in Edge Computing: An Optimal Stopping Theory Approach’, in 18th IEEE International Symposium on Parallel and Distributed Computing, Amsterdam, Netherlands, June 5-7, 2019.
  23. P. Papadopoulos, N. Panagou, M. Koziri, K. Kolomvatsos, T. Loukopoulos, I. Anagnostopoulos, ‘Coding Time Prediction in H.264/HVEC Transcoding Using Macroblock Sizes’, in 14th International Workshop on Semantic and Social Media Adaptation and Personalization, in conjunction with the 27th ACM Conference on User Modeling, Adaptation and Personalization, Larnaca, Cyprus, 9-12 June, 2019.
  24. S. Sagkriotis, K. Kolomvatsos, C. Anagnostopoulos, D. Pezaros, S. Hadjiefthymiades, ‘Knowledge-Centric Analytics Queries Allocation in Edge Computing Environments’, accepted for publication in the IEEE Symposium on Computers and Communications (ISCC), Becelona, Spain, 2019.
  25. K. Kolomvatsos, C. Anagnostopoulos, ‘An Edge-Centric Ensemble Scheme for Queries Assignment’, in 8th International Workshop on Combinations of Intelligent Methods and Applications in conjunction with the 30th International Conference on Tools with Artificial Intelligence, Nov. 5-7, Volos, Greece, 2018.
  26. K. Kolomvatsos, C. Anagnostopoulos, ‘In-Network Edge Intelligence for Optimal Task Allocation’, in 30th International Conference on Tools with Artificial Intelligence, Nov. 5-7, Volos, Greece, 2018.
  27. K. Kolomvatsos, M. Koziri, T. Loukopoulos, ‘An Intelligent Scheme for the Identification of QoS Violations in Virtualized Environments’, in 30th International Conference on Tools with Artificial Intelligence, Nov. 5-7, Volos, Greece, 2018.
  28. K. Kolomvatsos, P. Papadopoulou, S. Hadjiefthymiades, ‘Data Storage in Internet of Things: A Proposed Distributed model’, 12th Mediterranean Conference on Information Systems, Corfu, Greece, Sept. 28-30, 2018.
  29. K. Kolomvatsos, P. Oikonomou, M. Koziri, T. Loukopoulos, ‘A Distributed Data Allocation Scheme for Autonomous Nodes’, IEEE International Conference on Scalable Computing and Communications, Guangzhou, China, Oct. 8-12, 2018.
  30. K. Kolomvatsos, T. Loukopoulos, ‘Scheduling the Execution of Tasks at the Edge’, in 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2018), Rhodes, Greece, May 25-27, 2018.
  31. T. Loukopoulos, M. Koziri, K. Kolomvatsos, P. Oikonomou, ‘On Green Scheduling for Desktop Grids’, Pervasive Information Systems Workshop, 6th International Conference on Information Systems and Technologies, Naples, Italy, March 27-29, 2018, pp. 330-340.
  32. Panagiota Papadopoulou, Kostas Kolomvatsos, Kyriaki Panagidi, Stathes Hadjiefthymiades, ‘Investigating the Business Potential of Internet of Things’, in Proceedings of the Mediterranean Conference on Information Systems, Genoa, Italy, Sept. 4-6, 2017.
  33. K. Kolomvatsos, C. Anagnostopoulos, A. Marnerides, Q. Ni, S. Hadjiefthymiades, D. Pezaros, ‘Uncertainty-driven Ensemble Forecasting of QoS in Software Defined Networks’, in Proceedings of the 22nd IEEE Symposium on Computers and Communications (ISCC), Heraklion, Greece, 2017, pp. 1286-1291.
  34. K. Kolomvatsos, C. Anagnostopoulos, S. Hadjiefthymiades, ‘An Efficient Environmental Monitoring System adopting Data Fusion, Prediction and Fuzzy Logic’, 6th International Conference on Information, Intelligence, Systems and Applications, Corfu, Greece, 2015.
  35. K. Kolomvatsos, C. Anagnostopoulos, S. Hadjiefthymiades, ‘Intelligent Contextual Data Stream Monitoring’, 8th International Conference on Pervasive Technologies Related to Assistive Environments, July 2015, Corfu, Greece, 2015.
  36. C. Anagnostopoulos, K. Kolomvatsos, and S. Hadjiefthymiades, ‘Efficient Location Based Services for Groups of Mobile Users’, IEEE Mobile Data Management Conference (MDM), Milan, Italy, 2013, pp. 6 – 15.
  37. K. Panagidi, K. Kolomvatsos and S. Hadjiefthymiades, ‘On the Use of PSO with Weights Adaptation in Concurrent Multi-Issue Negotiations’, in 10th International Symposium on Distributed Computing and Artificial Intelligence (DCAI), Salamanca, Spain, 2013, pp. 283-290.
  38. K. Kolomvatsos, K. Panagidi and S. Hadjiefthymiades, ‘Optimal Spatial Partitioning for Resource Allocation’, in 10th International Conference on Information Systems for Crisis Response and Management (ISCRAM), Baden-Baden, Germany, May 12-15, 2013, pp. 747-757.
  39. G. Boulougaris, K. Kolomvatsos, and S. Hadjiefthymiades, ‘Building the Knowledge Base of a Buyer Agent Using Reinforcement Learning Techniques’, In Proc. of the 2010 IEEE World Congress on Computational Intelligence (WCCI 2010), IJCNN, July 18th – 23rd, Barcelona, Spain, pp. 1166-1173.
  40. R. Arapoglou, K. Kolomvatsos, and S. Hadjiefthymiades, ‘Buyer Agent Decision Process Based on Automatic Fuzzy Rules Generation Methods’, In Proc. of the 2010 IEEE World Congress on Computational Intelligence (WCCI 2010), FUZ-IEEE, July 18th – 23rd, Barcelona, Spain, pp. 856-863.
  41. V. Nomikos, K. Kolomvatsos, and V. Papadopoulos, ‘An Application Creation Environment for Autonomic Computing’, In 2nd Student Workshop on Wireless Sensor Networks, Oct. 30-31st, Athens, 2009.
  42. Kostas Kolomvatsos and Stathes Hadjiefthymiades, ‘Automatic Fuzzy Rules Generation for the Deadline Calculation of a Seller Agent’, In Proc. of the 9th International Symposium on Autonomous Decentralized Systems (ISADS 2009), Athens, Greece, March 23-25, 2009, pp. 429-434.
  43. V. Papataxiarhis, V. Riga, V. Nomikos, O. Sekkas, K. Kolomvatsos, V. Tsetsos, P. Papageorgas, S. Vourakis, S. Hadjiefthymiades, and G. Kouroupetroglou, ‘MNISIKLIS: Indoor Location Based Services for All’, In Proc. of the 5th International Symposium on LBS and TeleCartography, Nov. 26th – 28th, Salzburg, Austria, 2008, pp. 263-282.
  44. K. Kolomvatsos, C. Anagnostopoulos, and S. Hadjiefthymiades, ‘On The Use of Fuzzy Logic in a Seller Bargaining Game’, In Proc. of the 32nd Annual IEEE International Computer Software and Applications Conference (COMPSAC 2008), July 28th – August 1st, Turku, Finland, 2008, pp. 184-191.
  45. K. Kolomvatsos and S. Hadjiefthymiades, ‘Implicit Deadline Calculation for Seller Agent Bargaining in Information Marketplaces’, In Proc. of the 2nd International Conference on Complex, Intelligent and Software Intensive Systems (CISIS 2008), March 4th – 7th, Polytechnic University of Catalonia, Barcelona, Spain, 2008, pp. 184-190.
  46. K. Kolomvatsos, V. Papataxiarhis, and S. Hadjiefthymiades, ‘Semantic Location Based Services for Smart Spaces’, In Proc. of the 2nd International Conference on Metadata and Semantics Research (MTSR), Oct. 11th – 12th, Corfu, Greece, 2007, pp. 515-525.

Posters

  1. K. Kolomvatsos, C. Anagnostopoulos, ‘Intelligent Applications over Large-Scale Data Streams’, The Scottish Informatics & Computer Science Alliance (SICSA), DemoFest, Edimburgh, Scotland, Nov. 6th, 2018.

Book Chapters

  1. Aladwani, T., Kolomvatsos, K., Deligianni, F., Anagnostopoulos, C., ‘Intelligent Data Management in UAV-enabled Mobile Edge Computing: A Review’, in In Emerging Intelligent Decision Management Systems: Applications and Challenges, Eds Prasant Kumar Pattnaik, Himansu Das, Wiley, 2021.
  2. Ghanduri, F., Kolomvatsos, K., Anagnostopoulos, C., ‘Predictive Intelligence & Explainability Challenges in Finance: A Review’, In Emerging Intelligent Decision Management Systems: Applications and Challenges, Eds Prasant Kumar Pattnaik, Himansu Das, Wiley, 2021.
  3. Ivanov, H., Anagnostopoulos, C., Kolomvatsos, K., ‘In-Network Machine Learning Predictive Analytics: A Swarm Intelligence Approach’, in Convergence of Artificial Intelligence and the Internet of Things, Mastorakis, G., et al., Springer, 2020.
  4. K. Kolomvatsos, C. Anagnostopoulos, ‘Edge-Centric Queries Stream Management based on an Ensemble Model’, in ‘Advances in Integration of Intelligent Methods’, Springer Volume, 2019.
  5. P. Papadopoulou, K. Kolomvatsos, S. Hadjiefthymiades, ‘Enhancing E-Government with Internet of Things’, in ‘Computational Intelligence in the Internet of Things’, Chapter 5, IGI Global, 2019.
  6. K. Kolomvatsos, M. Koziri, T. Loukopoulos, ‘A Recommendation System for Allocating Video Resources in Multiple Partitions’, to be published in Big Data Recommender Systems: Recent Trends and Advances, Institution of Engineering and Technology (IET), 2018.
  7. K. Kolomvatsos, M. Tsiroukis, S. Hadjiefthymiades, ‘An Experiment Description Language for Supporting Mobile IoT Applications’ 2016 FIRE Book, European Commission, River Publishers.
  8. Kostas Kolomvatsos, George Valkanas, Petros Patelis, and Stathes Hadjiefthymiades, ‘Creating, Debugging and Testing Mobile Applications with the IPAC Application Creation Environment’, book chapter in ‘Formal and Practical Aspects of Domain-Specific Languages: Recent Developments’, ed. Dr M. Mernik, IGI Global, 2012, pp. 341-364.
  9. Kostas Kolomvatsos and Stathes Hadjiefthymiades, ‘On the Use of Fuzzy Logic in Electronic Marketplaces’, in the book ‘Cross Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies’, ed. Vijay Mago, IGI Global, 2011, pp. 609-632.
  10. Kostas Kolomvatsos and Stathes Hadjiefthymiades, ‘Defining Time Constraints for Sellers in Electronic Markets’, in the ‘Encyclopedia of E-Business Development and Management in the Global Economy’, ed. In Lee, IGI Global, 2010, pp. 265-272.
  11. Kostas Kolomvatsos and Stathes Hadjiefthymiades, ‘How Can We Trust Agents in Multi-Agent Environments?’, Chapter in ‘Intelligence Integration in Distributed Knowledge Management’, eds D. Krol and N. T. Nguyen, IDEA Group Inc., 2008, pp. 2843-2864.
  12. Kostas Kolomvatsos and Stathes Hadjiefthymiades, ‘Ontologies and Intelligent Agents: A Powerful Bond’, Chapter in ‘The Semantic Web for Knowledge and Data Management: Technologies and Practices’, eds Z. Ma and H. Wang, IDEA Group Inc., 2008, pp. 49-73.
  13. Kostas Kolomvatsos, ‘Ubiquitous Computing in Education’, Chapter in ‘Ubiquitous and Pervasive Knowledge and Learning Management: Semantics, Social Networking and New Media to their Full Potential’, IDEA Group Inc., 2007, pp. 94-117.

Technical Reports

  1. V. Nomikos, and K. Kolomvatsos, ‘Documentation of the IPAC Application Description Language’, Technical Report, Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Sept. 2009.
  2. K. Kolomvatsos and V. Tsetsos, ‘Spatial Ontology-Based Annotation Using GIS’, Technical Report, Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Feb. 2008.