Publications per Research Domain

Intelligent Systems and Analytics, Tasks and Data Management in Pervasive & Edge Computing and IoT

  1. Kolomvatsos, K., Anagnostopoulos, C., 'Autonomous Proactive Data Management in Support of Pervasive Edge Applications', Future Generation Computer Systems (FGCS), Elsevier, 2024.
  2. ALFahad, S., Wang, Q., Anagnostopoulos, C., Kolomvatsos, K., 'Task Offloading in Mobile Edge Computing using Cost-based Discounted Optimal Stopping', Open Computer Science, 2024.
  3. Wang, Q., ALFahad, S., Mateo Fornes, J., Anagnostopoulos, C., Kolomvatsos, K., 'Resilient Edge Predictive Analytics by Enhancing Local Models', Open Computer Science, 2024.
  4. Moustakas, T., Kolomvatsos, K., 'Homogeneous Transfer Learning for Supporting Pervasive Edge Applications', Journal of Evolving Systems, Springer, 2023.
  5. Moustakas, T., Kolomvatsos, K., 'Cluster based Similarity Extraction upon Distributed Datasets', Cluster Computing Journal, Springer, 2023.
  6. Vrachimis, A., Gkegka, S., Kolomvatsos, K., 'Resilient Edge Machine Learning in Smart City Environments', Journal of Smart Cities and Society, 2023.
  7. Moustakas, A., Kolomvatsos, K., 'Correlation Adaptive Task Scheduling', Springer Computing Journal, 2023.
  8. Boulougaris, G., Kolomvatsos, K., 'An Inference Mechanism for Proactive Service Migration at the Edge', IEEE Transactions on Network and Service Management, 2023.
  9. Wang, Q., Anagnostopoulos, C., Fornes, J., Kolomvatsos, K., Vrachimis, A., 'Maintenance of Model Resilience in Distributed Edge Learning Environments', in 19th International Conference on Intelligent Environments, Island of Mauritius, 27-30 June 2023.
  10. Aladwani, T., Anagnostopoulos, C., Kolomvatsos, K., Alghamdi, I., Deligianni, F., 'Query-driven Edge Node Selection in Distributed Learning Environments', in Data-driven Smart Cities (DASC) in 39th IEEE International Conference on Data Engineering (ICDE 2023), Anaheim, California, USA, April 3-7 2023.
  11. Papathanasaki, M., Fountas, P., Kolomvatsos, K., 'An Uncertainty-Driven Proactive Self-Healing Model for Pervasive Applications', Network, MDPI, 2022.
  12. Wang, Q., Mateo Fornes, J., Anagnostopoulos, C., Kolomvatsos, K., 'Predictive Model Resilience in Edge Computing', in 8th IEEE World Forum on Internet of Things (IEEE WFIoT2022), Oct. 26 – Nov. 11, Yokohama, Japan, 2022.
  13. Long, Q., Kolomvatsos, K., Anagnostopoulos, C., 'Knowledge Reuse in Edge Computing Environments', Journal of Network and Computer Applications (JNCA), Elsevier, 2022.
  14. Kolomvatsos, K., 'A Proactive Inference Scheme for Data-Aware Decision Making in Support of Pervasive Applications', Future Generation Computer Systems (FGCS), Elsevier, 2022.
  15. Boulougaris, G., Kolomvatsos, K., 'A QoS-aware, Proactive Tasks Offloading Model for Pervasive Applications', in 9th International Conference on Future Internet of Things and Cloud (FiCloud), 22-24 Aug, Rome, Italy, 2022.
  16. Aladwani, T., Anagnostopoulos, C., Alghamdi, I., Kolomvatsos, K., 'Data-driven Analytics Task Management at the Edge: A Fuzzy Reasoning Approach', in 9th International Conference on Future Internet of Things and Cloud (FiCloud), 22-24 Aug, Rome, Italy, 2022.
  17. Scotti, X., Anagnostopoulos, C., Kolomvatsos, K., 'On the Reusability of Machine Learning Models in Edge Computing: A Statistical Learning Approach', in Future Technologies Conference (FTC), 20-21 October, Vancouver, Canada, 2022.
  18. Anagnostopoulos, C., Aladwani, T., Alghamdi, I., Kolomvatsos, K., 'Data-driven Analytics Task Management Reasoning Mechanism in Edge Computing', Smart Cities, MDPI, 5, 562–582, 2022.
  19. Fountas, P., Papathanasaki, M., Kolomvatsos, K., Anagnostopoulos, C., 'Query Driven Data Subspace Mapping', in IFIP 18th International Conference on Artificial Intelligence Applications and Innovations (AIAI), Crete, Greece, Hybrid, 17 20 June, 2022.
  20. Harth, N., Anagnostopoulos, C., Voegel, H.-J., Kolomvatsos, K., 'Local & Federated Learning at the Network Edge for Efficient Predictive Analytics', Future Generation Computer Systems, Elsevier, 2022.
  21. Kolomvatsos, K., Anagnostopoulos, C., 'A Proactive Statistical Model Supporting Services and Tasks Management in Pervasive Applications', IEEE Transactions on Network and Service Management, 2022.
  22. Fountas, P., Kolomvatsos, K., 'An Ensemble Model for Data Imputation to Support Pervasive Applications', International Journal on Artificial Intelligence Tools, 2022.
  23. Soula, M., Karanika, A., Kolomvatsos, K., Anagnostopoulos, C., Stamoulis, G., 'Intelligent Tasks Allocation at the Edge based on Machine Learning and Bio-Inspired Algorithms', Evolving Systems, Springer, 2021.
  24. Kolomvatsos, K., Anagnostopoulos, C., 'Landmark based Outliers Detection in Pervasive Applications', in 12th International Conference on Information and Communication Systems (ICICS 2021), 24-26 May, Valencia - Spain (Virtual), 2021.
  25. Jodelka, O., Anagnostopoulos, C., Kolomvatsos, K., 'Adaptive Novelty Detection over Contextual Data Streams at the Edge using One-class Classification', in 12th International Conference on Information and Communication Systems (ICICS 2021), 24-26 May, Valencia - Spain (Virtual), 2021.
  26. Kolomvatsos, K., 'Data-driven Type-2 Fuzzy Sets for Tasks Management at the Edge', IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2021.
  27. 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.
  28. Kolomvatsos, K., Anagnostopoulos, C., 'Proactive, Uncertainty-Driven Queries Management at the Edge', Future Generation Computer Systems (FGCS), Elsevier, 2021.
  29. Kolomvatsos, K., 'Proactive Tasks Management for Pervasive Computing Applications', Journal of Network and Computer Applications (JNCA), Elsevier, 2021.
  30. 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.
  31. 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.
  32. Fountas, P., Kolomvatsos, K., Anagnostopoulos, C., 'A Deep Learning Model for Data Synopses Management in Pervasive Computing Applications', Computing Conference, , July 15-16, London, 2021.
  33. Kolomvatsos, K., 'A Proactive Uncertainty Driven Model for Data Synopses Management in Pervasive Applications', 6th IEEE International Conference on Data Science and Systems (DSS), , 14-16, Fiji, 2020.
  34. 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.
  35. Kolomvatsos, K., Anagnostopoulos, C., 'A Deep Learning Model for Demand-driven, Proactive Tasks Management in Pervasive Computing', , IoT, MDPI, 2020.
  36. Kolomvatsos, K., Anagnostopoulos, C., Koziri, M., Loukopoulos, T., 'Proactive & Time-Optimized Data Synopsis Management at the Edge', , IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2020.
  37. Fountas, P., Kolomvatsos, K., 'Ensemble based Data Imputation at the Edge', , 32nd International Conference on Tools with Artificial Intelligence (ICTAI 2020), November 9-11, 2020. [Best Student Paper Award]
  38. Kolomvatsos, K., Anagnostopoulos, C., 'An Intelligent Edge-Centric Queries Allocation Scheme based on Ensemble Models', ACM Transactions on Internet Technology, 2020.
  39. Savva, F., Anagnostopoulos, C., Triantafillou, P., Kolomvatsos, K., 'Large-scale Data Exploration using Explanatory Regression Functions', ACM Transactions on Knowledge Discovery from Data, 2020.
  40. A. Karanika. P. Oikonomou, K. Kolomvatsos, C. Anagnostopoulos, 'An Ensemble Interpretable Machine Learning Scheme for Securing Data Quality at the Edge', International IFIP Cross Domain (CD) Conference for Machine Learning & Knowledge Extraction (MAKE) - CD-MAKE 2020, August 25-27, 2020.
  41. P. Fountas, K. Kolomvatsos, 'A Continuous Data Imputation Mechanism based on Streams Correlation', 10th Workshop on Management of Cloud and Smart City Systems, in conjunction with IEEE Symposium on Computers and Communications (ISCC), 2020.
  42. Yiannis Kathidjiotis, Kostas Kolomvatsos, Christos Anagnostopoulos, 'Predictive Intelligence of Reliable Analytics in Distributed Computing Environments', Springer Applied Intelligence, 2020.
  43. Karanika, A., Oikonomou, P., Kolomvatsos, K., Loukopoulos, T., 'A Demand-driven, Proactive Tasks Management Model at the Edge', in IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE World Congress on Computational Intelligence (WCCI), Glasgow, UK, 2020.
  44. K. Kolomvatsos, C. Anagnostopoulos, 'A Probabilistic Model for Assigning Queries at the Edge', in Computing, Springer, 2020.
  45. 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.
  46. C. Anagnostopoulos, K. Kolomvatsos, 'An Intelligent, Time-Optimized Monitoring Scheme for Edge Nodes', in Journal of Network and Computer Applications, Elsevier, vol. 148, 2019.
  47. K. Kolomvatsos, C. Anagnostopoulos, 'Edge-Centric Queries Stream Management based on an Ensemble Model', in 'Advances in Integration of Intelligent Methods', Springer Volume, 2019.
  48. 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.
  49. K. Kolomvatsos, P. Papadopoulou, C. Anagnostopoulos, S. Hadjiefthymiades, 'A Spatio-Temporal Data Imputation Model for Supproting Analytics at the Edge', in 18th IFIP Conference on e-Business, e-Services, and e-Society, Norway, Sept. 2019.
  50. 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, June 5-7, Amsterdam, Netherlands, 2019.
  51. S. Sagkriotis, K. Kolomvatsos, C. Anagnostopoulos, D. Pezaros, S. Hadjiefthymiades, 'Knowledge-centric Analytics Queries Allocation in Edge Computing Environments', in IEEE Symposium on Computers and Communications (ISCC), June 29th - July 3rd, Barcelona, Spain, 2019.
  52. 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.
  53. K. Kolomvatsos, 'A Distributed, Proactive Intelligent Scheme for Securing Quality in Large Scale Data Processing', accepted for publication in Springer Computing, 2019.
  54. K. Kolomvatsos, C. Anagnostopoulos, 'Multi-criteria Optimal Task Allocation at the Edge', Elsevier Future Generation Computer Systems, vol. 93, 2019, pp. 358-372.
  55. K. Kolomvatsos, 'Time-Optimized Management of Mobile IoT Nodes for Pervasive Applications', Journal of Network and Computer Applications, Elsevier, vol. 125, 2019, pp. 155-167.
  56. K. Kolomvatsos, 'An Intelligent, Uncertainty Driven Management Scheme for Software Updates in Pervasive IoT Applications', Elsevier Future Generation Computer Systems, vol. 83, pp. 116-131, 2018.
  57. K. Kolomvatsos, 'Time-Optimized Management of IoT Nodes', Elsevier Ad Hoc Networks, vol. 69, 2018, pp. 1-14.
  58. K. Kolomvatsos, C. Anagnostopoulos, 'Intelligent Applications over Large-Scale Data Streams', The Scottish Informatics & Computer Science Alliance (SICSA), DemoFest, Edimburgh, Scotland, Nov. 6th, 2018.
  59. K. Kolomvatsos, C. Anagnostopoulos, 'In-Network Edge Intelligence for Optimal Task Allocation', 30th International Conference on Tools with Artificial Intelligence, Nov. 5-7, Volos, Greece, 2018.
  60. 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.
  61. K. Kolomvatsos, T. Loukopoulos, 'Scheduling the Execution of Tasks at the Edge', 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2018), Rhodes, Greece, May 25-27, 2018.
  62. K. Kolomvatsos, M. Koziri, T. Loukopoulos, 'An Intelligent Scheme for the Identification of QoS Violations in Virtualized Environments', 30th International Conference on Tools with Artificial Intelligence, Nov. 5-7, Volos, Greece, 2018.
  63. K. Kolomvatsos, 'An Intelligent Scheme for Assigning Queries', Springer Applied Intelligence, https://doi.org/10.1007/s10489-017-1099-5, 2018.
  64. 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.
  65. 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.
  66. K. Kolomvatsos, C. Anagnostopoulos, A. Marnerides, Q. Ni, S. Hadjiefthymiades, D. Pezaros, ‘Uncertainty-driven Ensemble Forecasting of QoS in Software Defined Networks’, accepted in 22nd IEEE Symposium on Computers and Communications (ISCC), Heraklion, Greece, 2017.
  67. K. Kolomvatsos, S. Hadjiefthymiades, ‘Predictive Intelligence in Analytics Aggregation of Partially Ordered Subsets’,IEEE Transactions on Systems, Man and Cybernetics: Systems, 2017.
  68. K. Kolomvatsos, S. Hadjiefthymiades, ‘Learning the Engagement of Query Processors for Intelligent Analytics’, Springer Applied Intelligence Journal, vol. 46(1), 96-112, pp. 1-17, 2017.
  69. 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.
  70. 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.
  71. 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.

 

Contextual Reasoning

  1. C. Anagnostopoulos, K. Kolomvatsos, 'Predictive Intelligence to the Edge through Approximate Collaborative Context Reasoning', Springer Applied Intelligence, vol. 48(4), 2018, pp. 966-991.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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, July 2015.
  10. C. Anagnostopoulos, K. Kolomvatsos and S. Hadjiefthymiades, 'Efficient Location Based Services for Groups of Mobile Users', in IEEE 14th International Conference on Mobile Data Management (MDM), Milan, Italy, June 3-6, 2013.
  11. 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.

 

Fuzzy Logic Reasoning and Applications

  1. Kolomvatsos, K., Kalouda, M., Papadopoulou, P., Hadjiefthymiades, S., 'Fuzzy Trust Modeling for Pervasive Computing Applications', Journal of Data Intelligence, 2021.
  2. 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.
  3. 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.
  4. K. Kolomvatsos, ‘Effective Problem Solving through Fuzzy Logic Knowledge Bases Aggregation’, Springer Soft Computing Journal, 20(3), 1071-1092, 2016.
  5. K. Kolomvatsos, D. Trivizakis, S. Hadjiefthymiades, ‘An Adaptive Fuzzy Logic System for Automated Negotiations’, accepted for publication in Elsevier Fuzzy Sets and Systems (FSS), 2014.
  6. K. Kolomvatsos, C. Anagnostopoulos, S. Hadjiefthymiades, 'Sellers in Marketplaces: A Fuzzy Logic based Decision Support System', Elsevier Information Sciences (INS) (IF 2013: 3.893), vol. 278, pp. 267-284, 2014.
  7. Kostas Kolomvatsos and Stathes Hadjiefthymiades, 'Buyer Behaviour Adaptation Based on a Fuzzy Logic Controller and Prediction Techniques', Elsevier Fuzzy Sets and Systems (FSS) (IF 2012: 1.749), vol. 189(1), Feb. 2012, pp. 30-52.
  8. 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.
  9. 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.
  10. 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.
  11. 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 an Applications Conference (COMPSAC 2008), July 28th - August 1st, Turku, Finland, 2008, pp. 184-191.
  12. 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.

 

Recommender Systems

  1. 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.
  2. K. Kolomvatsos, C. Anagnostopoulos and S. Hadjiefthymiades, ‘An Efficient Recommendation System based on the Optimal Stopping Theory’, Elsevier Expert Systems with Applications (ESWA), (IF 2013: 1.965), vol. 41(15), 2014.
  3. B. Lika, K. Kolomvatsos, S. Hadjiefthymiades, ‘Facing the Cold Start Problem in Recommender Systems’, Elsevier Expert Systems with Applications (ESWA) (IF 2013: 1.965), vol. 41(4), 2014, 2065-2073.

 

Smart Cities Applications

  1. K. Kolomvatsos, C. Anagnostopoulos, 'Reinforcement Machine Learning for Predictive Analytics in Smart Cities', Informatics, MDPI, 4, 16, 2017.
  2. 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, Volume: 2, Issue: 3, 2017.
  3. 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 (JSS), vol. 110, 2015, pp. 178-192.

 

Autonomous Behaviour and Decision Making

  1. Albanis, G., Zioulis, N., Thermos, S., Chatzitofis, A., Kolomvatsos, K., 'Noise-in, Bias-out: Balanced and Real-Time MoCap Solving', in Computer Vision for Metaverse Workshop, International Conference on Computer Vision (ICCV), Paris, France, October 2-6, 2023.
  2. Panagidi, K., Riazuelo, L., Alonso, I., Murillo, A. C., Montano, L., Cantero, M., Martins, R., Kolomvatsos, K., Hadjiefthymiades, S., 'On the Innovative Management of Remote Robotic Experimentation', in the 5th Iberian Robotics Conference (ROBOT 22), Zaragoza, Spain, November 23-25, 2022.
  3. Tragoudaras, A., Stoikos, P., Fanaras, K., Tziouvaras, A., Floros, G., Dimitriou, G., Kolomvatsos, K., Stamoulis, G., 'Design Space Exploration of a Sparse MobileNetV2 Using High-Level Synthesis and Sparse Matrix Techniques on FPGAs', Sensors, 22, 4813, 2022, https://doi.org/10.3390/s22124318.
  4. Zioviris, G., Kolomvatsos, K., Stamoulis, G., 'Credit Card Fraud Detection using a Deep Learning Multistage Model', Journal of Supercomputing, 2022.
  5. Albanis, G., Chatzitofis, A., Thermos, S., Zioulis, N., Kolomvatsos, K., 'Towards Scalable and Real-Time Markerless Motion Capture', in IEEE Conference on Virtual Reality, 12-16 March, 2022.
  6. Panagiotis Fountas, Maria Papathanasaki, Kostas Kolomvatsos, Nikos Tziritas, 'Proactive Attack Detection at the Edge through an Ensemble Deep Learning Model', in , 20th International Conference on Ubiquitous Computing and Communications (IUCC), 20-22 December, London, UK, 2021.
  7. Panagiotis Oikonomou, Nikos Tziritas, Kostas Kolomvatsos, Thanasis Loukopoulos, 'Fast Heuristics for Mixed Fleet Capacitated Multiple TSP with Applications to Location Based Games and Drone Assisted Transportation', in 25th Pan-Hellenic Conference on Informatics,November 26-28, Volos, Greece, 2021.
  8. Nikos Pappas, Panagiotis Oikonomou, Nikos Tziritas, Kostas Kolomvatsos, Thanasis Loukopoulos, 'Bin Packing Heuristics for the Multiple Workflow Scheduling Problem', in 25th Pan-Hellenic Conference on Informatics,November 26-28, Volos, Greece, 2021.
  9. Oikonomou, P., Kolomvatsos, K., Anagnostopoulos, C., Tziritas, N., Theodoropoulos, G., 'A Probabilistic Batch Oriented Proactive Workflow Management', in , 33rd International Conference on Tools with Artificial Intelligence (ICTAI 2021),November 1-3 (Virtually), 2021.
  10. Fountas, P., Kolomvatsos, K., 'Proactive, Correlation Based Anomaly Detection at the Edge', in , 33rd International Conference on Tools with Artificial Intelligence (ICTAI 2021),November 1-3 (Virtually), 2021.
  11. 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.
  12. Koukaras, T., Kolomvatsos, K., 'Proactive Data Allocation in Distributed Datasets based on an Ensemble Model', in 12th International Conference on Information and Communication Systems (ICICS 2021), 24-26 May, Valencia - Spain (Virtual), 2021.
  13. Zioviris, G., Kolomvatsos, K., Stamoulis, G., 'On the Use of a Sequential Deep Learning Scheme for Financial Fraud Detection', Computing Conference, , July 15-16, London, 2021.
  14. 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.
  15. T. Tziouvaras, K. Kolomvatsos, 'Intelligent Monitoring of Virtualized Services', in 8th European Conference on Service-Oriented and Cloud Computing, EU Projects track, 2020.
  16. 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), 2019.
  17. 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.
  18. 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,3-12 June, Larnaca, Cyprus, 2019.
  19. P. Oikonomou, A. Dadaliaris, K. Kolomvatsos, T. Loukopoulos, A. Kakarountas, G. Stamoulis, 'Improved Parallel Legalization Schemes for Standard Cell Placement with Obstacles', Technologies, MPDI, 2019.
  20. 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.
  21. Jankowski, J., Goode, S., Kolomvatsos, K., Kazienko, P., Watrobski, J., ‘Modeling User Preferences and Behaviors in Virtual Product Retail Systems’, Special Issue on Analyzing and Mining Social Networks for Decision Support, Journal of Universal Computer Science, vol. 22(3), pp. 416-437, 2016.
  22. K. Kolomvatsos, K. Panagidi, S. Hadjiefthymiades, 'A Load Balancing Module for Post Emergency Management', Elsevier Expert Systems with Applications (ESWA), (IF 2013: 1.965), vol. 42(1), 2014, pp. 657 - 667, 2015.
  23. 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.
  24. K. Kolomvatsos, S. Hadjiefthymiades, 'On the Use of Particle Swarm Optimization and Kernel Density Estimator in Concurrent Negotiations', accepted for publication in Elsevier Information Sciences (INS) (IF 2013: 3.893), 2014.
  25. K. Kolomvatsos, C. Anagnostopoulos, and S. Hadjiefthymiades, ‘Determining the Optimal Stopping Time for Automated Negotiations’, IEEE Transactions on Systems, Man and Cybernetics (Part: Systems), doi 10.1109/TSMC.2013.2279665, 2013.
  26. Kostas Kolomvatsos and Stathes Hadjiefthymiades, 'An Extended Q-Gram Algorithm for Calculating the Relevance Factor of Products in Electronic Markets', Elsevier Electronic Commerce Research and Applications (ECRA) (IF 2013: 1.304), vol. 12(6), 2013, pp. 397-411.
  27. T. Loukopoulos, M. Koziri, K. Kolomvatsos, P. Oikonomou, 'On Green Scheduling for Desktop Grids', to be presented in Pervasive Information Systems Workshop, 6th International Conference on Information Systems and Technologies, Naples, Italy, March 27-29, 2018.
  28. 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, Sept. 4-6, Genoa, Italy, 2017.
  29. 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 '13), Salamanca, Spain, May 22-24, 2013.
  30. 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 2013), Baden-Baden, Germany, May 12-15, 2013.
  31. 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.
  32. K. Kolomvatsos and S. Hadjiefthymiades, 'Implicit Deadline Calculation for Seller Agent Bagraining 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.
  33. 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.
  34. 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.

 

Semantic Technologies and Domain Specific Languages

  1. 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) (IF 2012: 1.135), vol. 85(4), April 2012, pp. 932-943.
  2. 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.
  3. 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.
  4. K. Kolomvatsos, M. Tsiroukis, S. Hadjiefthymiades, ‘An Experiment Description Language for Supporting Mobile IoT Applications’, 2016 FIRE Book, European Commission, River Publishers.
  5. Kostas Kolomvatsos, George Valkanas, Petros Patelis, and Stathes Hadjiefthymiades, 'Creating, Debugging and Testing Mobile Applications with the IPAC Application Creation Environment', in 'Formal and Practical Aspects of Domain-Specific Languages: Recent Developments', ed. Dr M. Mernik, IGI Global, 2012.
  6. 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.
  7. 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.
  8. V. Nomikos, and K. Kolomvatsos, 'Documentation of the IPAC Application Description Language', Technical Report, Department of Informatics and Telecommunications, National and Kapodistrian Univarsity of Athens, Sept. 2009.
  9. K. Kolomvatsos and V. Tsetsos, 'Spatial Ontology-Based Annotation Using GIS', Technical Report, Department of Informatics and Telecommunications, National and Kapodistrian Univarsity of Athens, Feb. 2008.

 

Other Domains

  1. Tsolia, M., Zygouris, N., Kolomvatsos, K., 'Neural Networks for Assessing Reading Disabilities in School-Aged Children', in IEEE Global Engineering Education Conference (EDUCON),, May 8-11, Kos, Greece, 2024.
  2. Diamantas, A., Terpo, I., Chondros, P., Chatzipetrou, V., Vagenas, S., Papathanasaki, M., Fountas, P., Kolomvatsos, K., 'Digitization and Digital Presentation of a Wooden Traditional Boat', in 5th Pan-Hellenic Conference on Digital Cultural Heritage, Euromed ‘23,, Larissa, Greece, March 6-9, 2024.
  3. Vavougios, G., Stavrou, V., Konstantatos, C., Sinigalias, P.-C., Zarogiannis, S., Kolomvatsos, K., Stamoulis, G., Gourgoulianis, K., 'COVID-19 Phenotypes and Comorbidity: A Data-Driven, Pattern Recognition Approach Using National Representative Data from the United States', International Journal of Environmental Research and Public Health, 19, 4630, 2022.
  4. K. Kolomvatsos, P. Papadopoulou, S. Hadjiefthymiades, 'Internet of Things Business Models: The RAWFIE Case', in 18th IFIP Conference on e-Business, e-Services, and e-Society, Norway, Sept. 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.