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Dr. Ilias Kalamaras -
Publications

Journals

  1. I. Kalamaras, R. Sanchez-Corcuera, D. Casado-Mansilla, A. C. Tsolakis, O. Gomez-Carmona, S. Krinidis, C. E. Borges, D. Tzovaras, D. Lopez-de-Ipina, "A cascading model for nudging employees towards energy-efficient behaviour in tertiary buildings", PLoS ONE 19(5), May 2024, e0303214. https://doi.org/10.1371/journal.pone.0303214 https://doi.org/10.1371/journal.pone.0303214
  2. P. Kampaktsis, I. Doulamis, R. Asleh, E. Makri, I. Kalamaras, C. Papastergiopoulos, M. Emfietzoglou, A. Drosou, H. Alnsasra, E. Duque, A. Briasoulis, "Characteristics, Predictors & Outcomes of Early mTOR Inhibitor Use After Heart Transplantation: Insights From the UNOS Database.", J Am Heart Assoc. 2022 Aug 24:e025507 (IF 6.1). (2022). https://doi.org/10.1161/JAHA.122.025507
  3. I. Kalamaras, K. Glykos, V. Megalooikonomou, K. Votis, D. Tzovaras, "Graph-based visualization of sensitive medical data.", Multimedia Tools and Applications, 81(1), pp.209-236. 2022.
  4. T. Veiga, A. Munch-Ellingsen, C. Papastergiopoulos, D. Tzovaras, I. Kalamaras, K. Bach, K. Votis, S. Akselsen, "From a low-cost air quality sensor network to decision support services: Steps towards data calibration and service development.", Sensors, 21(9), 3190. (2021).
  5. A. Tsolakis, I. Kalamaras, T. Vafeiadis, L. Zyglakis, A. Bintoudi, A. Chouliara, D. Ioannidis, D. Tzovaras, "Towards a holistic microgrid performance framework and a data-driven assessment analysis", Energies, 13(21), 5780. https://doi.org/10.3390/en13215780, 2020
  6. H. Kondylakis, D. Katehakis, A. Kouroubali, F. Logothetidis, A. Triantafyllidis, I. Kalamaras, K. Votis, D. Tzovaras, "COVID-19 Mobile Apps: A Systematic Review of the Literature", 2020, Journal of Medical Internet Research.
  7. T. Tegou, A. Papadopoulos, I. Kalamaras, K. Votis, D. Tzovaras, "Using Auditory Features for WiFi Channel State Information Activity Recognition", 2020, SN Computer Science, 1(1), p.3.
  8. E. Zacharaki, K. Deltouzos, S. Kalogiannis, I. Kalamaras, L. Bianconi, C. Degano, R. Orselli, J. Montesa, K. Moustakas, K. Votis, D. Tzovaras, V. Megalooikonomou, "FrailSafe: An ICT platform for unobtrusive sensing of multi-domain frailty for personalized interventions", in IEEE Journal of Biomedical and Health Informatics, to appear.
  9. T. Tegou , I. Kalamaras , M. Tsipouras, N. Giannakeas, K. Votis, D. Tzovaras, "A Low-Cost Indoor Activity Monitoring System for Detecting Frailty in Older Adults", Sensors 2019, 19(3), 452; (registering DOI) https://doi.org/10.3390/s19030452
  10. E. Polychronidou, I. Kalamaras, A. Agathangelidis, L. A. Sutton, X. J. Yan, V. Bikos, A. Vardi, K. Mochament, N. Chiorazzi, C. Belessi, R. Rosenquist, P. Ghia, K. Stamatopoulos, P. Vlamos, A. Chailyan, N. Overby, P. Marcatili, A. Hatzidimitriou, D. Tzovaras, "Automated Shape-based Clustering of 3D Immunoglobulin Protein Structures In Chronic Lymphocytic Leukemia", BMC Bioinformatics 19, 414 (2018).
  11. I. Kalamaras, A. Zamichos, A. Salamanis, A. Drosou, D. Kehagias, G. Margaritis, St. Papadopoulos, D. Tzovaras, "An interactive Visual Analytics Platform for smart Intelligent Transportation Systems management", in IEEE Transactions on Intelligent Transportation Systems, vol. 19, no. 2, pp. 487-496, Feb. 2018, doi: 10.1109/TITS.2017.2727143
  12. A. Drosou, I. Kalamaras, St. Papadopoulos, D. Tzovaras, "An enhanced Graph Analytics Platform (GAP) providing insight in Big Network Data", Journal of Innovation in Digital Ecosystems, SI: Digital ecosystem management, Vol. 3, No. 2, pp. 83–97, 2016, doi: 10.1016/j.jides.2016.10.005
  13. I. Kalamaras, A. Drosou, D. Tzovaras, "Accessibility-based re-ranking in multimedia search engines", Multimedia Tools and Applications, Vol. 76, No. 14, pp. 15923-15949, 2016, doi:10.1007/s11042-016-3886-0
  14. I. Kalamaras, A. Drosou, D. Tzovaras, "Multi-Objective Optimization for Multimodal Visualization", IEEE Trans. on Multimedia, Vol. 16, No. 5, pp. 1460–1472, 2014, doi: 10.1109/TMM.2014.2316473.
  15. I. Kalamaras, A. Mademlis, S. Malassiotis, D. Tzovaras, "A novel framework for retrieval and interactive visualization of multimodal data", Electronic Letters on Computer Vision and Image Analysis, Vol. 12, No. 2, pp. 28–39, 2013.

Conference

  1. S. Segkouli, L. Mpaltadoros, A. T. Patenidis, V. Alepopoulos, A. Skoumbourdi, M. Grammatikopoulou, I. Kalamaras, I. Lazarou, P. Bamidis, D. Petsani, E. Konstantinidis, T. Santonen, S. Nikolopoulos, I. Kompatsiaris, K. Votis, D. Tzovaras, "Combined Multicomponent Interventions for Older Adults in a Smart Home Living Lab.", in Auer, M.E., Langmann, R., May, D., Roos, K. (eds) Smart Technologies for a Sustainable Future. STE 2024. Lecture Notes in Networks and Systems, vol 1028. Springer, Cham, 2024. https://doi.org/10.1007/978-3-031-61905-2_27
  2. G. Agrafiotis, E. Makri, I. Kalamaras, A. Lalas, K. Votis, D. Tzovaras, "Nearest Unitary and Toeplitz matrix techniques for adaptation of Deep Learning models in photonic FPGA.", In Proceedings of the Northern Lights Deep Learning Workshop (Vol. 4). (2023, January).. https://septentrio.uit.no/index.php/nldl/article/view/6825
  3. A. Swarup, A. Vella, I. Grujic, J. Frattolin, E. Makri, I. Kalamaras, A. Drosou, P. Thiruchelvam, J. E. Moore, "A Meta-Analysis to Determine the Risk of Breast Cancer Treatment Combinations on the Incidence of Breast Cancer-Related Lymphedema.", Annals of Surgical Oncology (Vol. 29, No. SUPPL 1, pp. 178-179), Springer, 2022.
  4. P. Kampaktsis, I. Doulamis, E. Makri, I. Kalamaras, C. Papastergiopoulos, M. Emfietzoglou, P. Alvarez, A. Drosou, A. Briasoulis, "Characteristics, Predictors and Outcomes of Early Mammalian Target OF Rapamycin (mTOR) Inhibitor Use after Heart Transplantation; Insights from the United Network for Organ Sharing (UNOS) Database.", Journal of the American College of Cardiology, 79(9_Supplement), pp.492-492. 2022.
  5. A. Scherrer, T. Zimmermann, S. Riedel, F. Mousa, I. Wasswa-Musisi, R. Zifrid, H. Tillil, P. Ulrich, T. Kosmidis, J. Reis, G. Oestreicher, M. Möhler, I. Kalamaras, K. Votis, S. Venios, M. Plakia, S. Diamantopoulos, "Digitally Assisted Planning and Monitoring of Supportive Recommendations in Cancer Patients.", In Artificial Intelligence Applications and Innovations. AIAI 2022 IFIP WG 12.5 International Workshops: MHDW 2022, 5G-PINE 2022, AIBMG 2022, ML@ HC 2022, and AIBEI 2022, Hersonissos, Crete, Greece, June 17–20, 2022, Proceedings (pp. 401-411). Cham: Springer International Publishing.
  6. G. Dafoulas, I. Kalamaras, K. Votis, A. Bargiota, "Glucose control and mortality in critically Ill patients, based on real world evidence.", In Endocrine Abstracts (Vol. 81). Bioscientifica. 2022, May.
  7. E. Makri, G. Agrafiotis, I. Kalamaras, A. Lalas, K. Votis, D. Tzovaras, "Less is More: Compression of Deep Neural Networks for adaptation in photonic FPGA circuits.", In 2022 Data Compression Conference (DCC) (pp. 470-470). IEEE. (2022, March).. https://ieeexplore.ieee.org/abstract/document/9810741
  8. A. Swarup, A. Vella, I. Grujic, J. Frattolin, E. Makri, I. Kalamaras, A. Drosou, P. Thiruchelvam, J. Moore, "Treatment-based risk factors leading to breast cancer-related lymphoedema: a meta-analysis", 10th International Conference of the International Lymphoedema Framework, ILF 2021.
  9. E. Makri, G. Agrafiotis, I. Kalamaras, A. Lalas, K. Votis, D. Tzovaras, "Adaptation of Neural Network Architectures for Photonic FPGA Circuits", 1st Workshop on Neuromorphic Photonics, Thessaloniki, Greece, December 6-7, 2021.
  10. I. Grujic, A. Swarup, A. Vella, J. Frattolin, A. Drosou, I. Kalamaras, P. TR. Thiruchelvam, L. Nessa, J. E. Moore, "Meta-Analysis of Treatment-Related Risk Factors for Developing Breast Cancer-Related Lymphoedema", Lymphatic Forum 2021
  11. G. Dafoulas, I. Kalamaras, K. Votis, A. Bargiota, "Glycated Hemoglobin at Admission in the ICU as a Prognostic Marker for Mortality in Critically Ill Patients, Based on Real World Evidence.", In Diabetes Technology & Therapeutics (Vol. 23, pp. A43-A43). 140 Huguenot Street, 3rd fl, New Rochelle, NY 10801 USA: Mary Ann Liebert, Inc. 2021, June.
  12. I. Kalamaras, A. Tsolakis, A. Chouliara, S. Krinidis, D. Tzovaras, "Optimal Recommendation Strategy Identification towards Energy Efficiency in Tertiary Buildings", 5th International Conference on Smart and Sustainable Technologies (SpliTech 2020), Bol, Croatia, 1-4 July, 2020.
  13. I. Kalamaras, I. Xygonakis, K. Glykos, S. Ak-selsen, A. Munch-Ellingsen, H. Thanh Nguyen, A. Jacobsen Lep-perod, K. Bach, K. Votis, D. Tzovaras, "Visual analytics for exploring air quality data in an AI-enhanced IoT environment", In 11th International Conference on Management of Digital EcoSystems (MEDES ’19), November 12–14, 2019, Limassol, Cyprus.ACM, New York, NY,USA, 8 pages. https://doi.org/10.1145/3297662.3365816
  14. S. Akselsen, P.E. Aurdal, K. Bach, J.P. Costeira, I. Kalamaras, A.J. Lepperød, P. Lima, I. Martinkenaite, O.J. Mengshoel, A. Munch-Ellingsen, H.T. Nguyen, "On the need for explanations, visualisations and measurements in data-driven air quality monitoring and forecasting", In 1st International Workshop on Evaluation and Benchmarking of Human-Centered AI Systems (EBHAIS-2019).
  15. E. Polychronidou, I. Kalamaras, K. Votis, D. Tzovaras, "Health Vision: An interactive web based platform for healthcare data analysis and visualisation", In July 2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) (pp. 1-8). IEEE.
  16. M. Tsipouras, N. Giannakeas, T. Tegou, I. Kalamaras, K. Votis, D. Tzovaras, "Assessing the Frailty of Older People using Bluetooth Beacons Data", In October 2018 14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) (pp. 5-11). IEEE.
  17. T. Tegou, I. Kalamaras, K. Votis, D. Tzovaras, "A low-cost room-level indoor localization system with easy setup for medical applications", In September 2018 11th IFIP Wireless and Mobile Networking Conference (WMNC) (pp. 1-7). IEEE.
  18. E. Polychronidou, I. Kalamaras, K. Votis, D. Tzovaras, "Towards visualizing primary Sjögren’s Syndrome data from heterogeneous cohorts", 10th Hellenic Conference on Artificial Intelligence (SETN2018), Patras, Greece, Jul. 2018.
  19. I. Kalamaras, A. Drosou, K. Votis, D. Kehagias, D. Tzovaras, "A multi-objective data mining approach for road traffic prediction", 14th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2018), Rhodes, Greece, May 2018.
  20. I. Kalamaras, N. Kaklanis, K. Votis, D. Tzovaras, "Towards Big Data Analytics in Large-scale Federations of Semantically Heterogeneous IoT Platforms", Semantics in the Deep: International Workshop on Semantic Analytics for Big Data (SEDSEAL 2018), 14th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2018), Rhodes, Greece, May 2018.
  21. St. Papadopoulos, A. Drosou, I. Kalamaras, D. Tzovaras, "Behavioural Network Traffic Analytics for Securing 5G Networks", IEEE International Conference on Communications (ICC), 5th International Workshop on 5G Architecture (5GARCH), Kansas City, USA, May 2018.
  22. I. Kalamaras, A. Drosou, D. Tzovaras, "A Consistency-based Multimodal Graph Embedding Method for Dimensionality Reduction", IEEE International Conference on Data Science and Advanced Analytics (DSAA2017), Tokyo, Japan, Oct. 2017, pp. 351-360. doi: 10.1109/DSAA.2017.4
  23. K. Mochament, A. Agathangelidis, E. Polychronidou, I. Kalamaras, P. Moschonas, C. Palaskas, K. Stamatopoulos, A. Chailyan, N. Overby, P. Marcatili, A. Hadzidimitriou, D. Tzovaras, "3D protein-structure-oriented discovery of clinical relations across Chronic Lymphocytic Leukemia patients", In 5th International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO), Granada, Spain, Apr. 2017.
  24. D. Kalatzis, K. Kotta, I. Kalamaras, V. Douka, A. Rawstron, A. Anagnostopoulos, D. Tzovaras, K. Stamatopoulos, "Probabilistic models for automated flow cytometric analysis of minimal residual disease in chronic lymphocytic leukemia", ESCCA 2017.
  25. P. Moschonas, I. Kalamaras, St. Papadopoulos, A. Drosou, K. Votis, S. Bostantjopoulou, Z. Katsarou, C. Papaxanthis, V. Hatzitaki, D. Tzovaras, "Discovering the Discriminating Power in Patient Test Features using Visual Analytics: A Case Study in Parkinson's Disease", Workshop on New Methods and Tools for Big Data, 12th IFIP International Conference on Artificial Intelligence Applications and Innovations, AIAI 2016, vol. 475, pp. 600-610, Thessaloniki, Greece, 16 Sep. 2016.
  26. I. Kalamaras, St. Papadopoulos, A. Drosou, D. Tzovaras, "MoVA: A Visual Analytics tool providing insight in the Big Mobile Network Data", The 11th International Conference on Artificial Intelligence Applications and Innovations (AIAI'15), Bayonne/Biarritz, France, 14-17 Sep. 2015, doi:10.1007/978-3-319-23868-5_27.
  27. I. Kalamaras, A. Drosou, D. Tzovaras, "A multi-objective approach for the clustering of abnormal behaviours in mobile networks", 2015 IEEE International Conference in Communications Workshop (ICCW), London, UK, Jun. 2015, pp.1491-1496, doi:10.1109/ICCW.2015.7247390.
  28. I. Kalamaras, A. Mademlis, S. Malassiotis, D. Tzovaras, "A novel framework for multimodal retrieval and visualization of multimedia data", 13th IASTED International Conference on Computer Graphics and Imaging (CGIM 2012), Crete, Greece, 18-20 Jun. 2012.
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