COVID-19 detection from chest X-Ray images using Deep Learning and Convolutional Neural Networks A Makris, I Kontopoulos, K Tserpes 11th hellenic conference on artificial intelligence, 60-66, 2020 | 165 | 2020 |
A classification of NoSQL data stores based on key design characteristics A Makris, K Tserpes, V Andronikou, D Anagnostopoulos Procedia Computer Science 97, 94-103, 2016 | 84 | 2016 |
MongoDB Vs PostgreSQL: A comparative study on performance aspects A Makris, K Tserpes, G Spiliopoulos, D Zissis, D Anagnostopoulos GeoInformatica 25, 243-268, 2021 | 78 | 2021 |
Performance Evaluation of MongoDB and PostgreSQL for Spatio-temporal Data. A Makris, K Tserpes, G Spiliopoulos, D Anagnostopoulos EDBT/ICDT Workshops, 2019 | 71 | 2019 |
Cloud-based xr services: A survey on relevant challenges and enabling technologies T Theodoropoulos, A Makris, A Boudi, T Taleb, U Herzog, L Rosa, ... Journal of Networking and Network Applications 2 (1), 1-22, 2022 | 41 | 2022 |
A deep learning streaming methodology for trajectory classification I Kontopoulos, A Makris, K Tserpes ISPRS International Journal of Geo-Information 10 (4), 250, 2021 | 38 | 2021 |
Security in Cloud-Native Services: A Survey T Theodoropoulos, L Rosa, C Benzaid, P Gray, E Marin, A Makris, ... Journal of Cybersecurity and Privacy 3 (4), 758-793, 2023 | 26 | 2023 |
A comparison of trajectory compression algorithms over AIS data A Makris, I Kontopoulos, P Alimisis, K Tserpes IEEE Access 9, 92516-92530, 2021 | 25 | 2021 |
Cloud for holography and augmented reality A Makris, A Boudi, M Coppola, L Cordeiro, M Corsini, P Dazzi, FD Andilla, ... 2021 IEEE 10th international conference on cloud networking (CloudNet), 118-126, 2021 | 23 | 2021 |
Evaluating the effect of compressing algorithms for trajectory similarity and classification problems A Makris, CL Silva, V Bogorny, LO Alvares, JA Macedo, K Tserpes GeoInformatica 25 (4), 679-711, 2021 | 22 | 2021 |
A computer vision approach for trajectory classification I Kontopoulos, A Makris, D Zissis, K Tserpes 2021 22nd IEEE International Conference on Mobile Data Management (MDM), 163-168, 2021 | 22 | 2021 |
Towards a distributed storage framework for edge computing infrastructures A Makris, E Psomakelis, T Theodoropoulos, K Tserpes Proceedings of the 2nd Workshop on Flexible Resource and Application …, 2022 | 19 | 2022 |
Graph neural networks for representing multivariate resource usage: A multiplayer mobile gaming case-study T Theodoropoulos, A Makris, I Kontopoulos, J Violos, P Tarkowski, ... International Journal of Information Management Data Insights 3 (1), 100158, 2023 | 17 | 2023 |
An automated pipeline for advanced fault tolerance in edge computing infrastructures T Theodoropoulos, A Makris, J Violos, K Tserpes Proceedings of the 2nd Workshop on Flexible Resource and Application …, 2022 | 16 | 2022 |
Transition from monolithic to microservice-based applications. Challenges from the developer perspective A Makris, K Tserpes, T Varvarigou Open Research Europe 2, 24, 2022 | 15 | 2022 |
Database system comparison based on spatiotemporal functionality A Makris, K Tserpes, D Anagnostopoulos, M Nikolaidou, JAF de Macedo Proceedings of the 23rd international database applications & engineering …, 2019 | 14 | 2019 |
Load balancing for minimizing the average response time of get operations in distributed key-value stores A Makris, K Tserpes, D Anagnostopoulos, J Altmann 2017 IEEE 14th International Conference on Networking, Sensing and Control …, 2017 | 14 | 2017 |
Performance analysis of storage systems in edge computing infrastructures A Makris, I Kontopoulos, E Psomakelis, SN Xyalis, T Theodoropoulos, ... Applied Sciences 12 (17), 8923, 2022 | 12 | 2022 |
COVID-19 detection from chest X-ray images using deep learning and convolutional neural networks. medRxiv (2020) A Makris, I Kontopoulos, K Tserpes Google Scholar, 2020 | 12* | 2020 |
GNOSIS: Proactive image placement using graph neural networks & deep reinforcement learning T Theodoropoulos, A Makris, E Psomakelis, E Carlini, M Mordacchini, ... 2023 IEEE 16th International Conference on Cloud Computing (CLOUD), 120-128, 2023 | 11 | 2023 |