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Antonios Makris
Antonios Makris
National Technical University of Athens, School of Electrical and Computer Engineering
Verified email at mail.ntua.gr - Homepage
Title
Cited by
Cited by
Year
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
1652020
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
842016
MongoDB Vs PostgreSQL: A comparative study on performance aspects
A Makris, K Tserpes, G Spiliopoulos, D Zissis, D Anagnostopoulos
GeoInformatica 25, 243-268, 2021
782021
Performance Evaluation of MongoDB and PostgreSQL for Spatio-temporal Data.
A Makris, K Tserpes, G Spiliopoulos, D Anagnostopoulos
EDBT/ICDT Workshops, 2019
712019
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
412022
A deep learning streaming methodology for trajectory classification
I Kontopoulos, A Makris, K Tserpes
ISPRS International Journal of Geo-Information 10 (4), 250, 2021
382021
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
262023
A comparison of trajectory compression algorithms over AIS data
A Makris, I Kontopoulos, P Alimisis, K Tserpes
IEEE Access 9, 92516-92530, 2021
252021
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
232021
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
222021
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
222021
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
192022
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
172023
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
162022
Transition from monolithic to microservice-based applications. Challenges from the developer perspective
A Makris, K Tserpes, T Varvarigou
Open Research Europe 2, 24, 2022
152022
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
142019
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
142017
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
122022
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
112023
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