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Georgios Makridis
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2020 – today
- 2024
- [c13]Spyros Theodoropoulos, Georgios Makridis, Dimosthenis Kyriazis, Panayiotis Tsanakas:
Robust Novel Defect Detection with Neurosymbolic AI. APMS (5) 2024: 381-396 - [c12]Christos Doulkeridis, Ioannis Chrysakis, Sophia Karagiorgou, Pavlos Kranas, Georgios Makridis, Yannis Theodoridis:
The MobiSpaces Manifesto on Mobility Data Spaces. eSAAM 2024: 66-75 - [i6]Philip Mavrepis, Georgios Makridis, Georgios Fatouros, Vasileios Koukos, Maria Margarita Separdani, Dimosthenis Kyriazis:
XAI for All: Can Large Language Models Simplify Explainable AI? CoRR abs/2401.13110 (2024) - [i5]Georgios Makridis, Athanasios Oikonomou, Vasileios Koukos:
FairyLandAI: Personalized Fairy Tales utilizing ChatGPT and DALLE-3. CoRR abs/2407.09467 (2024) - [i4]John Soldatos, Georgios Makridis, Fotis Liarokapis:
XR5.0: Human-Centric AI-Enabled Extended Reality Applications for the Industry 5.0 Era. ERCIM News 2024(137) (2024) - 2023
- [j2]Georgios Makridis, Philip Mavrepis, Dimosthenis Kyriazis:
A deep learning approach using natural language processing and time-series forecasting towards enhanced food safety. Mach. Learn. 112(4): 1287-1313 (2023) - [c11]Georgios Fatouros, George Kousiouris, Georgios Makridis, John Soldatos, Michael Filippakis, Dimosthenis Kyriazis:
Enhanced Runtime-Adaptable Routing for Serverless Functions based on Performance and Cost Tradeoffs in Hybrid Cloud Settings. CloudCom 2023: 177-184 - [c10]Georgios Fatouros, George Kousiouris, Théophile Lohier, Georgios Makridis, Ariana Polyviou, John Soldatos, Dimosthenis Kyriazis:
Enhancing Smart Agriculture Scenarios with Low-code, Pattern-oriented functionalities for Cloud/Edge collaboration. DCOSS-IoT 2023: 285-292 - [c9]Georgios Makridis, Georgios Fatouros, Athanasios Kiourtis, Dimitrios Kotios, Vasileios Koukos, Dimosthenis Kyriazis, John Soldatos:
Towards a Unified Multidimensional Explainability Metric: Evaluating Trustworthiness in AI Models. DCOSS-IoT 2023: 504-511 - [c8]Georgios Fatouros, Georgios Makridis, Argyro Mavrogiorgou, John Soldatos, Michael Filippakis, Dimosthenis Kyriazis:
Comprehensive Architecture for Data Quality Assessment in Industrial IoT. DCOSS-IoT 2023: 512-517 - [c7]Athanasios Kiourtis, Argyro Mavrogiorgou, Georgios Makridis, Georgios Fatouros, John Soldatos, Dimosthenis Kyriazis:
Data Marketplaces: Best Practices, Challenges, and Advancements for Embedded Finance. DCOSS-IoT 2023: 533-540 - [c6]Georgios Makridis, Georgios Fatouros, Vasileios Koukos, Dimitrios Kotios, Dimosthenis Kyriazis, John Soldatos:
XAI for Time-Series Classification Leveraging Image Highlight Methods. MEDES 2023: 382-396 - [c5]Argyro Mavrogiorgou, Athanasios Kiourtis, Georgios Makridis, Dimitrios Kotios, Vasileios Koukos, Dimosthenis Kyriazis, John Soldatos, Georgios Fatouros, Dimitrios Drakoulis, Pedro Maló, Martin Serrano, Mauro Isaja, Raquel Lazcano, Juan Manuel Vera, Fabiana Fournier, Lior Limonad, Konstantinos Perakis, Dimitrios Miltiadou, Pavlos Kranas, Alper Sen, Irene Zattarin, Ernesto Troiano:
FAME: Federated Decentralized Trusted Data Marketplace for Embedded Finance. SmartNets 2023: 1-6 - [i3]Georgios Fatouros, John Soldatos, Kalliopi Kouroumali, Georgios Makridis, Dimosthenis Kyriazis:
Transforming Sentiment Analysis in the Financial Domain with ChatGPT. CoRR abs/2308.07935 (2023) - [i2]Georgios Makridis, Georgios Fatouros, Vasileios Koukos, Dimitrios Kotios, Dimosthenis Kyriazis, Ioannis Soldatos:
XAI for time-series classification leveraging image highlight methods. CoRR abs/2311.17110 (2023) - [i1]Georgios Makridis, Vasileios Koukos, Georgios Fatouros, Dimosthenis Kyriazis:
Enhancing Explainability in Mobility Data Science through a combination of methods. CoRR abs/2312.00380 (2023) - 2022
- [j1]Dimitrios Kotios, Georgios Makridis, Georgios Fatouros, Dimosthenis Kyriazis:
Deep learning enhancing banking services: a hybrid transaction classification and cash flow prediction approach. J. Big Data 9(1): 100 (2022) - [c4]Georgios Fatouros, Yannis Poulakis, Ariana Polyviou, Stylianos Tsarsitalidis, Georgios Makridis, John Soldatos, George Kousiouris, Michael Filippakis, Dimosthenis Kyriazis:
Knowledge Graphs and interoperability techniques for hybrid-cloud deployment of FaaS applications. CloudCom 2022: 91-96 - [c3]Georgios Makridis, Spyros Theodoropoulos, Dimitrios Dardanis, Ioannis Makridis, Maria Margarita Separdani, Georgios Fatouros, Dimosthenis Kyriazis, Panagiotis Koulouris:
XAI enhancing cyber defence against adversarial attacks in industrial applications. IPAS 2022: 1-8 - 2020
- [c2]Georgios Makridis, Philip Mavrepis, Dimosthenis Kyriazis, Ioanna Polychronou, Stathis Kaloudis:
Enhanced Food Safety Through Deep Learning for Food Recalls Prediction. DS 2020: 566-580 - [c1]Georgios Makridis, Dimosthenis Kyriazis, Stathis Plitsos:
Predictive maintenance leveraging machine learning for time-series forecasting in the maritime industry. ITSC 2020: 1-8
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