Enhanced Food Safety Through Deep Learning for Food Recalls Prediction. - Georgios Makridis; Philip Mavrepis; Dimosthenis Kyriazis; Ioanna Polychronou; Stathis Kaloudis (DS, 2020)

Predictive maintenance leveraging machine learning for time-series forecasting in the maritime industry. - Georgios Makridis; Dimosthenis Kyriazis; Stathis Plitsos (ITSC, 2020)

Knowledge Graphs and interoperability techniques for hybrid-cloud deployment of FaaS applications. - Georgios Fatouros; Yannis Poulakis; Ariana Polyviou; Stylianos Tsarsitalidis; Georgios Makridis; John Soldatos 001; George Kousiouris; Michael Filippakis; Dimosthenis Kyriazis (CloudCom, 2022)

XAI enhancing cyber defence against adversarial attacks in industrial applications. - Georgios Makridis; Spyros Theodoropoulos; Dimitrios Dardanis; Ioannis Makridis; Maria Margarita Separdani; Georgios Fatouros; Dimosthenis Kyriazis; Panagiotis Koulouris (IPAS, 2022)

Deep learning enhancing banking services: a hybrid transaction classification and cash flow prediction approach. - Dimitrios Kotios; Georgios Makridis; Georgios Fatouros; Dimosthenis Kyriazis (J. Big Data, 2022)

Enhanced Runtime-Adaptable Routing for Serverless Functions based on Performance and Cost Tradeoffs in Hybrid Cloud Settings. - Georgios Fatouros; George Kousiouris; Georgios Makridis; John Soldatos 001; Michael Filippakis; Dimosthenis Kyriazis (CloudCom, 2023)

Enhancing Smart Agriculture Scenarios with Low-code, Pattern-oriented functionalities for Cloud/Edge collaboration. - Georgios Fatouros; George Kousiouris; Théophile Lohier; Georgios Makridis; Ariana Polyviou; John Soldatos 001; Dimosthenis Kyriazis (DCOSS-IoT, 2023)

Comprehensive Architecture for Data Quality Assessment in Industrial IoT. - Georgios Fatouros; Georgios Makridis; Argyro Mavrogiorgou; John Soldatos 001; Michael Filippakis; Dimosthenis Kyriazis (DCOSS-IoT, 2023)

Data Marketplaces: Best Practices, Challenges, and Advancements for Embedded Finance. - Athanasios Kiourtis; Argyro Mavrogiorgou; Georgios Makridis; Georgios Fatouros; John Soldatos 001; Dimosthenis Kyriazis (DCOSS-IoT, 2023)

Towards a Unified Multidimensional Explainability Metric: Evaluating Trustworthiness in AI Models. - Georgios Makridis; Georgios Fatouros; Athanasios Kiourtis; Dimitrios Kotios; Vasileios Koukos; Dimosthenis Kyriazis; John Soldatos 001 (DCOSS-IoT, 2023)

XAI for Time-Series Classification Leveraging Image Highlight Methods. - Georgios Makridis; Georgios Fatouros; Vasileios Koukos; Dimitrios Kotios; Dimosthenis Kyriazis; John Soldatos 001 (MEDES, 2023)

FAME: Federated Decentralized Trusted Data Marketplace for Embedded Finance. - Argyro Mavrogiorgou; Athanasios Kiourtis; Georgios Makridis; Dimitrios Kotios; Vasileios Koukos; Dimosthenis Kyriazis; John Soldatos 001; Georgios Fatouros; Dimitrios Drakoulis; Pedro Maló; Martin Serrano; Mauro Isaja; et al. (SmartNets, 2023)

Transforming Sentiment Analysis in the Financial Domain with ChatGPT. - Georgios Fatouros; John Soldatos 001; Kalliopi Kouroumali; Georgios Makridis; Dimosthenis Kyriazis (CoRR, 2023)

XAI for time-series classification leveraging image highlight methods. - Georgios Makridis; Georgios Fatouros; Vasileios Koukos; Dimitrios Kotios; Dimosthenis Kyriazis; Ioannis Soldatos (CoRR, 2023)

Enhancing Explainability in Mobility Data Science through a combination of methods. - Georgios Makridis; Vasileios Koukos; Georgios Fatouros; Dimosthenis Kyriazis (CoRR, 2023)

A deep learning approach using natural language processing and time-series forecasting towards enhanced food safety. - Georgios Makridis; Philip Mavrepis; Dimosthenis Kyriazis (Mach. Learn., 2023)

Robust Novel Defect Detection with Neurosymbolic AI. - Spyros Theodoropoulos; Georgios Makridis; Dimosthenis Kyriazis; Panayiotis Tsanakas (APMS (5), 2024)

Enhancing Explainability in Mobility Data Science Through a Combination of Methods. - Georgios Makridis; Vasileios Koukos; Georgios Fatouros; Maria Margarita Separdani; Dimosthenis Kyriazis (SAI (3), 2024)

The MobiSpaces Manifesto on Mobility Data Spaces. - Christos Doulkeridis; Ioannis Chrysakis; Sophia Karagiorgou; Pavlos Kranas; Georgios Makridis; Yannis Theodoridis (eSAAM, 2024)

XAI for All: Can Large Language Models Simplify Explainable AI? - Philip Mavrepis; Georgios Makridis; Georgios Fatouros; Vasileios Koukos; Maria Margarita Separdani; Dimosthenis Kyriazis (CoRR, 2024)

FairyLandAI: Personalized Fairy Tales utilizing ChatGPT and DALLE-3. - Georgios Makridis; Athanasios Oikonomou; Vasileios Koukos (CoRR, 2024)

XR5.0: Human-Centric AI-Enabled Extended Reality Applications for the Industry 5.0 Era. - John Soldatos 001; Georgios Makridis; Fotis Liarokapis (ERCIM News, 2024)

A NeuroSymbolic Human-in-the-Loop Approach Towards Fusing Medical Expert Knowledge with ANNs. - Spyros Theodoropoulos; Georgios Makridis; Aristodemos Pnevmatikakis; Vrettos Moulos; Dimosthenis Kyriazis; Panayiotis Tsanakas (AIAI Workshops (2), 2025)

VirtualXAI: A User-Centric Framework for Explainability Assessment Leveraging GPT-Generated Personas. - Georgios Makridis; Vasileios Koukos; Georgios Fatouros; Dimosthenis Kyriazis (CoRR, 2025)

Bridging Industrial Expertise and XR with LLM-Powered Conversational Agents. - Despina Tomkou; George Fatouros; Andreas Andreou; Georgios Makridis; Fotis Liarokapis; Dimitrios Dardanis; Athanasios Kiourtis; John Soldatos 001; Dimosthenis Kyriazis (CoRR, 2025)

Towards Conversational AI for Human-Machine Collaborative MLOps. - George Fatouros; Georgios Makridis; George Kousiouris; John Soldatos 001; Anargyros Tsadimas; Dimosthenis Kyriazis (CoRR, 2025)

Enhancing robustness to novel visual defects through StyleGAN latent space navigation: a manufacturing use case. - Spyros Theodoropoulos; Dimitrios Dardanis; Georgios Makridis; Patrik Zajec; Joze M. Rozanec; Dimosthenis Kyriazis; Panayiotis Tsanakas (J. Intell. Manuf., 2025)