| Predictive maintenance leveraging machine learning for time-series forecasting in the maritime industry G Makridis, D Kyriazis, S Plitsos 2020 IEEE 23rd international conference on intelligent transportation …, 2020 | 44 | 2020 |
| Transforming sentiment analysis in the financial domain with ChatGPT G Fatouros, J Soldatos, K Kouroumali, G Makridis, D Kyriazis Machine Learning with Applications 14, 100508, 2023 | 25 | 2023 |
| Deep learning enhancing banking services: a hybrid transaction classification and cash flow prediction approach D Kotios, G Makridis, G Fatouros, D Kyriazis Journal of big Data 9 (1), 100, 2022 | 14 | 2022 |
| DeepVaR: a framework for portfolio risk assessment leveraging probabilistic deep neural networks G Fatouros, G Makridis, D Kotios, J Soldatos, M Filippakis, D Kyriazis Digital finance 5 (1), 29-56, 2023 | 13 | 2023 |
| Enhanced food safety through deep learning for food recalls prediction G Makridis, P Mavrepis, D Kyriazis, I Polychronou, S Kaloudis Discovery Science: 23rd International Conference, DS 2020, Thessaloniki …, 2020 | 11 | 2020 |
| A deep learning approach using natural language processing and time-series forecasting towards enhanced food safety G Makridis, P Mavrepis, D Kyriazis Machine Learning 112 (4), 1287-1313, 2023 | 10 | 2023 |
| FAME: Federated Decentralized Trusted Data Marketplace for Embedded Finance A Mavrogiorgou, A Kiourtis, G Makridis, D Kotios, V Koukos, D Kyriazis, ... 2023 International Conference on Smart Applications, Communications and …, 2023 | 5 | 2023 |
| XAI enhancing cyber defence against adversarial attacks in industrial applications G Makridis, S Theodoropoulos, D Dardanis, I Makridis, MM Separdani, ... 2022 IEEE 5th International Conference on Image Processing Applications and …, 2022 | 5 | 2022 |
| Personalized finance management for smes D Kotios, G Makridis, S Walser, D Kyriazis, V Monferrino Big Data and Artificial Intelligence in Digital Finance. Springer, 215-232, 2022 | 5 | 2022 |
| Knowledge Graphs and interoperability techniques for hybrid-cloud deployment of FaaS applications G Fatouros, Y Poulakis, A Polyviou, S Tsarsitalidis, G Makridis, J Soldatos, ... 2022 IEEE International Conference on Cloud Computing Technology and Science …, 2022 | 4 | 2022 |
| Enhancing Smart Agriculture Scenarios with Low-code, Pattern-oriented functionalities for Cloud/Edge collaboration G Fatouros, G Kousiouris, T Lohier, G Makridis, A Polyviou, J Soldatos, ... 2023 19th International Conference on Distributed Computing in Smart Systems …, 2023 | 2 | 2023 |
| Evaluating machine learning techniques to define the factors related to boar taint G Makridis, E Heyrman, D Kotios, P Mavrepis, B Callens, R Van De Vijver, ... Livestock Science 264, 105045, 2022 | 2 | 2022 |
| MobiSpaces: An Architecture for Energy-Efficient Data Spaces for Mobility Data C Doulkeridis, GM Santipantakis, N Koutroumanis, G Makridis, V Koukos, ... 2023 IEEE International Conference on Big Data (BigData), 1487-1494, 2023 | 1 | 2023 |
| Enhancing Explainability in Mobility Data Science through a combination of methods G Makridis, V Koukos, G Fatouros, D Kyriazis arXiv preprint arXiv:2312.00380, 2023 | 1 | 2023 |
| Towards a unified multidimensional explainability metric: Evaluating trustworthiness in ai models G Makridis, G Fatouros, A Kiourtis, D Kotios, V Koukos, D Kyriazis, ... 2023 19th International Conference on Distributed Computing in Smart Systems …, 2023 | 1 | 2023 |
| XAI for time-series classification leveraging image highlight methods G Makridis, G Fatouros, V Koukos, D Kotios, D Kyriazis, J Soldatos International Conference on Management of Digital, 382-396, 2023 | 1 | 2023 |
| Addressing Risk Assessments in Real-Time for Forex Trading G Fatouros, G Makridis, J Soldatos, P Ristau, V Monferrino Big Data and Artificial Intelligence in Digital Finance, 159, 2022 | 1 | 2022 |
| Automated Stock Price Motion Prediction Using Technical Analysis Datasets and Machine Learning A Meliones, G Makrides Machine Learning Paradigms: Applications of Learning and Analytics in …, 2019 | 1 | 2019 |
| XAI for All: Can Large Language Models Simplify Explainable AI? P Mavrepis, G Makridis, G Fatouros, V Koukos, MM Separdani, D Kyriazis arXiv preprint arXiv:2401.13110, 2024 | | 2024 |
| Enhanced Runtime-Adaptable Routing for Serverless Functions based on Performance and Cost Tradeoffs in Hybrid Cloud Settings G Fatouros, G Kousiouris, G Makridis, J Soldatos, M Filippakis, D Kyriazis 2023 IEEE International Conference on Cloud Computing Technology and Science …, 2023 | | 2023 |
Dimosthenis KyriazisUniversity of PiraeusDirección de correo verificada de unipi.gr
