Journals

1. O. Manis, M. Skoumperdis, C. Kioroglou, D. Tzilopoulos, M. Ouzounis, M. Loufakis, N. Tsalikidis, N. Kolokas, P. Georgakis, I. Panagoulias, A. Tsolkas, D. Ioannidis, D. Tzovaras, M. Stankovski, "Data-Driven AI Models within a User-Defined Optimization Objective Function in Cement Production.", Sensors. 2024; 24(4):1225. https://doi.org/10.3390/s24041225
2. N. Kolokas, D. Ioannidis, D. Tzovaras, "DSF Core: Integrated Decision Support for Optimal Scheduling of Lifetime Extension Strategies forIndustrial Equipment.", Sensors, 23(3), 1332. (2023).
3. T. Vafeiadis, N. Kolokas, N. Dimitriou, A. Zacharaki, M. Yildirim, H. Selvi, D. Ioannidis, D. Tzovaras, "A comparison of 2DCNN network architectures and boosting techniques for regression-based textile whiteness estimation", Simulation Modelling Practice and Theory, 102400, 2021.
4. N. Kolokas, D. Ioannidis, D. Tzovaras, "Multi-Step Energy Demand and Generation Forecasting with Confidence Used for Specification-Free Aggregate Demand Optimization.", Energies, 14(11), p.3162. (2021)
5. A. Zacharaki, T. Vafeiadis, N. Kolokas, Y. Xu, M. Peschl, D. Ioannidis, D. Tzovaras, "RECLAIM: Towards new era of refurbishment and re-manufacturing of industrial equipment", Frontiers in Artificial Intelligence, AI in Business, 2020.
6. N. Kolokas, T. Vafeiadis, D. Ioannidis, D. Tzovaras, "A generic fault prognostics algorithm for manufacturing industries using unsupervised machine learning classifiers", Simulation Modelling Practise and Theory, vol. 103, 102109, 2020.
7. N. Kolokas, A. Drosou, D. Tzovaras, "Text Synthesis from Keywords - A Comparison of Recurrent-Neural-Network-based Architectures & Hybrid Approaches", D. Neural Comput & Applic (2019), 2019. https://doi.org/10.1007/s00521-019-04435-y

Conference

1. N. Kolokas, V. Tatsis, A. Zacharaki, D. Ioannidis, D. Tzovaras, "Improved Outlier Detection for Failure Forecasting using Anomaly Score Threshold Optimization and Ensemble Methods.", In 2024 International Conference on INnovations in Intelligent SysTems and Applications (INISTA) 2024 Sep 4 (pp. 1-6). IEEE.
2. M. Loufakis, O. Manis, C. Kioroglou, N. Kolokas, D. Ioannidis, D. Tzovaras, M. Stankovski, "Intelligent Model Management: Using Reinforcement Learning to Detect Data Drift and Retrain Industrial Machine Learning Systems.", In 2024 26th International Conference on Digital Signal Processing and its Applications (DSPA) 2024 Mar 27 (pp. 1-6). IEEE.
3. O. Manis, M. Skoumperdis, N. Kolokas, C. Kioroglou, I. Panagoulias, A. Tsolkas, D. Ioannidis, D. Tzovaras, "Optimization of manipulated cement mill variables using AI models.", In 2023 International Conference on Advanced Computing Technologies and Applications (ICACTA) Mumbai, India, 2023, pp. 1-6. DOI: 10.1109/ICACTA58201.2023.10393404
4. N. Kolokas, T. Vafeiadis, D. Ioannidis, D. Tzovaras, "Anomaly detection in aluminum production with unsupervised machine learning classifiers", International Symposium on INnovations in Intelligent SysTems and Applications, Sofia, Bulgaria, 3-5 July 2019.
5. N. Kolokas, S. Krinidis, A. Drosou, D. Ioannidis, D. Tzovaras, "Gait Matching by Mapping Wearable to Camera Privacy-Preserving Recordings: Experimental Comparison of Multiple Settings", in Proc. of the 6th IEEE Control, Decision & Information Technologies (CoDIT2019), P 2019. 10.1109/CoDIT.2019.8820339
6. N. Kolokas, T. Vafeiadis, D. Ioannidis, D. Tzovaras, "Forecasting faults of industrial equipment using machine learning techniques", 2018 IEEE International Conference on Innovations in Intelligent Systems and Applications (INISTA 2018), Thessaloniki, Greece, 2-5 Jul. 2018
7. N. Kolokas, A. Drosou, D. Tzovaras, "Keywords-To-Text Synthesis Using Recurrent Neural Network", 14th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2018), Rhodes, Greece, May 2018.