Evaluation of Linear Trend Tests Using Resampling Techniques. - Thanasis Vafeiadis; Efthimia Bora-Senta; Dimitris Kugiumtzis (Commun. Stat. Simul. Comput., 2008)

Estimation of linear trend onset in time series. - Thanasis Vafeiadis; Efthimia Bora-Senta; Dimitris Kugiumtzis (Simul. Model. Pract. Theory, 2011)

Real-time network data analysis using time series models. - Thanasis Vafeiadis; Alexandros Papanikolaou; Christos Ilioudis; Stefanos Charchalakis (Simul. Model. Pract. Theory, 2012)

A comparison of machine learning techniques for customer churn prediction. - Thanasis Vafeiadis; Konstantinos I. Diamantaras; George Sarigiannidis; Konstantinos Ch. Chatzisavvas (Simul. Model. Pract. Theory, 2015)

Real-time incident detection: An approach for two interdependent time series. - Thanasis Vafeiadis; Dimosthenis Ioannidis; Stelios Krinidis; Chrysovalantou Ziogou; Spyros Voutetakis; Dimitrios Tzovaras; Spiridon D. Likothanassis (EUSIPCO, 2016)

Robust malfunction diagnosis in process industry time series. - Thanasis Vafeiadis; Stelios Krinidis; Chrysovalantou Ziogou; Dimosthenis Ioannidis; Spyros Voutetakis; Dimitrios Tzovaras (INDIN, 2016)

Malfunction diagnosis in industrial process systems using data mining for knowledge discovery. - Evdoxia Eirini Lithoxoidou; Thanasis Vafeiadis; Stelios Krinidis; Dimosthenis Ioannidis; Dimitrios Tzovaras; Chrysovalantou Ziogou; Spyros Voutetakis (ICE/ITMC, 2017)

Forecasting faults of industrial equipment using machine learning classifiers. - Nikolaos Kolokas; Thanasis Vafeiadis; Dimosthenis Ioannidis; Dimitrios Tzovaras (INISTA, 2018)

Energy-based decision engine for household human activity recognition. - Anastasios Vafeiadis; Thanasis Vafeiadis; Stelios Zikos; Stelios Krinidis; Konstantinos Votis; Dimitrios Giakoumis; Dimosthenis Ioannidis; Dimitrios Tzovaras; Liming Chen 001; Raouf Hamzaoui (PerCom Workshops, 2018)

Forecasting Bath and Metal Height Features in Electrolysis Process. - Achilleas Pasias; Thanasis Vafeiadis; Dimosthenis Ioannidis; Dimitrios Tzovaras (DCOSS, 2019)

Data Analytics Platform for the Optimization of Waste Management Procedures. - Thanasis Vafeiadis; Alexandros Nizamis; Vissarion Pavlopoulos; Luigi Giugliano; Vaia Rousopoulou; Dimosthenis Ioannidis; Dimitrios Tzovaras (DCOSS, 2019)

Occupancy Inference Through Energy Consumption Data: A Smart Home Experiment. - Adamantia Chouliara; Konstantinos Peppas 002; Apostolos C. Tsolakis; Thanasis Vafeiadis; Stelios Krinidis; Dimitrios Tzovaras (ICVS, 2019)

Anomaly Detection in Aluminium Production with Unsupervised Machine Learning Classifiers. - Nikolaos Kolokas; Thanasis Vafeiadis; Dimosthenis Ioannidis; Dimitrios Tzovaras (INISTA, 2019)

Intelligent Information Management System for Decision Support: Application in a Lift Manufacturer's Shop Floor. - Thanasis Vafeiadis; Alexandros Nizamis; Konstantinos Apostolou; Vasiliki Charisi; Ifigeneia N. Metaxa; Theofilos Mastos; Dimosthenis Ioannidis; Angelos Papadopoulos; Dimitrios Tzovaras (INISTA, 2019)

Towards the behavior analysis of chemical reactors utilizing data-driven trend analysis and machine learning techniques. - Evdoxia Eirini Lithoxoidou; Chrysovalantou Ziogou; Thanasis Vafeiadis; Stelios Krinidis; Dimosthenis Ioannidis; Spyros Voutetakis; Dimitrios Tzovaras (Appl. Soft Comput., 2020)

Fault Diagnosis in Microelectronics Attachment via Deep Learning Analysis of 3D Laser Scans. - Nikolaos Dimitriou; Lampros Leontaris; Thanasis Vafeiadis; Dimosthenis Ioannidis; Tracy Wotherspoon; Gregory Tinker; Dimitrios Tzovaras (CoRR, 2020)

Predictive Maintenance for Injection Molding Machines Enabled by Cognitive Analytics for Industry 4.0. - Vaia Rousopoulou; Alexandros Nizamis; Thanasis Vafeiadis; Dimosthenis Ioannidis; Dimitrios Tzovaras (Frontiers Artif. Intell., 2020)

RECLAIM: Toward a New Era of Refurbishment and Remanufacturing of Industrial Equipment. - Angeliki Zacharaki; Thanasis Vafeiadis; Nikolaos Kolokas; Aikaterini Vaxevani; Yuchun Xu; Michael Peschl; Dimosthenis Ioannidis; Dimitrios Tzovaras (Frontiers Artif. Intell., 2020)

A Deep Learning framework for simulation and defect prediction applied in microelectronics. - Nikolaos Dimitriou; Lampros Leontaris; Thanasis Vafeiadis; Dimosthenis Ioannidis; Tracy Wotherspoon; Gregory Tinker; Dimitrios Tzovaras (Simul. Model. Pract. Theory, 2020)

A generic fault prognostics algorithm for manufacturing industries using unsupervised machine learning classifiers. - Nikolaos Kolokas; Thanasis Vafeiadis; Dimosthenis Ioannidis; Dimitrios Tzovaras (Simul. Model. Pract. Theory, 2020)

Fault Diagnosis in Microelectronics Attachment Via Deep Learning Analysis of 3-D Laser Scans. - Nikolaos Dimitriou; Lampros Leontaris; Thanasis Vafeiadis; Dimosthenis Ioannidis; Tracy Wotherspoon; Gregory Tinker; Dimitrios Tzovaras (IEEE Trans. Ind. Electron., 2020)

Freight transportation route time prediction with ensemble learning techniques. - Panagiotis Valatsos; Thanasis Vafeiadis; Alexandros Nizamis; Dimosthenis Ioannidis; Dimitrios Tzovaras (PCI, 2021)

Utilizing an adaptive window rolling median methodology for time series anomaly detection. - Dimitris Dimoudis; Thanasis Vafeiadis; Alexandros Nizamis; Dimosthenis Ioannidis; Dimitrios Tzovaras (ISM, 2022)

Cognitive analytics platform with AI solutions for anomaly detection. - Vaia Rousopoulou; Thanasis Vafeiadis; Alexandros Nizamis; Ioannis Iakovidis; Leonidas Samaras; Alkis Kirtsoglou; Konstantinos Georgiadis; Dimosthenis Ioannidis; Dimitrios Tzovaras (Comput. Ind., 2022)

A comparison of 2DCNN network architectures and boosting techniques for regression-based textile whiteness estimation. - Thanasis Vafeiadis; Nikolaos Kolokas; Nikolaos Dimitriou; Angeliki Zacharaki; Murat Yildirim; Habibe Gülben Selvi; Dimosthenis Ioannidis; Dimitrios Tzovaras (Simul. Model. Pract. Theory, 2022)

A Holistic Framework for Production Scheduling in Industry 4.0. - Dimitris Dimoudis; Thanasis Vafeiadis; Alexandros Nizamis; Emma Musiari; Luca Ziliotti; Dimosthenis Ioannidis; Dimitrios Tzovaras (DCOSS-IoT, 2023)

Utilizing machine learning on freight transportation and logistics applications: A review. - Kalliopi Tsolaki; Thanasis Vafeiadis; Alexandros Nizamis; Dimosthenis Ioannidis; Dimitrios Tzovaras (ICT Express, 2023)

Revolutionizing defect recognition in hard metal industry through AI explainability, human-in-the-loop approaches and cognitive mechanisms. - Thanasis Kotsiopoulos; Gerasimos Papakostas; Thanasis Vafeiadis; Vasileios Dimitriadis; Alexandros Nizamis; Andrea Bolzoni; Davide Bellinati; Dimosthenis Ioannidis; Konstantinos Votis; Dimitrios Tzovaras; Panagiotis G. Sarigiannidis (Expert Syst. Appl., 2024)

Interpretability of deep neural networks: A review of methods, classification and hardware. - Thanasis Antamis; Anastasios Drosou; Thanasis Vafeiadis; Alexandros Nizamis; Dimosthenis Ioannidis; Dimitrios Tzovaras (Neurocomputing, 2024)

AI-Assisted Gamification Platform for Smart City Food Waste Management. - Anastasia Tsita; Stylianos Eleftheriadis; Thanasis Vafeiadis; Dimosthenis Ioannidis; Dimitrios Tzovaras (IUI Companion, 2025)

Enhancing transparency and trust in AI-powered manufacturing: A survey of explainable AI (XAI) applications in smart manufacturing in the era of industry 4.0/5.0. - Konstantinos Nikiforidis; Alkiviadis Kyrtsoglou; Thanasis Vafeiadis; Thanasis Kotsiopoulos; Alexandros Nizamis; Dimosthenis Ioannidis; Konstantinos Votis; Dimitrios Tzovaras; Panagiotis G. Sarigiannidis (ICT Express, 2025)