Thanasis Vafeiadis

According to our database, Thanasis Vafeiadis authored at least 29 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

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

Utilizing an adaptive window rolling median methodology for time series anomaly detection.

Dimitris Dimoudis, Thanasis Vafeiadis, Alexandros Nizamis, Dimosthenis Ioannidis, Dimitrios Tzovaras

Proceedings of the 4th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), 2023

A Holistic Framework for Production Scheduling in Industry 4.0.

Dimitris Dimoudis, Thanasis Vafeiadis, Alexandros Nizamis, Emma Musiari, Luca Ziliotti, Dimosthenis Ioannidis, Dimitrios Tzovaras

Proceedings of the 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, 2023

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

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

2021

Freight transportation route time prediction with ensemble learning techniques.

Panagiotis Valatsos, Thanasis Vafeiadis, Alexandros Nizamis, Dimosthenis Ioannidis, Dimitrios Tzovaras

Proceedings of the PCI 2021: 25th Pan-Hellenic Conference on Informatics, Volos, Greece, November 26, 2021

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

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

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

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

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

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

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

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

Proceedings of the IEEE International Symposium on INnovations in Intelligent SysTems and Applications, 2019

Anomaly Detection in Aluminium Production with Unsupervised Machine Learning Classifiers.

Nikolaos Kolokas, Thanasis Vafeiadis, Dimosthenis Ioannidis, Dimitrios Tzovaras

Proceedings of the IEEE International Symposium on INnovations in Intelligent SysTems and Applications, 2019

Occupancy Inference Through Energy Consumption Data: A Smart Home Experiment.

Adamantia Chouliara, Konstantinos Peppas, Apostolos C. Tsolakis, Thanasis Vafeiadis, Stelios Krinidis, Dimitrios Tzovaras

Proceedings of the Computer Vision Systems, 12th International Conference, 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

Proceedings of the 15th International Conference on Distributed Computing in Sensor Systems, 2019

Forecasting Bath and Metal Height Features in Electrolysis Process.

Achilleas Pasias, Thanasis Vafeiadis, Dimosthenis Ioannidis, Dimitrios Tzovaras

Proceedings of the 15th International Conference on Distributed Computing in Sensor Systems, 2019

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, Raouf Hamzaoui

Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

Forecasting faults of industrial equipment using machine learning classifiers.

Nikolaos Kolokas, Thanasis Vafeiadis, Dimosthenis Ioannidis, Dimitrios Tzovaras

Proceedings of the 2018 Innovations in Intelligent Systems and Applications, 2018

2017

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

Proceedings of the International Conference on Engineering, Technology and Innovation, 2017

2016

Robust malfunction diagnosis in process industry time series.

Thanasis Vafeiadis, Stelios Krinidis, Chrysovalantou Ziogou, Dimosthenis Ioannidis, Spyros Voutetakis, Dimitrios Tzovaras

Proceedings of the 14th IEEE International Conference on Industrial Informatics, 2016

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

Proceedings of the 24th European Signal Processing Conference, 2016

2015

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

2012

Real-time network data analysis using time series models.

Thanasis Vafeiadis, Alexandros Papanikolaou, Christos Ilioudis, Stefanos Charchalakis

Simul. Model. Pract. Theory, 2012

2011

Estimation of linear trend onset in time series.

Thanasis Vafeiadis, Efthimia Bora-Senta, Dimitris Kugiumtzis

Simul. Model. Pract. Theory, 2011

2008

Evaluation of Linear Trend Tests Using Resampling Techniques.

Thanasis Vafeiadis, Efthimia Bora-Senta, Dimitris Kugiumtzis

Commun. Stat. Simul. Comput., 2008