Thanasis Vafeiadis

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 26

Top Topics

Machine Learning

Behavior Analysis

Human Activity Recognition

Anomaly Detection

Top Venues

Simul. Model. Pract. Theory

Frontiers Artif. Intell.

Publications

Thanasis Antamis, Anastasios Drosou, Thanasis Vafeiadis, Alexandros Nizamis, Dimosthenis Ioannidis, Dimitrios Tzovaras
Interpretability of deep neural networks: A review of methods, classification and hardware. Neurocomputing 601 (2024)
Thanasis Kotsiopoulos, Gerasimos Papakostas, Thanasis Vafeiadis, Vasileios Dimitriadis, Alexandros Nizamis, Andrea Bolzoni, Davide Bellinati, Dimosthenis Ioannidis, Konstantinos Votis, Dimitrios Tzovaras, Panagiotis G. Sarigiannidis
Revolutionizing defect recognition in hard metal industry through AI explainability, human-in-the-loop approaches and cognitive mechanisms. Expert Syst. Appl. 255 (2024)
Kalliopi Tsolaki, Thanasis Vafeiadis, Alexandros Nizamis, Dimosthenis Ioannidis, Dimitrios Tzovaras
Utilizing machine learning on freight transportation and logistics applications: A review. ICT Express 9 (3) (2023)
Dimitris Dimoudis, Thanasis Vafeiadis, Alexandros Nizamis, Dimosthenis Ioannidis, Dimitrios Tzovaras
Utilizing an adaptive window rolling median methodology for time series anomaly detection. ISM (2023)
Dimitris Dimoudis, Thanasis Vafeiadis, Alexandros Nizamis, Emma Musiari, Luca Ziliotti, Dimosthenis Ioannidis, Dimitrios Tzovaras
A Holistic Framework for Production Scheduling in Industry 4.0. DCOSS-IoT (2023)
Vaia Rousopoulou, Thanasis Vafeiadis, Alexandros Nizamis, Ioannis Iakovidis, Leonidas Samaras, Alkis Kirtsoglou, Konstantinos Georgiadis, Dimosthenis Ioannidis, Dimitrios Tzovaras
Cognitive analytics platform with AI solutions for anomaly detection. Comput. Ind. 134 (2022)
Thanasis Vafeiadis, Nikolaos Kolokas, Nikolaos Dimitriou, Angeliki Zacharaki, Murat Yildirim, Habibe Gülben Selvi, Dimosthenis Ioannidis, Dimitrios Tzovaras
A comparison of 2DCNN network architectures and boosting techniques for regression-based textile whiteness estimation. Simul. Model. Pract. Theory 114 (2022)
Panagiotis Valatsos, Thanasis Vafeiadis, Alexandros Nizamis, Dimosthenis Ioannidis, Dimitrios Tzovaras
Freight transportation route time prediction with ensemble learning techniques. PCI (2021)
Nikolaos Dimitriou, Lampros Leontaris, Thanasis Vafeiadis, Dimosthenis Ioannidis, Tracy Wotherspoon, Gregory Tinker, Dimitrios Tzovaras
A Deep Learning Framework for Simulation and Defect Prediction Applied in Microelectronics. CoRR (2020)
Nikolaos Dimitriou, Lampros Leontaris, Thanasis Vafeiadis, Dimosthenis Ioannidis, Tracy Wotherspoon, Gregory Tinker, Dimitrios Tzovaras
Fault Diagnosis in Microelectronics Attachment Via Deep Learning Analysis of 3-D Laser Scans. IEEE Trans. Ind. Electron. 67 (7) (2020)
Nikolaos Dimitriou, Lampros Leontaris, Thanasis Vafeiadis, Dimosthenis Ioannidis, Tracy Wotherspoon, Gregory Tinker, Dimitrios Tzovaras
A Deep Learning framework for simulation and defect prediction applied in microelectronics. Simul. Model. Pract. Theory 100 (2020)
Vaia Rousopoulou, Alexandros Nizamis, Thanasis Vafeiadis, Dimosthenis Ioannidis, Dimitrios Tzovaras
Predictive Maintenance for Injection Molding Machines Enabled by Cognitive Analytics for Industry 4.0. Frontiers Artif. Intell. 3 (2020)
Nikolaos Kolokas, Thanasis Vafeiadis, Dimosthenis Ioannidis, Dimitrios Tzovaras
A generic fault prognostics algorithm for manufacturing industries using unsupervised machine learning classifiers. Simul. Model. Pract. Theory 103 (2020)
Angeliki Zacharaki, Thanasis Vafeiadis, Nikolaos Kolokas, Aikaterini Vaxevani, Yuchun Xu, Michael Peschl, Dimosthenis Ioannidis, Dimitrios Tzovaras
RECLAIM: Toward a New Era of Refurbishment and Remanufacturing of Industrial Equipment. Frontiers Artif. Intell. 3 (2020)
Nikolaos Dimitriou, Lampros Leontaris, Thanasis Vafeiadis, Dimosthenis Ioannidis, Tracy Wotherspoon, Gregory Tinker, Dimitrios Tzovaras
Fault Diagnosis in Microelectronics Attachment via Deep Learning Analysis of 3D Laser Scans. CoRR (2020)
Evdoxia Eirini Lithoxoidou, Chrysovalantou Ziogou, Thanasis Vafeiadis, Stelios Krinidis, Dimosthenis Ioannidis, Spyros Voutetakis, Dimitrios Tzovaras
Towards the behavior analysis of chemical reactors utilizing data-driven trend analysis and machine learning techniques. Appl. Soft Comput. 94 (2020)
Thanasis Vafeiadis, Alexandros Nizamis, Konstantinos Apostolou, Vasiliki Charisi, Ifigeneia N. Metaxa, Theofilos Mastos, Dimosthenis Ioannidis, Angelos Papadopoulos, Dimitrios Tzovaras
Intelligent Information Management System for Decision Support: Application in a Lift Manufacturer's Shop Floor. INISTA (2019)
Nikolaos Kolokas, Thanasis Vafeiadis, Dimosthenis Ioannidis, Dimitrios Tzovaras
Anomaly Detection in Aluminium Production with Unsupervised Machine Learning Classifiers. INISTA (2019)
Adamantia Chouliara, Konstantinos Peppas, Apostolos C. Tsolakis, Thanasis Vafeiadis, Stelios Krinidis, Dimitrios Tzovaras
Occupancy Inference Through Energy Consumption Data: A Smart Home Experiment. ICVS (2019)
Thanasis Vafeiadis, Alexandros Nizamis, Vissarion Pavlopoulos, Luigi Giugliano, Vaia Rousopoulou, Dimosthenis Ioannidis, Dimitrios Tzovaras
Data Analytics Platform for the Optimization of Waste Management Procedures. DCOSS (2019)
Achilleas Pasias, Thanasis Vafeiadis, Dimosthenis Ioannidis, Dimitrios Tzovaras
Forecasting Bath and Metal Height Features in Electrolysis Process. DCOSS (2019)
Nikolaos Kolokas, Thanasis Vafeiadis, Dimosthenis Ioannidis, Dimitrios Tzovaras
Forecasting faults of industrial equipment using machine learning classifiers. INISTA (2018)
Anastasios Vafeiadis, Thanasis Vafeiadis, Stelios Zikos, Stelios Krinidis, Konstantinos Votis, Dimitrios Giakoumis, Dimosthenis Ioannidis, Dimitrios Tzovaras, Liming Chen, Raouf Hamzaoui
Energy-based decision engine for household human activity recognition. PerCom Workshops (2018)
Evdoxia Eirini Lithoxoidou, Thanasis Vafeiadis, Stelios Krinidis, Dimosthenis Ioannidis, Dimitrios Tzovaras, Chrysovalantou Ziogou, Spyros Voutetakis
Malfunction diagnosis in industrial process systems using data mining for knowledge discovery. ICE/ITMC (2017)
Thanasis Vafeiadis, Dimosthenis Ioannidis, Stelios Krinidis, Chrysovalantou Ziogou, Spyros Voutetakis, Dimitrios Tzovaras, Spiridon D. Likothanassis
Real-time incident detection: An approach for two interdependent time series. EUSIPCO (2016)
Thanasis Vafeiadis, Stelios Krinidis, Chrysovalantou Ziogou, Dimosthenis Ioannidis, Spyros Voutetakis, Dimitrios Tzovaras
Robust malfunction diagnosis in process industry time series. INDIN (2016)
Thanasis Vafeiadis, Konstantinos I. Diamantaras, George Sarigiannidis, Konstantinos Ch. Chatzisavvas
A comparison of machine learning techniques for customer churn prediction. Simul. Model. Pract. Theory 55 (2015)
Thanasis Vafeiadis, Alexandros Papanikolaou, Christos Ilioudis, Stefanos Charchalakis
Real-time network data analysis using time series models. Simul. Model. Pract. Theory 29 (2012)
Thanasis Vafeiadis, Efthimia Bora-Senta, Dimitris Kugiumtzis
Estimation of linear trend onset in time series. Simul. Model. Pract. Theory 19 (5) (2011)
Thanasis Vafeiadis, Efthimia Bora-Senta, Dimitris Kugiumtzis
Evaluation of Linear Trend Tests Using Resampling Techniques. Commun. Stat. Simul. Comput. 37 (5) (2008)