Using Artificial Intelligence for Particle Track Identification in CLAS12 Detector. - Gagik Gavalian; Polykarpos Thomadakis; Angelos Angelopoulos; Veronique Ziegler; Nikos Chrisochoides (CoRR, 2020)

Adaptive Physics-Based Non-Rigid Registration for Immersive Image-Guided Neuronavigation Systems. - Fotis Drakopoulos; Christos Tsolakis; Angelos Angelopoulos; Yixun Liu; Chengjun Yao; Kyriaki Rafailia Kavazidi; Nicolas Foroglou; Andrey Fedorov; Sarah F. Frisken; Ron Kikinis; Alexandra J. Golby; Nikos Chrisochoides (Frontiers Digit. Health, 2020)

Tackling Faults in the Industry 4.0 Era - A Survey of Machine-Learning Solutions and Key Aspects. - Angelos Angelopoulos; Emmanouel T. Michailidis; Nikolaos Nomikos; Panagiotis Trakadas; Antonis Hatziefremidis; Stamatis Voliotis; Theodore B. Zahariadis (Sensors, 2020)

An Artificial Intelligence-Based Collaboration Approach in Industrial IoT Manufacturing: Key Concepts, Architectural Extensions and Potential Applications. - Panagiotis Trakadas; Pieter Simoens; Panagiotis K. Gkonis; Lambros Sarakis; Angelos Angelopoulos; Alfonso P. Ramallo-González; Antonio F. Skarmeta; Christos Trochoutsos; Daniel Calvomicron; Tomás Pariente Lobo; Keshav Chintamani; Izaskun Fernández; et al. (Sensors, 2020)

Impact of Classifiers to Drift Detection Method: A Comparison. - Angelos Angelopoulos; Anastasios E. Giannopoulos; Nikolaos C. Kapsalis; Sotirios T. Spantideas; Lambros Sarakis; Stamatis Voliotis; Panagiotis Trakadas (EANN, 2021)

Drone Brush: Mixed Reality Drone Path Planning. - Angelos Angelopoulos; Austin Hale; Husam Shaik; Akshay Paruchuri; Ken Liu; Randal Tuggle; Daniel Szafir (HRI, 2022)

Towards Zero-Defect Manufacturing: Machine Selection through Unsupervised Learning in the Printing Industry. - Sotirios T. Spantideas; Anastasios E. Giannopoulos; Nikolaos C. Kapsalis; Angelos Angelopoulos; Stamatis Voliotis; Panagiotis Trakadas (I-ESA Workshops, 2022)

Allocating Orders to Printing Machines for Defect Minimization: A Comparative Machine Learning Approach. - Angelos Angelopoulos; Anastasios E. Giannopoulos; Sotirios T. Spantideas; Nikolaos C. Kapsalis; Christos Trochoutsos; Stamatis Voliotis; Panagiotis Trakadas (AIAI (2), 2022)

De-noising drift chambers in CLAS12 using convolutional auto encoders. - Polykarpos Thomadakis; Angelos Angelopoulos; Gagik Gavalian; Nikos Chrisochoides (Comput. Phys. Commun., 2022)

Using machine learning for particle track identification in the CLAS12 detector. - Polykarpos Thomadakis; Angelos Angelopoulos; Gagik Gavalian; Nikos Chrisochoides (Comput. Phys. Commun., 2022)

High-Accuracy Injection Using a Mobile Manipulation Robot for Chemistry Lab Automation. - Angelos Angelopoulos; Matthew Verber; Collin McKinney; James Cahoon; Ron Alterovitz (IROS, 2023)

PD-Insighter: A Visual Analytics System to Monitor Daily Actions for Parkinson's Disease Treatment. - Jade Kandel; Chelsea Duppen; Qian Zhang 066; Howard Jiang; Angelos Angelopoulos; Ashley Paula-Ann Neall; Pranav Wagh; Daniel Szafir; Henry Fuchs; Michael Lewek; Danielle Albers Szafir (CHI, 2024)

Federated Learning-Aided Prognostics in the Shipping 4.0: Principles, Workflow, and Use Cases. - Angelos Angelopoulos; Anastasios E. Giannopoulos; Nikolaos Nomikos; Alexandros Kalafatelis; Antonios Hatziefremidis; Panagiotis Trakadas (IEEE Access, 2024)

Transforming science labs into automated factories of discovery. - Angelos Angelopoulos; James Cahoon; Ron Alterovitz (Sci. Robotics, 2024)