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20212024
most citedMLOps -- Definitions, Tools and Challenges

8 citations · 22 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CR2024★ 3 cited

Integrating Artificial Open Generative Artificial Intelligence into Software Supply Chain Security

Vasileios Alevizos, George A Papakostas, Akebu Simasiku +5

While new technologies emerge, human errors always looming. Software supply chain is increasingly complex and intertwined, the security of a service has become paramount to ensurin…

cs.CY2023

COVID-19 Imposes Rethinking of Conferencing -- Environmental Impact Assessment of Artificial Intelligence Conferences

Pavlina Mitsou, Nikoleta-Victoria Tsakalidou, Eleni Vrochidou +1

It has been noticed that through COVID-19 greenhouse gas emissions had a sudden reduction. Based on this significant observation, we decided to conduct a research to quantify the i…

cs.LG2022★ 8 cited

MLOps -- Definitions, Tools and Challenges

G. Symeonidis, E. Nerantzis, A. Kazakis +1

This paper is an overview of the Machine Learning Operations (MLOps) area. Our aim is to define the operation and the components of such systems by highlighting the current problem…

eess.IV2021

Moment Transform-Based Compressive Sensing in Image Processing

T. Kalampokas, G. A. Papakostas

Over the last decades, images have become an important source of information in many domains, thus their high quality has become necessary to acquire better information. One of the…

cs.LG2021★ 5 cited

Predictive Maintenance -- Bridging Artificial Intelligence and IoT

G. G. Samatas, S. S. Moumgiakmas, G. A. Papakostas

This paper highlights the trends in the field of predictive maintenance with the use of machine learning. With the continuous development of the Fourth Industrial Revolution, throu…

cs.CL2021★ 3 cited

Machine Learning Meets Natural Language Processing -- The story so far

N. -I. Galanis, P. Vafiadis, K. -G. Mirzaev +1

Natural Language Processing (NLP) has evolved significantly over the last decade. This paper highlights the most important milestones of this period while trying to pinpoint the co…

cs.LG2021

Machine Biometrics -- Towards Identifying Machines in a Smart City Environment

G. K. Sidiropoulos, G. A. Papakostas

This paper deals with the identification of machines in a smart city environment. The concept of machine biometrics is proposed in this work for the first time, as a way to authent…

cs.LG2021★ 1 cited

Machine learning for cloud resources management -- An overview

V. N. Tsakalidou, P. Mitsou, G. A. Papakostas

Nowadays, an important topic that is considered a lot is how to integrate Machine Learning(ML) to cloud resources management. In this study, our goal is to explore the most importa…

cs.CV2021★ 2 cited

Performance Evaluation of Convolutional Neural Networks for Gait Recognition

K. D. Apostolidis, P. S. Amanatidis, G. A. Papakostas

In this paper, a performance evaluation of well-known deep learning models in gait recognition is presented. For this purpose, the transfer learning scheme is adopted to pre-traine…