• Deep Hybrid Learning for Anomaly Detection in Behavioral Monitoring 

      Georgakopoulos S.V., Tasoulis S.K., Vrahatis A.G., Moustakidis S., Tsaopoulos D.E., Plagianakos V.P. (2022)
      The task of understanding human behavior through intelligent systems is crucial in various domains from medical health and well-being to financial and social platforms. In this work, we propose a complete framework that ...
    • Limiting the impact of statistics as a proverbial source of falsehood 

      Kiouvrekis Y., Stefaneas P., Kokkinaki A., Asimakis N. (2019)
      This paper presents an early version of a decision-making “eco” system. We refer to it as an “eco” system because it is primarily based on mathematical logic and combines concepts and principles from the fields of statistics, ...
    • Multimodal Workplace Monitoring for Human Activity Recognition 

      Mitsou A., Spyrou E., Giannakopoulos T. (2021)
      The aim of this work is to design and implement a system that deals with the recognition of human behavior on issues of mental nature. Since the "invasion"of technology in human daily life is continuously growing, a plethora ...