most citedDysLexML: Screening Tool for Dyslexia Using Machine Learning

19 citations · 26 across the 6 of their papers we have counts for

collaborators

6 papers

q-bio.NC2019

Adversarial dictionary learning for a robust analysis and modelling of spontaneous neuronal activity

Eirini Troullinou, Grigorios Tsagkatakis, Ganna Palagina +3

The field of neuroscience is experiencing rapid growth in the complexity and quantity of the recorded neural activity allowing us unprecedented access to its dynamics in different…

cs.HC2019

GestureKeeper: Gesture Recognition for Controlling Devices in IoT Environments

Vasileios Sideridis, Andrew Zacharakis, George Tzagkarakis +1

This paper introduces and evaluates the GestureKeeper, a robust hand-gesture recognition system based on a wearable inertial measurements unit (IMU). The identification of the time…

cs.CY201919 cited

DysLexML: Screening Tool for Dyslexia Using Machine Learning

Thomais Asvestopoulou, Victoria Manousaki, Antonis Psistakis +4

Eye movements during text reading can provide insights about reading disorders. Via eye-trackers, we can measure when, where and how eyes move with relation to the words they read.…

cs.NI2019

Multi-layer Game-Theoretical Analysis of Wireless Markets with Market Segmentation

Georgios Fortetsanakis, Maria Papadopouli

New larger and more diverse wireless markets have emerged. Modelling them can be challenging due to various business and network aspects. Existing models of wireless markets are ei…

cs.IR20194 cited

On hybrid modular recommendation systems for video streaming

Evripidis Tzamousis, Maria Papadopouli

The recommendation systems aim to improve the user engagement by recommending appropriate personalized content to users, exploiting information about their preferences. We propose…

cs.NI20193 cited

Should I stay or should I go: Analysis of the impact of application QoS on user engagement in YouTube

Maria Plakia, Evripides Tzamousis, Thomais Asvestopoulou +5

To improve the quality of experience (QoE), especially under moderate to high traffic demand, it is important to understand the impact of the network and application QoS on user ex…