PSEPHEDA

Issue Date	Title	Author(s)
2024	Train-scheduling for railway networks using basic kinematics and A*	Μανωλάκης, Δημήτρης
2023	Prediction of cases and transmission rate of covid-19 with machine learning techniques	Βαζακίδης, Δημήτριος
2023	Machine learning-based mood classification via standardized questionnaires	Μπαλκούδη, Μιχαέλα
2023	Determining possible gender differences in undergraduate introductory programming courses by applying data analysis techniques in the results of the students’ assignments, to promote gender equality	Δαγκλής, Ευάγγελος
2023	Machine learning techniques for stock market prediction	Παυλίδης, Παύλος
2023	Educational game to model learner's personality	Chatziavgeri, Aikaterina
2023	Development of network services embedding method using reinforcement learning	Καραγεωργιάδης, Αναστάσιος
2023	Using serious games and learning analytics for student profiling	Τσιωνάς, Αθανάσιος
2023	Visualization and analysis of data related to government restrictive measures on covid-19	Χαντές, Δημήτριος
2022	Dynamic / Adaptive determination of parameter k IN k-NN classifier	Παπανικολάου, Μερκούριος
2022	A simple stock screener framework for portfolio optimization	Μπανάτας, Ιωάννης
2022	Evaluating acceleration techniques for candidate evaluation in genetic neural architecture search	Δερβίση, Φωτεινή
2021	Epistemic network analysis: literature review and case study	Χρήστου, Αλίκη
2021	Computing trajectories in 3D space to avoid obstacles using systematic and stochastic search algorithms	Μάρκου, Βασίλειος
2021	A novel evolutionary algorithm for hierarchical neural architecture search	Χριστοφορίδης, Αριστείδης
2021	Addressing Computer Vision Challenges using an Active Learning Framework	Τζόγκα, Χριστίνα

Recent Submissions

Train-scheduling for railway networks using basic kinematics and A*

Prediction of cases and transmission rate of covid-19 with machine learning techniques

Machine learning-based mood classification via standardized questionnaires

Determining possible gender differences in undergraduate introductory programming courses by applying data analysis techniques in the results of the students’ assignments, to promote gender equality

Machine learning techniques for stock market prediction