Christos Argyropoulos

Editorial to the topical issue “Advanced Metamaterials in Microwaves, Optics and Mechanics”

Alessio Monti, Christos Argyropoulos, 2015 .

FPGA implementation of spiking neural networks - an initial step towards building tangible collaborative autonomous agents

Hani Hagras, Victor Callaghan, Kieran Delaney, 2004, Proceedings. 2004 IEEE International Conference on Field- Programmable Technology (IEEE Cat. No.04EX921).

Using sensors and data-loggers in an integrated mobile school-lab setting to teach Light and Optics

Charilaos Tsihouridis, George S. Ioannidis, Denis Vavougios, 2014, 2014 International Conference on Interactive Collaborative Learning (ICL).

Generalized Mixed Modeling in Massive Electronic Health Record Databases: What is a Healthy Serum Potassium?

John Cook, Christos Argyropoulos, Cristian Bologa, 2019, 1910.08179.

Combining OpenFlow and sFlow for an effective and scalable anomaly detection and mitigation mechanism on SDN environments

Basil S. Maglaris, Dimitrios Kalogeras, Kostas Giotis, 2014, Comput. Networks.

A Survey on Risk Forecast Evaluation

Ekaterini Panopoulou, Christos Argyropoulos, Ekaterini Panopoulou, 2017 .

A Collaborating Team of Spiking Neural Network Based Robotic Agents for Inaccessible Fluidic Environments

Hani Hagras, Victor Callaghan, Achilles Kameas, 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

Robust forecasting and backtesting of Value at Risk (VaR) and Expected Shortfall (ES) risk measures

Christos Argyropoulos, 2017 .

The effect of teaching electric circuits switching from real to virtual lab or vice versa — A case study with junior high-school learners

Charilaos Tsihouridis, George S. Ioannidis, Denis Vavougios, 2015, 2015 International Conference on Interactive Collaborative Learning (ICL).