Sensitivity study using machine learning algorithms on simulated r-mode gravitational wave signals from newborn neutron stars. - Antonis Mytidis; Athanasios Aris Panagopoulos; Orestis P. Panagopoulos; Bernard Whiting (CoRR, 2015)

Sparse Proximal Support Vector Machines for feature selection in high dimensional datasets. - Vijay Pappu; Orestis P. Panagopoulos; Petros Xanthopoulos; Panos M. Pardalos (Expert Syst. Appl., 2015)

Soil-Compressibility Prediction Models Using Machine Learning. - Scott Kirts; Orestis P. Panagopoulos; Petros Xanthopoulos; Boo Hyun Nam (J. Comput. Civ. Eng., 2018)

Relaxed support vector regression. - Orestis P. Panagopoulos; Petros Xanthopoulos; Talayeh Razzaghi; Onur Seref (Ann. Oper. Res., 2019)

iPlugie: Intelligent electric vehicle charging in buildings with grid-connected intermittent energy resources. - Athanasios Aris Panagopoulos; Filippos Christianos; Michail Katsigiannis; Konstantinos Mykoniatis; Georgios Chalkiadakis; Marco Pritoni; Therese Peffer; Orestis P. Panagopoulos; Emmanouil S. Rigas; David E. Culler; Nicholas R. Jennings; Timothy Lipman (Simul. Model. Pract. Theory, 2022)

Identifying sunlit leaves using Convolutional Neural Networks: An expert system for measuring the crop water stress index of pistachio trees. - Minas Pantelidakis; Athanasios Aris Panagopoulos; Konstantinos Mykoniatis; Shawn Ashkan; Rajeswari Cherupulli Eravi; Vishnu Pamula; Enrique Cruz Verduzco III; Oleksandr Babich; Orestis P. Panagopoulos; Georgios Chalkiadakis (Expert Syst. Appl., 2022)