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Panagopoulos, Orestis P.
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1

iPlugie: Intelligent electric vehicle charging in buildings..:

Panagopoulos, Athanasios Aris ; Christianos, Filippos ; Katsigiannis, Michail...
Simulation Modelling Practice and Theory.  115 (2022)  - p. 102439 , 2022
Link: https://doi.org/10.1016/..
 
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2

Identifying sunlit leaves using Convolutional Neural Networ..:

Pantelidakis, Minas ; Panagopoulos, Athanasios Aris ; Mykoniatis, Konstantinos...
Expert Systems with Applications.  209 (2022)  - p. 118326 , 2022
Link: https://doi.org/10.1016/..
 
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3

A low-complexity non-intrusive approach to predict the ener..:

Panagopoulos, Athanasios Aris ; Christianos, Filippos ; Katsigiannis, Michail...
Advances in Building Energy Research.  16 (2020)  2 - p. 202-213 , 2020
Link: https://doi.org/10.1080/..
 
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4

Sensitivity study using machine learning algorithms on simu..:

Mytidis, Antonis ; Panagopoulos, Athanasios Aris ; Panagopoulos, Orestis P...
Physical Review D.  99 (2019)  2 - p. , 2019
Link: https://doi.org/10.1103/..
 
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5

Settlement Prediction Using Support Vector Machine (SVM)-Ba..:

Kirts, Scott ; Nam, Boo Hyun ; Panagopoulos, Orestis P..
International Journal of Civil Engineering.  17 (2019)  10 - p. 1547-1557 , 2019
Link: https://doi.org/10.1007/..
 
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6

Relaxed support vector regression:

Panagopoulos, Orestis P. ; Xanthopoulos, Petros ; Razzaghi, Talayeh.
Annals of Operations Research.  276 (2018)  1-2 - p. 191-210 , 2018
Link: https://doi.org/10.1007/..
 
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7

Constrained subspace classifier for high dimensional datase..:

Panagopoulos, Orestis P. ; Pappu, Vijay ; Xanthopoulos, Petros.
Omega.  59 (2016)  - p. 40-46 , 2016
Link: https://doi.org/10.1016/..
 
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8

Sparse Proximal Support Vector Machines for feature selecti..:

Pappu, Vijay ; Panagopoulos, Orestis P. ; Xanthopoulos, Petros.
Expert Systems with Applications.  42 (2015)  23 - p. 9183-9191 , 2015
Link: https://doi.org/10.1016/..
 
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9

A low-complexity non-intrusive approach to predict the ener..:

Panagopoulos, Athanasios Aris ; Christianos, Filippos ; Katsigiannis, Michail...
qt8br6b7rh.  , 2022
Link: https://escholarship.org..
 
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10

A low-complexity non-intrusive approach to predict the ener..:

Panagopoulos Athanasios Aris() ; Christianos Filippos() ; Katsigiannis Michail()...
info:eu-repo/grantAgreement/EC/FP7/246686.  , 2022
Link: http://purl.tuc.gr/dl/di..
 
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11

Sensitivity study using machine learning algorithms on simu..:

Mytidis, Antonis ; Panagopoulos, Athanasios Aris ; Panagopoulos, Orestis P..
http://arxiv.org/abs/1508.02064.  , 2015
Link: http://arxiv.org/abs/150..
 
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12

Constrained subspace classifier for high dimensional datase..:

Orestis P., Panagopoulos ; Panagopoulos, Orestis P ; Pappu, Vijay..
Omega.  , 2015
Link: https://doi.org/10.1016/..
 
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13

A low-complexity non-intrusive approach to predict the ener..:

Athanasios Aris Panagopoulos ; Filippos Christianos ; Michail Katsigiannis...
2134/16930843.v1.  , 2020
Link: https://figshare.com/art..
 
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14

Peroneus longus tendon transfer; prospective study of treat..:

Megremis, Panos K ; Megremis, Orestis P
Fuß & Sprunggelenk.  20 (2022)  4 - p. 250-259 , 2022
Link: https://doi.org/10.1016/..
 
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15

Forecasting the Exceedances of PM2.5 in an Urban Area:

Logothetis, Stavros-Andreas ; Kosmopoulos, Georgios ; Panagopoulos, Orestis..
Atmosphere.  15 (2024)  5 - p. 594 , 2024
Link: https://doi.org/10.3390/..
 
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