Constantinos Constantinopoulos - researchr alias

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Viewing Publication 1 - 20 from 20

2022

2021

A Hierarchical Ontology for Dialogue Acts in Psychiatric InterviewsAristeidis Bifis, Maria Trigka, Sofia Dedegkika, Panagiota Goula, Constantinos Constantinopoulos, Dimitrios Kosmopoulos. petra 2021: 330-337 [doi]

A Method for Recovering Near Infrared Information from RGB Measurements with Application in Precision AgricultureAlexandros Gkillas, Dimitrios Kosmopoulos, Constantinos Constantinopoulos, Dimitris Ampeliotis, Kostas Berberidis. eusipco 2021: 616-620 [doi]

2020

2019

Translation of Sign Language Glosses to Text Using Sequence-to-Sequence Attention ModelsNikolaos Arvanitis, Constantinos Constantinopoulos, Dimitrios Kosmopoulos. sitis 2019: 296-302 [doi]

2012

On Affine Invariant Descriptors Related to SIFTRida Sadek, Constantinos Constantinopoulos, Enric Meinhardt, Coloma Ballester, Vicent Caselles. siamis, 5(2):652-687, 2012. [doi]

2011

A robust pipeline for logo detectionConstantinos Constantinopoulos, Enric Meinhardt-Llopis, Yunqiang Liu, Vicent Caselles. icmcs 2011: 1-6 [doi]

Efficiently Explaining Decisions of Probabilistic RBF Classification NetworksMarko Robnik-Sikonja, Aristidis Likas, Constantinos Constantinopoulos, Igor Kononenko, Erik Strumbelj. icannga 2011: 169-179 [doi]

2008

Semi-supervised and active learning with the probabilistic RBF classifierConstantinos Constantinopoulos, Aristidis Likas. ijon, 71(13-15):2489-2498, 2008. [doi]

2007

Image Modeling and Segmentation Using Incremental Bayesian Mixture ModelsConstantinos Constantinopoulos, Aristidis Likas. caip 2007: 596-603 [doi]

Unsupervised Learning of Gaussian Mixtures Based on Variational Component SplittingConstantinos Constantinopoulos, Aristidis Likas. tnn, 18(3):745-755, 2007. [doi]

2006

Στατιστικές και νευρωνικές μέθοδοι για προβλήματα μηχανικής μάθησηςConstantinos Constantinopoulos. PhD thesis, University of Ioannina, Greece, 2006. [doi]

Active Learning with the Probabilistic RBF ClassifierConstantinos Constantinopoulos, Aristidis Likas. icann 2006: 357-366 [doi]

An incremental training method for the probabilistic RBF networkConstantinos Constantinopoulos, Aristidis Likas. tnn, 17(4):966-974, 2006. [doi]

Bayesian Feature and Model Selection for Gaussian Mixture ModelsConstantinos Constantinopoulos, Michalis K. Titsias, Aristidis Likas. pami, 28(6):1013-1018, 2006. [doi]

2005

An Analytic Distance Metric for Gaussian Mixture Models with Application in Image RetrievalGiorgos Sfikas, Constantinos Constantinopoulos, Aristidis Likas, Nikolas P. Galatsanos. icann 2005: 835-840 [doi]

2004

Efficient Training Algorithms for the Probabilistic RBF NetworkConstantinos Constantinopoulos, Aristidis Likas. setn 2004: 183-190 [doi]

2002

A Bayesian Regularization Method for the Probabilistic RBF NetworkConstantinos Constantinopoulos, Michalis K. Titsias, Aristidis Likas. setn 2002: 337-345 [doi]

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