Ghent University Academic Bibliography

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Probabilistic modelling of general noisy multi-manifold data sets

M. Canducci, P. Tiño and Michele Mastropietro

(2022) ARTIFICIAL INTELLIGENCE. 302.
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1-DREAM : 1D Recovery, Extraction and Analysis of Manifolds in noisy environments

M. Canducci, P. Awad, A. Taghribi, M. Mohammadi, Michele Mastropietro, Sven De Rijcke (UGent) , R. Peletier, R. Smith, K. Bunte and P. Tiňo

(2022) ASTRONOMY AND COMPUTING. 41.
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A constrained randomization approach to interactive visual data exploration with subjective feedback

Bo Kang (UGent) , Kai Puolamäki, Jefrey Lijffijt (UGent) and Tijl De Bie (UGent)

(2020) IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING. 32(9). p.1666-1679
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Interactive visual data exploration with subjective feedback : an information-theoretic approach

Kai Puolamäki, Emilia Oikarinen, Bo Kang (UGent) , Jefrey Lijffijt (UGent) and Tijl De Bie (UGent)

(2020) DATA MINING AND KNOWLEDGE DISCOVERY. 34(1). p.21-49
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Distance metric learning with the Universum

Bac Nguyen Cong (UGent) , Carlos Morell and Bernard De Baets (UGent)

(2017) PATTERN RECOGNITION LETTERS. 100. p.37-43
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Unsupervised spectral sub-feature learning for hyperspectral image classification

Viktor Slavkovikj (UGent) , Steven Verstockt (UGent) , Wesley De Neve (UGent) , Sofie Van Hoecke (UGent) and Rik Van de Walle (UGent)

(2016) INTERNATIONAL JOURNAL OF REMOTE SENSING. 37(2). p.309-326

Academic Bibliography

Probabilistic modelling of general noisy multi-manifold data sets

1-DREAM : 1D Recovery, Extraction and Analysis of Manifolds in noisy environments

A constrained randomization approach to interactive visual data exploration with subjective feedback

Interactive visual data exploration with subjective feedback : an information-theoretic approach

Distance metric learning with the Universum

Unsupervised spectral sub-feature learning for hyperspectral image classification

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