Ghent University Academic Bibliography

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Your filters: cql: author="Peralta, Daniel" or (type exact bookEditor and editor="Peralta, Daniel")

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Average Localised Proximity : a new data descriptor with good default one-class classification performance

Oliver Lenz (UGent) , Daniel Peralta (UGent) and Chris Cornelis (UGent)

(2021) Proceedings of the 33rd Benelux Conference on Artificial Intelligence (BNAIC 2021) and the 30th Belgian-Dutch Conference on Machine Learning (BeneLearn 2021). p.644-646
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A study on the calibration of fingerprint classifiers

Daniel Peralta (UGent) , Lin Tang (UGent) , Maxim Lippeveld (UGent) and Yvan Saeys (UGent)

(2021) 2021 IEEE International Conference on Big Data (Big Data). In IEEE International Conference on Big Data p.698-704
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- Journal Article
- A1
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SCMFTS : scalable and distributed complexity measures and features for univariate and multivariate time series in Big Data environments

Francisco J. Baldan, Daniel Peralta (UGent) , Yvan Saeys (UGent) and Jose M. Benitez

(2021) INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS. 14(1).
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Robust unsupervised dimensionality reduction based on feature clustering for single-cell imaging data

Daniel Peralta (UGent) and Yvan Saeys (UGent)

(2020) APPLIED SOFT COMPUTING. 93.
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Fuzzy-rough-learn 0.1 : a Python library for machine learning with fuzzy rough sets

Oliver Lenz (UGent) , Daniel Peralta (UGent) and Chris Cornelis (UGent)

(2020) IJCRS 2020 : Rough Sets. In Lecture Notes in Artificial Intelligence 12179. p.491-499

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Academic Bibliography

Average Localised Proximity : a new data descriptor with good default one-class classification performance

A study on the calibration of fingerprint classifiers

SCMFTS : scalable and distributed complexity measures and features for univariate and multivariate time series in Big Data environments

Robust unsupervised dimensionality reduction based on feature clustering for single-cell imaging data

Fuzzy-rough-learn 0.1 : a Python library for machine learning with fuzzy rough sets

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