Ghent University Academic Bibliography

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Optimised one-class classification performance

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

(2022)
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Optimised one-class classification performance

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

(2022) MACHINE LEARNING. 111(8). p.2863-2883
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Fuzzy-rough-learn 0.2 : a Python library for fuzzy rough set algorithms and one-class classification

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

(2022) 2022 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE). In IEEE International Fuzzy Systems Conference Proceedings
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Badminton stroke classification based on accelerometer data : from individual to generalized models

Daniel Peralta (UGent) , Ben Van Herbruggen (UGent) , Jaron Fontaine (UGent) , Wout Debyser, Jorg Wieme (UGent) and Eli De Poorter (UGent)

(2022) 2022 IEEE International Conference on Big Data (Big Data). p.5542-5548
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Multiclass heartbeat classification using ECG signals and convolutional neural networks

Muhammad Deedahwar Mazhar Qureshi, Daniel Peralta (UGent) , Eli De Poorter (UGent) , Rafia Mumtaz, Adnan Shahid (UGent) , Ingrid Moerman (UGent) and Timo De Waele (UGent)

(2022) 2022 2nd International Conference on Digital Futures and Transformative Technologies (ICoDT2).
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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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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) PATTERN RECOGNITION. 118.
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Adapting fuzzy rough sets for classification with missing values

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

(2021) Rough Sets. In Lecture Notes in Computer Science 12872. p.192-200
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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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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).

Academic Bibliography

Optimised one-class classification performance

Optimised one-class classification performance

Fuzzy-rough-learn 0.2 : a Python library for fuzzy rough set algorithms and one-class classification

Badminton stroke classification based on accelerometer data : from individual to generalized models

Multiclass heartbeat classification using ECG signals and convolutional neural networks

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

Average localised proximity : a new data descriptor with good default one-class classification performance

Adapting fuzzy rough sets for classification with missing values

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

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