Ghent University Academic Bibliography

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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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- Conference Paper
- P1
The need for a numeric measure of explainability

Wim De Mulder (UGent) and Peggy Valcke

(2021) 2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA). In IEEE International Conference on Big Data p.2712-2720
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Malicious DNS tunneling detection in real-traffic DNS data

Danielle Lambion, Michael Josten, Femi Olumofin and Martine De Cock (UGent)

(2020) 2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA). In IEEE International Conference on Big Data p.5736-5738
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- open access
Hardening DGA classifiers utilizing IVAP

Charles Grumer, Jonathan Peck (UGent) , Femi Olumofin, Anderson Nascimento and Martine De Cock (UGent)

(2019) 2019 IEEE International Conference on Big Data (Big Data). In IEEE International Conference on Big Data p.6063-6065
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- open access
From DIKW pyramid to graph database : a tool for machine processing of nutritional epidemiologic research data

Chen Yang, Bernard De Baets (UGent) and Carl Lachat (UGent)

(2019) 2019 IEEE International Conference on Big Data (Big Data). In IEEE International Conference on Big Data p.5202-5205
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- P1
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Privacy-preserving scoring of tree ensembles : a novel framework for AI in healthcare

Kyle Fritchman, Keerthanaa Saminathan, Rafael Dowsley, Tyler Hughes, Martine De Cock (UGent) , Anderson Nascimento and Ankur Teredesai

(2018) 2018 IEEE International conference on Big Data (Big Data 2018). In IEEE International Conference on Big Data p.2413-2422
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An evaluation of DGA classifiers

Raaghavi Sivaguru, Chhaya Choudhary, Bin Yu, Vadym Tymchenko, Anderson Nascimento and Martine De Cock (UGent)

(2018) 2018 IEEE International conference on Big Data (Big Data 2018). In IEEE International Conference on Big Data p.5058-5067
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- P1
- open access
Privacy-preserving linear regression for brain-computer interface applications

Anisha Agarwal, Rafael Dowsley, Nicholas D McKinney, Dongrui Wu, Chin-Teng Lin, Martine De Cock (UGent) and Anderson Nascimento

(2018) 2018 IEEE International conference on Big Data (Big Data 2018). In IEEE International Conference on Big Data p.5277-5278
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- P1
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Privacy-preserving user profiling with Facebook likes

Sanchya Bhagat, Keerthanaa Saminathan, Anisha Agarwal, Rafael Dowsley, Martine De Cock (UGent) and Anderson Nascimento

(2018) 2018 IEEE International conference on Big Data (Big Data 2018). In IEEE International Conference on Big Data p.5298-5299
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Dynamic data transformation for low latency querying in big data systems

Leandro Ordonez Ante (UGent) , Thomas Vanhove (UGent) , Gregory Van Seghbroeck (UGent) , Tim Wauters (UGent) , Bruno Volckaert (UGent) and Filip De Turck (UGent)

(2017) 2017 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA). In IEEE International Conference on Big Data p.2480-2489

Academic Bibliography

A study on the calibration of fingerprint classifiers

The need for a numeric measure of explainability

Malicious DNS tunneling detection in real-traffic DNS data

Hardening DGA classifiers utilizing IVAP

From DIKW pyramid to graph database : a tool for machine processing of nutritional epidemiologic research data

Privacy-preserving scoring of tree ensembles : a novel framework for AI in healthcare

An evaluation of DGA classifiers

Privacy-preserving linear regression for brain-computer interface applications

Privacy-preserving user profiling with Facebook likes

Dynamic data transformation for low latency querying in big data systems

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