Ghent University Academic Bibliography

Book Chapter

Unsupervised Machine Learning Methods to Estimate a Health Indicator for Condition Monitoring Using Acoustic and Vibration Signals: A Comparison Based on a Toy Data Set from a Coffee Vending Machine

Yonas Tefera, Maarten Meire, Stijn Luca (UGent) and Peter Karsmakers

(2021) Communications in Computer and Information Science. In IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning

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Conference Paper
C1
open access

Streamlining governmental processes by putting citizens in control of their personal data

Raf Buyle (UGent) , Ruben Taelman (UGent) , Katrien Mostaert, Geroen Joris, Erik Mannens (UGent) , Ruben Verborgh (UGent) and Tim Berners-Lee

(2020) Electronic Governance and Open Society : Challenges in Eurasia. In Communications in Computer and Information Science 1135. p.346-359

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Archimedean choice functions : an axiomatic foundation for imprecise decision making

Jasper De Bock (UGent)

(2020) Information Processing and Management of Uncertainty in Knowledge-Based Systems. In Communications in Computer and Information Science 1238. p.195-209

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A study of the set of probability measures compatible with comparative judgements

Alexander Erreygers (UGent) and Enrique Miranda

(2020) Information processing and management of uncertainty in knowledge-based systems, 18th International Conference, IPMU 2020, Lisbon, Portugal, June 15–19, 2020, Proceedings, Part III. In Communications in Computer and Information Science 1238. p.165-179

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Contextualizing naive Bayes predictions

Marcelo Eduardo Loor Romero (UGent) and Guy De Tré (UGent)

(2020) Information processing and management of uncertainty in knowledge-based systems, 18th International Conference, IPMU 2020, Lisbon, Portugal, June 15–19, 2020, Proceedings, Part II. In Communications in Computer and Information Science 1239. p.814-827

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Conference Paper
open access

Rhythm, Chord and Melody Generation for Lead Sheets Using Recurrent Neural Networks

Cedric De Boom, Stephanie Van Laere, Tim Verbelen and Bart Dhoedt

(2020) Machine Learning and Knowledge Discovery in Databases. In Communications in Computer and Information Science

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Google Indoor Maps or Google Indoor No Maps? Usability study of an adapted mobile indoor wayfinding aid

Laure De Cock (UGent) , Kristien Ooms (UGent) , Nico Van de Weghe (UGent) and Philippe De Maeyer (UGent)

(2020) 22nd International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings, Part I. In Communications in Computer and Information Science 1224. p.413-420

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Unsupervised anomaly detection for communication networks : an autoencoder approach

Pieter Bonte (UGent) , Sander Vanden Hautte (UGent) , Annelies Lejon, Veerle Ledoux, Filip De Turck (UGent) , Sofie Van Hoecke (UGent) and Femke Ongenae (UGent)

(2020) IoT streams for data-driven predictive maintenance and IoT, edge, and mobile for embedded machine learning. In Communications in Computer and Information Science 1325. p.160-172

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Limit behaviour of upper and lower expected time averages in discrete-time imprecise Markov chains

Natan T'Joens (UGent) and Jasper De Bock (UGent)

(2020) Information processing and management of uncertainty in knowledge-based systems, 18th International Conference, IPMU 2020, Lisbon, Portugal, June 15-19, 2020, Proceedings, Part II. In Communications in Computer and Information Science 1238. p.224-238

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Conference Paper
C1
open access

Sleep : model reduction in deep active inference

Samuel Wauthier (UGent) , Ozan Catal (UGent) , Cedric De Boom (UGent) , Tim Verbelen (UGent) and Bart Dhoedt (UGent)

(2020) Active inference, First International Workshop, IWAI 2020, Co-located with ECML/PKDD 2020. In Communications in Computer and Information Science 1326. p.72-83

Academic Bibliography

Unsupervised Machine Learning Methods to Estimate a Health Indicator for Condition Monitoring Using Acoustic and Vibration Signals: A Comparison Based on a Toy Data Set from a Coffee Vending Machine

Streamlining governmental processes by putting citizens in control of their personal data

Archimedean choice functions : an axiomatic foundation for imprecise decision making

A study of the set of probability measures compatible with comparative judgements

Contextualizing naive Bayes predictions

Rhythm, Chord and Melody Generation for Lead Sheets Using Recurrent Neural Networks

Google Indoor Maps or Google Indoor No Maps? Usability study of an adapted mobile indoor wayfinding aid

Unsupervised anomaly detection for communication networks : an autoencoder approach

Limit behaviour of upper and lower expected time averages in discrete-time imprecise Markov chains

Sleep : model reduction in deep active inference

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