Academic Bibliography

Search 200 years of publications by Ghent University researchers.

prof. dr. ir. Sofie Van Hoecke

Faculty of Engineering and Architecture > Department of Electronics and information systems

Work address: Gr.Karel de Goedelaan 5, Geb.B
8500 Kortrijk
Email: Sofie.VanHoecke@UGent.be
ORCID iD: 0000-0002-7865-6793

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Overly optimistic prediction results on imbalanced data : a case study of flaws and benefits when applying over-sampling

Gilles Vandewiele (UGent) , Isabelle Dehaene (UGent) , György Kovács, Lucas Sterckx (UGent) , Olivier Janssens (UGent) , Femke Ongenae (UGent) , Femke De Backere (UGent) , Filip De Turck (UGent) , Kristien Roelens (UGent) , Johan Decruyenaere (UGent) , et al.

(2021) ARTIFICIAL INTELLIGENCE IN MEDICINE. 111.
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- Journal Article
- A1
- open access
FLAGS : a methodology for adaptive anomaly detection and root cause analysis on sensor data streams by fusing expert knowledge with machine learning

Bram Steenwinckel (UGent) , Dieter De Paepe (UGent) , Sander Vanden Hautte (UGent) , Pieter Heyvaert (UGent) , Mohamed Bentefrit, Pieter Moens (UGent) , Anastasia Dimou (UGent) , Bruno Van Den Bossche (UGent) , Filip De Turck (UGent) , Sofie Van Hoecke (UGent) , et al.

(2021) FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE. 116. p.30-48
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- Journal Article
- A1
- open access
Anomaly detection and event mining in cold forming manufacturing processes

Diego Nieves Avendano (UGent) , Daniel Caljouw, Dirk Deschrijver (UGent) and Sofie Van Hoecke (UGent)

(2021) INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY. p.1-16
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- Conference Paper
Mining Recurring Patterns in Real-Valued Time Series using the Radius Profile

Dieter De Paepe (UGent) and Sofie Van Hoecke (UGent)

(2020) 2020 IEEE International Conference on Data Mining (ICDM). p.984-989
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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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Clinical information extraction for preterm birth risk prediction

Lucas Sterckx (UGent) , Gilles Vandewiele (UGent) , Isabelle Dehaene (UGent) , Olivier Janssens (UGent) , Femke Ongenae (UGent) , Femke De Backere (UGent) , Filip De Turck (UGent) , Kristien Roelens (UGent) , Johan Decruyenaere (UGent) , Sofie Van Hoecke (UGent) , et al.

(2020) JOURNAL OF BIOMEDICAL INFORMATICS. 110.
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- A1
- open access
Scalable fleet monitoring and visualization for smart machine maintenance and industrial IoT applications

Pieter Moens (UGent) , Vincent Bracke (UGent) , Colin Soete (UGent) , Sander Vanden Hautte (UGent) , Diego Nieves Avendano (UGent) , Ted Ooijevaar, Steven Devos, Bruno Volckaert (UGent) and Sofie Van Hoecke (UGent)

(2020) SENSORS. 20(15).
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Data-driven prognostics of alternating current solenoid valves

Tamir Mazaev (UGent) , Agusmian Partogi Ompusunggu, Georges Tod, Guillaume Crevecoeur (UGent) and Sofie Van Hoecke (UGent)

(2020) 2020 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-BESANCON 2020). In Prognostics and System Health Management Conference p.109-115
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- Journal Article
- A1
- open access
A generalized matrix profile framework with support for contextual series analysis

Dieter De Paepe (UGent) , Sander Vanden Hautte (UGent) , Bram Steenwinckel (UGent) , Filip De Turck (UGent) , Femke Ongenae (UGent) , Olivier Janssens (UGent) and Sofie Van Hoecke (UGent)

(2020) ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. 90.
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- A1
- open access
A dynamic dashboarding application for fleet monitoring using semantic web of things technologies

Sander Vanden Hautte (UGent) , Pieter Moens (UGent) , Joachim Van Herwegen (UGent) , Dieter De Paepe (UGent) , Bram Steenwinckel (UGent) , Stijn Verstichel (UGent) , Femke Ongenae (UGent) and Sofie Van Hoecke (UGent)

(2020) SENSORS. 20(4).

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