Ghent University Academic Bibliography

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- PhD Thesis
How browsing data can advance television advertising

Leen De Schaepdrijver (UGent)

(2023)
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- Conference Paper
- P1
- open access
Can deep neural networks learn process model structure? An assessment framework and analysis

Jari Peeperkorn, Seppe vanden Broucke (UGent) and Jochen De Weerdt

(2022) PROCESS MINING WORKSHOPS, ICPM 2021. In Lecture Notes in Business Information Processing 433. p.127-139
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- Journal Article
- A1
- open access
Satellite based fault diagnosis of photovoltaic systems using recurrent neural networks

Jonas Van Gompel (UGent) , Domenico Spina (UGent) and Chris Develder (UGent)

(2022) APPLIED ENERGY. 305.
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A data-driven approach based on long short-term memory and hidden Markov model for crack propagation prediction

Duyen H. Nguyen-Le, Q. B. Tao, Vu-Hieu Nguyen, Magd Abdel Wahab (UGent) and H. Nguyen-Xuan

(2020) ENGINEERING FRACTURE MECHANICS. 235.
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Distributed representations of action sequences in anterior cingulate cortex : a recurrent neural network approach

Danesh Shahnazian and Clay Holroyd (UGent)

(2018) PSYCHONOMIC BULLETIN & REVIEW. 25(1). p.302-321
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Human midcingulate cortex encodes distributed representations of task progress

Clay Holroyd (UGent) , Jose J. F. Ribas-Fernandes, Danesh Shahnazian, Massimo Silvetti (UGent) and Tom Verguts (UGent)

(2018) PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA. 115(25). p.6398-6403
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- Journal Article
- A1
- open access
Automated design of complex dynamic systems

Michiel Hermans (UGent) , Benjamin Schrauwen (UGent) , Peter Bienstman (UGent) and Joni Dambre (UGent)

(2014) PLOS ONE. 9(1).

Academic Bibliography

How browsing data can advance television advertising

Can deep neural networks learn process model structure? An assessment framework and analysis

Satellite based fault diagnosis of photovoltaic systems using recurrent neural networks

A data-driven approach based on long short-term memory and hidden Markov model for crack propagation prediction

Distributed representations of action sequences in anterior cingulate cortex : a recurrent neural network approach

Human midcingulate cortex encodes distributed representations of task progress

Automated design of complex dynamic systems

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