Ghent University Academic Bibliography

Enabling cross-context learning with knowledge graphs for anomaly detection in communications networks

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

(2025) JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT. 33(4).

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Journal Article
A2
open access

A comparative survey of vision transformers for feature extraction in texture analysis

Leonardo Scabini, Andre Sacilotti, Kallil M. Zielinski, Lucas C. Ribas, Bernard De Baets (UGent) and Odemir Martinez Bruno (UGent)

(2025) JOURNAL OF IMAGING. 11(9).

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A1
open access

Advanced wood species identification based on multiple anatomical sections and using deep feature transfer and fusion

Kallil M. Zielinski, Leonardo Scabini, Lucas C. Ribas, Núbia R. da Silva, Hans Beeckman, Jan Verwaeren (UGent) , Odemir Martinez Bruno (UGent) and Bernard De Baets (UGent)

(2025) COMPUTERS AND ELECTRONICS IN AGRICULTURE. 231.

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A1
open access

A Transfer Learning method for deep drawing force prediction of sheet metal

Yingjian Guo (UGent) , Gregor Kosec, Lihua Wang (UGent) and Magd Abdel Wahab (UGent)

(2025) EUROPEAN JOURNAL OF MECHANICS A-SOLIDS. 114.

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A1
open access

Automated detection of broiler vocalizations a machine learning approach for broiler chicken vocalization monitoring

Patricia Soster de Carvalho (UGent) , Tomasz Leszek Grzywalski (UGent) , Yuanbo Hou (UGent) , Pieter Thomas (UGent) , Annelike Dedeurwaerder (UGent) , Maarten De Gussem (UGent) , Frank Tuyttens (UGent) , Paul Devos (UGent) , Dick Botteldooren (UGent) and Gunther Antonissen (UGent)

(2025) POULTRY SCIENCE. 104(5).

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A1
open access

Accelerating reaction rate predictions : a machine learning approach using a novel quantum chemical property for nucleophilic aromatic substitutions

Lowie Tomme (UGent) , Istvan Lengyel (UGent) , Florence Vermeire, Christian Stevens (UGent) and Kevin Van Geem (UGent)

(2025) MACHINE LEARNING-SCIENCE AND TECHNOLOGY. 6(3).

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A2
open access

Removing the need for ground truth UWB data collection : self-supervised ranging error correction using deep reinforcement learning

Dieter Coppens (UGent) , Ben Van Herbruggen, Adnan Shahid (UGent) and Eli De Poorter (UGent)

(2024) IEEE TRANSACTIONS ON MACHINE LEARNING IN COMMUNICATIONS AND NETWORKING. 2. p.1615-1627

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A1
open access

Intensity and retention time prediction improves the rescoring of protein‐nucleic acid cross‐links

Arslan Siraj, Robbin Bouwmeester (UGent) , Arthur Declercq (UGent) , Luisa Welp, Aleksandar Chernev, Alexander Wulf, Henning Urlaub, Lennart Martens (UGent) , Sven Degroeve (UGent) , Oliver Kohlbacher, et al.

(2024) PROTEOMICS. 24(8).

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A1
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Evaluation of activated sludge settling characteristics from microscopy images with deep convolutional neural networks and transfer learning

Sina Borzooei (UGent) , Leonardo Scabini, Gisele Miranda, Saba Daneshgar (UGent) , Lukas Deblieck, Odemir Bruno, Piet De Langhe, Bernard De Baets (UGent) , Ingmar Nopens (UGent) and Elena Torfs (UGent)

(2024) JOURNAL OF WATER PROCESS ENGINEERING. 64.

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A1
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MSDeepAMR : antimicrobial resistance prediction based on deep neural networks and transfer learning

Xaviera A. Lopez-Cortes, Jose M. Manriquez-Troncoso, Ruber Hernandez-Garcia and Daniel Peralta (UGent)

(2024) FRONTIERS IN MICROBIOLOGY. 15.

Academic Bibliography

Enabling cross-context learning with knowledge graphs for anomaly detection in communications networks

A comparative survey of vision transformers for feature extraction in texture analysis

Advanced wood species identification based on multiple anatomical sections and using deep feature transfer and fusion

A Transfer Learning method for deep drawing force prediction of sheet metal

Automated detection of broiler vocalizations a machine learning approach for broiler chicken vocalization monitoring

Accelerating reaction rate predictions : a machine learning approach using a novel quantum chemical property for nucleophilic aromatic substitutions

Removing the need for ground truth UWB data collection : self-supervised ranging error correction using deep reinforcement learning

Intensity and retention time prediction improves the rescoring of protein‐nucleic acid cross‐links

Evaluation of activated sludge settling characteristics from microscopy images with deep convolutional neural networks and transfer learning

MSDeepAMR : antimicrobial resistance prediction based on deep neural networks and transfer learning

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