Ghent University Academic Bibliography

Data quality strategies in gas metal arc welding production for machine learning applications

Jorge Rodriguez Echeverría (UGent) , Evans Doe Ocansey, Roxana-Maria Holom, Tomasz Piotr Michno, Hannes Hinterbichler, Pauline Meyer-Heye and Sidharta Gautama (UGent)

(2025) DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE, SPECIAL SESSIONS I, 21ST INTERNATIONAL CONFERENCE. In Lecture Notes in Networks and Systems 1198. p.83-94

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Journal Article
A2
open access

RGB-to-infrared translation using ensemble learning applied to driving scenarios

Leonardo Ravaglia, Roberto Longo, Kaili Wang, David Van Hamme (UGent) , Julie Moeyersoms, Ben Stoffelen and Tom De Schepper

(2025) JOURNAL OF IMAGING. 11(7).

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Journal Article
A1
open access

Assessing the reliability of point mutation as data augmentation for deep learning with genomic data

Hyunjung Lee, Utku Özbulak (UGent) , Homin Park (UGent) , Stephen Depuydt (UGent) , Wesley De Neve (UGent) and Joris Vankerschaver (UGent)

(2024) BMC BIOINFORMATICS. 25(1).

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Journal Article
A1
open access

Improving semantic segmentation accuracy in thin cloud interference scenarios by mixing simulated cloud-covered samples

Haoyu Wang (UGent) , Junli Li, Zhanfeng Shen, Zihan Zhang, Linze Bai, Ruifeng Li (UGent) , Chenghu Zhou, Philippe De Maeyer (UGent) and Tim Van de Voorde (UGent)

(2024) INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION. 133.

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Journal Article
A1
open access

Sample size effect on musculoskeletal segmentation : how low can we go?

Roel Huysentruyt (UGent) , Ide Van den Borre (UGent) , Srdan Lazendic (UGent) , Kate Duquesne (UGent) , Aline Van Oevelen (UGent) , Jing LI (UGent) , Arne Burssens (UGent) , Aleksandra Pizurica (UGent) and Emmanuel Audenaert (UGent)

(2024) ELECTRONICS. 13(10).

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Safety Monitoring of Transportation Infrastructure Foundation: Intelligent Recognition of Subgrade Distresses Based on B-Scan GPR Images

Zijin Xu, Xin Yu, Zhuo Liu (UGent) , Song Zhang, Qinxia Sun, Ning Chen, Haotian Lv, Dawei Wang and Yue Hou

(2023) IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS. 24(12). p.15468-15477

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Journal Article
A1
open access

Automatic extraction of specimens from multi-specimen herbaria

Kenzo Milleville (UGent) , Krishna Kumar Thirukokaranam Chandrasekar (UGent) and Steven Verstockt (UGent)

(2023) ACM JOURNAL ON COMPUTING AND CULTURAL HERITAGE. 16(1).

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Conference Paper
P1
open access

Transfer learning for robust low-resource children’s speech ASR with transformers and source-filter warping

Jenthe Thienpondt (UGent) and Kris Demuynck (UGent)

(2022) INTERSPEECH 2022. In Interspeech p.2213-2217

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Journal Article
A2
open access

Evaluating the impact of integrating similar translations into neural machine translation

Arda Tezcan (UGent) and Bram Bulté

(2022) INFORMATION. 13(1).

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Data Aaugmentation and intelligent recognition in pavement texture using a deep learning

Ning Chen, Zijin Xu, Zhuo Liu (UGent) , Yihan Chen, Yinghao Miao, Qiuhan Li, Yue Hou and Linbing Wang

(2022) IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS. 23(12). p.25427-25436

Academic Bibliography

Data quality strategies in gas metal arc welding production for machine learning applications

RGB-to-infrared translation using ensemble learning applied to driving scenarios

Assessing the reliability of point mutation as data augmentation for deep learning with genomic data

Improving semantic segmentation accuracy in thin cloud interference scenarios by mixing simulated cloud-covered samples

Sample size effect on musculoskeletal segmentation : how low can we go?

Safety Monitoring of Transportation Infrastructure Foundation: Intelligent Recognition of Subgrade Distresses Based on B-Scan GPR Images

Automatic extraction of specimens from multi-specimen herbaria

Transfer learning for robust low-resource children’s speech ASR with transformers and source-filter warping

Evaluating the impact of integrating similar translations into neural machine translation

Data Aaugmentation and intelligent recognition in pavement texture using a deep learning

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