Academic Bibliography

Search 200 years of publications by Ghent University researchers.

Jorge Rodriguez Echeverría

Faculty of Engineering and Architecture > Department of Industrial Systems Engineering and Product Design

ORCID iD: 0000-0002-7878-1471

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- Conference Paper
Towards a Smart Combination of Human and Artificial Intelligence for Manufacturing

Jan Van den Bergh, Jorge Rodriguez Echeverría (UGent) and Sidharta Gautama (UGent)

(2024) Design for Equality and Justice. p.20-30
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- Conference Paper
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, José Neves, Martin Schnall, Matthias Hartmann and Sidharta Gautama (UGent)

(2024) Distributed Computing and Artificial Intelligence, 21st International Conference.
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Towards a zero-defect in welding : an exploration of factors to improve the training data for image classification

Negin JavanbakhtGhahfarokhi (UGent) , Angel J. Lopez (UGent) , Jorge Rodriguez Echeverría (UGent) and Sidharta Gautama (UGent)

(2024) Intelligent systems and applications : proceedings of the 2024 Intelligent Systems Conference (IntelliSys) : volume 1. In Intelligent systems and applications 1065. p.471-485
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- Journal Article
- A1
- open access
Hybrid intelligence failure analysis for industry 4.0 : a literature review and future prospective

Mahdi Mokhtarzadeh (UGent) , Jorge Rodriguez Echeverría (UGent) , Ivana Semanjski (UGent) and Sidharta Gautama (UGent)

(2024) JOURNAL OF INTELLIGENT MANUFACTURING.
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Service response time estimation in crowdsourced processing chain

Jorge Rodriguez Echeverría (UGent) , Casper Van Gheluwe (UGent) , Daniel Ochoa and Sidharta Gautama (UGent)

(2023) Intelligent Systems and Applications : proceedings of the 2022 Intelligent Systems Conference (IntelliSys) : Volume 1. In Lecture notes in networks and systems 542. p.546-557
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- Journal Article
- A1
- open access
Density-based spatial clustering and ordering points approach for characterizations of tourist behaviour

Jorge Rodriguez Echeverría (UGent) , Ivana Semanjski (UGent) , Casper Van Gheluwe (UGent) , Daniel Ochoa, Harm IJben and Sidharta Gautama (UGent)

(2020) ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION. 9(11).
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Efficient use of geographical information systems for improving transport mode classification

Jorge Rodriguez Echeverría (UGent) , Sidharta Gautama (UGent) , Nico Van de Weghe (UGent) , Daniel Ochoa and Benhur Ortiz Jaramillo (UGent)

(2018) DATA ANALYTICS 2018 : the seventh international conference on data analytics. p.130-135
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- Journal Article
- A1
- open access
Unsupervised hierarchical clustering approach for tourism market segmentation based on crowdsourced mobile phone data

Jorge Rodriguez Echeverría (UGent) , Ivana Semanjski (UGent) , Sidharta Gautama (UGent) , Nico Van de Weghe (UGent) and Daniel Ochoa

(2018) SENSORS. 18(9).
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- Conference Paper
- P1
- open access
A methodology for train trip identification in mobility campaigns based on smartphones

Jorge Rodriguez Echeverría (UGent) , Sidharta Gautama (UGent) and Daniel Ochoa

(2017) 2017 IEEE FIRST SUMMER SCHOOL ON SMART CITIES (S3C). p.141-144