Ghent University Academic Bibliography

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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
Current limitations in cyberbullying detection : on evaluation criteria, reproducibility, and data scarcity

Chris Emmery, Ben Verhoeven, Guy De Pauw, Gilles Jacobs (UGent) , Cynthia Van Hee (UGent) , Els Lefever (UGent) , Bart Desmet (UGent) , Veronique Hoste (UGent) and Walter Daelemans

(2021) LANGUAGE RESOURCES AND EVALUATION. 55(3). p.597-633
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A rewarding framework for crowdsourcing to increase privacy awareness

Ioannis Chrysakis (UGent) , Giorgos Flouris, Maria Makridaki, Theodore Patkos, Yannis Roussakis, Georgios Samaritakis, Nikoleta Tsampanaki, Elias Tzortzakakis, Elisjana Ymeralli, Tom Seymoens, et al.

(2021) Data and Applications Security and Privacy XXXV. In Lecture Notes in Computer Science 12840. p.259-277
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- Journal Article
- A1
Quantifying local and mesoscale drivers of the urban heat island of Moscow with reference and crowdsourced observations

Mikhail Varentsov, Daniel Fenner, Fred Meier, Timofey Samsonov and Matthias Demuzere (UGent)

(2021) FRONTIERS IN ENVIRONMENTAL SCIENCE. 9.
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- Journal Article
- A1
CrowdQC+ : a quality-control for crowdsourced air-temperature observations enabling world-wide urban climate applications

Daniel Fenner, Benjamin Bechtel, Matthias Demuzere (UGent) , Jonas Kittner and Fred Meier

(2021) FRONTIERS IN ENVIRONMENTAL SCIENCE. 9.
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- Research Data
CONUS-wide LCZ map and Training Areas

Wenwen Zhang, Tianjun Lu, Matthias Demuzere (UGent) , Steve Hankey, Gerald Mills and Benjamin Bechtel

(2020)
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- Journal Article
- A4
- open access
Revisiting co-creation : necessary success factors for crowdsourcing ideas in a consumer business setting

Noel Klein-Reesink (UGent) , Liselot Hudders (UGent) and Lieven De Marez (UGent)

(2020) JOURNAL OF MARKETING AND COMMUNICATION. 3(1). p.95-116
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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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- Journal Article
- A1
- open access
Recognition times for 62 thousand English words : data from the English Crowdsourcing Project

Pawel Mandera (UGent) , Emmanuel Keuleers and Marc Brysbaert (UGent)

(2020) BEHAVIOR RESEARCH METHODS. 52(2). p.741-760
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- Conference Paper
- P1
- open access
Evaluating the data privacy of mobile applications through crowdsourcing

Ioannis Chrysakis (UGent) , Giorgos Flouris, George Ioannidis, Maria Makridaki, Theodore Patkos, Yannis Roussakis, Georgios Samaritakis, Alexandru Stan, Nikoleta Tsampanaki, Elias Tzortzakakis, et al.

(2020) Legal knowledge and information systems. In Frontiers in Artificial Intelligence and Applications 334. p.219-222

Academic Bibliography

Service response time estimation in crowdsourced processing chain

Current limitations in cyberbullying detection : on evaluation criteria, reproducibility, and data scarcity

A rewarding framework for crowdsourcing to increase privacy awareness

Quantifying local and mesoscale drivers of the urban heat island of Moscow with reference and crowdsourced observations

CrowdQC+ : a quality-control for crowdsourced air-temperature observations enabling world-wide urban climate applications

CONUS-wide LCZ map and Training Areas

Revisiting co-creation : necessary success factors for crowdsourcing ideas in a consumer business setting

Density-based spatial clustering and ordering points approach for characterizations of tourist behaviour

Recognition times for 62 thousand English words : data from the English Crowdsourcing Project

Evaluating the data privacy of mobile applications through crowdsourcing

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