Ghent University Academic Bibliography

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Your filters: cql: keyword exact "artificial-intelligence"

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Challenges in translational machine learning

Artuur Couckuyt (UGent) , Ruth Seurinck (UGent) , Annelies Emmaneel (UGent) , Katrien Quintelier (UGent) , David Novák (UGent) , Sofie Van Gassen (UGent) and Yvan Saeys (UGent)

(2022) HUMAN GENETICS.
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A collaboration between judge and machine to reduce legal uncertainty in disputes concerning ex aequo et bono compensations

Wim De Mulder (UGent) , Peggy Valcke and Joke Baeck (UGent)

(2022) ARTIFICIAL INTELLIGENCE AND LAW.
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Paradoxical tensions related to AI-powered evaluation systems in competitive sports

Elena Mazurova, Willem Standaert (UGent) , Esko Penttinen and Felix Ter Chian Tan

(2022) INFORMATION SYSTEMS FRONTIERS. 24(3). p.897-922
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An international survey on AI in radiology in 1041 radiologists and radiology residents part 2 : expectations, hurdles to implementation, and education

M Huisman, Erik Ranschaert (UGent) , W Parker, D Mastrodicasa, M Koci, D Pinto de Santos, F Coppola, S Morozov, M Zins, C Bohyn, et al.

(2021) EUROPEAN RADIOLOGY. 31(11). p.8797-8806
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Enabling and leveraging AI in the intelligent edge : a review of current trends and future directions

Tom Goethals (UGent) , Bruno Volckaert (UGent) and Filip De Turck (UGent)

(2021) IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY. 2. p.2311-2341
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Skin lesions of face and scalp : classification by a market-approved convolutional neural network in comparison with 64 dermatologists

Holger Andreas Haenssle, Julia Katharina Winkler, Christine Fink, Ferdinand Toberer, Alexander Enk, Wilhelm Stolz, Teresa Deinlein, Rainer Hofmann-Wellenhof, Harald Kittler, Philipp Tschandl, et al.

(2021) EUROPEAN JOURNAL OF CANCER. 144. p.192-199
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Machine learning in chemical engineering : strengths, weaknesses, opportunities, and threats

Maarten Dobbelaere (UGent) , Pieter Plehiers, Ruben Van de Vijver (UGent) , Christian Stevens (UGent) and Kevin Van Geem (UGent)

(2021) ENGINEERING. 7(9). p.1201-1211
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Machine learning based interpretation of microkinetic data : a Fischer-Tropsch synthesis case study

Anoop Chakkingal (UGent) , Pieter Janssens (UGent) , Jeroen Poissonnier (UGent) , Alan Josue Barrios Medina (UGent) , Mirella Virginie, Andrei Khodakov and Joris Thybaut (UGent)

(2021) REACTION CHEMISTRY & ENGINEERING. 7(1). p.101-110
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Colloidal fouling in electrodialysis : a neural differential equations model

Bram De Jaegher (UGent) , Eneko Larumbe, Wim De Schepper, Arne Verliefde (UGent) and Ingmar Nopens (UGent)

(2020) SEPARATION AND PURIFICATION TECHNOLOGY. 249.
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Radiologists as co-authors in case reports : does their involvement make a difference?

Jan Bosmans (UGent) , Elisa Luyckx, Bart Broeckx (UGent) , Sarah Ceyssens, Paul M. Parizel and Annemie Snoeckx

(2020) ACTA RADIOLOGICA. 61(3). p.338-343

Academic Bibliography

Challenges in translational machine learning

A collaboration between judge and machine to reduce legal uncertainty in disputes concerning ex aequo et bono compensations

Paradoxical tensions related to AI-powered evaluation systems in competitive sports

An international survey on AI in radiology in 1041 radiologists and radiology residents part 2 : expectations, hurdles to implementation, and education

Enabling and leveraging AI in the intelligent edge : a review of current trends and future directions

Skin lesions of face and scalp : classification by a market-approved convolutional neural network in comparison with 64 dermatologists

Machine learning in chemical engineering : strengths, weaknesses, opportunities, and threats

Machine learning based interpretation of microkinetic data : a Fischer-Tropsch synthesis case study

Colloidal fouling in electrodialysis : a neural differential equations model

Radiologists as co-authors in case reports : does their involvement make a difference?

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