Ghent University Academic Bibliography

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Hyperdimensional computing : a fast, robust, and interpretable paradigm for biological data

Michiel Stock (UGent) , Wim Van Criekinge (UGent) , Dimitri Boeckaerts, Steff Taelman (UGent) , Maxime Van Haeverbeke (UGent) , Pieter Dewulf and Bernard De Baets (UGent)

(2024) PLOS COMPUTATIONAL BIOLOGY. 20(9).
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The successor representation subserves hierarchical abstraction for goal-directed behavior

Sven Wientjes (UGent) and Clay Holroyd (UGent)

(2024) PLOS COMPUTATIONAL BIOLOGY. 20(2).
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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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Benchmarking digital PCR partition classification methods with empirical and simulated duplex data

Yao Chen (UGent) , Ward De Spiegelaere (UGent) , Wim Trypsteen (UGent) , David Gleerup (UGent) , Jo Vandesompele (UGent) , Antoon Lievens (UGent) , Matthijs Vynck (UGent) and Olivier Thas (UGent)

(2024) BRIEFINGS IN BIOINFORMATICS. 25(3).
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Intra-V1 functional networks and classification of observed stimuli

Marlis Ontivero Ortega, Jorge Iglesias-Fuster, Jhoanna Perez-Hidalgo, Daniele Marinazzo (UGent) , Mitchell Valdes-Sosa and Pedro Valdes-Sosa

(2024) FRONTIERS IN NEUROINFORMATICS. 18.
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Learning environment-specific learning rates

Jonas Simoens (UGent) , Tom Verguts (UGent) and Senne Braem (UGent)

(2024) PLOS COMPUTATIONAL BIOLOGY. 20(3).
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A low-dimensional approximation of optimal confidence

Pierre Le Denmat, Tom Verguts (UGent) and Kobe Desender

(2024) PLOS COMPUTATIONAL BIOLOGY. 20(7).
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Evaluation of single-sample network inference methods for precision oncology

Joke Deschildre, Boris Vandemoortele (UGent) , Jens Uwe Loers (UGent) , Katleen De Preter (UGent) and Vanessa Vermeirssen (UGent)

(2024) NPJ SYSTEMS BIOLOGY AND APPLICATIONS. 10(1).
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Manual versus deep learning measurements to evaluate cumulus expansion of bovine oocytes and its relationship with embryo development in vitro

Annelies Raes (UGent) , Georgios Athanasiou, Nima AzariDolatabad, Hafez Sadeghi, Dario Sebastian Gonzalez Andueza, Josep Lluis Arcos, Jesus Cerquides, Krishna Chaitanya Pavani (UGent) , Geert Opsomer (UGent) , Osvaldo Américo Bogado Pascottini (UGent) , et al.

(2024) COMPUTERS IN BIOLOGY AND MEDICINE. 168.
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Hemodynamics and wall shear metrics in a pulmonary autograft : comparing a fluid-structure interaction and computational fluid dynamics approach

Amith Balasubramanya (UGent) , Lauranne Maes, Filip Rega, Valentina Mazzi, Umberto Morbiducci, Nele Famaey, Joris Degroote (UGent) and Patrick Segers (UGent)

(2024) COMPUTERS IN BIOLOGY AND MEDICINE. 176.

Academic Bibliography

Hyperdimensional computing : a fast, robust, and interpretable paradigm for biological data

The successor representation subserves hierarchical abstraction for goal-directed behavior

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

Benchmarking digital PCR partition classification methods with empirical and simulated duplex data

Intra-V1 functional networks and classification of observed stimuli

Learning environment-specific learning rates

A low-dimensional approximation of optimal confidence

Evaluation of single-sample network inference methods for precision oncology

Manual versus deep learning measurements to evaluate cumulus expansion of bovine oocytes and its relationship with embryo development in vitro

Hemodynamics and wall shear metrics in a pulmonary autograft : comparing a fluid-structure interaction and computational fluid dynamics approach

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