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Waegeman, Willem
133  results:
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1

Uncertainty-aware single-cell annotation with a hierarchica..:

Theunissen, Lauren ; Mortier, Thomas ; Saeys, Yvan..
Bioinformatics.  40 (2024)  3 - p. , 2024
Link: https://doi.org/10.1093/..
 
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2

A comparison of embedding aggregation strategies in drug–ta..:

Iliadis, Dimitrios ; De Baets, Bernard ; Pahikkala, Tapio.
BMC Bioinformatics.  25 (2024)  1 - p. , 2024
Link: https://doi.org/10.1186/..
 
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3

Hyperparameter optimization of two-branch neural networks i..:

Iliadis, Dimitrios ; Wever, Marcel ; De Baets, Bernard.
Applied Soft Computing.  , 2024
Link: https://doi.org/10.1016/..
 
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4

A framework for tracing timber following the Ukraine invasi..:

Mortier, Thomas ; Truszkowski, Jakub ; Norman, Marigold...
Nature Plants.  , 2024
Link: https://doi.org/10.1038/..
 
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5

DeepMTP: A Python-based deep learning framework for multi-t..:

Iliadis, Dimitrios ; De Baets, Bernard ; Waegeman, Willem
SoftwareX.  23 (2023)  - p. 101516 , 2023
Link: https://doi.org/10.1016/..
 
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6

Out-of-SampleR2: Estimation and Inference:

Hawinkel, Stijn ; Waegeman, Willem ; Maere, Steven
The American Statistician.  78 (2023)  1 - p. 15-25 , 2023
Link: https://doi.org/10.1080/..
 
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7

Heterogeneity hampers the identification of general pressur..:

Deschepper, Mieke ; Labeau, Sonia O. ; Waegeman, Willem.
Intensive and Critical Care Nursing.  68 (2022)  - p. 103117 , 2022
Link: https://doi.org/10.1016/..
 
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8

Seasonal prediction of Horn of Africa long rains using mach..:

Deman, Victoria M. H. ; Koppa, Akash ; Waegeman, Willem...
Frontiers in Water.  4 (2022)  - p. , 2022
Link: https://doi.org/10.3389/..
 
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9

Multi-target prediction for dummies using two-branch neural..:

Iliadis, Dimitrios ; De Baets, Bernard ; Waegeman, Willem
Machine Learning.  111 (2022)  2 - p. 651-684 , 2022
Link: https://doi.org/10.1007/..
 
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10

Valid prediction intervals for regression problems:

Dewolf, Nicolas ; Baets, Bernard De ; Waegeman, Willem
Artificial Intelligence Review.  56 (2022)  1 - p. 577-613 , 2022
Link: https://doi.org/10.1007/..
 
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11

Novel Transformer Networks for Improved Sequence Labeling i..:

Clauwaert, Jim ; Waegeman, Willem
IEEE/ACM Transactions on Computational Biology and Bioinformatics.  19 (2022)  1 - p. 97-106 , 2022
Link: https://doi.org/10.1109/..
 
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12

Aleatoric and epistemic uncertainty in machine learning: an..:

Hüllermeier, Eyke ; Waegeman, Willem
Machine Learning.  110 (2021)  3 - p. 457-506 , 2021
Link: https://doi.org/10.1007/..
 
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13

CpG Transformer for imputation of single-cell methylomes:

De Waele, Gaetan ; Clauwaert, Jim ; Menschaert, Gerben..
Bioinformatics.  38 (2021)  3 - p. 597-603 , 2021
Link: https://doi.org/10.1093/..
 
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14

Towards harmonization of DNA metabarcoding for monitoring m..:

Van den Bulcke, Laure ; De Backer, Annelies ; Ampe, Bart...
Metabarcoding and Metagenomics.  5 (2021)  - p. , 2021
Link: https://doi.org/10.3897/..
 
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15

Improving the performance of machine learning models for bi..:

Mey, Friederike ; Clauwaert, Jim ; Van Huffel, Kirsten..
Biotechnology Advances.  53 (2021)  - p. 107858 , 2021
Link: https://doi.org/10.1016/..
 
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