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- 2024
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Mark
A suggestion for a test if a calibrated quantitative adverse outcome pathway is chemical agnostic based on between chemical heterogeneity : 38th International Workshop on Statistical Modelling
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
A machine learning framework for spatio-temporal vulnerability mapping of groundwaters to nitrate in a data scarce region in Lenjanat Plain, Iran
(
- Contribution to journal › Article
- 2023
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Mark
How to improve data quality in dog eye tracking
(
- Contribution to journal › Article
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Mark
Fetal programming and parent-of-origin effects of type 2 diabetes and insulin secretion
2023) In Lund University, Faculty of Medicine Doctoral Dissertation Series(
- Thesis › Doctoral thesis (compilation)
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Mark
EasyNER: A Customizable Easy-to-Use Pipeline for Deep Learning- and Dictionary-based Named Entity Recognition from Medical Text
2023)(
- Working paper/Preprint › Preprint in preprint archive
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Mark
Multienzyme deep learning models improve peptide de novo sequencing by mass spectrometry proteomics
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- Contribution to journal › Article
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Mark
Deep learning prediction models based on EHR trajectories : A systematic review
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- Contribution to journal › Scientific review
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Mark
Parallel matters : Efficient polyp segmentation with parallel structured feature augmentation modules
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- Contribution to journal › Article
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Mark
The Bcm rule allows a spinal cord model to learn rhythmic movements
(
- Contribution to journal › Article
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Mark
805P Tumor-informed ctDNA detection as a predictive marker for postoperative residual disease in epithelial ovarian cancer: A feasibility study
(
- Contribution to journal › Published meeting abstract