| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A boundary-guided transformer for measuring distance from rectal tumor to anal verge on magnetic resonance images
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Shen, Jianjun
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4 |
p.
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artikel
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| 2 |
Accelerating health system innovation: principles and practices from the Duke Institute for Health Innovation
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Sandhu, Sahil
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4 |
p.
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artikel
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| 3 |
A comprehensive benchmark for COVID-19 predictive modeling using electronic health records in intensive care
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Gao, Junyi
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4 |
p.
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artikel
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| 4 |
A deep-learning method for the end-to-end prediction of intracranial aneurysm rupture risk
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Li, Peiying
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4 |
p.
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artikel
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| 5 |
A harmonized and spatially explicit dataset from 16 million payments from the European Union's Common Agricultural Policy for 2015
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Nicholas, Kimberly A.
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4 |
p.
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artikel
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| 6 |
An archival perspective on pretraining data
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Desai, Meera A.
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4 |
p.
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artikel
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| 7 |
An evaluation of synthetic data augmentation for mitigating covariate bias in health data
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Juwara, Lamin
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4 |
p.
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artikel
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| 8 |
A review of dynamical systems approaches for the detection of chaotic attractors in cancer networks
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Uthamacumaran, Abicumaran
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4 |
p.
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artikel
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| 9 |
Artificial intelligence-assisted drug repurposing via “chemical-induced gene expression ranking”
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Masuda, Takaaki
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4 |
p.
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artikel
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| 10 |
A Searchable Database of Crystallization Cocktails in the PDB: Analyzing the Chemical Condition Space
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Lynch, Miranda L.
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4 |
p.
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artikel
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| 11 |
A systematic review of multimodal brain age studies: Uncovering a divergence between model accuracy and utility
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Jirsaraie, Robert J.
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4 |
p.
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artikel
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| 12 |
Bridging Domain and Data
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Carpenter, Anne E.
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4 |
p.
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artikel
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| 13 |
Chemical-induced gene expression ranking and its application to pancreatic cancer drug repurposing
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Pham, Thai-Hoang
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4 |
p.
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artikel
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| 14 |
Citizen science as a data-based practice: A consideration of data justice
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Christine, Debora Irene
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4 |
p.
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artikel
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| 15 |
Data-driven evaluation of electric vehicle energy consumption for generalizing standard testing to real-world driving
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Yuan, Xinmei
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4 |
p.
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artikel
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| 16 |
Data for Politics: Creating an International Research Infrastructure Measuring Democracy
|
Lindberg, Staffan I.
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4 |
p.
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artikel
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| 17 |
Data science, human intelligence, and therapeutics discovery: An interview with Sean Escola, Saul Kato, and Pavan Ramkumar
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Ramkumar, Pavan
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4 |
p.
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artikel
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| 18 |
Digital data donations: A quest for best practices
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Ohme, Jakob
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4 |
p.
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artikel
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| 19 |
Digital twins and the ethics of health decision-making concerning children
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Braun, Matthias
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4 |
p.
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artikel
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| 20 |
Doing it right: Caring for and protecting patient information for US organ donors and transplant recipients
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Perakslis, Eric D.
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4 |
p.
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artikel
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| 21 |
Do We Need a Coronavirus (Safeguards) Act 2020? Proposed Legal Safeguards for Digital Contact Tracing and Other Apps in the COVID-19 Crisis
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Darbyshire, Tessa
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4 |
p.
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artikel
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| 22 |
Enhancing molecular design efficiency: Uniting language models and generative networks with genetic algorithms
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Bhowmik, Debsindhu
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4 |
p.
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artikel
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| 23 |
Fine-tuning large neural language models for biomedical natural language processing
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Tinn, Robert
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4 |
p.
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artikel
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| 24 |
Gender bias, social bias, and representation in Bollywood and Hollywood
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Khadilkar, Kunal
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4 |
p.
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artikel
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| 25 |
Geometric graphs from data to aid classification tasks with Graph Convolutional Networks
|
Qian, Yifan
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4 |
p.
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artikel
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| 26 |
Growing the pattern: Our first year
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Callaghan, Sarah
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4 |
p.
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artikel
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| 27 |
Harvesting Patterns from Textual Web Sources with Tolerance Rough Sets
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Moghaddam, Hoora Rezaei
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4 |
p.
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artikel
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| 28 |
HCGA: Highly comparative graph analysis for network phenotyping
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Peach, Robert L.
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4 |
p.
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artikel
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| 29 |
Hierarchical confounder discovery in the experiment-machine learning cycle
|
Rogozhnikov, Alex
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4 |
p.
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artikel
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| 30 |
HINT: Hierarchical interaction network for clinical-trial-outcome predictions
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Fu, Tianfan
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4 |
p.
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artikel
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| 31 |
How transparency modulates trust in artificial intelligence
|
Zerilli, John
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4 |
p.
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artikel
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| 32 |
Human Data Science
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Oberski, DL
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4 |
p.
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artikel
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| 33 |
Improving molecular representation learning with metric learning-enhanced optimal transport
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Wu, Fang
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4 |
p.
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artikel
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| 34 |
Machine-learning-assisted rational design of 2D doped tellurene for fin field-effect transistor devices
|
Chen, An
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4 |
p.
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artikel
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| 35 |
Machine learning discovery of high-temperature polymers
|
Tao, Lei
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4 |
p.
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artikel
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| 36 |
Machine vision-assisted identification of the lung adenocarcinoma category and high-risk tumor area based on CT images
|
Chen, Liuyin
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4 |
p.
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artikel
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| 37 |
Moving beyond “algorithmic bias is a data problem”
|
Hooker, Sara
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4 |
p.
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artikel
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| 38 |
Multi-omics analysis of early leaf development in Arabidopsis thaliana
|
Omidbakhshfard, Mohammad Amin
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4 |
p.
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artikel
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| 39 |
No artificial intelligence authors, for now
|
Hufton, Andrew L.
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4 |
p.
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artikel
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| 40 |
On the Importance of Data Transparency
|
Callaghan, Sarah
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4 |
p.
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artikel
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| 41 |
Optimal shrinkage denoising breaks the noise floor in high-resolution diffusion MRI
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Huynh, Khoi
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4 |
p.
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artikel
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| 42 |
Polymer informatics with multi-task learning
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Kuenneth, Christopher
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4 |
p.
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artikel
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| 43 |
Predicting drug response through tumor deconvolution by cancer cell lines
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Hsu, Yu-Ching
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4 |
p.
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artikel
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| 44 |
Preview of machine learning the quantum-chemical properties of metal–organic frameworks for accelerated materials discovery
|
Callaghan, Sarah
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4 |
p.
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artikel
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| 45 |
Quantifying the advantage of domain-specific pre-training on named entity recognition tasks in materials science
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Trewartha, Amalie
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4 |
p.
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artikel
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| 46 |
Quantifying the predictability of renewable energy data for improving power systems decision-making
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Karimi-Arpanahi, Sahand
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4 |
p.
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artikel
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| 47 |
Rapid Trust Calibration through Interpretable and Uncertainty-Aware AI
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Tomsett, Richard
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4 |
p.
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artikel
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| 48 |
reval: A Python package to determine best clustering solutions with stability-based relative clustering validation
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Landi, Isotta
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4 |
p.
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artikel
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| 49 |
SASC: A simple approach to synthetic cohorts for generating longitudinal observational patient cohorts from COVID-19 clinical data
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Khorchani, Takoua
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4 |
p.
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artikel
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| 50 |
Shapley variable importance cloud for interpretable machine learning
|
Ning, Yilin
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4 |
p.
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artikel
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| 51 |
SynapseCLR: Uncovering features of synapses in primary visual cortex through contrastive representation learning
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Wilson, Alyssa
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4 |
p.
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artikel
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| 52 |
The Discomfort of Death Counts: Mourning through the Distorted Lens of Reported COVID-19 Death Data
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Raji, Inioluwa Deborah
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4 |
p.
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artikel
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| 53 |
The Medical Futurist Institute: A vision about the technological future of healthcare
|
Meskó, Bertalan
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4 |
p.
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artikel
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| 54 |
The role of the African value of Ubuntu in global AI inclusion discourse: A normative ethics perspective
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Gwagwa, Arthur
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4 |
p.
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artikel
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| 55 |
Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervision
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Preston, Sam
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4 |
p.
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artikel
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| 56 |
Transitive Sequencing Medical Records for Mining Predictive and Interpretable Temporal Representations
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Estiri, Hossein
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4 |
p.
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artikel
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| 57 |
Using a deep generation network reveals neuroanatomical specificity in hemispheres
|
Wang, Gongshu
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4 |
p.
|
artikel
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| 58 |
Using machine learning to identify important predictors of COVID-19 infection prevention behaviors during the early phase of the pandemic
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Van Lissa, Caspar J.
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4 |
p.
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artikel
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| 59 |
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey
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Zhang, Chongzhen
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4 |
p.
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artikel
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