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Frontiers in Artificial Intelligence|June 7, 2021
Reduction of Survey Sites in Dialectology: A New Methodology Based on ClusteringPéter Jeszenszky, Carina Steiner, Adrian LeemannFrontiers in Artificial Intelligence|June 3, 2021
Virtual Cohorts and Synthetic Data in Dementia: An Illustration of Their Potential to Advance ResearchGraciela Muniz-Terrera, Ofer Mendelevitch, Rodrigo Barnes, et al.Frontiers in Artificial Intelligence|May 31, 2021
The Promise of AI in Detection, Diagnosis, and Epidemiology for Combating COVID-19: Beyond the HypeMusa Abdulkareem, Steffen E PetersenFrontiers in Artificial Intelligence|June 14, 2021
A Survey of Topological Machine Learning MethodsFelix Hensel, Michael Moor, Bastian RieckFrontiers in Artificial Intelligence|July 11, 2022
Spectroscopy Approaches for Food Safety Applications: Improving Data Efficiency Using Active Learning and Semi-supervised LearningHuanle Zhang, Nicharee Wisuthiphaet, Hemiao Cui, et al.Frontiers in Artificial Intelligence|May 4, 2023
Next generation immuno-oncology tumor profiling using a rapid, non-invasive, computational biophysics biomarker in early-stage breast cancerDaniel Cook, Matthew Biancalana, Nicole Liadis, et al.Frontiers in Artificial Intelligence|May 14, 2023
Legal linguistic templates and the tension between legal knowledge representation and reasoningTomer LibalFrontiers in Artificial Intelligence|May 11, 2023
No silver bullet: interpretable ML models must be explainedJoao Marques-Silva, Alexey IgnatievFrontiers in Artificial Intelligence|March 29, 2021
Listener Modeling and Context-Aware Music Recommendation Based on Country ArchetypesMarkus Schedl, Christine Bauer, Wolfgang Reisinger, et al.Frontiers in Artificial Intelligence|April 26, 2021
An Overcomplete Approach to Fitting Drift-Diffusion Decision Models to Trial-By-Trial DataQ Feltgen, J DaunizeauPageof 255