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Frontiers in Artificial Intelligence|May 2, 2022
Theory of Mind and Preference Learning at the Interface of Cognitive Science, Neuroscience, and AI: A ReviewChristelle Langley, Bogdan Ionut Cirstea, Fabio Cuzzolin, et al.Frontiers in Artificial Intelligence|May 2, 2022
Semantic Representations for NLP Using VerbNet and the Generative LexiconSusan Windisch Brown, Julia Bonn, Ghazaleh Kazeminejad, et al.Frontiers in Artificial Intelligence|May 2, 2022
Integrated Evolutionary Learning: An Artificial Intelligence Approach to Joint Learning of Features and Hyperparameters for Optimized, Explainable Machine LearningNina de Lacy, Michael J Ramshaw, J Nathan KutzFrontiers in Artificial Intelligence|March 21, 2022
An Overview of Current Solutions for Privacy in the Internet of ThingsGuang YangFrontiers in Artificial Intelligence|March 21, 2022
Transfer Across Different Machines by Transfer Function EstimationOmri Matania, Renata Klein, Jacob BortmanFrontiers in Artificial Intelligence|March 21, 2022
Morphology in a Parallel, Distributed, Interactive Architecture of Language ProductionVsevolod KapatsinskiFrontiers in Artificial Intelligence|March 21, 2022
Developing a Cancer Digital Twin: Supervised Metastases Detection From Consecutive Structured Radiology ReportsKaren E Batch, Jianwei Yue, Alex Darcovich, et al.Frontiers in Artificial Intelligence|January 28, 2022
Prediction of E. coli Concentrations in Agricultural Pond Waters: Application and Comparison of Machine Learning AlgorithmsMatthew D Stocker, Yakov A Pachepsky, Robert L HillFrontiers in Artificial Intelligence|January 31, 2022
Keep Calm and Do Not Carry-Forward: Toward Sensor-Data Driven AI Agent to Enhance Human LearningKshitij Sharma, Serena Lee-Cultura, Michail GiannakosFrontiers in Artificial Intelligence|September 30, 2021
Data-Driven Prediction of Fatigue in Parkinson's Disease PatientsDong Goo Lee, Adrian Lindsay, Adam Yu, et al.Pageof 254