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Frontiers in Artificial Intelligence|May 17, 2021
Generative Adversarial Networks-Enabled Human-Artificial Intelligence Collaborative Applications for Creative and Design Industries: A Systematic Review of Current Approaches and TrendsRowan T Hughes, Liming Zhu, Tomasz Bednarz
Frontiers in Artificial Intelligence|March 18, 2021
Evaluating Personalization: The AB Testing Pitfalls Companies Might Not Be Aware of-A Spotlight on the Automotive Sector WebsitesMaria Esteller-Cucala, Vicenc Fernandez, Diego Villuendas
Frontiers in Artificial Intelligence|September 14, 2023
Artificial intelligence in clinical medicine: catalyzing a sustainable global healthcare paradigmGokul Krishnan, Shiana Singh, Monika Pathania, et al.
Frontiers in Artificial Intelligence|October 28, 2022
Exploring gender biases in ML and AI academic research through systematic literature reviewSunny Shrestha, Sanchari Das
Frontiers in Artificial Intelligence|June 3, 2026
Artificial intelligence in cardiovascular medicine: prevention, diagnosis, and interventionSarab Anand, Marco Tagliafierro, Ali Fatehi Hassanabad, et al.
Frontiers in Artificial Intelligence|June 3, 2026
Artificial intelligence techniques for classification of Alzheimer's disease using neuroimaging data: a reviewY Nibila, M Sivagami
Frontiers in Artificial Intelligence|July 1, 2026
Label tree semantic losses for rich multi-class medical image segmentationJunwen Wang, Oscar MacCormac, William Rochford, et al.
Frontiers in Artificial Intelligence|July 1, 2026
Violation detection in power operation sites based on multi-scale detection and few-shot learningYaokuan Wen, Jun Wang, Qiming Liu, et al.
Frontiers in Artificial Intelligence|June 29, 2026
Agentic AI systems in electrical power systems engineering: current state-of-the-art and challengesSoham Ghosh, Gaurav Mittal
Frontiers in Artificial Intelligence|June 30, 2026
S 3Net: a Synthesis-Segmentation-Spiking Network for Alzheimer's disease detection and segmentationGandham Dhanush Varmaa, Aravindkumar Sekar, Vemisetty Anshul, et al.
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