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Frontiers in Artificial Intelligence|October 7, 2024
MLGCN: an ultra efficient graph convolutional neural model for 3D point cloud analysisMohammad Khodadad, Ali Shiraee Kasmaee, Hamidreza Mahyar, et al.Frontiers in Artificial Intelligence|October 14, 2024
Towards enhanced creativity in fashion: integrating generative models with hybrid intelligenceAlexander Ryjov, Vagan Kazaryan, Andrey Golub, et al.Frontiers in Artificial Intelligence|September 11, 2024
Bayesian model of tilling wheat confronting climatic and sustainability challengesQaisar AliFrontiers in Artificial Intelligence|September 9, 2024
Exploring artificial intelligence techniques to research low energy nuclear reactionsAnasse Bari, Tanya Pushkin Garg, Yvonne Wu, et al.Frontiers in Artificial Intelligence|August 21, 2024
Self-attention with temporal prior: can we learn more from the arrow of time?Kyung Geun Kim, Byeong Tak LeeFrontiers in Artificial Intelligence|August 20, 2024
A framework for extending co-creative communication models to sustainability researchGuanhong Li, Xiaoyun GuoFrontiers in Artificial Intelligence|September 3, 2024
Diagnostic performance of AI-based models versus physicians among patients with hepatocellular carcinoma: a systematic review and meta-analysisFeras Al-Obeidat, Wael Hafez, Muneir Gador, et al.Frontiers in Artificial Intelligence|September 2, 2024
Person-based design and evaluation of MIA, a digital medical interview assistant for radiologyKerstin Denecke, Daniel Reichenpfader, Dominic Willi, et al.Frontiers in Artificial Intelligence|August 7, 2024
From outputs to insights: a survey of rationalization approaches for explainable text classificationErick Mendez Guzman, Viktor Schlegel, Riza Batista-NavarroFrontiers in Artificial Intelligence|August 5, 2024
One or two things we know about concept drift-a survey on monitoring in evolving environments. Part B: locating and explaining concept driftFabian Hinder, Valerie Vaquet, Barbara HammerPageof 263