Narrative Review
Narrative reviews synthesize existing research to provide a comprehensive overview of a specific topic, aiming to identify key trends, gaps, and future research directions. Current research focuses on applying narrative reviews across diverse fields, employing various model architectures like graph neural networks, large language models, and diffusion models to analyze complex data and improve model interpretability and efficiency. This approach is crucial for advancing scientific understanding and informing the development of practical applications in areas such as medicine, engineering, and manufacturing.
Papers
February 18, 2022
February 17, 2022
February 15, 2022
February 3, 2022
February 2, 2022
February 1, 2022
January 31, 2022
January 30, 2022
January 27, 2022
January 25, 2022
January 23, 2022
January 22, 2022
Artificial Intelligence for Suicide Assessment using Audiovisual Cues: A Review
Sahraoui Dhelim, Liming Chen, Huansheng Ning, Chris Nugent
What and How Are We Reporting in HRI? A Review and Recommendations for Reporting Recruitment, Compensation, and Gender
Julia R. Cordero, Thomas R. Groechel, Maja J. Matarić
Blind Image Deblurring: a Review
Zhengrong Xue
January 20, 2022
January 10, 2022
January 7, 2022
December 29, 2021
December 21, 2021