A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
John Hancock, Taghi M. Khoshgoftaar
This paper provides the first interdisciplinary survey of CatBoost for big data, covering both its strengths and weaknesses in classification and regression tasks.
Yan Yan, Yuxing Mao, Bo Li
Proposes SECOND, a sparse convolutional network with angle loss regression and data augmentation for fast and accurate 3D object detection from LiDAR.
Unknown
A comprehensive survey of mixture of experts models for regression and classification, including training methods.
Chiara Pavese, Lucas M. Bachmann, Martin Schubert, et al.
This paper develops and validates a logistic regression model using the ISNCSCI total motor score to predict independent bowel management one year after traumatic spinal cord injury.