Transparency and accountability in AI decision support: Explaining and visualizing convolutional neural networks for text information
Proliferating applications of deep learning, along with the prevalence of large-scale text
datasets, have revolutionized the natural language processing (NLP) field, thereby driving …
datasets, have revolutionized the natural language processing (NLP) field, thereby driving …
A survey of geometric optimization for deep learning: from Euclidean space to Riemannian manifold
Deep Learning (DL) has achieved remarkable success in tackling complex Artificial
Intelligence tasks. The standard training of neural networks employs backpropagation to …
Intelligence tasks. The standard training of neural networks employs backpropagation to …
MS-SSPCANet: A powerful deep learning framework for tool wear prediction
Reliable tool condition monitoring (TCM) system becomes increasingly critical to machinery
efficiency, workpiece quality, and production cost in modern manufacturing industry …
efficiency, workpiece quality, and production cost in modern manufacturing industry …
Proximal gradient method for nonsmooth optimization over the Stiefel manifold
We consider optimization problems over the Stiefel manifold whose objective function is the
summation of a smooth function and a nonsmooth function. Existing methods for solving this …
summation of a smooth function and a nonsmooth function. Existing methods for solving this …
Quality assessment and evaluation criteria in supervised learning
A Painsky - Machine Learning for Data Science Handbook: Data …, 2023 - Springer
Evaluating the performance of a learning algorithm is one of the basic tasks in machine
learning and data science. In this chapter, we review commonly used performance …
learning and data science. In this chapter, we review commonly used performance …
Rapid analysis of meat floss origin using a supervised machine learning-based electronic nose towards food authentication
Authentication of meat floss origin has been highly critical for its consumers due to existing
potential risks of having allergic diseases or religion perspective related to pork-containing …
potential risks of having allergic diseases or religion perspective related to pork-containing …
Exploration of spatial-temporal varying impacts on COVID-19 cumulative case in Texas using geographically weighted regression (GWR)
Since COVID-19 is extremely threatening to human health, it is significant to determine its
impact factors to curb the virus spread. To tackle the complexity of COVID-19 expansion on a …
impact factors to curb the virus spread. To tackle the complexity of COVID-19 expansion on a …
Assessment of Lake water quality and eutrophication risk in an agricultural irrigation area: A case study of the Chagan Lake in Northeast China
X Liu, G Zhang, G Sun, Y Wu, Y Chen - Water, 2019 - mdpi.com
Water quality safety is the key factor to maintain the ecosystem service functions of lakes.
Field investigations and statistical analyses were carried out to study the water quality of a …
Field investigations and statistical analyses were carried out to study the water quality of a …
[HTML][HTML] Salinization as a driver of eutrophication symptoms in an urban lake (Lake Wilcox, Ontario, Canada)
Lake Wilcox (LW), a shallow kettle lake located in southern Ontario, has experienced
multiple phases of land use change associated with human settlement and residential …
multiple phases of land use change associated with human settlement and residential …
Stochastic higher-order independent component analysis for hyperspectral dimensionality reduction
Hyperspectral imaging is a remote sensing technique that measures the spectrum of each
pixel in the image of a scene. Various methods have been developed to reduce the spectral …
pixel in the image of a scene. Various methods have been developed to reduce the spectral …