AUW-CE Mining Algorithms & Dataset Hub by Shuaikang Yuan (21091847)

“…<p dir="ltr">High Utility Co-location Pattern Mining (HUCPM), as an important branch of spatial data mining, aims to extract patterns with utility values that meet or exceed a predefined threshold based on user-defined utility criteria (e.g., cost, profit). …”

The detailed parameters of shallow learning algorithms. by Lin Yuan (46306)

Subjects:

Data structure of the algorithm. by Jingchang Zhao (9192073)

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Digital design of the opencast coal mine’s dump site applying the precise TIN clipping algorithm. by Jingchang Zhao (9192073)

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Improved DBSCAN clustering algorithm. by Xinhuan Zhang (9541577)

Data and codes for the paper "Machine-Learning-Enabled Spatial Pattern Mining: Evaluating the Impact of Imperfect Inputs". by Zhili Li (18836803)

“…<p dir="ltr">Spatial pattern mining (SPM) aims to detect geographic locations or areas that present interesting, nontrivial, and potentially useful patterns. …”

Comparison of positioning accuracy based on Sage-Husa adaptive filtering algorithm. by Xinhuan Zhang (9541577)

Spatial domain-based image steganography techniques. by Richard Apau (19681534)

PhD Defense: Threshold-based Association Analysis Frameworks for Continuous Variables by Md Mahin (21434966)

“…Norma also employs a grid-based spatial hotspot-growing algorithm to discover high-interestingness regions and pairs of thresholds that generate interestingness surpassing a predefined threshold. …”

PhD Proposal Defense: Threshold-based Association Analysis Frameworks for Continuous Variables by Md Mahin (21434966)

“…Norma also employs a grid-based spatial hotspot-growing algorithm to discover high-interestingness regions and pairs of thresholds that generate interestingness surpassing a predefined threshold. …”

Poster: Sirius: A density-based colocation mining framework for sets of continuous spatial variables by Md Mahin (21434966)

Fusion of gridded satellite and earth-observed daily precipitation data in the United States using tree-based ensemble learning algorithms by Georgia Papacharalampous (4399993)

“…The same procedures often rely on the application of machine and statistical learning regression algorithms in spatial settings. …”

SICNet - A Spatiotemporal Deep Neural Network for Arctic Sea Ice Forecasting.pdf by Sahara Ali (12419565)

Comparison of Traffic Accident Risk Prediction Models Based on Different Algorithms. by Hao Li (31608)

Molecular Graph-Based Deep Learning Algorithm Facilitates an Imaging-Based Strategy for Rapid Discovery of Small Molecules Modulating Biomolecular Condensates by Peng Gao (35465)

“…We demonstrated that the GCN-based deep learning algorithm is suitable for spatial information extraction from the molecular graph. …”

Molecular Graph-Based Deep Learning Algorithm Facilitates an Imaging-Based Strategy for Rapid Discovery of Small Molecules Modulating Biomolecular Condensates by Peng Gao (35465)

“…We demonstrated that the GCN-based deep learning algorithm is suitable for spatial information extraction from the molecular graph. …”

2024 IEEE International Conference on Data Mining Workshops (ICDMW-SSTDM)- Sirius: A density-based colocation mining framework for sets of continuous spatial variables by Md Mahin (21434966)

Performance comparison of different algorithms. by Zhengyang Wang (4349938)

Learning-based colorization of grayscale Corona satellite image. by Safia Loulad (16913691)

Leveraging Supervised Machine Learning Algorithms for System Suitability Testing of Mass Spectrometry Imaging Platforms by Russell R. Kibbe (15352075)

“…However, mass spectrometry imaging (MSI) analyses present added complexity since both chemical and spatial information are measured. Herein, we employ various machine learning algorithms and a novel quality control mixture to classify the working conditions of an MSI platform. …”