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06/08/2023
Real-time GeoAI for High-resolution Mapping and Segmentation of Arctic Permafrost Features
This paper introduces a real-time GeoAI workflow for large-scale image a...
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05/17/2023
Semantic Similarity Measure of Natural Language Text through Machine Learning and a Keyword-Aware Cross-Encoder-Ranking Summarizer – A Case Study Using UCGIS GIS T Body of
Initiated by the University Consortium of Geographic Information Science...
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04/14/2023
GeoGraphViz: Geographically Constrained 3D Force-Directed Graph for Knowledge Graph Visualization
Knowledge graphs are a key technique for linking and integrating cross-d...
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03/29/2023
Applying Machine Learning to Understand Water Security and Water Access Inequality in Underserved Colonia Communities
This paper explores the application of machine learning to enhance our u...
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03/27/2023
ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging
In some medical imaging tasks and other settings where only small parts ...
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03/16/2023
Explainable GeoAI: Can saliency maps help interpret artificial intelligence's learning process? An empirical study on natural feature detection
Improving the interpretability of geospatial artificial intelligence (Ge...
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11/11/2022
GeoAI for Knowledge Graph Construction: Identifying Causality Between Cascading Events to Support Environmental Resilience Research
Knowledge graph technology is considered a powerful and semantically ena...
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07/22/2022
4G 5G Cell-level Multi-indicator Forecasting based on Dense-MLP
With the development of 4G/5G, the rapid growth of traffic has caused a ...
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06/27/2022
Geo-Situation for Modeling Causality of Geo-Events in Knowledge Graphs
This paper proposes a framework for representing and reasoning causality...
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07/27/2021
Ensemble Learning For Mega Man Level Generation
Procedural content generation via machine learning (PCGML) is the proces...
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03/06/2021
Learning from Counting: Leveraging Temporal Classification for Weakly Supervised Object Localization and Detection
This paper reports a new solution of leveraging temporal classification ...
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08/27/2019
Artificial Intelligence Approaches
Artificial Intelligence (AI) has received tremendous attention from acad...
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03/26/2019
Domain Independent SVM for Transfer Learning in Brain Decoding
Brain imaging data are important in brain sciences yet expensive to obta...
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12/04/2018
Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI
While functional magnetic resonance imaging (fMRI) is important for heal...
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05/26/2018
