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10/20/2022
GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research
Geospatial Artificial Intelligence (GeoAI) is an interdisciplinary field...
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09/01/2021
Proceedings of KDD 2020 Workshop on Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning
Humanitarian challenges, including natural disasters, food insecurity, c...
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08/31/2021
Proceedings of KDD 2021 Workshop on Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning
Humanitarian challenges, including natural disasters, food insecurity, c...
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12/19/2020
Computer-aided abnormality detection in chest radiographs in a clinical setting via domain-adaptation
Deep learning (DL) models are being deployed at medical centers to aid r...
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08/08/2019
Apache Spark Accelerated Deep Learning Inference for Large Scale Satellite Image Analytics
The shear volumes of data generated from earth observation and remote se...
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05/23/2018
Building Extraction at Scale using Convolutional Neural Network: Mapping of the United States
Establishing up-to-date large scale building maps is essential to unders...
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07/18/2017
Hashed Binary Search Sampling for Convolutional Network Training with Large Overhead Image Patches
Very large overhead imagery associated with ground truth maps has the po...
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07/18/2017
Exploiting Convolutional Representations for Multiscale Human Settlement Detection
We test this premise and explore representation spaces from a single dee...
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05/15/2011