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Dalton D. Lunga
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- affiliation: Oak Ridge National Laboratory, USA
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2020 – today
- 2022
- [j19]Dalton D. Lunga
, Rohan Dhamdhere
, Sarah Walters
, Lauryn Bragg
, Nikhil Makkar
, Marie L. Urban
:
Learning to Count Grave Sites for Cemetery Observation Models With Satellite Imagery. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j18]Philipe A. Dias
, Yuxin Tian
, Shawn D. Newsam
, Aristeidis Tsaris
, Jacob D. Hinkle
, Dalton D. Lunga
:
Model Assumptions and Data Characteristics: Impacts on Domain Adaptation in Building Segmentation. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [c28]Ronny Hänsch, Jacob Arndt, Dalton D. Lunga, Matthew Gibb, Tyler Pedelose, Arnold P. Boedihardjo, Desiree Petrie, Todd M. Bacastow:
SpaceNet 8 - The Detection of Flooded Roads and Buildings. CVPR Workshops 2022: 1471-1479 - [c27]Philipe A. Dias, Dalton D. Lunga:
Embedding Ethics and Trustworthiness for Sustainable AI in Earth Sciences: Where Do We Begin? IGARSS 2022: 4639-4642 - [c26]Dalton D. Lunga, Philipe A. Dias:
Advancing Data Fusion in Earth Sciences. IGARSS 2022: 5077-5080 - [c25]Snehalkumar (Neil) S. Gaikwad, Shankar Iyer, Dalton D. Lunga, Takahiro Yabe, Xiaofan Liang, Bhavani Ananthabhotla, Nikhil Behari, Sreelekha Guggilam, Guanghua Chi:
Data-driven Humanitarian Mapping and Policymaking: Toward Planetary-Scale Resilience, Equity, and Sustainability. KDD 2022: 4872-4873 - [e5]Dalton D. Lunga, Shawn D. Newsam:
Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2022, Seattle, Washington, 1 November 2022. ACM 2022, ISBN 978-1-4503-9532-8 [contents] - [i10]Dalton D. Lunga, Yingjie Hu, Shawn D. Newsam, Song Gao, Bruno Martins, Hsiuhan Lexie Yang, Xueqing Deng:
GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research. CoRR abs/2210.13207 (2022) - 2021
- [j17]Dalton D. Lunga, Yingjie Hu, Shawn D. Newsam, Song Gao, Bruno Martins, Hsiuhan Lexie Yang, Xueqing Deng:
GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research. ACM SIGSPATIAL Special 13: 21-32 (2021) - [j16]Dalton D. Lunga, Yingjie Hu, Shawn D. Newsam, Song Gao, Bruno Martins, Hsiu-Han Lexie Yang, Xueqing Deng:
GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research. ACM SIGSPATIAL Special 13(3): 21-32 (2021) - [j15]Jacob Arndt
, Dalton D. Lunga
:
Large-Scale Classification of Urban Structural Units From Remote Sensing Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 2634-2648 (2021) - [j14]Dalton D. Lunga
, Jacob Arndt
, Jonathan Gerrand
, Robert N. Stewart
:
ReSFlow: A Remote Sensing Imagery Data-Flow for Improved Model Generalization. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 10468-10483 (2021) - [c24]Abhishek Kumar Dubey, Michael T. Young, Christopher Stanley
, Dalton D. Lunga, Jacob D. Hinkle:
Computer-aided Abnormality Detection in Chest Radiographs in a Clinical Setting via Domain-adaptation. BIOIMAGING 2021: 65-72 - [c23]Ranjeet Devarakonda, Kavya Guntupally, Michele Thornton, Yaxing Wei, Debjani Singh, Dalton D. Lunga:
FAIR Interfaces for Geospatial Scientific Data Searches. GeoSearch@SIGSPATIAL 2021: 1-4 - [c22]Snehalkumar (Neil) S. Gaikwad, Shankar Iyer, Dalton D. Lunga, Elizabeth Bondi:
Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning. KDD 2021: 4125-4126 - [c21]Aristeidis Tsaris, Jacob D. Hinkle, Dalton D. Lunga, Philipe Ambrozio Dias:
Distributed Training for High Resolution Images: A Domain and Spatial Decomposition Approach. RSDHA@SC 2021: 27-33 - [e4]Dalton D. Lunga, Hsiuhan Lexie Yang, Song Gao, Bruno Martins, Yingjie Hu, Xueqing Deng, Shawn D. Newsam:
GeoAI@SIGSPATIAL 2021: Proceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, Beijing, China, November 2, 2021. ACM 2021, ISBN 978-1-4503-9120-7 [contents] - [e3]Gabriele Cavallaro, Dora B. Heras, Dalton D. Lunga, Martin Werner, Andreas Züfle:
GeoSearch'21: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, Virtual Event / Beijing, China, 2 November 2021. ACM 2021, ISBN 978-1-4503-9123-8 [contents] - [i9]Snehalkumar (Neil) S. Gaikwad, Shankar Iyer, Dalton D. Lunga, Elizabeth Bondi:
Proceedings of KDD 2021 Workshop on Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning. CoRR abs/2109.00100 (2021) - [i8]Snehalkumar (Neil) S. Gaikwad, Shankar Iyer, Dalton D. Lunga, Yu-Ru Lin:
Proceedings of KDD 2020 Workshop on Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning. CoRR abs/2109.00435 (2021) - 2020
- [j13]Pranab Kanti Roy Chowdhury
, Jeanette E. Weaver, Eric M. Weber
, Dalton D. Lunga, St. Thomas M. LeDoux, Amy N. Rose
, Budhendra L. Bhaduri
:
Electricity consumption patterns within cities: application of a data-driven settlement characterization method. Int. J. Digit. Earth 13(1): 119-135 (2020) - [j12]Arthur Elmes
, Seyed Hamed Alemohammad
, Ryan Avery, Kelly K. Caylor
, J. Ronald Eastman, Lewis Fishgold, Mark A. Friedl, Meha Jain, Divyani Kohli, Juan Carlos Laso Bayas
, Dalton D. Lunga, Jessica L. McCarty
, Robert Gilmore Pontius Jr.
, Andrew B. Reinmann, John Rogan, Lei Song, Hristiana Stoynova, Su Ye, Zhuang-Fang Yi, Lyndon D. Estes
:
Accounting for Training Data Error in Machine Learning Applied to Earth Observations. Remote. Sens. 12(6): 1034 (2020) - [j11]Dalton D. Lunga
, Jonathan Gerrand
, Hsiuhan Lexie Yang
, Christopher Layton, Robert N. Stewart
:
Apache Spark Accelerated Deep Learning Inference for Large Scale Satellite Image Analytics. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 271-283 (2020) - [c20]Sudip K. Seal, Seung-Hwan Lim, Dali Wang, Jacob D. Hinkle, Dalton D. Lunga, Aristeidis Tsaris:
Toward Large-Scale Image Segmentation on Summit. ICPP 2020: 27:1-27:11 - [c19]Jacob Arndt, Dalton D. Lunga:
Sampling Subjective Polygons for Patch-Based Deep Learning Land-Use Classification in Satellite Images. IGARSS 2020: 1953-1956 - [c18]Tao Liu, Dalton D. Lunga:
Automated Openstreetmap Data Alignment for Road Network Mapping. IGARSS 2020: 2603-2606 - [i7]Abhishek Kumar Dubey, Michael T. Young, Christopher Stanley, Dalton D. Lunga, Jacob D. Hinkle:
Computer-aided abnormality detection in chest radiographs in a clinical setting via domain-adaptation. CoRR abs/2012.10564 (2020)
2010 – 2019
- 2019
- [j10]Kuldeep R. Kurte
, Jibonananda Sanyal, Anne Berres
, Dalton D. Lunga, Mark Coletti
, Hsiuhan Lexie Yang
, Daniel Graves, Benjamin Liebersohn, Amy N. Rose
:
Performance analysis and optimization for scalable deployment of deep learning models for country-scale settlement mapping on Titan supercomputer. Concurr. Comput. Pract. Exp. 31(20) (2019) - [j9]Yingjie Hu, Song Gao
, Dalton D. Lunga, Wenwen Li, Shawn D. Newsam
, Budhendra Bhaduri:
GeoAI at ACM SIGSPATIAL: progress, challenges, and future directions. ACM SIGSPATIAL Special 11(2): 5-15 (2019) - [j8]Song Gao, Shawn D. Newsam
, Liang Zhao, Dalton D. Lunga, Yingjie Hu, Bruno Martins, Xun Zhou, Feng Chen:
GeoAI 2019 workshop report: The 3nd ACM SIGSPATIAL International Workshop on GeoAI: AI for Geographic Knowledge Discovery: Seattle, WA, USA - November 5, 2019. ACM SIGSPATIAL Special 11(3): 23-24 (2019) - [c17]Tao Liu, Hsiuhan Lexie Yang, Dalton D. Lunga:
Towards Misregistration-Tolerant Change Detection using Deep Learning Techniques with Object-Based Image Analysis. SIGSPATIAL/GIS 2019: 420-423 - [c16]Xueqing Deng, Hsiuhan Lexie Yang, Nikhil Makkar, Dalton D. Lunga:
Large Scale Unsupervised Domain Adaptation of Segmentation Networks with Adversarial Learning. IGARSS 2019: 4955-4958 - [c15]Jacob Arndt, Dalton D. Lunga, Jeanette E. Weaver, St. Thomas M. LeDoux, Sarah Tennille:
Multiscale Based Characterization and Classification of Urban Land-Use. IGARSS 2019: 9470-9473 - [c14]Mark Coletti
, Dalton D. Lunga, Jeffrey K. Bassett, Amy N. Rose:
Evolving Larger Convolutional Layer Kernel Sizes for a Settlement Detection Deep-Learner on Summit. DLS@SC 2019: 36-44 - [e2]Song Gao, Shawn D. Newsam, Liang Zhao, Dalton D. Lunga, Yingjie Hu, Bruno Martins, Xun Zhou, Feng Chen:
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI@SIGSPATIAL 2019, Chicago, IL, USA, November 5, 2019. ACM 2019, ISBN 978-1-4503-6957-2 [contents] - [i6]Dalton D. Lunga, Jonathan Gerrand, Hsiuhan Lexie Yang, Christopher Layton, Robert N. Stewart:
Apache Spark Accelerated Deep Learning Inference for Large Scale Satellite Image Analytics. CoRR abs/1908.04383 (2019) - 2018
- [j7]Yingjie Hu, Song Gao
, Shawn D. Newsam
, Dalton D. Lunga:
GeoAI 2018 workshop report the 2nd ACM SIGSPATIAL international workshop on GeoAI: AI for geographic knowledge discovery seattle, WA, USA - November 6, 2018. ACM SIGSPATIAL Special 10(3): 16 (2018) - [j6]Dalton D. Lunga
, Hsiuhan Lexie Yang
, Andrew Reith, Jeanette E. Weaver
, Jiangye Yuan
, Budhendra L. Bhaduri:
Domain-Adapted Convolutional Networks for Satellite Image Classification: A Large-Scale Interactive Learning Workflow. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(3): 962-977 (2018) - [j5]Hsiuhan Lexie Yang
, Jiangye Yuan
, Dalton D. Lunga, Melanie Laverdiere
, Amy N. Rose
, Budhendra Bhaduri:
Building Extraction at Scale Using Convolutional Neural Network: Mapping of the United States. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(8): 2600-2614 (2018) - [c13]Jeanette E. Weaver, Brian Moore, Andrew Reith, Jacob J. McKee
, Dalton D. Lunga:
A Comparison of Machine Learning Techniques to Extract Human Settlements from High Resolution Imagery. IGARSS 2018: 6412-6415 - [c12]Dalton D. Lunga, Matthew Seals, Budhendra L. Bhaduri:
Multilevel Semantic Labeling of Mobile Homes from Overhead Imagery. IGARSS 2018: 6931-6934 - [e1]Yingjie Hu, Song Gao, Shawn D. Newsam, Dalton D. Lunga:
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAIi@SIGSPATIAL 2018, Seattle, WA, USA, November 6, 2018. ACM 2018, ISBN 978-1-4503-6036-4 [contents] - [i5]Hsiuhan Lexie Yang, Jiangye Yuan, Dalton D. Lunga, Melanie Laverdiere, Amy N. Rose, Budhendra L. Bhaduri:
Building Extraction at Scale using Convolutional Neural Network: Mapping of the United States. CoRR abs/1805.08946 (2018) - 2017
- [c11]Dalton D. Lunga, Hsiu-Han Lexie Yang, Jiangye Yuan, Budhendra L. Bhaduri:
Hashed binary search sampling for convolutional network training with large overhead image patches. IGARSS 2017: 767-770 - [c10]Hsiuhan Lexie Yang, Dalton D. Lunga, Jiangye Yuan:
Toward country scale building detection with convolutional neural network using aerial images. IGARSS 2017: 870-873 - [c9]Dalton D. Lunga, Dilip R. Patlolla, Hsiuhan Lexie Yang, Jeanette E. Weaver, Budhendra L. Bhaduri:
Exploiting convolutional representations for multiscale human settlement detection: Preliminary results. IGARSS 2017: 3779-3782 - [c8]Jonathan Gerrand
, Quentin Williams, Dalton D. Lunga, Adam Pantanowitz
, Shabir Madhi, Nasreen Mahomed:
Paediatric Frontal Chest Radiograph Screening with Fine-Tuned Convolutional Neural Networks. MIUA 2017: 850-861 - [i4]Dalton D. Lunga, Dilip R. Patlolla, Hsiu-Han Lexie Yang, Jeanette E. Weaver, Budhendra L. Bhaduri:
Exploiting Convolutional Representations for Multiscale Human Settlement Detection. CoRR abs/1707.05683 (2017) - [i3]Dalton D. Lunga, Hsiu-Han Lexie Yang, Budhendra L. Bhaduri:
Hashed Binary Search Sampling for Convolutional Network Training with Large Overhead Image Patches. CoRR abs/1707.05685 (2017) - 2014
- [j4]Dalton D. Lunga, Saurabh Prasad, Melba M. Crawford, Okan K. Ersoy:
Manifold-Learning-Based Feature Extraction for Classification of Hyperspectral Data: A Review of Advances in Manifold Learning. IEEE Signal Process. Mag. 31(1): 55-66 (2014) - [j3]Dalton D. Lunga, Okan K. Ersoy:
Multidimensional Artificial Field Embedding With Spatial Sensitivity. IEEE Trans. Geosci. Remote. Sens. 52(2): 1518-1532 (2014) - [c7]Yuhang Zhang, Hsiuhan Lexie Yang, Dalton D. Lunga, Saurabh Prasad, Melba M. Crawford:
Spatial context driven manifold learning for hyperspectral image classification. WHISPERS 2014: 1-4 - 2013
- [j2]Dalton D. Lunga, Okan K. Ersoy:
Spherical Stochastic Neighbor Embedding of Hyperspectral Data. IEEE Trans. Geosci. Remote. Sens. 51(2): 857-871 (2013) - [c6]Dalton D. Lunga, Okan K. Ersoy:
Dynamic hyperspectral embedding with a spatial sensitive graph. IGARSS 2013: 2176-2179 - 2012
- [i2]Dalton D. Lunga, Okan K. Ersoy:
Nonlinear Dynamic Field Embedding: On Hyperspectral Scene Visualization. CoRR abs/1211.6675 (2012) - 2011
- [j1]Dalton D. Lunga, Okan K. Ersoy:
Spherical Classification of Remote Sensing Data. Trans. Mach. Learn. Data Min. 4(2): 75-95 (2011) - [c5]Dalton D. Lunga, Okan K. Ersoy:
Kent mixture model for classification of remote sensing data on spherical manifolds. AIPR 2011: 1-7 - [c4]Dalton D. Lunga, Okan K. Ersoy:
Unsupervised Classification of Hyperspectral Images on Spherical Manifolds. ICDM 2011: 134-146 - [c3]Dalton D. Lunga, Okan K. Ersoy:
Spherical Nearest Neighbor Classification: Application to Hyperspectral Data. MLDM 2011: 170-184 - [i1]Dalton D. Lunga, Sergey Kirshner:
Generating Similar Graphs From Spherical Features. CoRR abs/1105.2965 (2011)
2000 – 2009
- 2006
- [c2]Dalton D. Lunga, Tshilidzi Marwala:
Time Series Analysis Using Fractal Theory and Online Ensemble Classifiers. Australian Conference on Artificial Intelligence 2006: 312-321 - [c1]Dalton D. Lunga, Tshilidzi Marwala:
Online Forecasting of Stock Market Movement Direction Using the Improved Incremental Algorithm. ICONIP (3) 2006: 440-449
Coauthor Index
aka: Hsiu-Han Lexie Yang

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last updated on 2023-03-26 00:48 CET by the dblp team
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