Time Series Analysis Using Fractal Theory and Online Ensemble Classifiers. - Dalton D. Lunga; Tshilidzi Marwala (Australian Conference on Artificial Intelligence, 2006)

Online Forecasting of Stock Market Movement Direction Using the Improved Incremental Algorithm. - Dalton D. Lunga; Tshilidzi Marwala (ICONIP (3), 2006)

Kent mixture model for classification of remote sensing data on spherical manifolds. - Dalton D. Lunga; Okan K. Ersoy (AIPR, 2011)

Unsupervised Classification of Hyperspectral Images on Spherical Manifolds. - Dalton D. Lunga; Okan K. Ersoy (ICDM, 2011)

Spherical Nearest Neighbor Classification: Application to Hyperspectral Data. - Dalton D. Lunga; Okan K. Ersoy (MLDM, 2011)

Generating Similar Graphs From Spherical Features - Dalton D. Lunga; Sergey Kirshner (CoRR, 2011)

Spherical Classification of Remote Sensing Data. - Dalton D. Lunga; Okan K. Ersoy (Trans. Mach. Learn. Data Min., 2011)

Nonlinear Dynamic Field Embedding: On Hyperspectral Scene Visualization - Dalton D. Lunga; Okan K. Ersoy (CoRR, 2012)

Dynamic hyperspectral embedding with a spatial sensitive graph. - Dalton D. Lunga; Okan K. Ersoy (IGARSS, 2013)

Spherical Stochastic Neighbor Embedding of Hyperspectral Data. - Dalton D. Lunga; Okan K. Ersoy (IEEE Trans. Geosci. Remote. Sens., 2013)

Spatial context driven manifold learning for hyperspectral image classification. - Yuhang Zhang 003; Hsiuhan Lexie Yang; Dalton D. Lunga; Saurabh Prasad; Melba M. Crawford (WHISPERS, 2014)

Manifold-Learning-Based Feature Extraction for Classification of Hyperspectral Data: A Review of Advances in Manifold Learning. - Dalton D. Lunga; Saurabh Prasad; Melba M. Crawford; Okan K. Ersoy (IEEE Signal Process. Mag., 2014)

Multidimensional Artificial Field Embedding With Spatial Sensitivity. - Dalton D. Lunga; Okan K. Ersoy (IEEE Trans. Geosci. Remote. Sens., 2014)

Exploiting convolutional representations for multiscale human settlement detection: Preliminary results. - Dalton D. Lunga; Dilip R. Patlolla; Hsiuhan Lexie Yang; Jeanette E. Weaver; Budhendra L. Bhaduri (IGARSS, 2017)

Hashed binary search sampling for convolutional network training with large overhead image patches. - Dalton D. Lunga; Hsiu-Han Lexie Yang; Jiangye Yuan; Budhendra L. Bhaduri (IGARSS, 2017)

Toward country scale building detection with convolutional neural network using aerial images. - Hsiuhan Lexie Yang; Dalton D. Lunga; Jiangye Yuan (IGARSS, 2017)

Paediatric Frontal Chest Radiograph Screening with Fine-Tuned Convolutional Neural Networks. - Jonathan Gerrand; Quentin Williams; Dalton D. Lunga; Adam Pantanowitz; Shabir Madhi; Nasreen Mahomed (MIUA, 2017)

Exploiting Convolutional Representations for Multiscale Human Settlement Detection. - Dalton D. Lunga; Dilip R. Patlolla; Hsiu-Han Lexie Yang; Jeanette E. Weaver; Budhendra L. Bhaduri (CoRR, 2017)

Hashed Binary Search Sampling for Convolutional Network Training with Large Overhead Image Patches. - Dalton D. Lunga; Hsiu-Han Lexie Yang; Budhendra L. Bhaduri (CoRR, 2017)

Multilevel Semantic Labeling of Mobile Homes from Overhead Imagery. - Dalton D. Lunga; Matthew Seals; Budhendra L. Bhaduri (IGARSS, 2018)

A Comparison of Machine Learning Techniques to Extract Human Settlements from High Resolution Imagery. - Jeanette E. Weaver; Brian Moore; Andrew Reith; Jacob J. McKee; Dalton D. Lunga (IGARSS, 2018)

GeoAI 2018 workshop report the 2nd ACM SIGSPATIAL international workshop on GeoAI: AI for geographic knowledge discovery seattle, WA, USA - November 6, 2018. - Yingjie Hu; Song Gao 001; Shawn D. Newsam; Dalton D. Lunga (ACM SIGSPATIAL Special, 2018)

Domain-Adapted Convolutional Networks for Satellite Image Classification: A Large-Scale Interactive Learning Workflow. - Dalton D. Lunga; Hsiuhan Lexie Yang; Andrew Reith; Jeanette E. Weaver; Jiangye Yuan; Budhendra L. Bhaduri (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Building Extraction at Scale Using Convolutional Neural Network: Mapping of the United States. - Hsiuhan Lexie Yang; Jiangye Yuan; Dalton D. Lunga; Melanie Laverdiere; Amy N. Rose; Budhendra Bhaduri (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Towards Misregistration-Tolerant Change Detection using Deep Learning Techniques with Object-Based Image Analysis. - Tao Liu 020; Hsiuhan Lexie Yang; Dalton D. Lunga (SIGSPATIAL/GIS, 2019)

Multiscale Based Characterization and Classification of Urban Land-Use. - Jacob Arndt; Dalton D. Lunga; Jeanette E. Weaver; St. Thomas M. LeDoux; Sarah Tennille (IGARSS, 2019)

Large Scale Unsupervised Domain Adaptation of Segmentation Networks with Adversarial Learning. - Xueqing Deng; Hsiuhan Lexie Yang; Nikhil Makkar; Dalton D. Lunga (IGARSS, 2019)

Evolving Larger Convolutional Layer Kernel Sizes for a Settlement Detection Deep-Learner on Summit. - Mark Coletti; Dalton D. Lunga; Jeffrey K. Bassett; Amy N. Rose (DLS@SC, 2019)

Performance analysis and optimization for scalable deployment of deep learning models for country-scale settlement mapping on Titan supercomputer. - Kuldeep R. Kurte; Jibonananda Sanyal; Anne Berres; Dalton D. Lunga; Mark Coletti; Hsiuhan Lexie Yang; Daniel Graves; Benjamin Liebersohn; Amy N. Rose (Concurr. Comput. Pract. Exp., 2019)

GeoAI 2019 workshop report: The 3nd ACM SIGSPATIAL International Workshop on GeoAI: AI for Geographic Knowledge Discovery: Seattle, WA, USA - November 5, 2019. - Song Gao 001; Shawn D. Newsam; Liang Zhao 002; Dalton D. Lunga; Yingjie Hu; Bruno Martins 001; Xun Zhou 001; Feng Chen 001 (ACM SIGSPATIAL Special, 2019)

GeoAI at ACM SIGSPATIAL: progress, challenges, and future directions. - Yingjie Hu; Song Gao 001; Dalton D. Lunga; Wenwen Li 002; Shawn D. Newsam; Budhendra Bhaduri (ACM SIGSPATIAL Special, 2019)

Toward Large-Scale Image Segmentation on Summit. - Sudip K. Seal; Seung-Hwan Lim; Dali Wang; Jacob D. Hinkle; Dalton D. Lunga; Aristeidis Tsaris (ICPP, 2020)

Sampling Subjective Polygons for Patch-Based Deep Learning Land-Use Classification in Satellite Images. - Jacob Arndt; Dalton D. Lunga (IGARSS, 2020)

Automated Openstreetmap Data Alignment for Road Network Mapping. - Tao Liu 020; Dalton D. Lunga (IGARSS, 2020)

Electricity consumption patterns within cities: application of a data-driven settlement characterization method. - Pranab Kanti Roy Chowdhury; Jeanette E. Weaver; Eric M. Weber; Dalton D. Lunga; St. Thomas M. LeDoux; Amy N. Rose; Budhendra L. Bhaduri (Int. J. Digit. Earth, 2020)

Accounting for Training Data Error in Machine Learning Applied to Earth Observations. - 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; et al. (Remote. Sens., 2020)

Apache Spark Accelerated Deep Learning Inference for Large Scale Satellite Image Analytics. - Dalton D. Lunga; Jonathan Gerrand; Hsiuhan Lexie Yang; Christopher Layton; Robert N. Stewart (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Computer-aided Abnormality Detection in Chest Radiographs in a Clinical Setting via Domain-adaptation. - Abhishek Kumar Dubey; Michael T. Young; Christopher B. Stanley; Dalton D. Lunga; Jacob D. Hinkle (BIOIMAGING, 2021)

FAIR Interfaces for Geospatial Scientific Data Searches. - Ranjeet Devarakonda; Kavya Guntupally; Michele Thornton; Yaxing Wei; Debjani Singh; Dalton D. Lunga (GeoSearch@SIGSPATIAL, 2021)

Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning. - Snehalkumar (Neil) S. Gaikwad; Shankar Iyer; Dalton D. Lunga; Elizabeth Bondi (KDD, 2021)

Distributed Training for High Resolution Images: A Domain and Spatial Decomposition Approach. - Aristeidis Tsaris; Jacob D. Hinkle; Dalton D. Lunga; Philipe Ambrozio Dias (RSDHA@SC, 2021)

Proceedings of KDD 2021 Workshop on Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning. - Snehalkumar (Neil) S. Gaikwad; Shankar Iyer; Dalton D. Lunga; Elizabeth Bondi (CoRR, 2021)

Proceedings of KDD 2020 Workshop on Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning. - Snehalkumar (Neil) S. Gaikwad; Shankar Iyer; Dalton D. Lunga; Yu-Ru Lin (CoRR, 2021)

Large-Scale Classification of Urban Structural Units From Remote Sensing Imagery. - Jacob Arndt; Dalton D. Lunga (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

ReSFlow: A Remote Sensing Imagery Data-Flow for Improved Model Generalization. - Dalton D. Lunga; Jacob Arndt; Jonathan Gerrand; Robert N. Stewart (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research. - Dalton D. Lunga; Yingjie Hu; Shawn D. Newsam; Song Gao 001; Bruno Martins 001; Hsiu-Han Lexie Yang; Xueqing Deng (ACM SIGSPATIAL Special, 2021)

SpaceNet 8 - The Detection of Flooded Roads and Buildings. - Ronny Hänsch; Jacob Arndt; Dalton D. Lunga; Matthew Gibb; Tyler Pedelose; Arnold P. Boedihardjo; Desiree Petrie; Todd M. Bacastow (CVPR Workshops, 2022)

Embedding Ethics and Trustworthiness for Sustainable AI in Earth Sciences: Where Do We Begin? - Philipe A. Dias; Dalton D. Lunga (IGARSS, 2022)

Advancing Data Fusion in Earth Sciences. - Dalton D. Lunga; Philipe A. Dias (IGARSS, 2022)

Data-driven Humanitarian Mapping and Policymaking: Toward Planetary-Scale Resilience, Equity, and Sustainability. - Snehalkumar (Neil) S. Gaikwad; Shankar Iyer; Dalton D. Lunga; Takahiro Yabe; Xiaofan Liang; Bhavani Ananthabhotla; Nikhil Behari; Sreelekha Guggilam; Guanghua Chi (KDD, 2022)

Learning to Count Grave Sites for Cemetery Observation Models With Satellite Imagery. - Dalton D. Lunga; Rohan Dhamdhere; Sarah Walters; Lauryn Bragg; Nikhil Makkar; Marie L. Urban (IEEE Geosci. Remote. Sens. Lett., 2022)

Model Assumptions and Data Characteristics: Impacts on Domain Adaptation in Building Segmentation. - Philipe A. Dias; Yuxin Tian; Shawn D. Newsam; Aristeidis Tsaris; Jacob D. Hinkle; Dalton D. Lunga (IEEE Trans. Geosci. Remote. Sens., 2022)

Report of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI 2022). - Bruno Martins 001; Dalton D. Lunga; Song Gao 001; Shawn D. Newsam; Lexie Yang; Xueqing Deng; Gengchen Mai (ACM SIGSPATIAL Special, 2022)

An Agenda for Multimodal Foundation Models for Earth Observation. - Philipe A. Dias; Abhishek Potnis; Sreelekha Guggilam; Lexie Yang; Aristeidis Tsaris; Henry Medeiros 001; Dalton D. Lunga (IGARSS, 2023)

SpaceNet 8: Winning Approaches to Multi-Class Feature Segmentation from Satellite Imagery for Flood Disasters. - Ronny Hänsch; Jacob Arndt; Dalton D. Lunga; Tyler Pedelose; Arnold P. Boedihardjo; Joshua Pfefferkorn; Desiree Petrie; Todd M. Bacastow (IGARSS, 2023)

ARD, FAIR Earth Observation Principles, Data Fusion: Where are we and where do we need to go? - Dalton D. Lunga; Ronny Hänsch; Ujjwal Verma; Fabio Pacifici; George Percivall; Silvia Liberata Ullo (IGARSS, 2023)

Scaling Automatic Vector Data Alignment to Satellite Imagery. - Abhishek Potnis; Dalton D. Lunga; Philipe A. Dias; Lexie Yang; Jacob Arndt; Jordan Bowman (IGARSS, 2023)

Towards Geospatial Knowledge Graph Infused Neuro-Symbolic AI for Remote Sensing Scene Understanding. - Abhishek Potnis; Dalton D. Lunga; Alexandre Sorokine; Philipe A. Dias; Lexie Yang; Jacob Arndt; Jordan Bowman; Jason Wohlgemuth (IGARSS, 2023)

Towards Rapid Response Updates of Populations at Risk. - Marie L. Urban; Jessica Moehl; Philipe A. Dias; Joseph Tuccillo; Andrew Reith; Kelly M. Sims; Sarah Walters; Jacob Arndt; Abhishek Potnis; Dalton D. Lunga (IGARSS, 2023)

DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. - Shuaiwen Leon Song; Bonnie Kruft; Minjia Zhang; Conglong Li; Shiyang Chen 004; Chengming Zhang 006; Masahiro Tanaka; Xiaoxia Wu; Jeff Rasley; Ammar Ahmad Awan; Connor Holmes; Martin Cai; et al. (CoRR, 2023)

OReole-FM: successes and challenges toward billion-parameter foundation models for high-resolution satellite imagery. - Philipe A. Dias; Aristeidis Tsaris; Jordan Bowman; Abhishek Potnis; Jacob Arndt; Hsiuhan Lexie Yang; Dalton D. Lunga (SIGSPATIAL/GIS, 2024)

Towards Diverse and Representative Global Pretraining Datasets for Remote Sensing Foundation Models. - Jacob Arndt; Philipe A. Dias; Abhishek Potnis; Dalton D. Lunga (IGARSS, 2024)

Deep Learning Scene Classification Experiments in Automatic Detection of Slums on Planetscope Imagery. - Jacob Arndt; Anurupa Roy; Marie L. Urban; Dalton D. Lunga (IGARSS, 2024)

Conditional Experts for Improved Building Damage Assessment Across Satellite Imagery View Angles. - Philipe A. Dias; Jacob Arndt; Marie L. Urban; Dalton D. Lunga (IGARSS, 2024)

Introducing SpaceNet 9 - Cross-Modal Satellite Imagery Registration for Natural Disaster Responses. - Ronny Hänsch; Jacob Arndt; Philipe A. Dias; Abhishek Potnis; Dalton D. Lunga; Desiree Petrie; Todd M. Bacastow (IGARSS, 2024)

Towards Interpretable Machine Learning Metrics For Earth Observation Image Analysis. - Ujjwal Verma; Dalton D. Lunga; Abhishek Potnis (IGARSS, 2024)

Pretraining Billion-Scale Geospatial Foundational Models on Frontier. - Aristeidis Tsaris; Philipe Ambrozio Dias; Abhishek Potnis; Junqi Yin; Feiyi Wang; Dalton D. Lunga (IPDPS (Workshops), 2024)

A Science Gateway for the Repeatable Analysis of Machine Learning Predicted Gravity Anomalies. - Jacob Arndt; Jason Wohlgemuth; Hsiuhan Lexie Yang; Jordan Bowman; Dalton D. Lunga; Dawn King (IEEE Geosci. Remote. Sens. Lett., 2024)

Recent Advances in Machine Learning for Remote Sensing Toward the Sustainable Development Goals. - Ujjwal Verma; Dalton D. Lunga; Ronny Hänsch; Claudio Persello; Silvia Liberata Ullo (IEEE Geosci. Remote. Sens. Lett., 2024)

Report of the 7th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI 2024). - Song Gao 001; Gengchen Mai; Shawn D. Newsam; Lexie Yang; Dalton D. Lunga; Di Zhu 004; Bruno Martins 001; Samantha T. Arundel (ACM SIGSPATIAL Special, 2024)

A five-year milestone: reflections on advances and limitations in GeoAI research. - Yingjie Hu; Michael F. Goodchild; A-Xing Zhu; May Yuan; Orhun Aydin; Budhendra Bhaduri; Song Gao 001; Wenwen Li 002; Dalton D. Lunga; Shawn D. Newsam (Ann. GIS, 2024)

Interactive Rotated Object Detection for Novel Class Detection in Remotely Sensed Imagery. - Marvin Burges; Philipe Ambrozio Dias; Carson Woody; Sarah Walters; Dalton D. Lunga (WACV (Workshops), 2025)