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PROCEEDINGS VOLUME 11006 • new

Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications
Editor(s): Tien Pham
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Volume Details

Volume Number: 11006
Estimated Publication Date: 17 May 2018

Table of Contents
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Operationalizing artificial intelligence for multi-domain operations: a first look
Author(s): David K. Spencer; Stephen Duncan; Adam Taliaferro
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Towards an intelligent tactical edge: an internet of battlefield things roadmap (Conference Presentation)
Author(s): Tarek Abdelzaher; Stephen Russell
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Dynamic data driven analytics for multi-domain environments
Author(s): Erik Blasch; Jonathan Ashdown; Fotis Kopsaftopoulos; Carlos Varela; Richard Newkirk
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Theoretical development of multi-domain command and control
Author(s): Jason Crane; Islam Hussein; Ronnie Mainieri; Lorraine Weis
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Federated machine learning for multi-domain operations at the tactical edge
Author(s): Gregory Cirincione; Dinesh Verma
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Representing and reasoning over military context information in complex multi domain battlespaces using artificial intelligence and machine learning
Author(s): Gregory B. Judd; Claudia M. Szabo; Kevin S. Chan; Vanja Radenovic; Peter Boyd; Kelvin Marcus; Dale Ward
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Dependable machine intelligence at the tactical edge
Author(s): Archan Misra; Kasthuri Jayarajah; Dulanga Weerakoon; Randy Tandriansyah; Shuochao Yao; Tarek Abdelzaher
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VoI for complex AI based solutions in coalition environments
Author(s): Dinesh Verma; Geeth de Mel; Gavin Pearson
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Design and implementation of the U.S. Army Artificial Intelligence Innovation Institute
Author(s): Greg Cirincione; Tien Pham; Andrew Ladas; Brian Stanton; Gregory Fischer
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Deep HoriXons (DHX): a 3D virtual reality research campus for crowd-sourcing AI innovations in cooperative autonomy (Conference Presentation)
Author(s): Rob Williams
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Automated information foraging for sensemaking
Author(s): Phil DiBona; Shen-Shyang Ho
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Data column prediction: experiment in automated column tagging using machine learning
Author(s): S. McCabe; B. Cropp; J. Coles; J. Del Vecchio; J. Ekstrum
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Reducing the cost of visual DL datasets
Author(s): Philip R. Osteen; Jason L. Owens; Brian Kaukeinen
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A conceptual architecture for contractual data sharing in a decentralised environment
Author(s): Iain Barclay; Alun Preece; Ian Taylor; Dinesh Verma
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An analysis on data curation using mobile robots for learning tasks in complex environments
Author(s): Julia Donlon; Matthew Young; Maggie Wigness; Cory Hayes
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How to make a machine learn continuously: a tutorial of the Bayesian approach
Author(s): Khoat Than; Xuan Bui; Tung Nguyen-Trong; Khang Truong; Son Nguyen; Bach Tran; Linh Ngo Van; Anh Nguyen-Duc
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Towards a learning-algorithm agnostic generative policy model for coalitions
Author(s): Daniel Cunnington; Mark Law; Geeth de Mel; Irene Manotas; Elisa Bertino; Seraphin Calo; Dinesh Verma
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Comprehensive cooperative deep deterministic policy gradients for multi-agent systems in unstable environment
Author(s): Dong Xie; Xiangnan Zhong; Qing Yang; Yan Huang
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Uncertainty-aware situational understanding
Author(s): Richard Tomsett; Lance Kaplan; Federico Cerutti; Paul Sullivan; Daniel Vente; Marc Roig Vilamala; Angelika Kimmig; Alun Preece; Murat Şensoy
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Agent based modeling simulation of decision making with uncertainty
Author(s): Adrienne Raglin; Somiya Metu
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Application of data science within the Army intelligence warfighting function: problem summary and key findings
Author(s): Robert Ganger; John Coles; Jacob Ekstrum; Timothy Hanratty; Eric Heilman; Jason Boslaugh; Zachary Kendrick
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Computational tools to support analysis and decision making
Author(s): Thomas D. Pike
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Managing training data from untrusted partners using self-generating policies
Author(s): Dinesh Verma; Seraphin Calo; Shonda Witherspoon; Irene Manotas; Elisa Bertino; Amani Abu Jabal; Geeth de Mel ; Ananthram Swami; Greg Cirincione; Gavin Pearson
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Partnering with technology: the importance of human machine teaming in future MDC2 systems
Author(s): J. Klamm; C. Dominguez; B. Yost; P. McDermott; M. Lenox
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Grounding natural language commands to StarCraft II game states for narration-guided reinforcement learning
Author(s): Nicholas Waytowich; Sean L. Barton; Vernon Lawhern; Ethan Stump; Garrett Warnell
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Improving motion sickness severity classification through multi-modal data fusion
Author(s): Mark Dennison Jr.; Mike D'Zmura; Andre Harrison; Michael Lee; Adrienne Raglin
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Investigating immersive collective intelligence
Author(s): Mark Mittrick; John Richardson; Mark Dennison Jr.; Theron Trout; Eric Heilman; Timothy Hanratty
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Intelligent squad weapon: challenges to displaying and interacting with artificial intelligence in small arms weapon systems
Author(s): Michael N. Geuss; Gabriella Larkin; Jennifer Swoboda; Alfred Yu; Jonathan Bakdash; Timothy White; Megan Berthiaume; Brent Lance
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Classification of military occupational specialty codes for agent learning in human-agent teams
Author(s): Justine P. Caylor; Sean L. Barton; Erin G. Zaroukian; Derrik E. Asher
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Achieving useful AI explanations in a high-tempo complex environment
Author(s): Dave Braines; Alun Preece; Dan Harborne
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A framework for enhancing human-agent teamwork through adaptive individualized technologies
Author(s): Addison W. Bohannon; Sean M. Fitzhugh; Arwen H. DeCostanza
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Effect of cooperative team size on coordination in adaptive multi-agent systems
Author(s): D. E. Asher; S. L. Barton; E. Zaroukian; N. R. Waytowich
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Developing the sensitivity of LIME for better machine learning explanation
Author(s): Eunjin Lee; David Braines; Mitchell Stiffler; Adam Hudler; Daniel Harborne
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Intelligence augmentation for urban warfare operation planning using deep reinforcement learning
Author(s): Paolo B. U. L. de Heer; Nico M. de Reus; Lucia Tealdi; Philip J. M. Kerbusch
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Super-convergence: very fast training of neural networks using large learning rates
Author(s): Leslie N. Smith; Nicholay Topin
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An efficient approximate algorithm for achieving (k − !) barrier coverage in camera wireless sensor networks
Author(s): Nguyen Thi My Binh; Huynh Thi Thanh Binh; Vu Le Loi; Vu Trung Nghia; Dang Lam San; Chu Minh Thang
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Algorithmically identifying strategies in multi-agent game-theoretic environments
Author(s): Erin Zaroukian; Sebastian S. Rodriguez; Sean L. Barton; James A. Schaffer; Brandon Perelman; Nicholas R. Waytowich; Blaine Hoffman; Derrik E. Asher
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A rapid convergent genetic algorithm for NP-hard problems
Author(s): Liel Oren; Nonel Thirer
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Identifying maritime vessels at multiple levels of descriptions using deep features
Author(s): David Bo Heyse; Nicholas Warren; Jelena Tešić
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Super resolution-assisted deep aerial vehicle detection
Author(s): Syeda Nyma Ferdous; Moktari Mostofa; Nasser M. Nasrabadi
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Using convolutional neural network autoencoders to understand unlabeled data
Author(s): Samuel Edwards; Michael S. Lee
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Bayesian learning of random signal distributions in complex environments
Author(s): D. Keith Wilson; Daniel J. Breton; Chis L. Pettit; Vladimir E. Ostashev
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Improving unmanned aerial vehicle-based object detection via adversarial training: a (almost) free lunch to enjoy (Conference Presentation)
Author(s): Zhenyu Wu; Karthik Suresh; Zhangyang Wang; Priya Narayanan; Heesung Kwon
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Defending against adversarial attacks in deep neural networks
Author(s): Suya You; C-C Jay Kuo
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Model poisoning attacks against distributed machine learning systems
Author(s): Richard Tomsett; Kevin Chan; Supriyo Chakraborty
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Steps toward a principled approach to automating cyber responses
Author(s): Scott Musman; Lashon Booker; Andy Applebaum; Brian Edmonds
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DAIS-ITA scenario
Author(s): Graham White; Simon Pierson; Brian Rivera; Maroun Touma; Paul Sullivan; Dave Braines
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Towards building actionable indicators of compromise based on a collaboration model
Author(s): Izzat Alsmadi; Nandi Leslie; Charles Kamhoua
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Radar emitter and activity identification using deep clustering methods
Author(s): Diego Marez; Samuel Borden; Gregori Clarke; John Reeder; Nicholas Johnson
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Approaches to address the data skew problem in federated learning
Author(s): Dinesh C. Verma; Graham White; Simon Julier; Stepehen Pasteris; Supriyo Chakraborty; Greg Cirincione
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Experience and lessons learned from the Army RCO Blind Signal Classification Competition
Author(s): Peng Wang; Manuel Vindiola; John S. Hyatt; Michael S. Lee
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Properties of federated averaging on highly distributed data
Author(s): Nirmit Desai; Dinesh Verma
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Beyond validation accuracy: incorporating out-of-distribution checks, explainability, and adversarial attacks into classifier design
Author(s): John S. Hyatt; Michael S. Lee
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Image quality and super resolution effects on object recognition using deep neural networks
Author(s): Christoph Borel-Donohue; S. Susan Young
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Security engineering with machine learning for adversarial resiliency in cyber physical systems
Author(s): Felix O. Olowononi; Danda B. Rawat; Moses Garuba; Charles Kamhoua
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On the machine learning for minimizing the negative influence in mobile cyber physical systems
Author(s): Vijay Chaudhary; Danda B. Rawat
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Deep adversarial attack on target detection systems
Author(s): Uche M. Osahor; Nasser M. Nasrabadi
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How to practically deploy deep neural networks to distributed network environments for scene perception
Author(s): Hyungtae Lee; Heesung Kwon
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Machine learning using template matching applied to object tracking in video data
Author(s): David A. Zuehlke; Troy A. Henderson; Sonya A. H. McMullen
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Overview of machine learning (ML) based perception algorithms for unstructured and degraded visual environments
Author(s): Priya Narayanan; Zhenyu Wu; Heesung Kwon; Zhangyang Wang; Raghuveer Rao
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Reducing bathymetric-lidar algorithm uncertainty with genetic programming and the evolutionary multi-objective algorithm design engine
Author(s): Jason Zutty; Domenic Carr; Rodd Talebi; James Rick; Christopher Valenta; Gregory Rohling
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Understanding of multi-domain battle challenges: AI/ML and the day/night thermal variability of targets
Author(s): Patrick Rauss; Dalton Rosario
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Machine learning based spectral interpretation in chemical detection
Author(s): Patrick C. Riley; Samir V. Deshpande
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Radio frequency classification toolbox for drone detection
Author(s): Abdulkabir Bello; Biswajit Biswal; Sachin Shetty; Charles Kamhoua; Kimberly Gold
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Contingent attention management in multitasked environments
Author(s): Hesham Fouad; Ranjeev Mittu; Derek Brock
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