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Publication	Type	Year
TAFI/Kebab End of Project Report Mark Daniel Rintoul, Kyra Lynn Wisniewski, Katrina Johanna Ward, Kanad Khanna https://www.osti.gov/search/identifier:1779606	Report – 2021 Report	2021
Geospatial-Temporal Semantic Graphs for Image Analytics National Labs Technical Research Exchange Mark Daniel Rintoul https://www.osti.gov/search/identifier:1856313	Presentation (non-conference) – 2021 Presentation (non-conference)	2021
Large-Scale Trajectory Analysis via Feature Vectors Mark Daniel Rintoul, Jessica Lee Jones, Benjamin David Newton, Kyra Lynn Wisniewski, Andrew T. Wilson, Melissa J. Ginaldi, Cleveland Alexander Waddell, Kenneth Goss, Katrina Johanna Ward https://www.osti.gov/search/identifier:1770825	Report – 2021 Report	2021
Geospatial-Temporal Semantic Graphs for Remote Sensing Data Analysis Lab Research Technical Exchange Mark Daniel Rintoul	Abstract – 2021 Abstract	2021
ML for Trajectories: Bridging the Gap from Computer to Analyst with Tracktable Trajectory CoP (Community of Practice), Fall 2020 Mark Daniel Rintoul https://www.osti.gov/search/identifier:1831359	Conference Presentation – 2020 Conference Presentation	2020
Tracktable R&D100 Award Submission Mark Daniel Rintoul, Kristina Rodriguez Czuchlewski, Andrew T. Wilson	Marketing or Promotional – 2020 Marketing or Promotional	2020
TrackTable_Lightning_Talk_Proposal(UUR) Geoint 2020 Joseph Bertino, Mark Daniel Rintoul https://www.osti.gov/search/identifier:1770044	Conference Paper – 2020 Conference Paper	2020
FAST : Finding Anomalous Ship Trajectories CoDA 2020 Benjamin David Newton, Mark Daniel Rintoul, Andrew T. Wilson, Robert S. Warrick, Jessica Lee Jones https://www.osti.gov/search/identifier:1766756	Conference Paper – 2020 Conference Paper	2020
Application Spotlight: Maritime and Air Trajectory Analysis - Feature Vectors IEEE Visualization 2019 Andrew T. Wilson, Mark Daniel Rintoul, Christopher G. Valicka https://www.osti.gov/search/identifier:1642934	Conference Paper – 2019 Conference Paper	2019
Trajectory Data Analytics Trajectory Data Analytics Mark Daniel Rintoul https://www.osti.gov/search/identifier:1645846	Presentation (non-conference) – 2019 Presentation (non-conference)	2019
Geospatial-Temporal Semantic Graphs for Remote Sensing Data Analysis Presentation to Purdue Undergraduates Mark Daniel Rintoul https://www.osti.gov/search/identifier:1645845	Presentation (non-conference) – 2019 Presentation (non-conference)	2019
Curvature Based Analysis to Identify and Categorize Trajectory Segments Paul Schrum, Mark Daniel Rintoul, Benjamin David Newton https://www.osti.gov/search/identifier:1493840	SAND Report – 2018 SAND Report	2018
Sub-track-tion - Efficiently Sub-dividing the Paths of Moving Objects for Better Analysis CIS External Review Benjamin David Newton, Mark Daniel Rintoul, Christopher G. Valicka, Andrew T. Wilson https://www.osti.gov/search/identifier:1648644	Conference Paper – 2018 Conference Paper	2018
Subtrajectorization: Efficiently Sub-dividing the Paths of Moving Objects for Better Analysis CoDA Benjamin David Newton, Mark Daniel Rintoul, Christopher G. Valicka, Andrew T. Wilson https://www.osti.gov/search/identifier:1498635	Conference Paper – 2018 Conference Paper	2018
Shapes: The Next Frontier of Data Mining CoDA 2018 Mark Daniel Rintoul https://www.osti.gov/search/identifier:1498610	Conference Paper – 2018 Conference Paper	2018
Tracktable Trajectory Analysis and Visualization Software Infrastructure Security and Energy Restoration Visit Christopher G. Valicka, Mark Daniel Rintoul, Andrew T. Wilson, Christopher G. Valicka	Presentation (non-conference) – 2017 Presentation (non-conference)	2017
Geospatial-Temporal Semantic Graphs for Automated Wide-Area Search Randolph Brost, Michelle Carroll, Debbie Dennison (LLNL), John Goforth (LLNL), William C. McLendon, James D. Morrow, Jarlath O'Neil-Dunne (UVM), Ojas D. Parekh, Andrew John Patterson, Mark Daniel Rintoul, David R. Strip (SNL), USF) Diane M.-K. Woodbridge (SNL https://www.osti.gov/search/identifier:1527318	SAND Report – 2017 SAND Report	2017
Dynamic Multi-Sensor Multi-Mission Optimal Planning Tool Christopher G. Valicka, Stephen Rowe, Simon Zou, Scott A. Mitchell, William R. Irelan, Eric L Pollard, Deanna Garcia, Gabriel Anton Hackebeil, Andrea Staid, Mark Daniel Rintoul, Jean-Paul Watson, William Eugene Hart, Sivakumar (TAMU) Rathinam, Lewis (TAMU) Ntaimo https://www.osti.gov/search/identifier:1562409	SAND Report – 2016 SAND Report	2016
Sensor Network Scheduling Under Uncertainty: Models and Benefits 2016 Advanced Maui Optical and Space Surveillance Technologies Conference Christopher G. Valicka, Deanna Garcia, Andrea Staid, Jean-Paul Watson, Mark Daniel Rintoul, Gabriel Anton Hackebeil, Lewis (TAMU) Ntaimo https://www.osti.gov/search/identifier:1392760	Conference Paper – 2016 Conference Paper	2016
Sensor Network Scheduling Under Uncertainty: Models and Benefits Advanced Maui Optical and Space Surveillance Technologies Conference 2016 Christopher G. Valicka, Deanna Garcia, Andrea Staid, Jean-Paul Watson, Mark Daniel Rintoul, Gabriel Anton Hackebeil, Lewis (TAMU) Ntaimo https://www.osti.gov/search/identifier:1390467	Conference Paper – 2016 Conference Paper	2016
Exploratory Trajectory Classification HCI International Conference 2016 Andrew T. Wilson, Mark Daniel Rintoul, Christopher G. Valicka https://www.osti.gov/search/identifier:1529797	Conference Paper – 2016 Conference Paper	2016
Constellation Scheduling Under Uncertainty: Models and Benefits Military Operations Research Society 84th Symposium Christopher G. Valicka, Mark Daniel Rintoul, Gabriel Anton Hackebeil, Deanna Garcia, Andrea Staid, Lewis (TAMU) Ntaimo, Jean-Paul Watson https://www.osti.gov/search/identifier:1368886	Conference Paper – 2016 Conference Paper	2016
Constellation Scheduling Under Uncertainty: Models and Benefits Military Operations Research Society 84th Symposium Christopher G. Valicka, Mark Daniel Rintoul, Gabriel Anton Hackebeil, Deanna Garcia, Andrea Staid, Lewis (TAMU) Ntaimo, Jean-Paul Watson https://www.osti.gov/search/identifier:1368885	Conference Paper – 2016 Conference Paper	2016
Trajectory analysis via a geometric feature space approach Statistical Analysis and Data Mining Mark Daniel Rintoul, Andrew T. Wilson https://www.osti.gov/search/identifier:1262244	Journal Article – 2016 Journal Article	2016
Sensor Network Scheduling Under Uncertainty: Models and Benefits 17th Advanced Maui Optical and Space Surveillance Technologies Conference Christopher G. Valicka, Mark Daniel Rintoul, Gabriel Anton Hackebeil, Deanna Garcia, Andrea Staid, Lewis (TAMU) Ntaimo, Jean-Paul Watson	Abstract – 2016 Abstract	2016
Document Title	Type	Year

Results 1–25 of 68

Publications

TAFI/Kebab End of Project Report

Geospatial-Temporal Semantic Graphs for Image Analytics

Large-Scale Trajectory Analysis via Feature Vectors

Geospatial-Temporal Semantic Graphs for Remote Sensing Data Analysis

ML for Trajectories: Bridging the Gap from Computer to Analyst with Tracktable

Tracktable R&D100 Award Submission

TrackTable_Lightning_Talk_Proposal(UUR)

FAST : Finding Anomalous Ship Trajectories

Application Spotlight: Maritime and Air Trajectory Analysis - Feature Vectors

Trajectory Data Analytics

Geospatial-Temporal Semantic Graphs for Remote Sensing Data Analysis

Curvature Based Analysis to Identify and Categorize Trajectory Segments

Sub-track-tion - Efficiently Sub-dividing the Paths of Moving Objects for Better Analysis

Subtrajectorization: Efficiently Sub-dividing the Paths of Moving Objects for Better Analysis

Shapes: The Next Frontier of Data Mining

Tracktable Trajectory Analysis and Visualization Software

Geospatial-Temporal Semantic Graphs for Automated Wide-Area Search

Dynamic Multi-Sensor Multi-Mission Optimal Planning Tool

Sensor Network Scheduling Under Uncertainty: Models and Benefits

Sensor Network Scheduling Under Uncertainty: Models and Benefits

Exploratory Trajectory Classification

Constellation Scheduling Under Uncertainty: Models and Benefits

Constellation Scheduling Under Uncertainty: Models and Benefits

Trajectory analysis via a geometric feature space approach

Sensor Network Scheduling Under Uncertainty: Models and Benefits