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David Slater
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Chaotic motions of a forced droplet-droplet oscillator
DM Slater, CA López, AH Hirsa, PH Steen
Physics of Fluids 20 (9), 092107, 2008
152008
Beetle-inspired adhesion by capillary-bridge arrays: pull-off detachment
DM Slater, MJ Vogel, AM Macner, PH Steen
Journal of Adhesion Science and Technology 28 (3-4), 273-289, 2014
142014
Fragmentation and inefficiencies in US equity markets: Evidence from the Dow 30
BF Tivnan, DR Dewhurst, CM Van Oort, JH Ring IV, TJ Gray, BF Tivnan, ...
PloS one 15 (1), e0226968, 2020
122020
Early warning signals of tipping-points in blog posts
D Slater
MITRE CORP MCLEAN VA, 2012
72012
Modeling COVID-19 for lifting non-pharmaceutical interventions
M Koehler, DM Slater, G Jacyna, JR Thompson
medRxiv, 2020
62020
Bifurcation and Stability of n Coupled Droplet Oscillators with Symmetry
DM Slater, PH Steen
SIAM Journal on Applied Mathematics 71 (4), 1204-1219, 2011
42011
Price discovery and the accuracy of consolidated data feeds in the US equity markets
BF Tivnan, D Slater, JR Thompson, TA Bergen-Hill, CD Burke, SM Brady, ...
Journal of Risk and Financial Management 11 (4), 73, 2018
32018
Towards a model of the US stock market: How important is the securities information processor?
BF Tivnan, MTK Koehler, D Slater, J Veneman, BF Tivnan
2017 Winter Simulation Conference (WSC), 1181-1192, 2017
32017
Critical infrastructure network analysis enabled by simulation metamodeling
SL Rosen, D Slater, E Beeker, S Guharay, G Jacyna
2015 Winter Simulation Conference (WSC), 2436-2447, 2015
32015
Network Measures of the United States Code
A Lyte, D Slater, S Michel
MITRE CORP MCLEAN VA, 2015
32015
Evaluating detection and estimation capabilities of magnetometer-based vehicle sensors
DM Slater, GM Jacyna
Signal Processing, Sensor Fusion, and Target Recognition XXII 8745, 93-106, 2013
32013
Investigating the Effects of Network Structures in Massive Agent‐Based Models of Tax Evasion
M Koehler, S Michel, D Slater, C Harvey, A Andrei, K Comer
Agent-based Modeling of Tax Evasion: Theoretical Aspects and Computational …, 2018
22018
Rheumatoid Arthritis Synovial Inflammation Quantification Using Computer Vision
S Guan, B Mehta, D Slater, JR Thompson, E DiCarlo, T Pannellini, ...
ACR open rheumatology 4 (4), 322-331, 2022
12022
Detecting symmetry in the chaotic and quasi-periodic motions of three coupled droplet oscillators
DM Slater, PH Steen
SIAM Journal on Applied Dynamical Systems 11 (3), 1098-1113, 2012
12012
OP0223 DISTINGUISHING OSTEOARTHRITIS AND RHEUMATOID ARTHRITIS SYNOVIUM WITH MACHINE LEARNING USING AUTOMATED CELL DENSITY AND PATHOLOGIST SCORES
B Mehta, S Goodman, E Dicarlo, D Jannat-Khah, JA Gibbons, M Otero, ...
Annals of the Rheumatic Diseases 81 (Suppl 1), 146-147, 2022
2022
Adaptive cognitive analytics platform
C Rieser, DM SLATER, G Steven, HH LIU
US Patent App. 17/098,164, 2021
2021
Machine learning improves interpretation of coronary artery disease using Rb-82 PET quantification of myocardial blood flow
D Berman, C Hunter, A Hossain, J Yao, E Workman, S Guan, L Strickhart, ...
Journal of Nuclear Medicine 62 (supplement 1), 110-110, 2021
2021
Nuclei Detection in Rheumatoid Arthritis Synovial Tissue Using Artificial Intelligence
S Guan, D Slater, J Thompson, E DiCarlo, D Pearce-Fisher, S Goodman, ...
ARTHRITIS & RHEUMATOLOGY 72, 2020
2020
Policy disruption early warning system
L Alex, LIU Haven, S Michel, D Slater
US Patent 10,776,891, 2020
2020
Analytical Model of COVID-19 for lifting non-pharmaceutical interventions
G Jacyna, JR Thompson, M Koehler, DM Slater
medRxiv, 2020
2020
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