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2020 – today
- 2024
[j13]Rees Hill
, David Slater:
Using a Metadata Approach to Extend the Functional Resonance Analysis Method to Model Quantitatively, Emergent Behaviours in Complex Systems. Syst. 12(3): 90 (2024)- [i5]John R. McNulty, Lee Kho, Alexandria L. Case, Charlie Fornaca, Drew Johnston, David Slater, Joshua M. Abzug, Sybil A. Russell:
Synthetic Medical Imaging Generation with Generative Adversarial Networks For Plain Radiographs. CoRR abs/2403.19107 (2024) - 2023
- [c24]Nathalie Baracaldo, Farhan Ahmed, Kevin Eykholt, Yi Zhou, Shriti Priya, Taesung Lee, Swanand Kadhe, Mike Tan, Sridevi Polavaram, Sterling Suggs, Yuyang Gao, David Slater:
Benchmarking the Effect of Poisoning Defenses on the Security and Bias of Deep Learning Models. SP (Workshops) 2023: 45-56 - [c23]Alex Isherwood, Matthew Koehler, David Slater:
Using Evolutionary Model Discovery to Develop Robust Policies. WSC 2023: 130-137 - 2021
- [j12]Lito Kriara, Joerg F. Hipp, Christopher Chatham, David Nobbs, David Slater, Florian Lipsmeier, Michael Lindemann:
Beacon-Based Remote Measurement of Social Behavior in ASD Clinical Trials: A Technical Feasibility Assessment. Sensors 21(14): 4664 (2021)
2010 – 2019
- 2019
- [c22]David Slater, Scott Novotney, Jessica Moore, Sean Morgan, Scott Tenaglia:
Robust keystroke transcription from the acoustic side-channel. ACSAC 2019: 776-787 - [c21]Jessica Moore, Ben Gelman, David Slater:
A Convolutional Neural Network for Language-Agnostic Source Code Summarization. ENASE 2019: 15-26 - [c20]Jacob Dormuth, Ben Gelman, Jessica Moore, David Slater:
Logical Segmentation of Source Code. SEKE 2019: 717-777 - [i4]Jessica Moore, Ben Gelman, David Slater:
A Convolutional Neural Network for Language-Agnostic Source Code Summarization. CoRR abs/1904.00805 (2019) - [i3]Ben Gelman, Bryan Hoyle, Jessica Moore, Joshua Saxe, David Slater:
A Language-Agnostic Model for Semantic Source Code Labeling. CoRR abs/1906.01032 (2019) - [i2]Jacob Dormuth, Ben Gelman, Jessica Moore, David Slater:
Logical Segmentation of Source Code. CoRR abs/1907.08615 (2019) - 2018
- [j11]Stanislaw Adaszewski, David Slater, Lester Melie-García, Bogdan Draganski, Piotr Bogorodzki:
Simultaneous estimation of population receptive field and hemodynamic parameters from single point BOLD responses using Metropolis-Hastings sampling. NeuroImage 172: 175-193 (2018) - [c19]Ben Gelman, Bryan Hoyle, Jessica Moore, Joshua Saxe, David Slater:
A language-agnostic model for semantic source code labeling. MASES@ASE 2018: 36-44 - 2015
- [c18]Konstantin Berlin, David Slater, Joshua Saxe:
Malicious Behavior Detection using Windows Audit Logs. AISec@CCS 2015: 35-44 - [i1]Konstantin Berlin, David Slater, Joshua Saxe:
Malicious Behavior Detection using Windows Audit Logs. CoRR abs/1506.04200 (2015) - 2013
- [j10]Marco Catani, Michel Thiebaut de Schotten, David Slater, Flavio Dell'Acqua:
Connectomic approaches before the connectome. NeuroImage 80: 2-13 (2013)
2000 – 2009
- 2009
- [j9]David Slater, Radha Poovendran, Patrick Tague, Brian J. Matt:
Tradeoffs between jamming resilience and communication efficiency in key establishment. ACM SIGMOBILE Mob. Comput. Commun. Rev. 13(1): 14-25 (2009) - [j8]Patrick Tague, David Slater, Jason Rogers, Radha Poovendran:
Evaluating the Vulnerability of Network Traffic Using Joint Security and Routing Analysis. IEEE Trans. Dependable Secur. Comput. 6(2): 111-123 (2009) - [c17]David Slater, Patrick Tague, Radha Poovendran, Brian J. Matt:
A coding-theoretic approach for efficient message verification over insecure channels. WISEC 2009: 151-160 - 2008
- [c16]Patrick Tague, David Slater, Jason Rogers, Radha Poovendran:
Vulnerability of Network Traffic under Node Capture Attacks Using Circuit Theoretic Analysis. INFOCOM 2008: 161-165 - [c15]Patrick Tague, Sidharth Nabar, James A. Ritcey, David Slater, Radha Poovendran:
Throughput optimization for multipath unicast routing under probabilistic jamming. PIMRC 2008: 1-5 - [c14]Patrick Tague, David Slater, Radha Poovendran, Guevara Noubir:
Linear programming models for jamming attacks on network traffic flows. WiOpt 2008: 207-216 - 2001
- [j7]Pei-hsiu Suen, Glenn Healey, David Slater:
The impact of viewing geometry on material discriminability in hyperspectral images. IEEE Trans. Geosci. Remote. Sens. 39(7): 1352-1359 (2001) - [c13]David Slater, Glenn Healey:
Physics-based Model Acquisition and Identification in Airborne Spectral Images. ICCV 2001: 257-262 - [c12]Pei-hsiu Suen, Glenn Healey, David Slater:
The Impact of Viewing Geometry on Vision Through the Atmosphere. ICCV 2001: 454-459
1990 – 1999
- 1999
- [j6]Glenn Healey, David Slater:
Models and methods for automated material identification in hyperspectral imagery acquired under unknown illumination and atmospheric conditions. IEEE Trans. Geosci. Remote. Sens. 37(6): 2706-2717 (1999) - [c11]Glenn Healey, David Slater:
Invariant Recognition in Hyperspectral Images. CVPR 1999: 1438-1043 - [c10]David Slater, Glenn Healey:
Material Classification for 3D Objects in Aerial Hyperspectral Images. CVPR 1999: 2268-2273 - 1998
- [c9]David Slater, Glenn Healey:
What is the Spectral Dimensionality of Illumination Functions in Outdoor Scenes? CVPR 1998: 105-110 - [c8]David Slater, Glenn Healey, Phillip Chen-Yu Sheu, Carl Cotman, Joseph H. Su, Andrea J. Wasserman, William Rodman Shankle:
A novel use of color computer vision methods for the quantification of neurons in 3-D brain tissue samples. SMC 1998: 4411-4416 - 1997
- [j5]David Slater, Glenn Healey:
The Illumination-Invariant Matching of Deterministic Local Structure in Color Images. IEEE Trans. Pattern Anal. Mach. Intell. 19(10): 1146-1151 (1997) - [j4]Glenn Healey, David Slater:
Computing illumination-invariant descriptors of spatially filtered color image regions. IEEE Trans. Image Process. 6(7): 1002-1013 (1997) - [c7]David Slater, Glenn Healey:
Object recognition using invariant profiles. CVPR 1997: 827-832 - 1996
- [j3]David Slater, Glenn Healey:
The Illumination-Invariant Recognition of 3D Objects Using Local Color Invariants. IEEE Trans. Pattern Anal. Mach. Intell. 18(2): 206-210 (1996) - [j2]Soren B. Hansen, David Slater, Carlos A. Rodriguez, Francis G. Spinale, William P. Santamore:
Examination of epimysial leads used to stimulate the latissimus dorsi muscle. IEEE Trans. Biomed. Eng. 43(6): 653-657 (1996) - [c6]David Slater, Glenn Healey:
Using a spectral reflectance model for the illumination-invariant recognition of local image structure. CVPR 1996: 770-775 - [c5]David Slater, Glenn Healey, Phillip C.-Y. Sheu, Carl Cotman, Joseph H. Su, Andrea J. Wasserman, William Rodman Shankle:
A machine vision system for the automated classification and counting of neurons in 3-D brain tissue samples. WACV 1996: 224-229 - 1995
- [c4]David Slater, Glenn Healey:
Combining Color and Geometric Information for the Illumination Invariant Recognition of 3D Objects. ICCV 1995: 563-568 - [c3]David Slater, Glenn Healey:
Illumination-Invariant Recognition of Local Color Distributions using Linear Models for Spectral Reflectance. CIC 1995: 34-36 - 1994
- [c2]Glenn Healey, David Slater:
Using illumination invariant descriptors for recognition. CVPR 1994: 355-360 - 1993
- [c1]Glenn Healey, David Slater, Ted Lin, Ben Drda, A. Donald Goedeke:
A system for real-time fire detection. CVPR 1993: 605-606 - 1990
- [j1]Martin Neil, Robert J. Cole, David Slater:
Measures for maintenance management: A case study. J. Softw. Maintenance Res. Pract. 2(4): 223-240 (1990)
Coauthor Index
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