Measures for maintenance management: A case study. - Martin Neil; Robert J. Cole; David Slater (J. Softw. Maintenance Res. Pract., 1990)

A system for real-time fire detection. - Glenn Healey; David Slater; Ted Lin; Ben Drda; A. Donald Goedeke (CVPR, 1993)

Using illumination invariant descriptors for recognition. - Glenn Healey; David Slater (CVPR, 1994)

Combining Color and Geometric Information for the Illumination Invariant Recognition of 3D Objects. - David Slater; Glenn Healey (ICCV, 1995)

Illumination-Invariant Recognition of Local Color Distributions using Linear Models for Spectral Reflectance. - David Slater; Glenn Healey (CIC, 1995)

Using a spectral reflectance model for the illumination-invariant recognition of local image structure. - David Slater; Glenn Healey (CVPR, 1996)

A machine vision system for the automated classification and counting of neurons in 3-D brain tissue samples. - David Slater; Glenn Healey; Phillip C.-Y. Sheu; Carl Cotman; Joseph H. Su; Andrea J. Wasserman; William Rodman Shankle (WACV, 1996)

The Illumination-Invariant Recognition of 3D Objects Using Local Color Invariants. - David Slater; Glenn Healey (IEEE Trans. Pattern Anal. Mach. Intell., 1996)

Examination of epimysial leads used to stimulate the latissimus dorsi muscle. - Soren B. Hansen; David Slater; Carlos A. Rodriguez; Francis G. Spinale; William P. Santamore (IEEE Trans. Biomed. Eng., 1996)

Object recognition using invariant profiles. - David Slater; Glenn Healey (CVPR, 1997)

The Illumination-Invariant Matching of Deterministic Local Structure in Color Images. - David Slater; Glenn Healey (IEEE Trans. Pattern Anal. Mach. Intell., 1997)

Computing illumination-invariant descriptors of spatially filtered color image regions. - Glenn Healey; David Slater (IEEE Trans. Image Process., 1997)

What is the Spectral Dimensionality of Illumination Functions in Outdoor Scenes? - David Slater; Glenn Healey (CVPR, 1998)

A novel use of color computer vision methods for the quantification of neurons in 3-D brain tissue samples. - David Slater; Glenn Healey; Phillip Chen-Yu Sheu; Carl Cotman; Joseph H. Su; Andrea J. Wasserman; William Rodman Shankle (SMC, 1998)

Invariant Recognition in Hyperspectral Images. - Glenn Healey; David Slater (CVPR, 1999)

Material Classification for 3D Objects in Aerial Hyperspectral Images. - David Slater; Glenn Healey (CVPR, 1999)

Models and methods for automated material identification in hyperspectral imagery acquired under unknown illumination and atmospheric conditions. - Glenn Healey; David Slater (IEEE Trans. Geosci. Remote. Sens., 1999)

Physics-based Model Acquisition and Identification in Airborne Spectral Images. - David Slater; Glenn Healey (ICCV, 2001)

The Impact of Viewing Geometry on Vision Through the Atmosphere. - Pei-hsiu Suen; Glenn Healey; David Slater (ICCV, 2001)

The impact of viewing geometry on material discriminability in hyperspectral images. - Pei-hsiu Suen; Glenn Healey; David Slater (IEEE Trans. Geosci. Remote. Sens., 2001)

Vulnerability of Network Traffic under Node Capture Attacks Using Circuit Theoretic Analysis. - Patrick Tague; David Slater; Jason Rogers; Radha Poovendran (INFOCOM, 2008)

Throughput optimization for multipath unicast routing under probabilistic jamming. - Patrick Tague; Sidharth Nabar; James A. Ritcey; David Slater; Radha Poovendran (PIMRC, 2008)

Linear programming models for jamming attacks on network traffic flows. - Patrick Tague; David Slater; Radha Poovendran; Guevara Noubir (WiOpt, 2008)

A coding-theoretic approach for efficient message verification over insecure channels. - David Slater; Patrick Tague; Radha Poovendran; Brian J. Matt (WISEC, 2009)

Tradeoffs between jamming resilience and communication efficiency in key establishment. - David Slater; Radha Poovendran; Patrick Tague; Brian J. Matt (ACM SIGMOBILE Mob. Comput. Commun. Rev., 2009)

Evaluating the Vulnerability of Network Traffic Using Joint Security and Routing Analysis. - Patrick Tague; David Slater; Jason Rogers; Radha Poovendran (IEEE Trans. Dependable Secur. Comput., 2009)

Connectomic approaches before the connectome. - Marco Catani; Michel Thiebaut de Schotten; David Slater; Flavio Dell'Acqua (NeuroImage, 2013)

Malicious Behavior Detection using Windows Audit Logs. - Konstantin Berlin; David Slater; Joshua Saxe (AISec@CCS, 2015)

A language-agnostic model for semantic source code labeling. - Ben Gelman; Bryan Hoyle; Jessica Moore; Joshua Saxe; David Slater (MASES@ASE, 2018)

Simultaneous estimation of population receptive field and hemodynamic parameters from single point BOLD responses using Metropolis-Hastings sampling. - Stanislaw Adaszewski; David Slater; Lester Melie-García; Bogdan Draganski; Piotr Bogorodzki (NeuroImage, 2018)

Robust keystroke transcription from the acoustic side-channel. - David Slater; Scott Novotney; Jessica Moore; Sean Morgan; Scott Tenaglia (ACSAC, 2019)

A Convolutional Neural Network for Language-Agnostic Source Code Summarization. - Jessica Moore; Ben Gelman; David Slater (ENASE, 2019)

Logical Segmentation of Source Code. - Jacob Dormuth; Ben Gelman; Jessica Moore; David Slater (SEKE, 2019)

Beacon-Based Remote Measurement of Social Behavior in ASD Clinical Trials: A Technical Feasibility Assessment. - Lito Kriara; Joerg F. Hipp; Christopher Chatham; David Nobbs; David Slater; Florian Lipsmeier; Michael Lindemann (Sensors, 2021)

Benchmarking the Effect of Poisoning Defenses on the Security and Bias of Deep Learning Models. - Nathalie Baracaldo; Farhan Ahmed; Kevin Eykholt; Yi Zhou 015; Shriti Priya; Taesung Lee; Swanand Kadhe; Mike Tan; Sridevi Polavaram; Sterling Suggs; Yuyang Gao; David Slater (SP (Workshops), 2023)

Using Evolutionary Model Discovery to Develop Robust Policies. - Alex Isherwood; Matthew Koehler; David Slater (WSC, 2023)

Synthetic Medical Imaging Generation with Generative Adversarial Networks For Plain Radiographs. - John R. McNulty; Lee Kho; Alexandria L. Case; Charlie Fornaca; Drew Johnston; David Slater; Joshua M. Abzug; Sybil A. Russell (CoRR, 2024)

Using a Metadata Approach to Extend the Functional Resonance Analysis Method to Model Quantitatively, Emergent Behaviours in Complex Systems. - Rees Hill; David Slater (Syst., 2024)