David Slater - RankMe

42 papers A* 11A 2B 4C 1Misc 1Journal 18Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Synthetic Medical Imaging Generation with Generative Adversarial Networks For Plain Radiographs. CoRR John R. McNulty, Lee Kho, Alexandria L. Case, Charlie Fornaca, Drew Johnston, David Slater, Joshua M. Abzug, Sybil A. Russell
2024	J	`jnl`	Using a Metadata Approach to Extend the Functional Resonance Analysis Method to Model Quantitatively, Emergent Behaviours in Complex Systems. Syst. Rees Hill, David Slater
2023	—	`conf`	Benchmarking the Effect of Poisoning Defenses on the Security and Bias of Deep Learning Models. SP (Workshops) Nathalie Baracaldo, Farhan Ahmed, Kevin Eykholt, Yi Zhou, Shriti Priya, Taesung Lee, Swanand Kadhe, Mike Tan, Sridevi Polavaram, Sterling Suggs, Yuyang Gao, David Slater
2023	Misc	`conf`	Using Evolutionary Model Discovery to Develop Robust Policies. WSC Alex Isherwood, Matthew Koehler, David Slater
2021	J	`jnl`	Beacon-Based Remote Measurement of Social Behavior in ASD Clinical Trials: A Technical Feasibility Assessment. Sensors Lito Kriara, Joerg F. Hipp, Christopher Chatham, David Nobbs, David Slater, Florian Lipsmeier, Michael Lindemann
2019	B	`conf`	A Convolutional Neural Network for Language-Agnostic Source Code Summarization. ENASE Jessica Moore, Ben Gelman, David Slater
2019	J	`jnl`	A Convolutional Neural Network for Language-Agnostic Source Code Summarization. CoRR Jessica Moore, Ben Gelman, David Slater
2019	J	`jnl`	A Language-Agnostic Model for Semantic Source Code Labeling. CoRR Ben Gelman, Bryan Hoyle, Jessica Moore, Joshua Saxe, David Slater
2019	C	`conf`	Logical Segmentation of Source Code. SEKE Jacob Dormuth, Ben Gelman, Jessica Moore, David Slater
2019	J	`jnl`	Logical Segmentation of Source Code. CoRR Jacob Dormuth, Ben Gelman, Jessica Moore, David Slater
2019	A	`conf`	Robust keystroke transcription from the acoustic side-channel. ACSAC David Slater, Scott Novotney, Jessica Moore, Sean Morgan, Scott Tenaglia
2018	—	`conf`	A language-agnostic model for semantic source code labeling. MASES@ASE Ben Gelman, Bryan Hoyle, Jessica Moore, Joshua Saxe, David Slater
2018	J	`jnl`	Simultaneous estimation of population receptive field and hemodynamic parameters from single point BOLD responses using Metropolis-Hastings sampling. NeuroImage Stanislaw Adaszewski, David Slater, Lester Melie-García, Bogdan Draganski, Piotr Bogorodzki
2015	—	`conf`	Malicious Behavior Detection using Windows Audit Logs. AISec@CCS Konstantin Berlin, David Slater, Joshua Saxe
2015	J	`jnl`	Malicious Behavior Detection using Windows Audit Logs. CoRR Konstantin Berlin, David Slater, Joshua Saxe
2013	J	`jnl`	Connectomic approaches before the connectome. NeuroImage Marco Catani, Michel Thiebaut de Schotten, David Slater, Flavio Dell'Acqua
2009	—	`conf`	A coding-theoretic approach for efficient message verification over insecure channels. WISEC David Slater, Patrick Tague, Radha Poovendran, Brian J. Matt
2009	J	`jnl`	Evaluating the Vulnerability of Network Traffic Using Joint Security and Routing Analysis. IEEE Trans. Dependable Secur. Comput. Patrick Tague, David Slater, Jason Rogers, Radha Poovendran
2009	J	`jnl`	Tradeoffs between jamming resilience and communication efficiency in key establishment. ACM SIGMOBILE Mob. Comput. Commun. Rev. David Slater, Radha Poovendran, Patrick Tague, Brian J. Matt
2008	B	`conf`	Linear programming models for jamming attacks on network traffic flows. WiOpt Patrick Tague, David Slater, Radha Poovendran, Guevara Noubir
2008	B	`conf`	Throughput optimization for multipath unicast routing under probabilistic jamming. PIMRC Patrick Tague, Sidharth Nabar, James A. Ritcey, David Slater, Radha Poovendran
2008	A*	`conf`	Vulnerability of Network Traffic under Node Capture Attacks Using Circuit Theoretic Analysis. INFOCOM Patrick Tague, David Slater, Jason Rogers, Radha Poovendran
2001	A*	`conf`	Physics-based Model Acquisition and Identification in Airborne Spectral Images. ICCV David Slater, Glenn Healey
2001	A*	`conf`	The Impact of Viewing Geometry on Vision Through the Atmosphere. ICCV Pei-hsiu Suen, Glenn Healey, David Slater
2001	J	`jnl`	The impact of viewing geometry on material discriminability in hyperspectral images. IEEE Trans. Geosci. Remote. Sens. Pei-hsiu Suen, Glenn Healey, David Slater
1999	A*	`conf`	Invariant Recognition in Hyperspectral Images. CVPR Glenn Healey, David Slater
1999	A*	`conf`	Material Classification for 3D Objects in Aerial Hyperspectral Images. CVPR David Slater, Glenn Healey
1999	J	`jnl`	Models and methods for automated material identification in hyperspectral imagery acquired under unknown illumination and atmospheric conditions. IEEE Trans. Geosci. Remote. Sens. Glenn Healey, David Slater
1998	B	`conf`	A novel use of color computer vision methods for the quantification of neurons in 3-D brain tissue samples. SMC David Slater, Glenn Healey, Phillip Chen-Yu Sheu, Carl Cotman, Joseph H. Su, Andrea J. Wasserman, William Rodman Shankle
1998	A*	`conf`	What is the Spectral Dimensionality of Illumination Functions in Outdoor Scenes? CVPR David Slater, Glenn Healey
1997	J	`jnl`	Computing illumination-invariant descriptors of spatially filtered color image regions. IEEE Trans. Image Process. Glenn Healey, David Slater
1997	A*	`conf`	Object recognition using invariant profiles. CVPR David Slater, Glenn Healey
1997	J	`jnl`	The Illumination-Invariant Matching of Deterministic Local Structure in Color Images. IEEE Trans. Pattern Anal. Mach. Intell. David Slater, Glenn Healey
1996	A	`conf`	A machine vision system for the automated classification and counting of neurons in 3-D brain tissue samples. WACV David Slater, Glenn Healey, Phillip C.-Y. Sheu, Carl Cotman, Joseph H. Su, Andrea J. Wasserman, William Rodman Shankle
1996	J	`jnl`	Examination of epimysial leads used to stimulate the latissimus dorsi muscle. IEEE Trans. Biomed. Eng. Soren B. Hansen, David Slater, Carlos A. Rodriguez, Francis G. Spinale, William P. Santamore
1996	J	`jnl`	The Illumination-Invariant Recognition of 3D Objects Using Local Color Invariants. IEEE Trans. Pattern Anal. Mach. Intell. David Slater, Glenn Healey
1996	A*	`conf`	Using a spectral reflectance model for the illumination-invariant recognition of local image structure. CVPR David Slater, Glenn Healey
1995	A*	`conf`	Combining Color and Geometric Information for the Illumination Invariant Recognition of 3D Objects. ICCV David Slater, Glenn Healey
1995	—	`conf`	Illumination-Invariant Recognition of Local Color Distributions using Linear Models for Spectral Reflectance. CIC David Slater, Glenn Healey
1994	A*	`conf`	Using illumination invariant descriptors for recognition. CVPR Glenn Healey, David Slater
1993	A*	`conf`	A system for real-time fire detection. CVPR Glenn Healey, David Slater, Ted Lin, Ben Drda, A. Donald Goedeke
1990	J	`jnl`	Measures for maintenance management: A case study. J. Softw. Maintenance Res. Pract. Martin Neil, Robert J. Cole, David Slater