Stephen D. Scott

32 papers A* 8A 3B 1C 4Misc 1Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Modeling social unrest: The geographical influence on social unrest prediction.
Expert Syst. Appl.
Shine Bedi, Ashok Samal, Stephen D. Scott
2022 A* conf
Bayesian Deep Structured Semantic Model for Sub-Linear-Time Information Retrieval.
ICDM
Yuji Mo, Stephen D. Scott
2022 C conf
Self-Supervised Learning in the Twilight of Noisy Real-World Datasets.
ICMLA
Atharva Tendle, Andrew Little, Stephen D. Scott, Mohammad Rashedul Hasan
2021 J jnl
Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex-Valued Convolutional Networks.
IEEE J. Sel. Areas Commun.
Zhongyuan Zhao, Mehmet Can Vuran, Fujuan Guo, Stephen D. Scott
2018 J jnl
Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex Convolutional Networks.
CoRR
Zhongyuan Zhao, Mehmet C. Vuran, Fujuan Guo, Stephen D. Scott
2016 — conf
Computing triangle and open-wedge heavy-hitters in large networks.
IEEE BigData
Aduri Pavan, Paul Quint, Stephen D. Scott, N. V. Vinodchandran, J. Smith
2016 A conf
Constrained Group Testing to Predict Binding Response of Candidate Compounds.
SDM
Paul Quint, Stephen D. Scott, N. V. Vinodchandran, Bradley Worley
2016 A* conf
Learning Hierarchically Decomposable Concepts with Active Over-Labeling.
ICDM
Yuji Mo, Stephen D. Scott, Doug Downey
2014 J jnl
Yeast pheromone pathway modeling using Petri nets.
BMC Bioinform.
Abhishek Majumdar, Stephen D. Scott, Jitender S. Deogun, Steven Harris
2013 A* conf
Selecting the Appropriate Consistency Algorithm for CSPs Using Machine Learning Classifiers.
AAAI
Daniel J. Geschwender, Shant Karakashian, Robert J. Woodward, Berthe Y. Choueiry, Stephen D. Scott
2009 A conf
Renaissance computing: an initiative for promoting student participation in computing.
SIGCSE
Leen-Kiat Soh, Ashok Samal, Stephen D. Scott, Stephen Ramsay, Etsuko Moriyama, George Meyer, Brian Moore, William G. Thomas, Duane F. Shell
2008 J jnl
Improved MCMC sampling methods for estimating weighted sums in Winnow with application to DNF learning.
Mach. Learn.
Qingping Tao, Stephen D. Scott
2008 J jnl
Kernels for Generalized Multiple-Instance Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Qingping Tao, Stephen D. Scott, N. V. Vinodchandran, Thomas Takeo Osugi, Brandon Mueller
2008 J jnl
On reoptimizing multi-class classifiers.
Mach. Learn.
Chris Bourke, Kun Deng, Stephen D. Scott, Robert E. Schapire, N. V. Vinodchandran
2005 A* conf
New kernels for protein structural motif discovery and function classification.
ICML
Chang Wang, Stephen D. Scott
2004 Misc conf
A Faster Algorithm for Generalized Multiple-Instance Learning.
FLAIRS
Qingping Tao, Stephen D. Scott
2004 C conf
Agnostic learning of general geometric patterns and multi-instance learning in R
ICMLA
Stephen D. Scott
2004 C conf
EMPRR: a high-dimensional EM-based peicewise regression algorithm.
ICMLA
Manimozhiyan Arumugam, Stephen D. Scott
2004 C conf
LASSO: a learning architecture for semantic web ontologies.
ICMLA
Christopher N. Hammack, Stephen D. Scott
2004 — conf
New Techniques for Generation and Analysis of Evolutionary Trees.
METMBS
Chang Wang, Stephen D. Scott, Qingping Tao, Dmitri E. Fomenko, Vadim N. Gladyshev
2003 B conf
A novel fiber delay line buffering architecture for optical packet switching.
GLOBECOM
Lin Li, Stephen D. Scott, Jitender S. Deogun
2003 J jnl
Learning from examples with unspecified attribute values.
Inf. Comput.
Sally A. Goldman, Stephen Kwek, Stephen D. Scott
2003 J jnl
Multiple-Instance Learning of Real-Valued Geometric Patterns.
Ann. Math. Artif. Intell.
Sally A. Goldman, Stephen D. Scott
2001 J jnl
Agnostic Learning of Geometric Patterns.
J. Comput. Syst. Sci.
Sally A. Goldman, Stephen Kwek, Stephen D. Scott
2001 J jnl
On-line analysis of the TCP acknowledgment delay problem.
J. ACM
Daniel R. Dooly, Sally A. Goldman, Stephen D. Scott
1999 J jnl
A Theoretical and Empirical Study of a Noise-Tolerant Algorithm to Learn Geometric Patterns.
Mach. Learn.
Sally A. Goldman, Stephen D. Scott
1998 A* conf
TCP Dynamic Acknowledgment Delay: Theory and Practice (Extended Abstract).
STOC
Daniel R. Dooly, Sally A. Goldman, Stephen D. Scott
1997 A* conf
Agnostic Learning of Geometric Patterns (Extended Abstract).
COLT
Sally A. Goldman, Stephen Kwek, Stephen D. Scott
1997 A* conf
Learning from Examples with Unspecified Attribute Values (Extended Abstract).
COLT
Sally A. Goldman, Stephen Kwek, Stephen D. Scott
1996 A* conf
A Theoretical and Empirical Study of a Noise-Tolerant Algorithm to Learn Geormetric Patterns.
ICML
Sally A. Goldman, Stephen D. Scott
1996 J jnl
PAC Learning of One-Dimensional Patterns.
Mach. Learn.
Paul W. Goldberg, Sally A. Goldman, Stephen D. Scott
1995 A conf
HGA: A Hardware-Based Genetic Algorithm.
FPGA
Stephen D. Scott, Ashok Samal, Sharad C. Seth