Stephen Scott

19 papers A* 4B 1C 1Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2021 J jnl
Elucidation of dynamic microRNA regulations in cancer progression using integrative machine learning.
Briefings Bioinform.
Haluk Dogan, Zeynep Hakguder, Roland Madadjim, Stephen Scott, Massimiliano Pierobon, Juan Cui
2021 J jnl
Maize Tassel Detection From UAV Imagery Using Deep Learning.
Frontiers Robotics AI
Aziza Alzadjali, Mohammed H. Alali, Arun Narenthiran Veeranampalayam Sivakumar, Jitender S. Deogun, Stephen Scott, James C. Schnable, Yeyin Shi
2020 J jnl
Comparison of Object Detection and Patch-Based Classification Deep Learning Models on Mid- to Late-Season Weed Detection in UAV Imagery.
Remote. Sens.
Arun Narenthiran Veeranampalayam Sivakumar, Jiating Li, Stephen Scott, Eric Psota, Amit J. Jhala, Joe D. Luck, Yeyin Shi
2019 — conf
Elucidation of MicroRNA-Gene Regulation in Human Cancer with Integrative Network Models.
BIBM
Haluk Dogan, Zeynep Hakguder, Stephen Scott, Juan Cui
2019 J jnl
Formal Language Constraints for Markov Decision Processes.
CoRR
Eleanor Quint, Dong Xu, Haluk Dogan, Zeynep Hakguder, Stephen Scott, Matthew B. Dwyer
2017 — ch.
Multi-Instance Learning.
Encyclopedia of Machine Learning and Data Mining
Soumya Ray, Stephen Scott, Hendrik Blockeel
2017 — ch.
Multiple-Instance Learning.
Encyclopedia of Machine Learning and Data Mining
Soumya Ray, Stephen Scott, Hendrik Blockeel
2015 J jnl
Genetic Algorithm Classifier System for Semi-Supervised Learning.
Comput. Intell.
Lee Dee Miller, Leen-Kiat Soh, Stephen Scott
2013 J jnl
New algorithms for budgeted learning.
Mach. Learn.
Kun Deng, Yaling Zheng, Chris Bourke, Stephen Scott, Julie Masciale
2010 A* conf
Active Learning from Multiple Noisy Labelers with Varied Costs.
ICDM
Yaling Zheng, Stephen Scott, Kun Deng
2010 — ch.
Multi-Instance Learning.
Encyclopedia of Machine Learning
Soumya Ray, Stephen Scott, Hendrik Blockeel
2007 A* conf
Bandit-Based Algorithms for Budgeted Learning.
ICDM
Kun Deng, Chris Bourke, Stephen Scott, Julie Sunderman, Yaling Zheng
2006 A* conf
Active Learning to Maximize Area Under the ROC Curve.
ICDM
Matt Culver, Kun Deng, Stephen Scott
2005 A* conf
Balancing Exploration and Exploitation: A New Algorithm for Active Machine Learning.
ICDM
Thomas Takeo Osugi, Kun Deng, Stephen Scott
2005 J jnl
On Generalized Multiple-instance Learning.
Int. J. Comput. Intell. Appl.
Stephen Scott, Jun Zhang, Joshua Brown
2004 B conf
An Extended Kernel for Generalized Multiple-Instance Learning.
ICTAI
Qingping Tao, Stephen Scott, N. V. Vinodchandran, Thomas Takeo Osugi, Brandon Mueller
2004 C conf
Creating an SVM to play strong poker.
ICMLA
Todd Blank, Leen-Kiat Soh, Stephen Scott
2004 J jnl
On approximating weighted sums with exponentially many terms.
J. Comput. Syst. Sci.
Deepak Chawla, Lin Li, Stephen Scott
2001 — conf
Efficiently Approximating Weighted Sums with Exponentially Many Terms.
COLT/EuroCOLT
Deepak Chawla, Lin Li, Stephen Scott