Stephen Scott

Publication Activity (10 Years)

Years Active: 2001-2021
Publications (10 Years): 6

Top Topics

Markov Decision Process

Supervised Learning

Learning Models

Top Venues

Briefings Bioinform.

Publications

Haluk Dogan, Zeynep Hakguder, Roland Madadjim, Stephen Scott, Massimiliano Pierobon, Juan Cui
Elucidation of dynamic microRNA regulations in cancer progression using integrative machine learning. Briefings Bioinform. 22 (6) (2021)
Aziza Alzadjali, Mohammed H. Alali, Arun Narenthiran Veeranampalayam Sivakumar, Jitender S. Deogun, Stephen Scott, James C. Schnable, Yeyin Shi
Maize Tassel Detection From UAV Imagery Using Deep Learning. Frontiers Robotics AI 8 (2021)
Arun Narenthiran Veeranampalayam Sivakumar, Jiating Li, Stephen Scott, Eric Psota, Amit J. Jhala, Joe D. Luck, Yeyin Shi
Comparison of Object Detection and Patch-Based Classification Deep Learning Models on Mid- to Late-Season Weed Detection in UAV Imagery. Remote. Sens. 12 (13) (2020)
Eleanor Quint, Dong Xu, Haluk Dogan, Zeynep Hakguder, Stephen Scott, Matthew B. Dwyer
Formal Language Constraints for Markov Decision Processes. CoRR (2019)
Haluk Dogan, Zeynep Hakguder, Stephen Scott, Juan Cui
Elucidation of MicroRNA-Gene Regulation in Human Cancer with Integrative Network Models. BIBM (2019)
Lee Dee Miller, Leen-Kiat Soh, Stephen Scott
Genetic Algorithm Classifier System for Semi-Supervised Learning. Comput. Intell. 31 (2) (2015)
Kun Deng, Yaling Zheng, Chris Bourke, Stephen Scott, Julie Masciale
New algorithms for budgeted learning. Mach. Learn. 90 (1) (2013)
Yaling Zheng, Stephen Scott, Kun Deng
Active Learning from Multiple Noisy Labelers with Varied Costs. ICDM (2010)
Kun Deng, Chris Bourke, Stephen Scott, Julie Sunderman, Yaling Zheng
Bandit-Based Algorithms for Budgeted Learning. ICDM (2007)
Matt Culver, Kun Deng, Stephen Scott
Active Learning to Maximize Area Under the ROC Curve. ICDM (2006)
Stephen Scott, Jun Zhang, Joshua Brown
On Generalized Multiple-instance Learning. Int. J. Comput. Intell. Appl. 5 (1) (2005)
Thomas Takeo Osugi, Kun Deng, Stephen Scott
Balancing Exploration and Exploitation: A New Algorithm for Active Machine Learning. ICDM (2005)
Todd Blank, Leen-Kiat Soh, Stephen Scott
Creating an SVM to play strong poker. ICMLA (2004)
Deepak Chawla, Lin Li, Stephen Scott
On approximating weighted sums with exponentially many terms. J. Comput. Syst. Sci. 69 (2) (2004)
Qingping Tao, Stephen Scott, N. V. Vinodchandran, Thomas Takeo Osugi, Brandon Mueller
An Extended Kernel for Generalized Multiple-Instance Learning. ICTAI (2004)
Deepak Chawla, Lin Li, Stephen Scott
Efficiently Approximating Weighted Sums with Exponentially Many Terms. COLT/EuroCOLT (2001)