| 2022 | ICDM | Bayesian Deep Structured Semantic Model for Sub-Linear-Time Information Retrieval. | Yuji Mo, Stephen D. Scott |
| 2022 | ICMLA | Self-Supervised Learning in the Twilight of Noisy Real-World Datasets. | Atharva Tendle, Andrew Little, Stephen D. Scott, Mohammad Rashedul Hasan |
| 2016 | ICDM | Learning Hierarchically Decomposable Concepts with Active Over-Labeling. | Yuji Mo, Stephen D. Scott, Doug Downey |
| 2016 | SDM | Constrained Group Testing to Predict Binding Response of Candidate Compounds. | Paul Quint, Stephen D. Scott, N. V. Vinodchandran, Bradley Worley |
| 2013 | AAAI | Selecting the Appropriate Consistency Algorithm for CSPs Using Machine Learning Classifiers. | Daniel J. Geschwender, Shant Karakashian, Robert J. Woodward, Berthe Y. Choueiry, Stephen D. Scott |
| 2009 | SIGCSE | Renaissance computing: an initiative for promoting student participation in computing. | Leen-Kiat Soh, Ashok Samal, Stephen D. Scott, Stephen Ramsay, Etsuko Moriyama, George Meyer, Brian Moore, William G. Thomas, Duane F. Shell |
| 2005 | ICML | New kernels for protein structural motif discovery and function classification. | Chang Wang, Stephen D. Scott |
| 2004 | FlAIRS | A Faster Algorithm for Generalized Multiple-Instance Learning. | Qingping Tao, Stephen D. Scott |
| 2004 | ICMLA | EMPRR: a high-dimensional EM-based peicewise regression algorithm. | Manimozhiyan Arumugam, Stephen D. Scott |
| 2004 | ICMLA | LASSO: a learning architecture for semantic web ontologies. | Christopher N. Hammack, Stephen D. Scott |
| 2004 | ICMLA | Agnostic learning of general geometric patterns and multi-instance learning in R | Stephen D. Scott |
| 2003 | GLOBECOM | A novel fiber delay line buffering architecture for optical packet switching. | Lin Li, Stephen D. Scott, Jitender S. Deogun |
| 1998 | STOC | TCP Dynamic Acknowledgment Delay: Theory and Practice (Extended Abstract). | Daniel R. Dooly, Sally A. Goldman, Stephen D. Scott |
| 1997 | COLT | Learning from Examples with Unspecified Attribute Values (Extended Abstract). | Sally A. Goldman, Stephen Kwek, Stephen D. Scott |
| 1997 | COLT | Agnostic Learning of Geometric Patterns (Extended Abstract). | Sally A. Goldman, Stephen Kwek, Stephen D. Scott |
| 1996 | ICML | A Theoretical and Empirical Study of a Noise-Tolerant Algorithm to Learn Geormetric Patterns. | Sally A. Goldman, Stephen D. Scott |
| 1995 | FPGA | HGA: A Hardware-Based Genetic Algorithm. | Stephen D. Scott, Ashok Samal, Sharad C. Seth |