| 2025 | ICMLA | Topology of Out-of-Distribution Examples in Deep Neural Networks. | Esha Datta, Johanna Hennig, Eva Domschot, Connor Mattes, Michael R. Smith |
| 2025 | ICMLA | From Uncertainty to Clarity: Projecting Points onto Classification Boundaries Using Distance Metrics. | Michael R. Smith, Eva Domschot |
| 2021 | HCI | Sage Advice? The Impacts of Explanations for Machine Learning Models on Human Decision-Making in Spam Detection. | Mallory C. Stites, Megan Nyre-Yu, Blake Moss, Charles Smutz, Michael R. Smith |
| 2020 | CCS | Mind the Gap: On Bridging the Semantic Gap between Machine Learning and Malware Analysis. | Michael R. Smith, Nicholas T. Johnson, Joe B. Ingram, Armida J. Carbajal, Bridget I. Haus, Eva Domschot, Ramyaa, Christopher C. Lamb, Stephen J. Verzi, W. Philip Kegelmeyer |
| 2018 | ICMLA | Dynamic Analysis of Executables to Detect and Characterize Malware. | Michael R. Smith, Joe Ingram, Christopher C. Lamb, Timothy Draelos, Justin E. Doak, James B. Aimone, Conrad D. James |
| 2017 | IJCNN | A novel digital neuromorphic architecture efficiently facilitating complex synaptic response functions applied to liquid state machines. | Michael R. Smith, Aaron J. Hill, Kristofor D. Carlson, Craig M. Vineyard, Jonathon Donaldson, David R. Follett, Pamela L. Follett, John H. Naegle, Conrad D. James, James B. Aimone |
| 2015 | IJCNN | A minimal architecture for general cognition. | Michael S. Gashler, Zachariah Kindle, Michael R. Smith |
| 2015 | IJCNN | A hybrid latent variable neural network model for item recommendation. | Michael R. Smith, Michael S. Gashler, Tony R. Martinez |
| 2015 | IJCNN | Using Classifier diversity to handle label noise. | Michael R. Smith, Tony R. Martinez |
| 2014 | ECAI | Recommending Learning Algorithms and Their Associated Hyperparameters. | Michael R. Smith, Logan Mitchell, Christophe G. Giraud-Carrier, Tony R. Martinez |
| 2014 | ECAI | An Easy to Use Repository for Comparing and Improving Machine Learning Algorithm Usage. | Michael R. Smith, Andrew White, Christophe G. Giraud-Carrier, Tony R. Martinez |
| 2014 | ICMLA | Reducing the Effects of Detrimental Instances. | Michael R. Smith, Tony R. Martinez |
| 2011 | IJCNN | Improving classification accuracy by identifying and removing instances that should be misclassified. | Michael R. Smith, Tony R. Martinez |
| 2008 | ISSRE | E-RACE, A Hardware-Assisted Approach to Lockset-Based Data Race Detection for Embedded Products. | Lily Huang, Michael R. Smith, Albert Tran, James Miller |
| 2008 | ISSRE | A Hardware-Assisted Tool for Fast, Full Code Coverage Analysis. | Albert Tran, Michael R. Smith, James Miller |
| 2007 | ITiCSE | A TDD approach to introducing students to embedded programming. | James Miller, Michael R. Smith |
| 2000 | ICSE | Empirical investigation of a novel approach to check the integrity of software engineering measuring processes (poster). | Skylar Lei, Michael R. Smith, Giancarlo Succi |
| 2000 | ICSE | Supporting dynamic composition of components. | Giancarlo Succi, Raymond Wong, Eric Liu, Michael R. Smith |
| 1989 | ICASSP | The use of modeling as an alternative magnetic resonance image technique. | Michael R. Smith, S. T. Nichols |
| 1987 | ICASSP | A SVD-based transient error method for analyzing noisy multicomponent exponential signals. | M. J. E. Salami, S. T. Nichols, Michael R. Smith |