| Causal learning and explanation of deep neural networks via autoencoded activations M Harradon, J Druce, B Ruttenberg arXiv preprint arXiv:1802.00541, 2018 | 91 | 2018 |
| Explainable Artificial Intelligence (XAI) for Increasing User Trust in Deep Reinforcement Learning Driven Autonomous Systems J Druce, M Harradon, J Tittle arXiv preprint arXiv:2106.03775, 2019 | 19 | 2019 |
| Brittle AI, Causal Confusion, and Bad Mental Models: Challenges and Successes in the XAI Program J Druce, J Niehaus, V Moody, D Jensen, ML Littman arXiv preprint arXiv:2106.05506, 2021 | 16 | 2021 |
| Privacy preserving neural network inference on encrypted data with GPUs D Takabi, R Podschwadt, J Druce, C Wu, K Procopio arXiv preprint arXiv:1911.11377, 2019 | 10 | 2019 |
| Locating material defects via wavefield demixing with morphologically germane dictionaries J Druce, S Gonella, M Kadkhodaie, S Jain, JD Haupt Structural Health Monitoring 16 (1), 112-125, 2017 | 8 | 2017 |
| Improving the Performance of Fine-Grain Image Classifiers via Generative Data Augmentation S Manjunath, A Nathaniel, J Druce, S German arXiv preprint arXiv:2008.05381, 2020 | 5 | 2020 |
| Probabilistic modeling of insider threat detection systems B Ruttenberg, D Blumstein, J Druce, M Howard, F Reed, L Wilfong, ... International Workshop on Graphical Models for Security, 91-98, 2017 | 5 | 2017 |
| Defect triangulation via demixing algorithms based on dictionaries with different morphological complexity J Druce, S Gonella, M Kadkhodaie, S Jain, J Haupt Proc. European Workshop on Struc. Health Monitoring (IWSHM), 2016 | 5 | 2016 |
| Locating rare and weak material anomalies by convex demixing of propagating wavefields M Kadkhodaie, S Jain, J Haupt, J Druce, S Gonella 2015 IEEE 6th International Workshop on Computational Advances in Multi …, 2015 | 5 | 2015 |
| Structural diagnostics via anomaly-driven demixing of wavefield data J Druce, M Kadkhodaie, JD Haupt, S Gonella 10th International Workshop on Structural Health Monitoring: System …, 2015 | 2 | 2015 |
| Predicting observable and occult injuries in trauma patients from sparse measurements. J Druce, M Metzger, N Gupta, R Kundi AIH@ IJCAI, 65-69, 2018 | | 2018 |
| Automatic Differentiation Equipped Variable Elimination for Sensitivity Analysis on Probabilistic Inference Queries J Druce | | 2017 |
| Agnostic Anomaly Detection Methodologies with Robust Inference Capability in Solid Media J Druce University of Minnesota, 2016 | | 2016 |
| Probabilistic Modeling of Insider Threat Detection Systems MH Blumstein, F Reed, J Druce, L Wilfong, C Lister, D Scofield, S Gaskin, ... | | |
| Support recovery guarantees for group Lasso estimator MK Elyaderani, S Jain, J Haupt, J Druce, S Gonella | | |
