| Exploring adversarial examples in malware detection O Suciu, SE Coull, J Johns 2019 IEEE Security and Privacy Workshops (SPW), 8-14, 2019 | 188 | 2019 |
| Repairing disengagement with non-invasive interventions I Arroyo, K Ferguson, J Johns, T Dragon, H Meheranian, D Fisher, A Barto, ... AIED 2007, 195-202, 2007 | 160 | 2007 |
| A dynamic mixture model to detect student motivation and proficiency J Johns, B Woolf AAAI, 163-168, 2006 | 151 | 2006 |
| Linear complementarity for regularized policy evaluation and improvement J Johns, C Painter-Wakefield, R Parr Advances in neural information processing systems 23, 2010 | 62 | 2010 |
| Estimating student proficiency using an item response theory model J Johns, S Mahadevan, B Woolf International conference on intelligent tutoring systems, 473-480, 2006 | 52 | 2006 |
| Constructing basis functions from directed graphs for value function approximation J Johns, S Mahadevan Proceedings of the 24th international conference on Machine learning, 385-392, 2007 | 43 | 2007 |
| Evaluating the feasibility of learning student models from data A Jonsson, J Johns, H Mehranian, I Arroyo, B Woolf, A Barto, D Fisher, ... Educational Data Mining: Papers from the AAAI Workshop, 1-6, 2005 | 37 | 2005 |
| Hybrid least-squares algorithms for approximate policy evaluation J Johns, M Petrik, S Mahadevan Machine learning 76, 243-256, 2009 | 20 | 2009 |
| Compact spectral bases for value function approximation using Kronecker factorization J Johns, S Mahadevan, C Wang AAAI 7, 559-564, 2007 | 16 | 2007 |
| Sparse approximate policy evaluation using graph-based basis functions J Johns, S Mahadevan Dept. Comput. Sci., Univ. Massachusetts Amherst, Amherst, MA, USA, Tech. Rep …, 2009 | 11 | 2009 |
| Basis Construction and Utilization for Markov Decision Processes using Graphs JT Johns University of Massachusetts Amherst, 2010 | 6 | 2010 |
| Woolf. BP Repairing Disengagement with Non-Invasive Interventions I Arroyo, K Ferguson, J Johns, T Dragon, H Meheranian, D Fisher, A Barto, ... Proceedings of the 13th International Conference on Artificial Intelligence …, 0 | 6 | |
| A variational learning algorithm for the abstract hidden markov model J Johns, S Mahadevan PROCEEDINGS OF THE NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE 20 (1), 9, 2005 | 3 | 2005 |
| Learning to Plan Using Harmonic Analysis of Diffusion Models. S Mahadevan, S Osentoski, J Johns, K Ferguson, C Wang ICAPS, 224-231, 2007 | 1 | 2007 |
| Representation Discovery in Planning using Harmonic Analysis. J Johns, S Osentoski, S Mahadevan AAAI Fall Symposium: Computational Approaches to Representation Change …, 2007 | 1 | 2007 |
Sridhar MahadevanDirector, Data Science Lab, Adobe Research & Professor, University of Massachusetts, AmherstVerified email at cs.umass.edu
