Spectral transfer learning using information geometry for a user-independent brain-computer interface NR Waytowich, VJ Lawhern, AW Bohannon, KR Ball, BJ Lance Frontiers in neuroscience 10, 430, 2016 | 92 | 2016 |
Enhancing human-agent teaming with individualized, adaptive technologies: A discussion of critical scientific questions AH DeCostanza, AR Marathe, A Bohannon, AW Evans, ET Palazzolo, ... US Army Research Laboratory Aberdeen Proving Ground United States, 2018 | 74 | 2018 |
A resilient and energy-aware task allocation framework for heterogeneous multirobot systems G Notomista, S Mayya, Y Emam, C Kroninger, A Bohannon, S Hutchinson, ... IEEE Transactions on Robotics 38 (1), 159-179, 2021 | 67 | 2021 |
Adaptive task allocation for heterogeneous multi-robot teams with evolving and unknown robot capabilities Y Emam, S Mayya, G Notomista, A Bohannon, M Egerstedt 2020 IEEE International Conference on Robotics and Automation (ICRA), 7719-7725, 2020 | 50 | 2020 |
Cortically coupled computing: A new paradigm for synergistic human-machine interaction S Saproo, J Faller, V Shih, P Sajda, NR Waytowich, A Bohannon, ... Computer 49 (9), 60-68, 2016 | 21 | 2016 |
A filtering framework for time-varying graph signals AW Bohannon, BM Sadler, RV Balan Vertex-Frequency Analysis of Graph Signals, 341-376, 2019 | 16 | 2019 |
The autoregressive linear mixture model: A time-series model for an instantaneous mixture of network processes AW Bohannon, VJ Lawhern, NR Waytowich, RV Balan IEEE Transactions on Signal Processing 68, 4481-4496, 2020 | 12 | 2020 |
A reinforcement learning approach for scheduling in mmwave networks MG Dogan, YH Ezzeldin, C Fragouli, AW Bohannon MILCOM 2021-2021 IEEE Military Communications Conference (MILCOM), 771-776, 2021 | 11 | 2021 |
Using the complex polynomial method with Mathematica to model problems involving the Laplace and Poisson equations AC Poler, AW Bohannon, SJ Schowalter, TV Hromadka Numerical Methods for Partial Differential Equations: An International …, 2009 | 11 | 2009 |
The complex polynomial method with a least-squares fit to boundary conditions AW Bohannon, TV Hromadka Engineering analysis with boundary elements 33 (8-9), 1100-1102, 2009 | 10 | 2009 |
Collaborative image triage with humans and computer vision AW Bohannon, NR Waytowich, VJ Lawhern, BM Sadler, BJ Lance 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016 | 7 | 2016 |
A framework for enhancing human-agent teamwork through adaptive individualized technologies AW Bohannon, SM Fitzhugh, AH DeCostanza Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2019 | 5 | 2019 |
Determining day‐to‐day human variation in indirect calorimetry using Bayesian decision theory MS Tenan, AW Bohannon, DJ Macfarlane, SE Crouter Experimental physiology 103 (12), 1579-1585, 2018 | 5 | 2018 |
Modeling ground water problems using the complex polynomial method AW Bohannon, TV Hromadka J. Professional Geologist, 39-46, 2008 | 3 | 2008 |
Torque Estimation Using Neural Drive for a Concentric Contraction LP Leahy, A Bohannon, S Rangavajhala, AJ Tweedell, N Hogan, ... 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 2 | 2020 |
Learning flexible representations of stochastic processes on graphs AW Bohannon, BM Sadler, RV Balan 2018 IEEE Data Science Workshop (DSW), 61-65, 2018 | 1 | 2018 |
Signal Processing for Time-Series Functions on a Graph H Muñoz-Barona, J Vettel, A Bohannon US Army Research Laboratory, 2018 | 1 | 2018 |
Estimating Functional Connectivity from fMRI Data Using a Frequency-Sparse Multivariate Autoregressive Model AW Bohannon, JO Garcia, JM Vettel, RV Balan Poster. 2018 Graph Signal Processing Workshop. Laussanne, Switzerland, 2018 | 1 | 2018 |
A Reinforcement Learning Approach for Scheduling in mmWave Networks M Gokce Dogan, YH Ezzeldin, C Fragouli, AW Bohannon arXiv e-prints, arXiv: 2108.00548, 2021 | | 2021 |
Stochastic processes on graphs: learning representations and applications AW Bohannon University of Maryland, College Park, 2019 | | 2019 |