Distributed information fusion in multistatic sensor networks for underwater surveillance P Braca, R Goldhahn, G Ferri, KD LePage IEEE Sensors Journal 16 (11), 4003-4014, 2015 | 117 | 2015 |
Waveguide invariant broadband target detection and reverberation estimation R Goldhahn, G Hickman, J Krolik The Journal of the Acoustical Society of America 124 (5), 2841-2851, 2008 | 51 | 2008 |
A non-myopic, receding horizon control strategy for an AUV to track an underwater target in a bistatic sonar scenario G Ferri, A Munafò, R Goldhahn, K LePage 53rd IEEE Conference on Decision and Control, 5352-5358, 2014 | 35 | 2014 |
Cognitive multistatic AUV networks P Braca, R Goldhahn, KD LePage, S Marano, V Matta, P Willett 17th International Conference on Information Fusion (FUSION), 1-7, 2014 | 27 | 2014 |
Enhancing AUV localization using underwater acoustic sensor networks: Results in long baseline navigation from the COLLAB13 sea trial A Munafò, J Sliwka, G Ferri, A Vermeij, R Goldhahn, K LePage, J Alves, ... 2014 Oceans-St. John's, 1-7, 2014 | 25 | 2014 |
Robust decentralized learning using ADMM with unreliable agents Q Li, B Kailkhura, R Goldhahn, P Ray, PK Varshney IEEE Transactions on Signal Processing 70, 2743-2757, 2022 | 24 | 2022 |
Autonomous networked anti-submarine warfare research and development at CMRE KD LePage, R Goldhahn, J Alves, C Strode, P Braca, G Ferri, A Munafò, ... OCEANS 2015-Genova, 1-6, 2015 | 22 | 2015 |
Certifiably-robust federated adversarial learning via randomized smoothing C Chen, B Kailkhura, R Goldhahn, Y Zhou 2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems …, 2021 | 16 | 2021 |
Robust federated learning using admm in the presence of data falsifying byzantines Q Li, B Kailkhura, R Goldhahn, P Ray, PK Varshney arXiv preprint arXiv:1710.05241, 2017 | 16 | 2017 |
Waveguide invariant reverberation mitigation for active sonar R Goldhahn, G Hickman, JL Krolik 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007 | 16 | 2007 |
Sequential optimal positioning of mobile sensors using mutual information K Schmidt, RC Smith, J Hite, J Mattingly, Y Azmy, D Rajan, R Goldhahn Statistical Analysis and Data Mining: The ASA Data Science Journal 12 (6 …, 2019 | 15 | 2019 |
AUV active perception: Exploiting the water column A Munafó, G Ferri, K LePage, R Goldhahn OCEANS 2017-Aberdeen, 1-8, 2017 | 15 | 2017 |
A waveguide invariant adaptive matched filter for active sonar target depth classification R Goldhahn, G Hickman, J Krolik The Journal of the Acoustical Society of America 129 (4), 1813-1824, 2011 | 14 | 2011 |
Mixture of robust experts (more): A robust denoising method towards multiple perturbations K Xu, C Wang, H Cheng, B Kailkhura, X Lin, R Goldhahn arXiv preprint arXiv:2104.10586, 2021 | 13* | 2021 |
Results from COLLAB13 sea trial on tracking underwater targets with AUVs in bistatic sonar scenarios G Ferri, A Munafò, R Goldhahn, K LePage 2014 Oceans-St. John's, 1-9, 2014 | 13 | 2014 |
Collaborative energy demand response with decentralized actor and centralized critic R Glatt, FL Silva, B Soper, WA Dawson, E Rusu, RA Goldhahn Proceedings of the 8th ACM International Conference on Systems for Energy …, 2021 | 12 | 2021 |
Environmentally sensitive particle filter tracking in multistatic AUV networks with port-starboard ambiguity R Goldhahn, P Braca, KD LePage, P Willett, S Marano, V Matta 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 12 | 2014 |
Towards fully autonomous underwater vehicles in ASW scenarios: An adaptive, data driven AUV mission management layer G Ferri, A Munafò, R Goldhahn, K LePage OCEANS 2015-Genova, 1-9, 2015 | 11 | 2015 |
Byzantine-resilient locally optimum detection using collaborative autonomous networks B Kailkhura, P Ray, D Rajan, A Yen, P Barnes, R Goldhahn 2017 IEEE 7th international workshop on computational advances in multi …, 2017 | 9 | 2017 |
Less is more: Data pruning for faster adversarial training Y Li, P Zhao, X Lin, B Kailkhura, R Goldhahn arXiv preprint arXiv:2302.12366, 2023 | 7 | 2023 |