Lawrence Neal
Research & Prototyping Engineer
Portland, OR
Computer Vision, Machine Learning, & Artificial Intelligence
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Lawrence Neal, Forrest Briggs, Raviv Raich, Xiaoli Z. Fern, Time-Frequency Segmentation of Bird Song in Noisy Acoustic Environments, ICASSP 2011. pdf
Forrest Briggs, Balaji Lakshminarayanan, Lawrence Neal, Xiaoli Z. Fern, and Raviv Raich. Acoustic classification of multiple simultaneous bird species: A multi-instance multi-label approach, The Journal of the Acoustical Society of America 131. 2012. pdf
Lawrence Neal, Detection and Segmentation of Bird Song in Noisy Environments (thesis). 2012. pdf poster slides
Lawrence Neal, Matthew Olson, Weng-Keen Wong, Xiaoli Fern, Fuxin Li. Open Set Learning with Counterfactual Images. Proceedings of the European Conference on Computer Vision (ECCV). 2018. pdf supplementary
Rey Pocius, Lawrence Neal, Alan Fern. Strategic Tasks for Explainable Reinforcement Learning. Thirty Third AAAI Conference on Artificial Intelligence (student abstract). 2019. pdf
Matthew Olson, Lawrence Neal, Fuxin Li, Weng-Keen Wong. Counterfactual States for Atari Agents via Generative Deep Learning. International Joint Conference on Artificial Intelligence workshop on Explainable AI. Macao, China, August 2019. pdf
Matthew Olson, Roli Khanna, Lawrence Neal, Fuxin Li, and Weng-Keen Wong. Counterfactual state explanations for reinforcement learning agents via generative deep learning. Artificial Intelligence 295. 2021. pdf
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