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Aaron Gilad Kusne

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2020 – today

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2020
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  - journals/mlst/DeCostHTKCG20
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  - https://dblp.org/rec/journals/mlst/DeCostHTKCG20
Brian DeCost, Jason Hattrick-Simpers, Zachary Trautt, Aaron Gilad Kusne, Eva Campo, Martin Green:
Scientific AI in materials science: a path to a sustainable and scalable paradigm. Mach. Learn. Sci. Technol. 1(3): 33001 (2020)

2010 – 2019

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2019
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  - conf/ijcnn/JhaKANLCA19
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Dipendra Jha, Aaron Gilad Kusne, Reda Al-Bahrani, Nam Nguyen, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
Peak Area Detection Network for Directly Learning Phase Regions from Raw X-ray Diffraction Patterns. IJCNN 2019: 1-8
2018
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  - journals/corr/abs-1811-08425
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Felipe Oviedo, Zekun Ren, Shijing Sun, Charlie Settens, Zhe Liu, Noor Titan Putri Hartono, Ramasamy Savitha, Brian L. DeCost, Siyu I. P. Tian, Giuseppe Romano, Aaron Gilad Kusne, Tonio Buonassisi:
Fast classification of small X-ray diffraction datasets using data augmentation and deep neural networks. CoRR abs/1811.08425 (2018)

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