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Structure Prediction from Neutron Scattering Profiles: A Data Sciences Approach., , , , and . IEEE BigData, page 1147-1155. IEEE, (2020)Multiclass Diffuse Interface Models for Semi-supervised Learning on Graphs., , and . ICPRAM, page 78-86. SciTePress, (2013)Tomographic Reconstruction Via 3D Convolutional Dictionary Learning., and . IVMSP, page 1-5. IEEE, (2018)Multiclass Diffuse Interface Models for Semi-Supervised Learning on Graphs, , and . CoRR, (2012)CANDLE/Supervisor: a workflow framework for machine learning applied to cancer research., , , , , , , , , and 3 other author(s). BMC Bioinform., 19-S (18): 59-69 (2018)Reinforcement Learning for Block Decomposition of CAD Models., , , and . CoRR, (2023)Learning to Predict Material Structure from Neutron Scattering Data., , , , , and . IEEE BigData, page 4490-4497. IEEE, (2019)A Deep Learning Pipeline for Optimizing Large-scale Phase Field Simulations., , , and . IEEE Big Data, page 1744-1753. IEEE, (2023)Co-design Center for Exascale Machine Learning Technologies (ExaLearn)., , , , , , , , , and 37 other author(s). Int. J. High Perform. Comput. Appl., 35 (6): 598-616 (2021)Multiclass Semi-supervised Learning on Graphs Using Ginzburg-Landau Functional Minimization., , and . ICPRAM (Selected Papers), volume 318 of Advances in Intelligent Systems and Computing, page 119-135. Springer, (2013)