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A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials Design., , , , , and . CoRR, (2021)Peak Area Detection Network for Directly Learning Phase Regions from Raw X-ray Diffraction Patterns., , , , , , and . IJCNN, page 1-8. IEEE, (2019)Designing an Efficient End-to-end Machine Learning Pipeline for Real-time Empty-shelf Detection., , and . CoRR, (2022)An Incremental Phase Mapping Approach for X-ray Diffraction Patterns using Binary Peak Representations., , , , , , , , , and . CoRR, (2022)SIGRNN: Synthetic Minority Instances Generation in Imbalanced Datasets using a Recurrent Neural Network., , , , , , , and . ICPRAM, page 349-356. SCITEPRESS, (2021)Parallel Deep Convolutional Neural Network Training by Exploiting the Overlapping of Computation and Communication., , , , and . HiPC, page 183-192. IEEE Computer Society, (2017)Enhancing Phase Mapping for High-throughput X-ray Diffraction Experiments using Fuzzy Clustering., , , , , , , , and . ICPRAM, page 507-514. SCITEPRESS, (2021)IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery., , , , , , , and . KDD, page 2385-2393. ACM, (2019)PinterNet: A thematic label curation tool for large image datasets., , , , , , , and . IEEE BigData, page 2353-2362. IEEE Computer Society, (2016)CheMixNet: Mixed DNN Architectures for Predicting Chemical Properties using Multiple Molecular Representations., , , , , and . CoRR, (2018)