Dipendra Jha
According to our database1,
Dipendra Jha
authored at least 11 papers
between 2016 and 2022.
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Bibliography
2022
An Incremental Phase Mapping Approach for X-ray Diffraction Patterns using Binary Peak Representations.
CoRR, 2022
Designing an Efficient End-to-end Machine Learning Pipeline for Real-time Empty-shelf Detection.
CoRR, 2022
2021
A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials Design.
CoRR, 2021
Enhancing Phase Mapping for High-throughput X-ray Diffraction Experiments using Fuzzy Clustering.
Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021
SIGRNN: Synthetic Minority Instances Generation in Imbalanced Datasets using a Recurrent Neural Network.
Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021
2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Peak Area Detection Network for Directly Learning Phase Regions from Raw X-ray Diffraction Patterns.
Proceedings of the International Joint Conference on Neural Networks, 2019
2018
CheMixNet: Mixed DNN Architectures for Predicting Chemical Properties using Multiple Molecular Representations.
CoRR, 2018
2017
Parallel Deep Convolutional Neural Network Training by Exploiting the Overlapping of Computation and Communication.
Proceedings of the 24th IEEE International Conference on High Performance Computing, 2017
2016
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016