226 citations · 729 across the 62 of their papers we have counts for
4 papers · 1 filter
Learning Localized Geometric Features Using 3D-CNN: An Application to Manufacturability Analysis of Drilled Holes
Aditya Balu, Sambit Ghadai, Kin Gwn Lore +3
3D convolutional neural networks (3D-CNN) have been used for object recognition based on the voxelized shape of an object. In this paper, we present a 3D-CNN based method to learn…
Data-driven root-cause analysis for distributed system anomalies
Chao Liu, Kin Gwn Lore, Soumik Sarkar
Modern distributed cyber-physical systems encounter a large variety of anomalies and in many cases, they are vulnerable to catastrophic fault propagation scenarios due to strong co…
Deep Action Sequence Learning for Causal Shape Transformation
Kin Gwn Lore, Daniel Stoecklein, Michael Davies +2
Deep learning became the method of choice in recent year for solving a wide variety of predictive analytics tasks. For sequence prediction, recurrent neural networks (RNN) are ofte…
An end-to-end convolutional selective autoencoder approach to Soybean Cyst Nematode eggs detection
Adedotun Akintayo, Nigel Lee, Vikas Chawla +7
This paper proposes a novel selective autoencoder approach within the framework of deep convolutional networks. The crux of the idea is to train a deep convolutional autoencoder to…