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Search: "[ keyword: Neural Network ]" (99)
Graph Reasoning and Context Fusion for Multi-Task, Multi-Hop Question Answering
Sangui Lee, Incheol Kim KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 8, pp. 319-330,
Aug.
2021
https://doi.org/10.3745/KTSDE.2021.10.8.319
Keywords: Open Domain Question Answering, Multi-hop Reasoning, Multi-task Question, Hierarchical Graph, Graph Neural Network
https://doi.org/10.3745/KTSDE.2021.10.8.319
Keywords: Open Domain Question Answering, Multi-hop Reasoning, Multi-task Question, Hierarchical Graph, Graph Neural Network
1D CNN and Machine Learning Methods for Fall Detection
Inkyung Kim, Daehee Kim, Song Noh, Jaekoo Lee KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 3, pp. 85-90,
Mar.
2021
https://doi.org/10.3745/KTSDE.2021.10.3.85
Keywords: Machine Learning, Deep Learning, Fall Detection, 1D Convolutional Neural Network
https://doi.org/10.3745/KTSDE.2021.10.3.85
Keywords: Machine Learning, Deep Learning, Fall Detection, 1D Convolutional Neural Network
Mortality Prediction of Older Adults Using Random Forest and Deep Learning
Junhyeok Park, Songwook Lee KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 10, pp. 309-316,
Oct.
2020
https://doi.org/10.3745/KTSDE.2020.9.10.309
Keywords: Mortality Prediction, Convolutional Neural Network, Random Forest, Feature selection, Deep Learning
https://doi.org/10.3745/KTSDE.2020.9.10.309
Keywords: Mortality Prediction, Convolutional Neural Network, Random Forest, Feature selection, Deep Learning
Bilinear Graph Neural Network-Based Reasoning for Multi-Hop Question Answering
Sangui Lee, Incheol Kim KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 8, pp. 243-250,
Aug.
2020
https://doi.org/10.3745/KTSDE.2020.9.8.243
Keywords: Open Domain Question Answering, Knowledge Graph, Complex Question, Graph Neural Network
https://doi.org/10.3745/KTSDE.2020.9.8.243
Keywords: Open Domain Question Answering, Knowledge Graph, Complex Question, Graph Neural Network
Performance Improvement Method of Convolutional Neural Network Using Agile Activation Function
Na Young Kong, Young Min Ko, Sun Woo Ko KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 7, pp. 213-220,
Jul.
2020
https://doi.org/10.3745/KTSDE.2020.9.7.213
Keywords: Convolutional Neural Network, Agile Activation Function, Backpropagation, Learning
https://doi.org/10.3745/KTSDE.2020.9.7.213
Keywords: Convolutional Neural Network, Agile Activation Function, Backpropagation, Learning
Parameter-Efficient Neural Networks Using Template Reuse
Daeyeon Kim, Woochul Kang KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 5, pp. 169-176,
May.
2020
https://doi.org/10.3745/KTSDE.2020.9.5.169
Keywords: Neural Network, Parameter Sharing, Layer Reuse, Parameter Efficiency
https://doi.org/10.3745/KTSDE.2020.9.5.169
Keywords: Neural Network, Parameter Sharing, Layer Reuse, Parameter Efficiency
Estimating Gastrointestinal Transition Location Using CNN-based Gastrointestinal Landmark Classifier
Hyeon Woong Jang, Chang Nam Lim, Ye-Suel Park, Gwang Jae Lee, Jung-Won Lee KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 3, pp. 101-108,
Mar.
2020
https://doi.org/10.3745/KTSDE.2020.9.3.101
Keywords: Capsule Endoscopy(CE), Convolutional Neural Network(CNN), Gastrointestinal Location Tracking
https://doi.org/10.3745/KTSDE.2020.9.3.101
Keywords: Capsule Endoscopy(CE), Convolutional Neural Network(CNN), Gastrointestinal Location Tracking
KG_VCR: A Visual Commonsense Reasoning Model Using Knowledge Graph
JaeYun Lee, Incheol Kim KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 3, pp. 91-100,
Mar.
2020
https://doi.org/10.3745/KTSDE.2020.9.3.91
Keywords: Visual Commonsense Reasoning, deep neural network, Graph Convolutional Network, Knowledge Graph Embedding
https://doi.org/10.3745/KTSDE.2020.9.3.91
Keywords: Visual Commonsense Reasoning, deep neural network, Graph Convolutional Network, Knowledge Graph Embedding
Predicting Win-Loss of League of Legends Using Bidirectional LSTM Embedding
Cheolgi Kim, Soowon Lee KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 2, pp. 61-68,
Feb.
2020
https://doi.org/10.3745/KTSDE.2020.9.2.61
Keywords: League of Legends, Win-Loss Prediction, Machine Learning, Neural Network, LSTM
https://doi.org/10.3745/KTSDE.2020.9.2.61
Keywords: League of Legends, Win-Loss Prediction, Machine Learning, Neural Network, LSTM
Automatic Word Spacing of the Korean Sentences by Using End-to-End Deep Neural Network
Hyun Young Lee, Seung Shik Kang KIPS Transactions on Software and Data Engineering,
Vol. 8, No. 11, pp. 441-448,
Nov.
2019
https://doi.org/10.3745/KTSDE.2019.8.11.441
Keywords: Syllable Embedding, Bi-LSTM, Feedforward Neural Network, Neural Network Language Model, Linear-Chain CRF
https://doi.org/10.3745/KTSDE.2019.8.11.441
Keywords: Syllable Embedding, Bi-LSTM, Feedforward Neural Network, Neural Network Language Model, Linear-Chain CRF
Indexing
All publications of KTSDE is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.
KTSDE is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).
