Digital Library
Search: "[ keyword: Learning ]" (262)
A Study on the Deep Learning-Based Textbook Questionnaires Detection Experiment
Kim Tae Jong, Han Tae In, Ji Su Park KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 11, pp. 513-520,
Nov.
2021
https://doi.org/10.3745/KTSDE.2021.10.11.513
Keywords: Deep Learning, Textbook Questionnaires Detection Model, Detection Model, computer vision
https://doi.org/10.3745/KTSDE.2021.10.11.513
Keywords: Deep Learning, Textbook Questionnaires Detection Model, Detection Model, computer vision
Fall Detection Based on 2-Stacked Bi-LSTM and Human-Skeleton Keypoints of RGBD Camera
Shin Byung Geun, Kim Uung Ho, Lee Sang Woo, Yang Jae Young, Kim Wongyum KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 11, pp. 491-500,
Nov.
2021
https://doi.org/10.3745/KTSDE.2021.10.11.491
Keywords: Fall Detection, deep-learning, Skeleton Keypoints, Stacked Bi-LSTM
https://doi.org/10.3745/KTSDE.2021.10.11.491
Keywords: Fall Detection, deep-learning, Skeleton Keypoints, Stacked Bi-LSTM
Adversarial Learning-Based Image Correction Methodology for Deep Learning Analysis of Heterogeneous Images
Junwoo Kim, Namgyu Kim KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 11, pp. 457-464,
Nov.
2021
https://doi.org/10.3745/KTSDE.2021.10.11.457
Keywords: Adversarial Learning, Color Constancy, Heterogeneous Images, Illumination Estimation, Image Correction
https://doi.org/10.3745/KTSDE.2021.10.11.457
Keywords: Adversarial Learning, Color Constancy, Heterogeneous Images, Illumination Estimation, Image Correction
Alleviation of Vanishing Gradient Problem Using Parametric Activation Functions
Young Min Ko, Sun Woo Ko KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 10, pp. 407-420,
Oct.
2021
https://doi.org/10.3745/KTSDE.2021.10.10.407
Keywords: deep neural network, Vanishing Gradient Problem, Parametric Activation Function, Backpropagation, Learning
https://doi.org/10.3745/KTSDE.2021.10.10.407
Keywords: deep neural network, Vanishing Gradient Problem, Parametric Activation Function, Backpropagation, Learning
Leased Line Traffic Prediction Using a Recurrent Deep Neural Network Model
In-Gyu Lee, Mi-Hwa Song KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 10, pp. 391-398,
Oct.
2021
https://doi.org/10.3745/KTSDE.2021.10.10.391
Keywords: Leased Line, Traffic Modeling, time series analysis, Deep Learning, RNN, LSTM
https://doi.org/10.3745/KTSDE.2021.10.10.391
Keywords: Leased Line, Traffic Modeling, time series analysis, Deep Learning, RNN, LSTM
Deep Learning Model Validation Method Based on Image Data Feature Coverage
Chang-Nam Lim, Ye-Seul Park, Jung-Won Lee KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 9, pp. 375-384,
Sep.
2021
https://doi.org/10.3745/KTSDE.2021.10.9.375
Keywords: Deep Learning, Coverage Testing, Image Feature Extraction, Validation Method, Dataset Splitting Method
https://doi.org/10.3745/KTSDE.2021.10.9.375
Keywords: Deep Learning, Coverage Testing, Image Feature Extraction, Validation Method, Dataset Splitting Method
Deep Learning-Based Stock Fluctuation Prediction According to Overseas Indices and Trading Trend by Investors
Tae Seung Kim, Soowon Lee KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 9, pp. 367-374,
Sep.
2021
https://doi.org/10.3745/KTSDE.2021.10.9.367
Keywords: Stock Price Fluctuation Prediction, Deep Learning, Overseas Indices, Trading Trends by Investor
https://doi.org/10.3745/KTSDE.2021.10.9.367
Keywords: Stock Price Fluctuation Prediction, Deep Learning, Overseas Indices, Trading Trends by Investor
Classifying Sub-Categories of Apartment Defect Repair Tasks: A Machine Learning Approach
Eunhye Kim, HongGeun Ji, Jina Kim, Eunil Park, Jay Y. Ohm KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 9, pp. 359-366,
Sep.
2021
https://doi.org/10.3745/KTSDE.2021.10.9.359
Keywords: Apartment, Defect, Repair Tasks, Sub Category, Finishing Works, Machine Learning
https://doi.org/10.3745/KTSDE.2021.10.9.359
Keywords: Apartment, Defect, Repair Tasks, Sub Category, Finishing Works, Machine Learning
Bayesian Optimization Framework for Improved Cross-Version Defect Prediction
Jeongwhan Choi, Duksan Ryu KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 9, pp. 339-348,
Sep.
2021
https://doi.org/10.3745/KTSDE.2021.10.9.339
Keywords: Software Defect Prediction, Bayesian Optimization, Transfer Learning, Cross-Version Defect Prediction
https://doi.org/10.3745/KTSDE.2021.10.9.339
Keywords: Software Defect Prediction, Bayesian Optimization, Transfer Learning, Cross-Version Defect Prediction
Host-Based Intrusion Detection Model Using Few-Shot Learning
Park DaeKyeong, Shin DongIl, Shin DongKyoo, Kim Sangsoo KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 7, pp. 271-278,
Jul.
2021
https://doi.org/10.3745/KTSDE.2021.10.7.271
Keywords: Machine Learning, LID-DS, Few-Shot Learning, Siamese Network, HIDS
https://doi.org/10.3745/KTSDE.2021.10.7.271
Keywords: Machine Learning, LID-DS, Few-Shot Learning, Siamese Network, HIDS
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).
