Source code author identification with unsupervised feature learning

Upul Bandara; Gamini Wijayarathna

doi:10.1016/j.patrec.2012.10.027

Source code author identification with unsupervised feature learning

Pattern Recognition Letters ◽

10.1016/j.patrec.2012.10.027 ◽

2013 ◽

Vol 34 (3) ◽

pp. 330-334 ◽

Cited By ~ 9

Author(s):

Upul Bandara ◽

Gamini Wijayarathna

Keyword(s):

Source Code ◽

Feature Learning ◽

Unsupervised Feature Learning ◽

Author Identification

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ResNet Autoencoders for Unsupervised Feature Learning From High-Dimensional Data: Deep Models Resistant to Performance Degradation

IEEE Access ◽

10.1109/access.2021.3064819 ◽

2021 ◽

Vol 9 ◽

pp. 40511-40520

Author(s):

Chathurika S. Wickramasinghe ◽

Daniel L. Marino ◽

Milos Manic

Keyword(s):

High Dimensional Data ◽

Feature Learning ◽

Performance Degradation ◽

High Dimensional ◽

Unsupervised Feature Learning

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An Unsupervised Feature Learning Method for Enhancing the Generalization of Cancer Diagnosis

2021 13th International Conference on Machine Learning and Computing ◽

10.1145/3457682.3457720 ◽

2021 ◽

Author(s):

Zhen Liu ◽

Ruoyu Wang ◽

Wenbin Zhang ◽

Deyu Tang

Keyword(s):

Cancer Diagnosis ◽

Feature Learning ◽

Learning Method ◽

Unsupervised Feature Learning

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ICodeNet - A Hierarchical Neural Network Approach For Source Code Author Identification

2021 13th International Conference on Machine Learning and Computing ◽

10.1145/3457682.3457709 ◽

2021 ◽

Author(s):

Pranali Bora ◽

Tulika Awalgaonkar ◽

Himanshu Palve ◽

Raviraj Joshi ◽

Purvi Goel

Keyword(s):

Neural Network ◽

Source Code ◽

Network Approach ◽

Neural Network Approach ◽

Author Identification ◽

Hierarchical Neural Network

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Boosting Hyperspectral Image Classification With Unsupervised Feature Learning

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2021.3054037 ◽

2021 ◽

pp. 1-15

Author(s):

Wei Wei ◽

Songzheng Xu ◽

Lei Zhang ◽

Jinyang Zhang ◽

Yanning Zhang

Keyword(s):

Image Classification ◽

Hyperspectral Image ◽

Feature Learning ◽

Unsupervised Feature Learning ◽

Hyperspectral Image Classification

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Cystoscopic image classification by unsupervised feature learning and fusion of classifiers

IEEE Access ◽

10.1109/access.2021.3098510 ◽

2021 ◽

pp. 1-1

Author(s):

Seyyed Mohammad Reza Hashemi ◽

Hamid Hassanpour ◽

Ehsan Kozegar ◽

Tao Tan

Keyword(s):

Image Classification ◽

Feature Learning ◽

Unsupervised Feature Learning ◽

Fusion Of Classifiers

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Chemical named entity recognition in patents by domain knowledge and unsupervised feature learning

Database ◽

10.1093/database/baw049 ◽

2016 ◽

Vol 2016 ◽

pp. baw049 ◽

Cited By ~ 12

Author(s):

Yaoyun Zhang ◽

Jun Xu ◽

Hui Chen ◽

Jingqi Wang ◽

Yonghui Wu ◽

...

Keyword(s):

Domain Knowledge ◽

Named Entity Recognition ◽

Feature Learning ◽

Entity Recognition ◽

Unsupervised Feature Learning ◽

Named Entity ◽

Chemical Named Entity Recognition

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Unsupervised feature learning for optical character recognition

2015 13th International Conference on Document Analysis and Recognition (ICDAR) ◽

10.1109/icdar.2015.7333920 ◽

2015 ◽

Cited By ~ 3

Author(s):

Devendra K Sahu ◽

C. V. Jawahar

Keyword(s):

Character Recognition ◽

Optical Character Recognition ◽

Feature Learning ◽

Unsupervised Feature Learning ◽

Optical Character

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Identification and tracking of vertebrae in ultrasound using deep networks with unsupervised feature learning

10.1117/12.2252641 ◽

2017 ◽

Cited By ~ 1

Author(s):

Jorden Hetherington ◽

Mehran Pesteie ◽

Victoria A. Lessoway ◽

Purang Abolmaesumi ◽

Robert N. Rohling

Keyword(s):

Feature Learning ◽

Unsupervised Feature Learning ◽

Deep Networks

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Multi-modal Unsupervised Feature Learning for RGB-D Scene Labeling

Computer Vision – ECCV 2014 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-10602-1_30 ◽

2014 ◽

pp. 453-467 ◽

Cited By ~ 20

Author(s):

Anran Wang ◽

Jiwen Lu ◽

Gang Wang ◽

Jianfei Cai ◽

Tat-Jen Cham

Keyword(s):

Feature Learning ◽

Unsupervised Feature Learning ◽

Scene Labeling

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STDP-based Unsupervised Feature Learning using Convolution-over-time in Spiking Neural Networks for Energy-Efficient Neuromorphic Computing

ACM Journal on Emerging Technologies in Computing Systems ◽

10.1145/3266229 ◽

2018 ◽

Vol 14 (4) ◽

pp. 1-12 ◽

Cited By ~ 7

Author(s):

Gopalakrishnan Srinivasan ◽

Priyadarshini Panda ◽

Kaushik Roy

Keyword(s):

Neural Networks ◽

Energy Efficient ◽

Feature Learning ◽

Spiking Neural Networks ◽

Unsupervised Feature Learning ◽

Neuromorphic Computing ◽

Over Time

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