Mobile User Identification across Domains Based on the Stacking Method in Ensemble Learning

2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS) ◽

10.1109/icccs52626.2021.9449279 ◽

2021 ◽

Author(s):

Xingyu Chen ◽

Ning Liu ◽

Jing Liu ◽

Yue Wang

Keyword(s):

Ensemble Learning ◽

Mobile User ◽

User Identification

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B-Face: 0.2 MW CNN-Based Face Recognition Processor with Face Alignment for Mobile User Identification

2018 IEEE Symposium on VLSI Circuits ◽

10.1109/vlsic.2018.8502266 ◽

2018 ◽

Author(s):

Sanghoon Kang ◽

Jinmook Lee ◽

Changhyeon Kim ◽

Hoi-Jun Yoo

Keyword(s):

Face Recognition ◽

Mobile User ◽

Face Alignment ◽

User Identification

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Mobile user identification through authentication using keystroke dynamics and accelerometer biometrics

Proceedings of the International Workshop on Mobile Software Engineering and Systems - MOBILESoft '16 ◽

10.1145/2897073.2897111 ◽

2016 ◽

Author(s):

Kyle R. Corpus ◽

Ralph Joseph DL. Gonzales ◽

Alvin Scott Morada ◽

Larry A. Vea

Keyword(s):

Mobile User ◽

Keystroke Dynamics ◽

User Identification

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EchoLock: Towards Low-effort Mobile User Identification Leveraging Structure-borne Echos

Proceedings of the 15th ACM Asia Conference on Computer and Communications Security ◽

10.1145/3320269.3384741 ◽

2020 ◽

Author(s):

Yilin Yang ◽

Yan Wang ◽

Yingying Chen ◽

Chen Wang

Keyword(s):

Mobile User ◽

User Identification

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Mobile User Identification by Camera-Based Motion Capture and Mobile Device Acceleration Sensors

Proceedings of the 13th Workshop on Challenged Networks - CHANTS '18 ◽

10.1145/3264844.3264846 ◽

2018 ◽

Author(s):

Ryota Kosono ◽

Takayuki Nishio ◽

Masahiro Morikura ◽

Koji Yamamoto ◽

Yuichi Maki ◽

...

Keyword(s):

Motion Capture ◽

Mobile Device ◽

Mobile User ◽

User Identification ◽

Acceleration Sensors

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Sequential Keystroke Behavioral Biometrics for Mobile User Identification via Multi-view Deep Learning

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-319-71273-4_19 ◽

2017 ◽

pp. 228-240 ◽

Author(s):

Lichao Sun ◽

Yuqi Wang ◽

Bokai Cao ◽

Philip S. Yu ◽

Witawas Srisa-an ◽

...

Keyword(s):

Deep Learning ◽

Mobile User ◽

User Identification ◽

Behavioral Biometrics

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Review for "Prediction of the reflection intensity of natural hydroxyapatite using generalized linear model and ensemble learning methods"

10.1002/eng2.12292/v1/review4 ◽

2020 ◽

Keyword(s):

Linear Model ◽

Ensemble Learning ◽

Generalized Linear Model ◽

Learning Methods ◽

Natural Hydroxyapatite ◽

Reflection Intensity

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Author response for "Prediction of the reflection intensity of natural hydroxyapatite using generalized linear model and ensemble learning methods"

10.1002/eng2.12292/v3/response1 ◽

2020 ◽

Author(s):

Emmanuel Okafor ◽

David O. Obada ◽

Yusuf Ibrahim ◽

David Dodoo‐Arhin

Keyword(s):

Linear Model ◽

Ensemble Learning ◽

Generalized Linear Model ◽

Author Response ◽

Learning Methods ◽

Natural Hydroxyapatite ◽

Reflection Intensity

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A Two-Stage Approach for Flight Departure Delay Forecasting Using Ensemble Learning

10.1061/9780784483053.018 ◽

2020 ◽

Author(s):

Feng Guan ◽

Mengyan Hao ◽

Zhen Guo

Keyword(s):

Ensemble Learning ◽

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Short-Term Traffic Flow Prediction Based on Multi-Model by Stacking Ensemble Learning

10.1061/9780784483053.008 ◽

2020 ◽

Author(s):

Yong Chen

Keyword(s):

Traffic Flow ◽

Ensemble Learning ◽

Traffic Flow Prediction ◽

Flow Prediction

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Software Defect Prediction Incremental Model using Ensemble Learning

International Journal of Performability Engineering ◽

10.23940/ijpe.20.11.p9.17711780 ◽

2020 ◽

Vol 16 (11) ◽

pp. 1771

Author(s):

Wang Shibo ◽

Li Yong ◽

Mi Wenbo ◽

Liu Ying

Keyword(s):

Ensemble Learning ◽

Defect Prediction ◽

Software Defect Prediction ◽

Incremental Model ◽

Software Defect

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