A Practical Voting Scheme with Receipts

Lecture Notes in Computer Science - Information Security ◽

10.1007/11556992_36 ◽

2005 ◽

pp. 490-497 ◽

Cited By ~ 4

Author(s):

Marek Klonowski ◽

Mirosław Kutyłowski ◽

Anna Lauks ◽

Filip Zagórski

Keyword(s):

Voting Scheme

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Electronic voting scheme based on OT protocol

Journal of Computer Applications ◽

10.3724/sp.j.1087.2008.01335 ◽

2008 ◽

Vol 28 (5) ◽

pp. 1335-1337

Author(s):

Dong-liang GUO

Keyword(s):

Electronic Voting ◽

Voting Scheme ◽

Electronic Voting Scheme

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Implementation of an Adaptive Voting Scheme using synchronized phasor measurements

2012 Proceedings of IEEE Southeastcon ◽

10.1109/secon.2012.6196901 ◽

2012 ◽

Cited By ~ 2

Author(s):

Ryan D Quint ◽

M. Kyle Thomas

Keyword(s):

Phasor Measurements ◽

Voting Scheme

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Improving the Individual Verification of Estonian Internet Voting Scheme

2020 International Conference on Information Security and Cryptology (ISCTURKEY) ◽

10.1109/iscturkey51113.2020.9308016 ◽

2020 ◽

Author(s):

Savas Yilmaz ◽

Isa Sertkaya

Keyword(s):

Internet Voting ◽

Voting Scheme ◽

The Individual

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Next-Generation Relay Voting Scheme Design Leveraging Consensus Algorithms

2021 IEEE Power and Energy Conference at Illinois (PECI) ◽

10.1109/peci51586.2021.9435201 ◽

2021 ◽

Author(s):

Nicholas Jacobs ◽

Adam Summers ◽

Shamina Hossain-McKenzie ◽

Daniel Calzada ◽

Hanyue Li ◽

...

Keyword(s):

Next Generation ◽

Consensus Algorithms ◽

Scheme Design ◽

Voting Scheme

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Eye Gaze Tracking Based on Pattern Voting Scheme for Mobile Device

2011 First International Conference on Instrumentation, Measurement, Computer, Communication and Control ◽

10.1109/imccc.2011.91 ◽

2011 ◽

Cited By ~ 4

Author(s):

Chiao-Wen Kao ◽

Che-Wei Yang ◽

Yu-Wei Chen ◽

Kuo-Chin Fan ◽

Bor-Jiunn Hwang ◽

...

Keyword(s):

Mobile Device ◽

Eye Gaze ◽

Gaze Tracking ◽

Voting Scheme

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A Fault-Tolerant Voting Scheme for Multithreaded Environments

Parallel Computing in Electrical Engineering, International Conference on ◽

10.1109/pcee.2004.2 ◽

2005 ◽

Author(s):

B. Fechner ◽

K. Keller

Keyword(s):

Fault Tolerant ◽

Voting Scheme

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New feature selection and voting scheme to improve classification accuracy

Soft Computing ◽

10.1007/s00500-019-03757-2 ◽

2019 ◽

Vol 23 (22) ◽

pp. 12017-12030 ◽

Cited By ~ 2

Author(s):

Cheng-Jung Tsai

Keyword(s):

Feature Selection ◽

Classification Accuracy ◽

Voting Scheme ◽

New Feature

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Hough Transform Voting Scheme for Detection of Parabolas and Open Conics in Images

Advances in Intelligent Systems and Computing - ICGG 2020 - Proceedings of the 19th International Conference on Geometry and Graphics ◽

10.1007/978-3-030-63403-2_37 ◽

2020 ◽

pp. 407-418

Author(s):

Maysa Malfiza Garcia de Macedo ◽

Jordan Salas ◽

Aura Conci

Keyword(s):

Hough Transform ◽

Voting Scheme

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A NEW ENSEMBLE LEARNING ALGORITHM USING REGIONAL CLASSIFIERS

International Journal of Artificial Intelligence Tools ◽

10.1142/s0218213013500255 ◽

2013 ◽

Vol 22 (04) ◽

pp. 1350025 ◽

Cited By ~ 3

Author(s):

BYUNGWOO LEE ◽

SUNGHA CHOI ◽

BYONGHWA OH ◽

JIHOON YANG ◽

SUNGYONG PARK

Keyword(s):

Ensemble Learning ◽

Learning Algorithm ◽

Ensemble Methods ◽

Feature Space ◽

Training Data ◽

Learning Method ◽

Weighted Voting ◽

Ensemble Learning Algorithm ◽

Voting Scheme ◽

Base Learner

We present a new ensemble learning method that employs a set of regional classifiers, each of which learns to handle a subset of the training data. We split the training data and generate classifiers for different regions in the feature space. When classifying an instance, we apply a weighted voting scheme among the classifiers that include the instance in their region. We used 11 datasets to compare the performance of our new ensemble method with that of single classifiers as well as other ensemble methods such as RBE, bagging and Adaboost. As a result, we found that the performance of our method is comparable to that of Adaboost and bagging when the base learner is C4.5. In the remaining cases, our method outperformed other approaches.

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