via fatcat-pubmed
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A fuzzy rank-based ensemble of CNN models for classification of cervical cytology
Ankur Manna, Rohit Kundu, Dmitrii Kaplun, Aleksandr Sinitca, Ram Sarkar
2021
Scientific Reports
doi:10.1038/s41598-021-93783-8
pmcid:PMC8282795
pmid:34267261
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via crossref
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Possibilistic rank-level fusion method for person re-identification
Ilef Ben Slima, Sourour Ammar, Mahmoud Ghorbel
2021
Neural computing & applications (Print)
doi:10.1007/s00521-021-06502-9
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via fuzzy
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DEVELOPMENT OF NEW ELECTIVE MULTIBIOMETRIC AUTHENTICATION
A. N. Ruchay, PhD in Physics and Mathematics, Associate Professor, Head of the Department of Computer Security and Applied Algebr, Chelyabinsk State University.
2020
Journal of the Ural Federal district Information security
doi:10.14529/secur200304
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web.archive.org [PDF]
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via fuzzy
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M-ary Rank Classifier Combination: A Binary Linear Programming Problem
Vincent Vigneron, Hichem Maaref
2019
Entropy
doi:10.3390/e21050440
pmid:33267154
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web.archive.org [PDF]
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via crossref
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A novel evaluation of two related and two independent algorithms for eye movement classification during reading
Lee Friedman, Ioannis Rigas, Evgeny Abdulin, Oleg V. Komogortsev
2018
Behavior Research Methods
doi:10.3758/s13428-018-1050-7
pmid:29766396
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web.archive.org [PDF]
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via grobid
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Fusion in Multimodal Biometric System: A Review
G. Kaur, S. Bhushan, D. Singh, None, None, None
2017
Indian Journal of Science and Technology
doi:10.17485/ijst/2017/v10i28/114382
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web.archive.org [PDF]
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via grobid
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Fusion in Multimodal Biometric System: A Review
G. Kaur, S. Bhushan, D. Singh, None, None, None
2017
Indian Journal of Science and Technology
doi:10.17485/ijst/2017/v10i19/114382
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web.archive.org [PDF]
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via crossref
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A multi-biometric iris recognition system based on a deep learning approach
Alaa S. Al-Waisy, Rami Qahwaji, Stanley Ipson, Shumoos Al-Fahdawi, Tarek A. M. Nagem
2017
Pattern Analysis and Applications
doi:10.1007/s10044-017-0656-1
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web.archive.org [PDF]
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via crossref
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Performance of Multimodal Biometric System Based on Level and Method of Fusion
[chapter]
Mrunal Pathak, N. Srinivasu
2016
Advances in Computing Applications
doi:10.1007/978-981-10-2630-0_9
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via crossref
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Confidence Based Rank Level Fusion for Multimodal Biometric Systems
[chapter]
Hossein Talebi, Marina L. Gavrilova
2015
Lecture Notes in Computer Science
doi:10.1007/978-3-319-23192-1_18
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web.archive.org [PDF]
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via crossref
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QFuse: Online learning framework for adaptive biometric system
Samarth Bharadwaj, Himanshu S. Bhatt, Richa Singh, Mayank Vatsa, Afzel Noore
2015
Pattern Recognition
doi:10.1016/j.patcog.2015.05.002
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via crossref
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Fusion of finger types for fingerprint indexing using minutiae quadruplets
Ogechukwu N. Iloanusi
2014
Pattern Recognition Letters
doi:10.1016/j.patrec.2013.10.019
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via crossref
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Impact of Biometric Data Quality on Rank-Level Fusion Schemes
[chapter]
Emanuela Marasco, Ayman Abaza, Luca Lugini, Bojan Cukic
2013
Lecture Notes in Computer Science
doi:10.1007/978-3-319-03889-6_24
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via crossref
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An Experimental Comparison of Different Methods for Combining Biometric Identification Systems
[chapter]
Emanuela Marasco, Carlo Sansone
2011
Lecture Notes in Computer Science
doi:10.1007/978-3-642-24088-1_27
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web.archive.org [PDF]
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via crossref
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Rank Level Fusion
[chapter]
Multimodal Biometrics and Intelligent Image Processing for Security Systems
doi:10.4018/978-1-4666-3646-0.ch005
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via crossref
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Multimodal Biometric System and Information Fusion
[chapter]
Multimodal Biometrics and Intelligent Image Processing for Security Systems
doi:10.4018/978-1-4666-3646-0.ch004
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