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On-Line Signature Partitioning Using a Population Based Algorithm

Marcin Zalasiński, Krystian Łapa, Krzysztof Cpałka, Krzysztof Przybyszewski, Gary G. Yen
2020 Journal of Artificial Intelligence and Soft Computing Research  
However, population-based algorithms (PBAs) can prove very useful when resolving these problems.  ...  Hence, we propose a new method for on-line signature partitioning using a PBA in order to improve the verification process effectiveness.  ...  Conclusions In this paper, we proposed a new method for the on-line signature verification. It uses possibilities offered by population-based algorithms.  ... 
doi:10.2478/jaiscr-2020-0001 fatcat:foc6zfwtzffzha33ydtukzw524

An Algorithm for the Evolutionary-Fuzzy Generation of on-Line Signature Hybrid Descriptors

Marcin Zalasiński, Krzysztof Cpałka, Łukasz Laskowski, Donald C. Wunsch, Krzysztof Przybyszewski
2020 Journal of Artificial Intelligence and Soft Computing Research  
In this paper, we propose a new partitioning algorithm that uses capabilities of the algorithms based on populations and fuzzy systems.  ...  The precision of the on-line signature dynamics processing has been a motivational springboard for developing methods that use signature partitioning.  ...  In this work, we propose a new partitioning algorithm that uses the capabilities of fuzzy systems [3] and population-based algorithms [28] .  ... 
doi:10.2478/jaiscr-2020-0012 fatcat:47xo3czn35h55bb5vc6ayx5azy

An On-Line Reactor Surveillance Algorithm Based on Multivariate Analysis of Noise

K. R. Piety, J. C. Robinson
1976 Nuclear science and engineering  
The statistical description of a data class, w., is based upon the mean vector, v^, and a covariance matrix, C fc , calculated from a population sample.  ...  based surveillance algorithm for monitoring signals from nuclear power plants to provide advanced warning of anomalous conditions has been developed and implemented for on-line applications.  ... 
doi:10.13182/nse76-a26838 fatcat:ebm76g67nnaddglssjqtdkxmoe

TrackSigFreq: subclonal reconstructions based on mutation signatures and allele frequencies

Caitlin F Harrigan, Yulia Rubanova, Quaid Morris, Alina Selega
2020 Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing  
Here we present an extension of this method, TrackSigFreq, which enables trajectory reconstruction based on both observed density of mutation frequencies and changes in mutational signature activities.  ...  Mutational signatures are patterns of mutation types, many of which are linked to known mutagenic processes. Signature activity represents the proportion of mutations a signature generates.  ...  This research was supported by a subgrant from a Genome Canada award to C3G through Genome Quebec.  ... 
pmid:31797600 pmcid:PMC6905203 fatcat:657o2yjelbdt5f44wmr5hwdacu

Local sparse bump hunting reveals molecular heterogeneity of colon tumors

Jean-Eudes Dazard, J. Sunil Rao, Sanford Markowitz
2011 Statistics in Medicine  
In addition, thanks to the variable selection feature of the algorithm, we derived a novel sparse gene expression signature, which appears to divide all colon cancer patients into two populations: a population  ...  This involves use of the local sparse bump hunting algorithm, which provides a much more optimal and biologically faithful transformed space within which to search for bumps.  ...  For later use, let us denote by the partition of the input variable space S, generated by a CART partition algorithm, such that and ∩ r i ≠r j P r = ∅.  ... 
doi:10.1002/sim.4389 pmid:22052459 pmcid:PMC3668571 fatcat:zdrey3kpuba57l56633uala4la

Secure and Robust IPV6 Autoconfiguration Protocol For Mobile Adhoc Networks Under Strong Adversarial Model [article]

Zohra Slimane, Abdelhafid Abdelmalek, Mohamed Feham, Abdelmalik Taleb-Ahmed
2011 arXiv   pre-print
Our solution is based on mutual authentication, and a fully distributed Autoconfiguration and CA model, in conjunction with threshold cryptography.  ...  However, research primarily focused on correctness, efficiency and scalability; much less attention has been given to the security issues.  ...  We assume a revocation scheme implemented within the MANET based on 'accusation' using threshold signatures [16] .  ... 
arXiv:1108.1334v1 fatcat:bqb6oyauz5cqvdk2bm7sbet5ua

A population-based gene signature is predictive of breast cancer survival and chemoresponse

Shruti Rathnagiriswaran, Ying-Wooi Wan, Jame Abraham, Vincent Castranova, Yong Qian, Nancy L Guo
2010 International Journal of Oncology  
This study sought to develop a prognostic scheme based on a 28-gene signature in a broad patient population, including those with advanced disease.  ...  The mRNA expression levels of this gene signature in NCI-60 cell lines were used to predict chemoresponse to CMF, tamoxifen, paclitaxel, docetaxel, and doxorubicin (adriamycin).  ...  A population-based prognostic gene signature is needed for devising more rational treatment options in breast cancer treatment.  ... 
pmid:20126981 pmcid:PMC3103999 fatcat:qno6k3y3mjherfxwtjkzp72mja

A New Query Integrity Verification Method with Cluster-based Data Transformation in Cloud Computing Environment

Miyoung Jang, Min Yoon, Jae-Woo Chang
2015 International Journal of Smart Home  
To solve the original data leakage problem, our clustering-based data transformation scheme is designed to select anchors based on data distribution.  ...  A user compares the verification information with the cluster signatures stored in the verification index.  ...  This is because our algorithm generates data groups based on the efficient data partition policy, such as anchor selection with data distribution, whereas the existing scheme clusters th em solely based  ... 
doi:10.14257/ijsh.2015.9.4.23 fatcat:dnbc2bdv6febvaa6v3tbl7ymq4

A population-based gene signature is predictive of breast cancer survival and chemoresponse

2010 International Journal of Oncology  
This study sought to develop a prognostic scheme based on a 28-gene signature in a broad patient population, including those with advanced disease.  ...  The mRNA expression levels of this gene signature in NCI-60 cell lines were used to predict chemoresponse to CMF, tamoxifen, paclitaxel, docetaxel, and doxorubicin (adriamycin).  ...  A population-INTERNATIONAL JOURNAL OF ONCOLOGY 36: 607-616, 2010 A population-based gene signature is predictive of breast cancer survival and chemoresponse SHRUTI RATHNAGIRISWARAN 1 , YING-WOOI WAN  ... 
doi:10.3892/ijo_00000536 fatcat:oyyzdnemrzdnhcyo6iwxkwoh5e

Customer Segmentation Based on the Electricity Demand Signature: The Andalusian Case

Andrés Camero, Gabriel Luque, Yesnier Bravo, Enrique Alba
2018 Energies  
Therefore, in this study we introduce the electricity demand signature, a novel approach to characterize and cluster electricity customers based on their demand habits.  ...  The results show that our proposal is useful for clustering customers in a meaningful way, and that it is an easy and friendly representation of the behavior of a customer that can be used for further  ...  in Equation (1) (line 5 in the Algorithm 1).  ... 
doi:10.3390/en11071788 fatcat:yij7vnilqvczjm2e7uerlbo54y

Analyzing the composition of cities using spatial clustering

Zechun Cao, Sujing Wang, Germain Forestier, Anne Puissant, Christoph F. Eick
2013 Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing - UrbComp '13  
We formally define the task of finding uniform regions in spatial data as a maximization problem of a plug-in measure of uniformity and introduce a prototype-based clustering algorithm named CLEVER to  ...  Furthermore, algorithms for identifying popular distribution signatures and approaches for identifying regions which express a particular distribution signature will be presented.  ...  Partitioning a city into uniform regions facilitates this task, as change can be analyzed based on higher level of granularity instead on the raw data.  ... 
doi:10.1145/2505821.2505827 dblp:conf/kdd/CaoWFPE13 fatcat:zr2zrbkcerbufpunnjsnjm3q4e

A Flexible Pattern-Matching Algorithm for Network Intrusion Detection Systems Using Multi-Core Processors

2017 Algorithms  
The AC-DFA is partitioned into a head and a body. In the HBM algorithm, the AC-DFA is partitioned according to a pre-defined depth value that exerts a significant impact on throughput [27] .  ...  Whereas the head-body matching (HBM) algorithm is based on pre-defined DFA depth value, our HBFA algorithm is based on head size.  ...  The focus of this study is also on signature-based NIDSs.  ... 
doi:10.3390/a10020058 fatcat:f63yugzwu5a5pdrixejrx5te3u

Active Feature Selection Using Classes [chapter]

Huan Liu, Lei Yu, Manoranjan Dash, Hiroshi Motoda
2003 Lecture Notes in Computer Science  
The results will help us deal with large data sets and provide ideas to scale up other feature selection algorithms.  ...  This work investigates the applicability of active sampling in feature selection in a filter model setting.  ...  This work is in part based on the project supported by National Science Foundation under Grant No. IIS-0127815 for H. Liu.  ... 
doi:10.1007/3-540-36175-8_48 fatcat:rbpyxyskhvfvjkjnmgrgtxplyy

Pathway-based Analysis of the Hidden Genetic Heterogeneities in Cancers

Xiaolei Zhao, Shouqiang Zhong, Xiaoyu Zuo, Meihua Lin, Jiheng Qin, Yizhao Luan, Naizun Zhang, Yan Liang, Shaoqi Rao
2014 Genomics, Proteomics & Bioinformatics  
First, we used a NCI60 dataset to validate the ability of pathways to correctly partition samples.  ...  Nevertheless, it remains unclear whether such function-based approaches are useful in deciphering molecular heterogeneities in cancers.  ...  Clustering based on multiple pathways The utility of partition for a single pathway might be limited, wherein some samples could have been misclassified through the use of information from only one or  ... 
doi:10.1016/j.gpb.2013.12.001 pmid:24462714 pmcid:PMC4411334 fatcat:u72zjttcvvg57fe52zl5ehib44

Multi-resolution characterization of molecular taxonomies in bulk and single-cell transcriptomics data

Eric R Reed, Stefano Monti
2021 Nucleic Acids Research  
Here, we present K2Taxonomer, a novel unsupervised recursive partitioning algorithm and associated R package that utilize ensemble learning to identify robust subgroups in a 'taxonomy-like' structure.  ...  We conclude with a practical application on breast cancer tumor infiltrating lymphocyte (TIL) single-cell profiles, in which we identified co-expression of translational machinery genes as a dominant transcriptional  ...  We would like to thank Bob Varelas and Gerald Denis for useful feedback on the Breast Cancer TIL case study.  ... 
doi:10.1093/nar/gkab552 pmid:34226941 pmcid:PMC8464061 fatcat:dplh7sfayravpplo4oojk44ofm
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