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Augmented Neural Networks for Modelling Consumer Indebtness [article]

Alexandros Ladas, Jonathan M. Garibaldi, Rodrigo Scarpel, Uwe Aickelin
<span title="2014-09-03">2014</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In addition to this, most of the research has been conducted on a limited Alexandros number of observations making hard to consider the findings as representative.  ...  THE FIRST ONE REPRESENTS THE NUMBER OF FACTORS AND THE SECOND ONE THE NUMBER OF CLASSES OF DEBTORS Ladas, Jon Garibaldi, Rodrigo Scarpel and Uwe Aickelin are with the School of Computer Science, University  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1409.1057v1">arXiv:1409.1057v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wc76n47npbekfjsbwbsed2xd6m">fatcat:wc76n47npbekfjsbwbsed2xd6m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200910201231/https://arxiv.org/pdf/1409.1057v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3c/54/3c544809682a20ae60a289b2defbb042d120fb10.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1409.1057v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Indebted households profiling: a knowledge discovery from database approach [article]

Rodrigo Scarpel, Alexandros Ladas, Uwe Aickelin
<span title="2016-07-20">2016</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
A major challenge in consumer credit risk portfolio management is to classify households according to their risk profile. In order to build such risk profiles it is necessary to employ an approach that analyses data systematically in order to detect important relationships, interactions, dependencies and associations amongst the available continuous and categorical variables altogether and accurately generate profiles of most interesting household segments according to their credit risk. The
more &raquo; ... ective of this work is to employ a knowledge discovery from database process to identify groups of indebted households and describe their profiles using a database collected by the Consumer Credit Counselling Service (CCCS) in the UK. Employing a framework that allows the usage of both categorical and continuous data altogether to find hidden structures in unlabelled data it was established the ideal number of clusters and such clusters were described in order to identify the households who exhibit a high propensity of excessive debt levels.
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1607.05869v1">arXiv:1607.05869v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ktc6tpbcrzdc7ibkhaosp3bnba">fatcat:ktc6tpbcrzdc7ibkhaosp3bnba</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200728192930/https://arxiv.org/ftp/arxiv/papers/1607/1607.05869.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a3/85/a3855c34088bb0a31342a8fabd6619fa3ada5b0d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1607.05869v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Using Clustering to extract Personality Information from socio economic data [article]

Alexandros Ladas, Uwe Aickelin, Jon Garibaldi, Eamonn Ferguson
<span title="2013-07-08">2013</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
It has become apparent that models that have been applied widely in economics, including Machine Learning techniques and Data Mining methods, should take into consideration principles that derive from the theories of Personality Psychology in order to discover more comprehensive knowledge regarding complicated economic behaviours. In this work, we present a method to extract Behavioural Groups by using simple clustering techniques that can potentially reveal aspects of the Personalities for
more &raquo; ... r members. We believe that this is very important because the psychological information regarding the Personalities of individuals is limited in real world applications and because it can become a useful tool in improving the traditional models of Knowledge Economy.
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1307.1998v1">arXiv:1307.1998v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hbtru3uyurf7vdkehnho4vdh74">fatcat:hbtru3uyurf7vdkehnho4vdh74</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191023023950/https://arxiv.org/pdf/1307.1998v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/09/73/0973c6374ecb000844d10f642f585c0e575b5a0b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1307.1998v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

A Data Mining framework to model Consumer Indebtedness with Psychological Factors [article]

Alexandros Ladas, Eamonn Ferguson, Uwe Aickelin, Jon Garibaldi
<span title="2015-02-20">2015</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Modelling Consumer Indebtedness has proven to be a problem of complex nature. In this work we utilise Data Mining techniques and methods to explore the multifaceted aspect of Consumer Indebtedness by examining the contribution of Psychological Factors, like Impulsivity to the analysis of Consumer Debt. Our results confirm the beneficial impact of Psychological Factors in modelling Consumer Indebtedness and suggest a new approach in analysing Consumer Debt, that would take into consideration
more &raquo; ... Psychological characteristics of consumers and adopt techniques and practices from Data Mining.
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1502.05911v1">arXiv:1502.05911v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7wbvchhtyje7ffrkn4jprtxphq">fatcat:7wbvchhtyje7ffrkn4jprtxphq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200827181427/https://arxiv.org/pdf/1502.05911v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ee/5f/ee5fa7498a9fb87981e85f3d32831818b01d9d63.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1502.05911v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Augmented Neural Networks for Modelling Consumer Indebtness

Alexandros Ladas, Jonathan M. Garibaldi, Rodrigo Arnaldo Scarpel, Uwe Aickelin
<span title="">2014</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tol7woxlqjeg5bmzadeg6qrg3e" style="color: black;">Social Science Research Network</a> </i> &nbsp;
Augmented Neural Networks for Modelling Consumer Indebtness Alexandros Ladas, Jon Garibaldi, Rodrigo Scarpel and Uwe Aickelin Abstract-Consumer Debt has risen to be an important problem of modern societies  ...  In addition to this, most of the research has been conducted on a limited Alexandros number of observations making hard to consider the findings as representative.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2139/ssrn.2828081">doi:10.2139/ssrn.2828081</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qkno4bnmevfp5jkqyhxgsxjpqe">fatcat:qkno4bnmevfp5jkqyhxgsxjpqe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170921192507/http://eprints.nottingham.ac.uk/3350/1/Augmented-Neural-Networks-for-Modelling-Consumer-Indebtness.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e3/8e/e38e278bf6da85d4d73d1221523d91e21752de81.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2139/ssrn.2828081"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ssrn.com </button> </a>

Indebted Households Profiling: A Knowledge Discovery from Database Approach

Rodrigo Arnaldo Scarpel, Alexandros Ladas, Uwe Aickelin
<span title="">2015</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tol7woxlqjeg5bmzadeg6qrg3e" style="color: black;">Social Science Research Network</a> </i> &nbsp;
A major challenge in consumer credit risk portfolio management is to classify households according to their risk profile. In order to build such risk profiles it is necessary to employ an approach that analyses data systematically in order to detect important relationships, interactions, dependencies and associations amongst the available continuous and categorical variables altogether and accurately generate profiles of most interesting household segments according to their credit risk. The
more &raquo; ... ective of this work is to employ a knowledge discovery from database process to identify groups of indebted households and describe their profiles using a database collected by the Consumer Credit Counselling Service (CCCS) in the UK. Employing a framework that allows the usage of both categorical and continuous data altogether to find hidden structures in unlabelled data it was established the ideal number of clusters and such clusters were described in order to identify the households who exhibit a high propensity of excessive debt levels.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2139/ssrn.2823245">doi:10.2139/ssrn.2823245</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6m4g4dlvnfacpjv2oa3flrl7ga">fatcat:6m4g4dlvnfacpjv2oa3flrl7ga</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180722141423/http://eprints.nottingham.ac.uk/30448/1/Manuscript.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5c/07/5c07516222a11ea959e802e727eea0718d1c4636.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2139/ssrn.2823245"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ssrn.com </button> </a>

Vision loss after accidental methanol intoxication: a case report

Marilita M Moschos, Nikolaos S Gouliopoulos, Alexandros Rouvas, Ioannis Ladas
<span title="2013-11-20">2013</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gl3hmlq4ebd3jcx3yuj2yfzivq" style="color: black;">BMC Research Notes</a> </i> &nbsp;
Methanol intoxication is a dangerous situation because it often results in permanent problems such as visual deterioration, metabolic disturbances, neurological dysfunction, and even death. We present, to the best of our knowledge, the first case of irreversible bilateral blindness due to methanol intoxication caused by accidental ingestion of rubbing liquid. A 49-year-old Greek man developed bilateral irreversible blindness after accidental methanol intoxication. He underwent complete
more &raquo; ... logical examination, including electroretinogram, visual evoked potentials, multifocal-visual evoked potentials, and optical coherence tomography scan of the optic nerve. Complete laboratory evaluation, urine drug testing, neurological examination, and computed tomography scans were also performed. Visual acuity demonstrated no light perception bilaterally, pupils were semi-dilated and unreactive to light, while the retina was normal in both eyes. Electroretinogram was normal, while visual evoked potentials, multifocal-visual evoked potentials recording, and optical coherence tomography scanning of both optic nerve heads were pathological in both eyes. The neurological examination and the computed tomography scans did not reveal any abnormalities. The laboratory evaluation was normal and the urine drug test was negative for benzodiazepines, opiates, cocaine, amphetamines, salicylates, barbiturates, and phencyclidine. This is the first case report of methanol intoxication which documents both anatomical and functional abnormalities by means of optical coherence tomography and electrophysiological tests correspondingly. The ocular findings and the reported electrophysiological changes support the hypothesis that methanol affects photoreceptors, Müller cells, and the retrolaminar portion of the optic nerve.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/1756-0500-6-479">doi:10.1186/1756-0500-6-479</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/24256873">pmid:24256873</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4222078/">pmcid:PMC4222078</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/d65rdywghbeqdkcqbezuhc6hpi">fatcat:d65rdywghbeqdkcqbezuhc6hpi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170820085402/https://bmcresnotes.biomedcentral.com/track/pdf/10.1186/1756-0500-6-479?site=bmcresnotes.biomedcentral.com" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/30/65/306586c3119779f5e3d1a82e147500ee1fce7fc0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/1756-0500-6-479"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4222078" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Using Clustering to Extract Personality Information from Socio Economic Data

Alexandros Ladas, Uwe Aickelin, Jonathan M. Garibaldi, Eamonn Ferguson
<span title="">2012</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tol7woxlqjeg5bmzadeg6qrg3e" style="color: black;">Social Science Research Network</a> </i> &nbsp;
It has become apparent that models that have been applied widely in economics, including Machine Learning techniques and Data Mining methods, should take into consideration principles that derive from the theories of Personality Psychology in order to discover more comprehensive knowledge regarding complicated economic behaviours. In this work, we present a method to extract Behavioural Groups by using simple clustering techniques that can potentially reveal aspects of the Personalities for
more &raquo; ... r members. We believe that this is very important because the psychological information regarding the Personalities of individuals is limited in real world applications and because it can become a useful tool in improving the traditional models of Knowledge Economy.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2139/ssrn.2829227">doi:10.2139/ssrn.2829227</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/plg533uvhrgnhmp5wlnfp4mvxu">fatcat:plg533uvhrgnhmp5wlnfp4mvxu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180722061441/http://eprints.nottingham.ac.uk/2075/1/Using_Clustering_to_extract_Personality_Information_from_socio_economic_data.UKCI_2012.2012.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fd/1d/fd1d2794b7b5adcca98aac03c3f821cc1937b371.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2139/ssrn.2829227"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ssrn.com </button> </a>

Indebted Households Profiling: A Knowledge Discovery from Database Approach

Rodrigo Arnaldo Scarpel, Alexandros Ladas, Uwe Aickelin
<span title="">2015</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/l3ypgeawxrc6xce2c3uboif52a" style="color: black;">Annals of Data Science</a> </i> &nbsp;
A major challenge in consumer credit risk portfolio management is to classify households according to their risk profile. In order to build such risk profiles it is necessary to employ an approach that analyses data systematically in order to detect important relationships, interactions, dependencies and associations amongst the available continuous and categorical variables altogether and accurately generate profiles of most interesting household segments according to their credit risk. The
more &raquo; ... ective of this work is to employ a knowledge discovery from database process to identify groups of indebted households and describe their profiles using a database collected by the Consumer Credit Counselling Service (CCCS) in the UK. Employing a framework that allows the usage of both categorical and continuous data altogether to find hidden structures in unlabelled data it was established the ideal number of clusters and such clusters were described in order to identify the households who exhibit a high propensity of excessive debt levels.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s40745-015-0031-2">doi:10.1007/s40745-015-0031-2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ycfkf2b5ibffxkijtxjcqg7wma">fatcat:ycfkf2b5ibffxkijtxjcqg7wma</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190502174652/https://link.springer.com/content/pdf/10.1007%2Fs40745-015-0031-2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/68/d2/68d244771c77d89829ea93d20fddfd2e48964679.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s40745-015-0031-2"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

A Data Mining Framework to Model Consumer Indebtedness with Psychological Factors

Alexandros Ladas, Eamonn Ferguson, Uwe Aickelin, Jonathan M. Garibaldi
<span title="">2014</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tol7woxlqjeg5bmzadeg6qrg3e" style="color: black;">Social Science Research Network</a> </i> &nbsp;
Modelling Consumer Indebtedness has proven to be a problem of complex nature. In this work we utilise Data Mining techniques and methods to explore the multifaceted aspect of Consumer Indebtedness by examining the contribution of Psychological Factors, like Impulsivity to the analysis of Consumer Debt. Our results confirm the beneficial impact of Psychological Factors in modelling Consumer Indebtedness and suggest a new approach in analysing Consumer Debt, that would take into consideration
more &raquo; ... Psychological characteristics of consumers and adopt techniques and practices from Data Mining.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2139/ssrn.2828030">doi:10.2139/ssrn.2828030</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/74yuqso2l5covfy6hdqtgqr5jq">fatcat:74yuqso2l5covfy6hdqtgqr5jq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170810193241/http://ima.ac.uk/wp-content/uploads/2015/01/A-Data-Mining-framework-to-model-Consumer-Indebtedness-with-Psychological-Factors.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/af/92/af9251182d1c17a4c32d64658189ac94e85acabc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2139/ssrn.2828030"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ssrn.com </button> </a>

Biomarker Clustering of Colorectal Cancer Data to Complement Clinical Classification

Chris Roadknight, Uwe Aickelin, Alexandros Ladas, Daniele Soria, John Scholefield, Lindy Durrant
<span title="">2012</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tol7woxlqjeg5bmzadeg6qrg3e" style="color: black;">Social Science Research Network</a> </i> &nbsp;
C Biomarker Clustering of Colorectal Cancer Data to Complement Clinical ClassificationChris Roadknight a , Uwe Aickelin a , Alex Ladas a , Daniele Soria a , J Scholefield b and Lindy Durrant b a.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2139/ssrn.2828496">doi:10.2139/ssrn.2828496</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xeh2j2ycoza2jcchzrivxlkhwa">fatcat:xeh2j2ycoza2jcchzrivxlkhwa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180722234251/http://eprints.nottingham.ac.uk/2035/1/Biomarker_Clustering_of_Colorectal_Cancer_Data_to_complement_clinical_classification.FedCSIS.2012.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/dc/05/dc05233a0a4716f24d3e2c93fd5dee4ae33653ea.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2139/ssrn.2828496"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ssrn.com </button> </a>

Multipath routing approach to enhance resiliency and scalability in ad-hoc networks

Alexandros Ladas, Nikolaos Pavlatos, Nuwan Weerasinghe, Christos Politis
<span title="">2016</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jtcdcetsmvdmjcshq24lhzakwu" style="color: black;">2016 IEEE International Conference on Communications (ICC)</a> </i> &nbsp;
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icc.2016.7511315">doi:10.1109/icc.2016.7511315</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icc/LadasPWP16.html">dblp:conf/icc/LadasPWP16</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/alsx7pibr5d4tknz474565zwmm">fatcat:alsx7pibr5d4tknz474565zwmm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180719150933/http://eprints.kingston.ac.uk/36406/1/Ladas-A-36406-AAM.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e7/0f/e70f4f2563061c8d0607d2f64fde4e15edee14f2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icc.2016.7511315"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Robust Device-to-Device 5G Cellular Communication in the Post-Disaster Scenario

Deepak G. C., Alexandros Ladas, Christos Politis
<span title="">2019</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/iziq5tdnabbczezynz7xdk7uma" style="color: black;">2019 16th IEEE Annual Consumer Communications &amp; Networking Conference (CCNC)</a> </i> &nbsp;
The wireless communication is an integral part of the society, however, wireless network infrastructure may not fully function during post-disaster wireless network scenario in which we need wireless services even more than normal circumstances. In such post-disaster scenarios, the base stations (BS) could possibly be dysfunctional or overloaded by an excessive number of user calls or data, whereas user terminals are likely to be partially connected to or fully isolated from the BS radio
more &raquo; ... . In this paper, we study the network behavior during the post-disaster when BSs undergo the thinning process due to the damage to the network infrastructure. During network recovery phase, we also study the network performance when new temporary BSs are distributed which will bring the network into BS superposition phase. Furthermore, Device-to-Device (D2D) assisted cellular communication helps to increase the link level network connectivity which is highly appreciated during postdisaster network scenario because the network coverage is more desirable than the network throughout in such cases. We also present the analytical study of D2D and cellular communication and show that it will effectively increase the network coverage which may ultimately save many lives during the golden hours of post-disaster phase. Index Terms-D2D communication, Poisson point process, public safety communication, network coverage, base stations thinning
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/ccnc.2019.8651832">doi:10.1109/ccnc.2019.8651832</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/ccnc/CLP19.html">dblp:conf/ccnc/CLP19</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/efqmw236anclfltmfccd6x5pu4">fatcat:efqmw236anclfltmfccd6x5pu4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201104001836/https://eprints.kingston.ac.uk/id/eprint/42750/1/G-C-Deepak-42750-AAM.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/90/7b/907b06cf69e868c197800adaab3ce32c3f8a0fd4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/ccnc.2019.8651832"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Photodynamic therapy of choroidal neovascularization with enlargement of the spot size to include the feeding complex

Ilias Georgalas, Alexandros A Rouvas, Dimitrios A Karagiannis, Athanasios I Kotsolis, Ioannis D Ladas
<span title="2009-06-02">2009</span> <i title="Dove Medical Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kfvcq6rwnnaphiolds76t5szvu" style="color: black;">Clinical Ophthalmology</a> </i> &nbsp;
This is a case report of a 83-year-old man with choroidal neovascularization (CNV), due to age-related macular degeneration (AMD) in his right eye. Digital fluorescein (FA) and indocyanine green angiography (ICG) were performed, which disclosed predominantly classic subfoveal CNV and a dilated and tortuous feeding complex. The visual acuity was 20/800. Anti-vascular endothelial growth factor (anti-VEGF) treatment was suggested, however, the patient was not keen to receive an intraocular
more &raquo; ... n. Modified photodynamic therapy (PDT) with spot size enlarged, to include not only the CNV lesion but the feeding complex as well, was performed. Ten days after one session of PDT, ICG showed absence of leakage from the CNV and complete occlusion of the feeding complex. The visual acuity gradually improved to 20/100 and remained stable during the following 23 months. No evidence of CNV leakage was seen in the FA and ICG during the follow up period. Adjustment of the PDT spot size to include the detectable by ICG feeding complex might be an additional option in order to close the subfoveal CNV and might be considered as an alternative to intravitreal injection of anti-VEGF in selected cases where anti-VEGF treatment is not available.
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/19668539">pmid:19668539</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC2709005/">pmcid:PMC2709005</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/miouxpqsqrdr3ovzg77znxrjia">fatcat:miouxpqsqrdr3ovzg77znxrjia</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200211024834/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC2709005&amp;blobtype=pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c2/7e/c27e121034150f764c122a7b3021a31e57da489d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2709005" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Clinical remission off medication in greek adults with juvenile idiopathic arthritis during a 17 year follow-up period

Despoina Dimopoulou, Maria Trachana, Polyxeni Pratsidou-Gertsi, Prodromos Sidiropoulos, Athina Theodoridou, Foteini Lada, Alexandros Garyphallos
<span title="">2014</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ezlmaqqnjnbk3lv2knegbmp2z4" style="color: black;">Pediatric Rheumatology Online Journal</a> </i> &nbsp;
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/1546-0096-12-s1-p152">doi:10.1186/1546-0096-12-s1-p152</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4191057/">pmcid:PMC4191057</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nbt77zei4rf6fmkenepifcv6ea">fatcat:nbt77zei4rf6fmkenepifcv6ea</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171013190405/http://publisher-connector.core.ac.uk/resourcesync/data/Springer-OA/pdf/662/aHR0cDovL2xpbmsuc3ByaW5nZXIuY29tLzEwLjExODYvMTU0Ni0wMDk2LTEyLVMxLVAxNTIucGRm.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/25/50/2550947218fddabf303f32f776de0751750e4bce.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/1546-0096-12-s1-p152"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4191057" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>
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