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Institution

Wrocław University of Technology

EducationWrocław, Poland
About: Wrocław University of Technology is a education organization based out in Wrocław, Poland. It is known for research contribution in the topics: Laser & Computer science. The organization has 13115 authors who have published 31279 publications receiving 338694 citations.


Papers
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Journal ArticleDOI
TL;DR: The AdROSA system for automatic web banner personalization, which integrates web usage and content mining techniques to reduce user input and to respect users' privacy, is presented in the paper.

190 citations

Journal ArticleDOI
TL;DR: The Cartesian product, composition, union and join is defined on interval-valued fuzzy graphs and some properties of self-complementary and self-weak complementary interval- valued fuzzy complete graphs are presented.
Abstract: We define the Cartesian product, composition, union and join on interval-valued fuzzy graphs and investigate some of their properties. We also introduce the notion of interval-valued fuzzy complete graphs and present some properties of self-complementary and self-weak complementary interval-valued fuzzy complete graphs.

190 citations

Journal ArticleDOI
TL;DR: In the paper, an attention is focussed on the computational complexity aspects, polynomial algorithms and the worst-case analysis of approximation algorithms.

189 citations

Journal ArticleDOI
TL;DR: In this paper, the co-coordination and the supramolecular networks in diphosphonic acid complexes are discussed, and the role of the hydrogen bonds for the metal complexation in solution is also revealed.

189 citations

Journal ArticleDOI
01 Jun 2004-Genetics
TL;DR: This work investigates the behavior of the Schwarz Bayesian information criterion (BIC) by explaining the phenomenon of the overestimation and proposing a novel modification of BIC that allows the detection of main effects and pairwise interactions in a backcross population.
Abstract: The problem of locating multiple interacting quantitative trait loci (QTL) can be addressed as a multiple regression problem, with marker genotypes being the regressor variables. An important and difficult part in fitting such a regression model is the estimation of the QTL number and respective interactions. Among the many model selection criteria that can be used to estimate the number of regressor variables, none are used to estimate the number of interactions. Our simulations demonstrate that epistatic terms appearing in a model without the related main effects cause the standard model selection criteria to have a strong tendency to overestimate the number of interactions, and so the QTL number. With this as our motivation we investigate the behavior of the Schwarz Bayesian information criterion (BIC) by explaining the phenomenon of the overestimation and proposing a novel modification of BIC that allows the detection of main effects and pairwise interactions in a backcross population. Results of an extensive simulation study demonstrate that our modified version of BIC performs very well in practice. Our methodology can be extended to general populations and higher-order interactions.

186 citations


Authors

Showing all 13239 results

NameH-indexPapersCitations
Krzysztof Palczewski11463146909
Claude B. Sirlin9847533456
Marek Czosnyka8874729117
Alfred Forchel85135834771
Jerzy Leszczynski7899327231
Kim R. Dunbar7447020262
Massimo Olivucci6729214880
Nitesh V. Chawla6138841365
Edward R. T. Tiekink60196721052
Bobby G. Sumpter6061923583
Wieslaw Krolikowski5950412836
Pappannan Thiyagarajan5924510650
Marek Samoc5840111171
Lutz Mädler5823227800
Rafał Weron5828512058
Network Information
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202372
2022231
20211,579
20201,769
20191,753
20181,963