Institution
Wrocław University of Technology
Education•Wrocław, 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 & Fuzzy logic. The organization has 13115 authors who have published 31279 publications receiving 338694 citations.
Topics: Laser, Fuzzy logic, Quantum dot, Optical fiber, Photoluminescence
Papers published on a yearly basis
Papers
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TL;DR: A definition of the optimal solution of the transportation problem with fuzzy cost coefficients as well as an algorithm determining this solution are proposed.
286 citations
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TL;DR: The effective mass approximation is used to study the dependence of energy levels of lens-shaped SAD on size, depth of confining potential, and the magnetic field and relate the electron and hole energy levels to the magneto-optical properties of the SAD.
Abstract: The electronic structure of lens-shaped self-assembled quantum dots is studied as a function of the dot size, the confining potential, and the magnetic field. The parabolic confining potential and its corresponding energy spectrum are shown to be an excellent approximation. The magnetoexciton spectrum is calculated and compared with recent experiments. \textcopyright{} 1996 The American Physical Society.
285 citations
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01 Jan 2014TL;DR: This paper introduces an effective ensemble of cost-sensitive decision trees for imbalanced classification, which is capable of outperforming other state-of-the-art algorithms and representing a useful and effective approach for dealing with imbalanced datasets.
Abstract: Real-life datasets are often imbalanced, that is, there are significantly more training samples available for some classes than for others, and consequently the conventional aim of reducing overall classification accuracy is not appropriate when dealing with such problems. Various approaches have been introduced in the literature to deal with imbalanced datasets, and are typically based on oversampling, undersampling or cost-sensitive classification. In this paper, we introduce an effective ensemble of cost-sensitive decision trees for imbalanced classification. Base classifiers are constructed according to a given cost matrix, but are trained on random feature subspaces to ensure sufficient diversity of the ensemble members. We employ an evolutionary algorithm for simultaneous classifier selection and assignment of committee member weights for the fusion process. Our proposed algorithm is evaluated on a variety of benchmark datasets, and is confirmed to lead to improved recognition of the minority class, to be capable of outperforming other state-of-the-art algorithms, and hence to represent a useful and effective approach for dealing with imbalanced datasets.
282 citations
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TL;DR: In this paper, the equality in law of a skewed stable variable and a nonlinear transformation of two independent uniform and exponential variables has been proved, which has led to some inaccuracies in the literature.
270 citations
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TL;DR: In this article, a continuous transition density of the semigroup generated by the Kato class was constructed, where the transition density is comparable with that of the fractional Laplacian.
Abstract: We construct a continuous transition density of the semigroup generated by $${\Delta^{\alpha/2} + b(x)\cdot
abla}$$
for $${1 < \alpha < 2, d\ge 1}$$
and b in the Kato class $${\mathcal{K}_d^{\alpha-1}}$$
on $${\mathbb{R}^d}$$
. For small time the transition density is comparable with that of the fractional Laplacian.
263 citations
Authors
Showing all 13239 results
Name | H-index | Papers | Citations |
---|---|---|---|
Krzysztof Palczewski | 114 | 631 | 46909 |
Claude B. Sirlin | 98 | 475 | 33456 |
Marek Czosnyka | 88 | 747 | 29117 |
Alfred Forchel | 85 | 1358 | 34771 |
Jerzy Leszczynski | 78 | 993 | 27231 |
Kim R. Dunbar | 74 | 470 | 20262 |
Massimo Olivucci | 67 | 292 | 14880 |
Nitesh V. Chawla | 61 | 388 | 41365 |
Edward R. T. Tiekink | 60 | 1967 | 21052 |
Bobby G. Sumpter | 60 | 619 | 23583 |
Wieslaw Krolikowski | 59 | 504 | 12836 |
Pappannan Thiyagarajan | 59 | 245 | 10650 |
Marek Samoc | 58 | 401 | 11171 |
Lutz Mädler | 58 | 232 | 27800 |
Rafał Weron | 58 | 285 | 12058 |