A. Zemla
AGH University of Science and Technology
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Publication
Featured researches published by A. Zemla.
Computer Science | 2008
Łukasz Janyst; A. Kaczmarska; Tadeusz Szymocha; Marcin Wladyslaw Wolter; A. Zemla
Elementary particle physics experiments, which search for very rare processes, require the efficient analysis and selection algorithms able to separate a signal from the overwhelming background. Four learning machine algorithms have been applied to identify τ leptons in the ATLAS experiment: projective likelihood estimator (LL), Probability Density Estimator with Range Searches (PDE-RS), Neural Network, and the Support Vector Machine (SVM). All four methods have similar performance, which is significantly better than the baseline cut analysis. This indicates that the achieved background rejection is close to the maximal achievable performance.
Archive | 2007
A. Hocker; X. Prudent; Jan Therhaag; Y. Mahalalel; Moritz Backes; Rustem Ospanov; Maciej Kruk; M. Jachowski; Alexander Voight; Arnaud Robert; F. Tegenfeldt; Kamil Kraszewski; Marcin Wladyslaw Wolter; Domikik Dannheim; H. Voss; Krzysztof Danielowski; K. Voss; S. Henrot-Versille; Doug Schouten; Peter Speckmayer; Jan Stelzer; Or Cohen; T. Carli; A. Zemla; A. Krasznahorkay; Eckhard von Toerne; Asen Christov
Annales Umcs, Informatica | 2007
Marcin Wladyslaw Wolter; A. Zemla
