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Institution

Technical University of Dortmund

EducationDortmund, Nordrhein-Westfalen, Germany
About: Technical University of Dortmund is a education organization based out in Dortmund, Nordrhein-Westfalen, Germany. It is known for research contribution in the topics: Context (language use) & Large Hadron Collider. The organization has 13028 authors who have published 27666 publications receiving 615557 citations. The organization is also known as: Dortmund University & University of Dortmund.


Papers
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Journal ArticleDOI
TL;DR: An N2 effect was found after visual but not after auditory stimuli, which is evidence against the response-inhibition hypothesis.

221 citations

Journal ArticleDOI
Justin Albert1, E. Aliu, H. Anderhub2, P. Antoranz3, A. Armada, M. Asensio3, C. Baixeras4, Juan Abel Barrio3, H. Bartko5, Denis Bastieri6, Julia Becker7, W. Bednarek, K. Berger1, Ciro Bigongiari6, Adrian Biland2, R. K. Bock6, R. K. Bock5, Pol Bordas8, Valentí Bosch-Ramon8, Thomas Bretz1, I. Britvitch2, M. Camara3, E. Carmona5, Ashot Chilingarian9, Stefano Ciprini, J. A. Coarasa5, S. Commichau2, Jose Luis Contreras3, Juan Cortina, M. T. Costado10, V. Curtef7, V. Danielyan9, Francesco Dazzi6, A. De Angelis11, C. Delgado10, R. de los Reyes3, B. De Lotto11, E. Domingo-Santamaría, Daniela Dorner1, Michele Doro6, Manel Errando, Michela Fagiolini12, Daniel Ferenc13, E. Fernandez, R. Firpo, Jose Flix, M. V. Fonseca3, Ll. Font4, M. Fuchs5, Nicola Galante5, R. J. García-López10, M. Garczarczyk5, Markus Gaug10, Maria Giller, Florian Goebel5, D. Hakobyan9, Masaaki Hayashida5, T. Hengstebeck14, A. Herrero10, D. Höhne1, J. Hose5, S. Huber1, C. C. Hsu5, P. Jacon, T. Jogler5, R. Kosyra5, D. Kranich2, R. Kritzer1, A. Laille13, Elina Lindfors, Saverio Lombardi6, Francesco Longo11, Jorge Andres Lopez Lopez, M. López3, E. Lorenz5, E. Lorenz2, P. Majumdar5, G. Maneva, K. Mannheim1, Mosè Mariotti6, M. I. Martínez, Daniel Mazin, C. Merck5, Mario Meucci12, M. Meyer1, Jose Miguel Miranda3, R. Mirzoyan5, S. Mizobuchi5, Abelardo Moralejo, Daniel Nieto3, K. Nilsson, Jelena Ninkovic5, E. Oña-Wilhelmi, N. Otte5, N. Otte14, I. Oya3, M. Panniello10, Riccardo Paoletti12, J. M. Paredes8, M. Pasanen, D. Pascoli6, F. Pauss2, R. Pegna12, Massimo Persic11, Massimo Persic15, L. Peruzzo6, A. Piccioli12, N. Puchades, Elisa Prandini6, A. Raymers9, Wolfgang Rhode7, Marc Ribó8, J. Rico, M. Rissi2, A. Robert4, S. Rügamer1, A. Saggion6, Takashi Saito5, Alvaro Sanchez4, P. Sartori6, V. Scalzotto6, V. Scapin11, R. Schmitt1, T. Schweizer5, M. Shayduk5, M. Shayduk14, K. Shinozaki5, S. N. Shore16, N. Sidro, A. Sillanpää, Dorota Sobczyńska, Felix Spanier1, Antonio Stamerra12, L. S. Stark2, L. O. Takalo, Petar Temnikov, D. Tescaro, Masahiro Teshima5, Diego F. Torres17, Nicola Turini12, H. Vankov, A. Venturini11, V. Vitale11, Robert Wagner5, Tadeusz Wibig, W. Wittek5, F. Zandanel6, Roberta Zanin, J. Zapatero4 
TL;DR: In this paper, an application of the tree classification method Random Forest (RF), as used in the analysis of data from the ground-based gamma telescope MAGIC, is described, and critical issues of the method and its implementation are discussed.
Abstract: The paper describes an application of the tree classification method Random Forest (RF), as used in the analysis of data from the ground-based gamma telescope MAGIC. In such telescopes, cosmic gamma-rays are observed and have to be discriminated against a dominating background of hadronic cosmic-ray particles. We describe the application of RF for this gamma/hadron separation. The RF method often shows superior performance in comparison with traditional semi-empirical techniques. Critical issues of the method and its implementation are discussed. An application of the RF method for estimation of a continuous parameter from related variables, rather than discrete classes, is also discussed.

221 citations

Book
24 Mar 2016
TL;DR: This book focuses on two representations in detail: Markov logic networks, a relational extension of undirected graphical models and weighted first-order predicate calculus formula, and Problog, a probabilistic extension of logic programs that can also be viewed as a Turing-complete relational extensions of Bayesian networks.
Abstract: An intelligent agent interacting with the real world will encounter individual people, courses, test results, drugs prescriptions, chairs, boxes, etc., and needs to reason about properties of these individuals and relations among them as well as cope with uncertainty. Uncertainty has been studied in probability theory and graphical models, and relations have been studied in logic, in particular in the predicate calculus and its extensions. This book examines the foundations of combining logic and probability into what are called relational probabilistic models. It introduces representations, inference, and learning techniques for probability, logic, and their combinations. The book focuses on two representations in detail: Markov logic networks, a relational extension of undirected graphical models and weighted first-order predicate calculus formula, and Problog, a probabilistic extension of logic programs that can also be viewed as a Turing-complete relational extension of Bayesian networks.

221 citations

Journal ArticleDOI
TL;DR: The ERP results reveal a slight impairment of modality-specific inhibition in the elderly after visual, but not after auditory, stimuli, and it appears that the response slowing of the elderly is the result of a slows of the decision process whether to respo...
Abstract: In Go/Nogo tasks, the ERP after Nogo stimuli generally reveals a negativity (Nogo-)N2 and a subsequent positivity (Nogo-)P3 over fronto-central scalp regions. These components are probably related to different subprocesses serving response inhibition, namely, modality-specific and general inhibition, respectively. In the present study we investigate whether aging or prolonged work (“time-on-task”) have an effect on N2 and P3. Twelve young and 12 elderly subjects performed simple Go/Nogo tasks to visual or auditory letter stimuli. Reaction times were longer after visual than after auditory stimuli, and longer in the elderly than in the young. The ERP results reveal a slight impairment of modality-specific inhibition (N2) in the elderly after visual, but not after auditory, stimuli. General inhibition (P3) was delayed in the elderly for both modalities, as was Go-P3 and RT. Hence, it appears that the response slowing of the elderly is the result of a slowing of the decision process whether to respo...

220 citations

Journal ArticleDOI
TL;DR: The first G-APT Cherenkov Telescope (FACT) as mentioned in this paper was designed to detect cosmic gamma-rays with energies from several hundred GeV up to about 10 TeV using the Imaging AtmosphericCherenkov Technique.
Abstract: The First G-APD Cherenkov Telescope (FACT) is designed to detect cosmic gamma-rays with energies from several hundred GeV up to about 10 TeV using the Imaging Atmospheric Cherenkov Technique. In contrast to former or existing telescopes, the camera of the FACT telescope is comprised of solid-state Geiger-mode Avalanche Photodiodes (G-APD) instead of photomultiplier tubes for photo detection. It is the first full-scale device of its kind employing this new technology. The telescope is operated at the Observatorio del Roque de los Muchachos (La Palma, Canary Islands, Spain) since fall 2011. This paper describes in detail the design, construction and operation of the system, including hardware and software aspects. Technical experiences gained after one year of operation are discussed and conclusions with regard to future projects are drawn.

220 citations


Authors

Showing all 13240 results

NameH-indexPapersCitations
Hermann Kolanoski145127996152
Marc Besancon1431799106869
Kerstin Borras133134192173
Emmerich Kneringer129102180898
Achim Geiser129133184136
Valerio Vercesi12993779519
Jens Weingarten12889674667
Giuseppe Mornacchi12789475830
Kevin Kroeninger12683670010
Daniel Muenstermann12688570855
Reiner Klingenberg12673370069
Claus Gössling12677571975
Diane Cinca12682270126
Frank Meier12467764889
Daniel Dobos12467967434
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023131
2022306
20211,694
20201,773
20191,653
20181,579