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1 . Academic Journal
Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology
저자
by
Stefan Studer
;
Thanh Binh Bui
;
Christian Drescher
;
Alexander Hanuschkin
;
Ludwig Winkler
, et al.
소스
Machine Learning and Knowledge Extraction, Vol 3, Iss 2, Pp 392-413 (2021)
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Find it @ DONGA
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7 . Academic Journal
Songbirds work around computational complexity by learning song vocabulary independently of sequence
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by
Dina Lipkind
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Anja T. Zai
;
Alexander Hanuschkin
;
Gary F. Marcus
;
Ofer Tchernichovski
, et al.
소스
Nature Communications, Vol 8, Iss 1, Pp 1-11 (2017)
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7 . Academic Journal
A general and efficient method for incorporating precise spike times in globally time-driven simulations
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by
Alexander Hanuschkin
;
Susanne Kunkel
;
Moritz Helias
;
Abigail Morrison
;
Markus Diesmann
.
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Frontiers in Neuroinformatics, Vol 4 (2010)
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7 .
Maschinelles Lernen als Analysewerkzeug in der Motorenforschung
저자
by
Jürgen Schorr
;
Steven Peters
;
Christian Krüger
;
Alexander Hanuschkin
.
소스
ATZelektronik
. 16:46-49
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6 .
Investigation of cycle-to-cycle variations in a spark-ignition engine based on a machine learning analysis of the early flame kernel
저자
by
Steven Peters
;
Cooper Welch
;
Alexander Hanuschkin
;
Andreas Dreizler
;
Marius Schmidt
, et al.
소스
Proceedings of the Combustion Institute
. 38:5751-5759
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7 .
Machine Learning as an Analysis Tool in Engine Research
저자
by
Christian Krüger
;
Alexander Hanuschkin
;
Steven Peters
;
Jürgen Schorr
.
소스
ATZelectronics worldwide
. 16:44-47
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6 .
Deep feature learning of in-cylinder flow fields to analyze cycle-to-cycle variations in an SI engine
저자
by
Sara Ourza
;
Johannes Maucher
;
Marius Schmidt
;
Andreas Dreizler
;
Samuel Zündorf
, et al.
소스
International Journal of Engine Research
. 22:3263-3285
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7 .
Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology
저자
by
Müller, Stefan Studer
;
Thanh Binh Bui
;
Christian Drescher
;
Alexander Hanuschkin
;
Ludwig Winkler
, et al.
소스
Machine Learning and Knowledge Extraction; Volume 3; Issue 2; Pages: 392-413
Open Access (OpenAIRE)
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7 .
Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology
저자
by
Alexander Hanuschkin
;
Stefan Studer
;
Ludwig Winkler
;
Christian Drescher
;
Thanh Binh Bui
, et al.
소스
Machine Learning and Knowledge Extraction
Volume 3
Issue 2
Pages 392-413
Machine Learning and Knowledge Extraction, Vol 3, Iss 392, Pp 392-413 (2021)
Open Access (OpenAIRE)
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7 .
Machine learning–based analysis of in-cylinder flow fields to predict combustion engine performance
저자
by
Alexander Hanuschkin
;
Steffen Schober
;
Steven Peters
;
Johannes Bode
;
Benjamin Böhm
, et al.
소스
International Journal of Engine Research
. 22:257-272
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