Katalog der Deutschen Nationalbibliothek

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Artikel 100001 Interpretation of intelligence in CNN-pooling processes: a methodological survey
Enthalten in Neural computing & applications Bd. 32, 3.7.2019, Nr. 3, date:2.2020: 879-898
Online Ressource
Artikel 100002 Interpreting cis-regulatory mechanisms from genomic deep neural networks using surrogate models
Enthalten in Nature machine intelligence Bd. 6, 21.6.2024, Nr. 6, date:6.2024: 701-713
Online Ressource
Artikel 100003 Interpreting Face Inference Models Using Hierarchical Network Dissection
Enthalten in International journal of computer vision Bd. 130, 23.3.2022, Nr. 5, date:5.2022: 1277-1292
Online Ressource
Artikel 100004 Interpreting image texture metrics applied to landscape gradient data
Enthalten in Landscape ecology Bd. 38, 22.6.2023, Nr. 9, date:9.2023: 2179-2188
Online Ressource
Artikel 100005 Interpreting integration with respect to information systems in organizations – image, theory and reality
Enthalten in Journal of information technology Bd. 15, 1.6.2000, Nr. 2, date:6.2000: 131-147
Online Ressource
Artikel 100006 Interpreting MOS scores, when can users see a difference? Understanding user experience differences for photo quality
Enthalten in Quality and user experience Bd. 3, 2.5.2018, Nr. 1, date:12.2018: 1-14
Online Ressource
Artikel 100007 Interprocedural Compiler Optimization for Partial Run-Time Reconfiguration
Enthalten in The journal of VLSI signal processing systems for signal, image, and video technology Bd. 43, 1.6.2006, Nr. 2-3, date:6.2006: 161-172
Online Ressource
Artikel 100008 Intersection workspace visualization of multi-finger hands
Enthalten in The visual computer Bd. 33, 15.7.2017, Nr. 10, date:10.2017: 1253-1263
Online Ressource
Artikel 100009 Interval multi-objective quantum-inspired cultural algorithms
Enthalten in Neural computing & applications Bd. 30, 31.8.2016, Nr. 3, date:8.2018: 709-722
Online Ressource
Artikel 100010 Interval probabilistic neural network
Enthalten in Neural computing & applications Bd. 28, 21.11.2015, Nr. 4, date:4.2017: 817-834
Online Ressource


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