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Found 582 Documents (Results 1–100)

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Štěpánek, Lubomír; Habarta, Filip; Malá, Ivana; Marek, Luboš

Rather “Good in, good out” than “Garbage in, garbage out”: a comparison of various discrete subsampling algorithms using COVID-19 data without a response variable. (English) Zbl 07720690

Fidanova, Stefka (ed.), Recent advances in computational optimization. Results of the workshop on computational optimization, WCO 2021. Cham: Springer. Stud. Comput. Intell. 1044, 135-159 (2022).
MSC:  90C27 90C59
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\textit{L. Štěpánek} et al., Stud. Comput. Intell. 1044, 135--159 (2022; Zbl 07720690)
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Rezaei, Shahed; Harandi, Ali; Moeineddin, Ahmad; Xu, Bai-Xiang; Reese, Stefanie

A mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: comparison with finite element method. (English) Zbl 1507.74068

Comput. Methods Appl. Mech. Eng. 401, Part B, Article ID 115616, 34 p. (2022).
MSC:  74B05
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\textit{S. Rezaei} et al., Comput. Methods Appl. Mech. Eng. 401, Part B, Article ID 115616, 34 p. (2022; Zbl 1507.74068)
Full Text: DOI arXiv
Demetçi, Pınar; Santorella, Rebecca; Sandstede, Björn; Singh, Ritambhara

Unsupervised integration of single-cell multi-omics datasets with disproportionate cell-type representation. (English) Zbl 1496.92065

Pe’er, Itsik (ed.), Research in computational molecular biology. 26th annual international conference, RECOMB 2022, San Diego, CA, USA, May 22–25, 2022. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 13278, 3-19 (2022).
MSC:  92D20 92C37
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\textit{P. Demetçi} et al., Lect. Notes Comput. Sci. 13278, 3--19 (2022; Zbl 1496.92065)
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Brunton, Steven L.; Kutz, J. Nathan

Data-driven science and engineering. Machine learning, dynamical systems, and control. 2nd edition. (English) Zbl 1487.68001

Cambridge: Cambridge University Press (ISBN 978-1-00-909848-9/hbk; 978-1-00-908951-7/ebook). xxiv, 590 p. (2022).
MSC:  68-01 62-01 93-01 37N35 62R07 68T05 68T09 93B28 93B30 93C95 94A16
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\textit{S. L. Brunton} and \textit{J. N. Kutz}, Data-driven science and engineering. Machine learning, dynamical systems, and control. 2nd edition. Cambridge: Cambridge University Press (2022; Zbl 1487.68001)
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Mohammadinejad, Sara; Deshmukh, Jyotirmoy V.; Nenzi, Laura

Mining interpretable spatio-temporal logic properties for spatially distributed systems. (English) Zbl 1497.68433

Hou, Zhe (ed.) et al., Automated technology for verification and analysis. 19th international symposium, ATVA 2021, Gold Coast, QLD, Australia, October 18–22, 2021. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 12971, 91-107 (2021).
MSC:  68T05 62H30 68M14 68Q60
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\textit{S. Mohammadinejad} et al., Lect. Notes Comput. Sci. 12971, 91--107 (2021; Zbl 1497.68433)
Full Text: DOI arXiv
Mukherjee, Subhadip; Öktem, Ozan; Schönlieb, Carola-Bibiane

Adversarially learned iterative reconstruction for imaging inverse problems. (English) Zbl 1484.68192

Elmoataz, Abderrahim (ed.) et al., Scale space and variational methods in computer vision. 8th international conference, SSVM 2021, virtual event, May 16–20, 2021. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 12679, 540-552 (2021).
MSC:  68T05 65J20 65J22 68U10 92C55
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\textit{S. Mukherjee} et al., Lect. Notes Comput. Sci. 12679, 540--552 (2021; Zbl 1484.68192)
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Azad, Amitoz; Rabin, Julien; Elmoataz, Abderrahim

Variational models for signal processing with graph neural networks. (English) Zbl 1484.68203

Elmoataz, Abderrahim (ed.) et al., Scale space and variational methods in computer vision. 8th international conference, SSVM 2021, virtual event, May 16–20, 2021. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 12679, 320-332 (2021).
MSC:  68T07 49J40 68T05 94A12
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\textit{A. Azad} et al., Lect. Notes Comput. Sci. 12679, 320--332 (2021; Zbl 1484.68203)
Full Text: DOI arXiv
James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert

An introduction to statistical learning. With applications in R. 2nd edition. (English) Zbl 1469.62002

Springer Texts in Statistics. New York, NY: Springer (ISBN 978-1-0716-1417-4/hbk; 978-1-0716-1420-4/pbk; 978-1-0716-1418-1/ebook). xv, 607 p. (2021).
MSC:  62-01 62C99 68T05
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\textit{G. James} et al., An introduction to statistical learning. With applications in R. 2nd edition. New York, NY: Springer (2021; Zbl 1469.62002)
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Akalin, Altuna
[Franke, Verdan; Uyar, Bora; Ronen, Jonathan]

Computational genomics with R. With the assistance of Verdan Franke, Bora Uyar and Jonathan Ronen. (English) Zbl 1482.92002

Chapman & Hall/CRC Computational Biology Series. Boca Raton, FL: CRC Press (ISBN 978-1-4987-8185-5/hbk; 978-0-367-63460-5/pbk; 978-0-429-08431-7/ebook). xxii, 440 p. (2021).
Reviewer: Irina Ioana Mohorianu (Oxford)
MSC:  92-02 92D10 62P10
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\textit{A. Akalin}, Computational genomics with R. With the assistance of Verdan Franke, Bora Uyar and Jonathan Ronen. Boca Raton, FL: CRC Press (2021; Zbl 1482.92002)
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Gopalan, Parikshit; Levin, Roie; Wieder, Udi

Finding skewed subcubes under a distribution. (English) Zbl 07650432

Vidick, Thomas (ed.), 11th innovations in theoretical computer science conference, ITCS 2020, Seattle, Washington, USA, January 12–14, 2020. Wadern: Schloss Dagstuhl – Leibniz Zentrum für Informatik. LIPIcs – Leibniz Int. Proc. Inform. 151, Article 84, 30 p. (2020).
MSC:  68Qxx
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\textit{P. Gopalan} et al., LIPIcs -- Leibniz Int. Proc. Inform. 151, Article 84, 30 p. (2020; Zbl 07650432)
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