Marina Sapir

According to our database¹, Marina Sapir authored at least 13 papers between 2005 and 2022.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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On csauthors.net:

Bibliography

2022

Machine Learning is Abduction Inference.

[BibT_eX]

[DOI]

Marina Sapir

CoRR, 2022

2020

Toward Theory of Applied Learning. What is Machine Learning?

[BibT_eX]

[DOI]

Marina Sapir

CoRR, 2020

2018

Learnable: Theory vs Applications.

[BibT_eX]

[DOI]

Marina Sapir

CoRR, 2018

2017

Optimal choice problem and its solutions.

[BibT_eX]

[DOI]

Marina Sapir

CoRR, 2017

2011

Bipartite ranking algorithm for classification and survival analysis

[BibT_eX]

[DOI]

Marina Sapir

CoRR, 2011

Bias Plus Variance Decomposition for Survival Analysis Problems

[BibT_eX]

[DOI]

Marina Sapir

CoRR, 2011

New Risk Modeling Method for Robust Learning on Smaller Samples

[BibT_eX]

[DOI]

Marina Sapir

CoRR, 2011

2010

Improved automated localization and quantification of protein multiplexes via multispectral fluorescence imaging in heterogenous biopsy samples.

[BibT_eX]

[DOI]

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009

Robust tumor morphometry in multispectral fluorescence microscopy.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

2008

Automated localization and quantification of protein multiplexes via multispectral fluorescence imaging.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2007

Validity of Probabilistic Rules.

[BibT_eX]

[DOI]

Marina Sapir

Mikhail Teverovskiy

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

2006

Finding digest of rules: Towards data-driven data mining.

[BibT_eX]

Marina Sapir

Mikhail Teverovskiy

Proceedings of the Second IASTED International Conference on Computational Intelligence, 2006

2005

Live Logic<sup>TM</sup>: Method for Approximate Knowledge Discovery and Decision Making.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets, 2005

Marina Sapir

Timeline

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Links

On csauthors.net:

Bibliography

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