Marina Sapir

Publication Activity (10 Years)

Years Active: 2005-2022
Publications (10 Years): 4

Top Topics

Inference Process

Knowledge Acquisition

Machine Learning

Optimal Or Near Optimal

Top Venues

Publications

Marina Sapir
Machine Learning is Abduction Inference. CoRR (2022)
Marina Sapir
Toward Theory of Applied Learning. What is Machine Learning? CoRR (2020)
Marina Sapir
Learnable: Theory vs Applications. CoRR (2018)
Marina Sapir
Optimal choice problem and its solutions. CoRR (2017)
Marina Sapir
Bipartite ranking algorithm for classification and survival analysis CoRR (2011)
Marina Sapir
Bias Plus Variance Decomposition for Survival Analysis Problems CoRR (2011)
Marina Sapir
New Risk Modeling Method for Robust Learning on Smaller Samples CoRR (2011)
Marina Sapir, Faisal M. Khan, Yevgen Vengrenyuk, Gerardo Fernandez, Ricardo Mesa-Tejada, Stefan Hamman, Mikhail Teverovskiy, Michael J. Donovan
Improved automated localization and quantification of protein multiplexes via multispectral fluorescence imaging in heterogenous biopsy samples. ISBI (2010)
Ali Tabesh, Yevgen Vengrenyuk, Mikhail Teverovskiy, Faisal M. Khan, Marina Sapir, Douglas Powell, Ricardo Mesa-Tejada, Michael J. Donovan, Gerardo Fernandez
Robust tumor morphometry in multispectral fluorescence microscopy. Medical Imaging: Computer-Aided Diagnosis (2009)
Mikhail Teverovskiy, Yevgen Vengrenyuk, Ali Tabesh, Marina Sapir, Stephen Fogarasi, Ho-Yuen Pang, Faisal M. Khan, Stefan Hamann, Paola Capodieci, Mark Clayton, Robert Kim, Gerardo Fernandez, Ricardo Mesa-Tejada, Michael J. Donovan
Automated localization and quantification of protein multiplexes via multispectral fluorescence imaging. ISBI (2008)
Marina Sapir, Mikhail Teverovskiy
Validity of Probabilistic Rules. CIDM (2007)
Marina Sapir, Mikhail Teverovskiy
Finding digest of rules: Towards data-driven data mining. Computational Intelligence (2006)
Marina Sapir, David Verbel, Angeliki Kotsianti, Olivier Saidi
: Method for Approximate Knowledge Discovery and Decision Making. RSFDGrC (1) (2005)