Marina Sapir

14 papers C 1Journal 8Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Practical machine learning is learning on small samples.
CoRR
Marina Sapir
2022 J jnl
Machine Learning is Abduction Inference.
CoRR
Marina Sapir
2020 J jnl
Toward Theory of Applied Learning. What is Machine Learning?
CoRR
Marina Sapir
2018 J jnl
Learnable: Theory vs Applications.
CoRR
Marina Sapir
2017 J jnl
Optimal choice problem and its solutions.
CoRR
Marina Sapir
2011 J jnl
Bias Plus Variance Decomposition for Survival Analysis Problems
CoRR
Marina Sapir
2011 J jnl
Bipartite ranking algorithm for classification and survival analysis
CoRR
Marina Sapir
2011 J jnl
New Risk Modeling Method for Robust Learning on Smaller Samples
CoRR
Marina Sapir
2010 — conf
Improved automated localization and quantification of protein multiplexes via multispectral fluorescence imaging in heterogenous biopsy samples.
ISBI
Marina Sapir, Faisal M. Khan, Yevgen Vengrenyuk, Gerardo Fernandez, Ricardo Mesa-Tejada, Stefan Hamman, Mikhail Teverovskiy, Michael J. Donovan
2009 — conf
Robust tumor morphometry in multispectral fluorescence microscopy.
Computer-Aided Diagnosis
Ali Tabesh, Yevgen Vengrenyuk, Mikhail Teverovskiy, Faisal M. Khan, Marina Sapir, Douglas Powell, Ricardo Mesa-Tejada, Michael J. Donovan, Gerardo Fernandez
2008 — conf
Automated localization and quantification of protein multiplexes via multispectral fluorescence imaging.
ISBI
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
2007 C conf
Validity of Probabilistic Rules.
CIDM
Marina Sapir, Mikhail Teverovskiy
2006 — conf
Finding digest of rules: Towards data-driven data mining.
Computational Intelligence
Marina Sapir, Mikhail Teverovskiy
2005 — conf
Live Logic
RSFDGrC (1)
Marina Sapir, David Verbel, Angeliki Kotsianti, Olivier Saidi