Live LogicTM: Method for Approximate Knowledge Discovery and Decision Making. - Marina Sapir; David Verbel; Angeliki Kotsianti; Olivier Saidi (RSFDGrC (1), 2005)

Finding digest of rules: Towards data-driven data mining. - Marina Sapir; Mikhail Teverovskiy (Computational Intelligence, 2006)

Validity of Probabilistic Rules. - Marina Sapir; Mikhail Teverovskiy (CIDM, 2007)

Automated localization and quantification of protein multiplexes via multispectral fluorescence imaging. - 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; et al. (ISBI, 2008)

Robust tumor morphometry in multispectral fluorescence microscopy. - Ali Tabesh; Yevgen Vengrenyuk; Mikhail Teverovskiy; Faisal M. Khan; Marina Sapir; Douglas Powell; Ricardo Mesa-Tejada; Michael J. Donovan; Gerardo Fernandez (Computer-Aided Diagnosis, 2009)

Improved automated localization and quantification of protein multiplexes via multispectral fluorescence imaging in heterogenous biopsy samples. - Marina Sapir; Faisal M. Khan; Yevgen Vengrenyuk; Gerardo Fernandez; Ricardo Mesa-Tejada; Stefan Hamman; Mikhail Teverovskiy; Michael J. Donovan (ISBI, 2010)

New Risk Modeling Method for Robust Learning on Smaller Samples - Marina Sapir (CoRR, 2011)

Bias Plus Variance Decomposition for Survival Analysis Problems - Marina Sapir (CoRR, 2011)

Bipartite ranking algorithm for classification and survival analysis - Marina Sapir (CoRR, 2011)

Optimal choice problem and its solutions. - Marina Sapir (CoRR, 2017)

Learnable: Theory vs Applications. - Marina Sapir (CoRR, 2018)

Toward Theory of Applied Learning. What is Machine Learning? - Marina Sapir (CoRR, 2020)

Machine Learning is Abduction Inference. - Marina Sapir (CoRR, 2022)

Practical machine learning is learning on small samples. - Marina Sapir (CoRR, 2025)