O-theory: A probabilistic alternative to fuzzy set theory. - E. M. Oblow (IPMU, 1986)

Extension of O-theory to problems of logical inferencing. - E. M. Oblow (Int. J. Intell. Syst., 1989)

Treatment of systematic errors in the processing of wide-angle sonar sensor data for robotic navigation. - Martin Beckerman; E. M. Oblow (IEEE Trans. Robotics Autom., 1990)

Implementing Valiant's Learnability Theory Using Random Sets. - E. M. Oblow (Mach. Learn., 1992)

Hybrid Pattern Recognition System Capable of Self-Modification. - Charles W. Glover; Nageswara S. V. Rao; E. M. Oblow (CIKM, 1993)

Learning Separations by Boolean Combinations of Half-Spaces. - Nageswara S. V. Rao; E. M. Oblow; Charles W. Glover (IEEE Trans. Pattern Anal. Mach. Intell., 1994)

Majority and Location Based Fusers for Systems of PAC Concept Learners. - Nageswara S. V. Rao; E. M. Oblow (IEEE Trans. Syst. Man Cybern. Syst., 1994)

N-Learners Problem: Fusion of Concepts. - Nageswara S. V. Rao; E. M. Oblow; Charles W. Glover; Gunar E. Liepins (IEEE Trans. Syst. Man Cybern. Syst., 1994)

Learning algorithms for feedforward networks based on finite samples. - Nageswara S. V. Rao; Vladimir A. Protopopescu; Reinhold C. Mann; E. M. Oblow; S. Sitharama Iyengar (IEEE Trans. Neural Networks, 1996)

On stochastic approximation algorithms for classes of PAC learning problems. - Nageswara S. V. Rao; V. R. R. Uppuluri; E. M. Oblow (IEEE Trans. Syst. Man Cybern. Part B, 1997)

SPT: a stochastic tunneling algorithm for global optimization. - E. M. Oblow (J. Glob. Optim., 2001)