Recognitive Aspects of Moment Invariants. - Yaser S. Abu-Mostafa; Demetri Psaltis (IEEE Trans. Pattern Anal. Mach. Intell., 1984)

Image Normalization by Complex Moments. - Yaser S. Abu-Mostafa; Demetri Psaltis (IEEE Trans. Pattern Anal. Mach. Intell., 1985)

Information capacity of the Hopfield model. - Yaser S. Abu-Mostafa; Jeannine-Marie St. Jacques (IEEE Trans. Inf. Theory, 1985)

The complexity of information extraction. - Yaser S. Abu-Mostafa (IEEE Trans. Inf. Theory, 1986)

Connectivity Versus Entropy. - Yaser S. Abu-Mostafa (NIPS, 1987)

On the Time-Bandwidth Proof in VLSI Complexity. - Yaser S. Abu-Mostafa (IEEE Trans. Computers, 1987)

On the K-Winners-Take-All Network. - E. Majani; Ruth Erlanson; Yaser S. Abu-Mostafa (NIPS, 1988)

Guest editorial. - Yaser S. Abu-Mostafa (J. Complex., 1988)

Lower bound for connectivity in local-learning neural networks. - Yaser S. Abu-Mostafa (J. Complex., 1988)

Random problems. - Yaser S. Abu-Mostafa (J. Complex., 1988)

The Capacity of Multilevel Threshold Functions. - Sverrir Olafsson; Yaser S. Abu-Mostafa (IEEE Trans. Pattern Anal. Mach. Intell., 1988)

A Method for the Associative Storage of Analog Vectors. - Amir F. Atiya; Yaser S. Abu-Mostafa (NIPS, 1989)

Information theory, complexity and neural networks. - Yaser S. Abu-Mostafa (IEEE Commun. Mag., 1989)

The Vapnik-Chervonenkis Dimension: Information versus Complexity in Learning. - Yaser S. Abu-Mostafa (Neural Comput., 1989)

Analog Neural Networks as Decoders. - Ruth Erlanson; Yaser S. Abu-Mostafa (NIPS, 1990)

Learning from hints in neural networks. - Yaser S. Abu-Mostafa (J. Complex., 1990)

A Method for Learning From Hints. - Yaser S. Abu-Mostafa (NIPS, 1992)

Hints and the VC Dimension. - Yaser S. Abu-Mostafa (Neural Comput., 1993)

An analog feedback associative memory. - Amir F. Atiya; Yaser S. Abu-Mostafa (IEEE Trans. Neural Networks, 1993)

Financial Applications of Learning from Hints. - Yaser S. Abu-Mostafa (NIPS, 1994)

Learning from Hints. - Yaser S. Abu-Mostafa (J. Complex., 1994)

Hints. - Yaser S. Abu-Mostafa (Neural Comput., 1995)

Monotonicity Hints. - Joseph Sill; Yaser S. Abu-Mostafa (NIPS, 1996)

Introduction to Financial Forecasting. - Yaser S. Abu-Mostafa; Amir F. Atiya (Appl. Intell., 1996)

Review of 'Introduction to the Theory of Neural Computation' (Hertz, J., et al.; 1991). - Yaser S. Abu-Mostafa (IEEE Trans. Inf. Theory, 1996)

Incorporating Contextual Information in White Blood Cell Identification. - Xubo B. Song; Yaser S. Abu-Mostafa; Joseph Sill; Harvey Kasdan (NIPS, 1997)

Financial markets: very noisy information processing. - Malik Magdon-Ismail; Alexander Nicholson; Yaser S. Abu-Mostafa (Proc. IEEE, 1998)

Image Recognition in Context: Application to Microscopic Urinalysis. - Xubo B. Song; Joseph Sill; Yaser S. Abu-Mostafa; Harvey Kasdan (NIPS, 1999)

No Free Lunch for Early Stopping. - Zehra Cataltepe; Yaser S. Abu-Mostafa; Malik Magdon-Ismail (Neural Comput., 1999)

Minimizing memory loss in learning a new environment. - Khalid A. Al-Mashouq; Yaser S. Abu-Mostafa; Khaled Al-Ghoneim (Neurocomputing, 2001)

Financial model calibration using consistency hints. - Yaser S. Abu-Mostafa (IEEE Trans. Neural Networks, 2001)

Introduction to the special issue on neural networks in financial engineering. - Yaser S. Abu-Mostafa; Amir F. Atiya; Malik Magdon-Ismail; Halbert L. White (IEEE Trans. Neural Networks, 2001)

Emergent Specialization in Swarm Systems. - Ling Li; Alcherio Martinoli; Yaser S. Abu-Mostafa (IDEAL, 2002)

The Multilevel Classification Problem and a Monotonicity Hint. - Malik Magdon-Ismail; Hung-Ching Chen; Yaser S. Abu-Mostafa (IDEAL, 2002)

Robust image recognition by fusion of contextual information. - Xubo B. Song; Yaser S. Abu-Mostafa; Joseph Sill; Harvey Kasdan; Misha Pavel (Inf. Fusion, 2002)

The maximum drawdown of the Brownian motion. - Malik Magdon-Ismail; Amir F. Atiya; Amrit Pratap; Yaser S. Abu-Mostafa (CIFEr, 2003)

Learning and Measuring Specialization in Collaborative Swarm Systems. - Ling Li; Alcherio Martinoli; Yaser S. Abu-Mostafa (Adapt. Behav., 2004)

Pruning Training Sets for Learning of Object Categories. - Anelia Angelova; Yaser S. Abu-Mostafa; Pietro Perona (CVPR (1), 2005)

Improving Generalization by Data Categorization. - Ling Li; Amrit Pratap; Hsuan-Tien Lin; Yaser S. Abu-Mostafa (PKDD, 2005)

Mismatched Training and Test Distributions Can Outperform Matched Ones. - Carlos R. González; Yaser S. Abu-Mostafa (Neural Comput., 2015)