Logic versus mathematics in computer science education. - Karel Culík II; Mateen M. Rizki (SIGCSE, 1983)

Mutation and Recombination Effects on the Adaptability of Sexual and Asexual Organisms. - Mateen M. Rizki; Jong Chen (Great Lakes Computer Science Conference, 1989)

Biological Evolution as a Paradigm for Performance Driven Design Processes. - Mateen M. Rizki; Louis A. Tamburino; Michael A. Zmuda (Great Lakes Computer Science Conference, 1989)

Performance-driven autonomous design of pattern-recognition systems. - Louis A. Tamburino; Mateen M. Rizki (Appl. Artif. Intell., 1992)

Evolution of Morphological Recognition Systems. - Mateen M. Rizki; Louis A. Tamburino; Michael A. Zmuda (Evolutionary Programming, 1995)

Generating Pattern- Recognition Systems Using Evolutionary Learning. - Louis A. Tamburino; Michael A. Zmuda; Mateen M. Rizki (IEEE Expert, 1995)

Resource Allocation for a Hybrid Evolutionary Learning System Used for Pattern Recognition. - Louis A. Tamburino; Mateen M. Rizki (Evolutionary Programming, 1996)

An evolutionary learning system for synthesizing complex morphological filters. - Michael A. Zmuda; Louis A. Tamburino; Mateen M. Rizki (IEEE Trans. Syst. Man Cybern. Part B, 1996)

A Hybrid Evolutionary Learining System for Synthesizing Neural Network Pattern Recognition Systems. - Devert Wicker; Mateen M. Rizki; Louis A. Tamburino (Evolutionary Programming, 1998)

Memorial tribute to Dr. Michael Conrad. - David B. Fogel; Russel W. Anderson; Robert G. Reynolds; Mateen M. Rizki (IEEE Trans. Evol. Comput., 2001)

Learning from a random player using the reference neuron model. - George Schleis; Mateen M. Rizki (IEEE Congress on Evolutionary Computation, 2002)

E-Net: Evolutionary neural network synthesis. - Devert Wicker; Mateen M. Rizki; Louis A. Tamburino (Neurocomputing, 2002)

Evolving pattern recognition systems. - Mateen M. Rizki; Michael A. Zmuda; Louis A. Tamburino (IEEE Trans. Evol. Comput., 2002)

Evolutionary Optimization of Heterogeneous Classifiers. - Dale E. Courte; Mateen M. Rizki; Louis A. Tamburino (IC-AI, 2003)

Hybrid evolutionary learning for synthesizing multi-class pattern recognition systems. - Michael A. Zmuda; Mateen M. Rizki; Louis A. Tamburino (Appl. Soft Comput., 2003)

Evolutionary Optimization of Gaussian Windowing Functions for Data Preprocessing. - Dale E. Courte; Mateen M. Rizki; Louis A. Tamburino; Ricardo Gutierrez-Osuna (Int. J. Artif. Intell. Tools, 2003)

Mutating real-valued vectors using angular displacement. - Michael A. Zmuda; Mateen M. Rizki; Louis A. Tamburino (Int. J. Artif. Intell. Tools, 2003)

Feature and Prototype Evolution for Nearest Neighbor Classification of Web Documents. - Michelle Cheatham; Mateen M. Rizki (ITNG, 2006)

Manifold and transfer subspace learning for cross-domain vehicle recognition in dynamic systems. - Olga Mendoza-Schrock; Mateen M. Rizki; Vincent J. Velten (FUSION, 2015)

Manifold Transfer Subspace Learning (MTSL) for Applications in Aided Target Recognition. - Olga Mendoza-Schrock; Mateen M. Rizki; Vincent J. Velten (Int. J. Monit. Surveillance Technol. Res., 2017)

Conditional Dilated Convolution Attention Tracking Model. - Tyler Highlander; Bernard Abayowa; Mateen M. Rizki; Hamilton Scott Clouse (IRC, 2019)