Data flow graph partitioning to reduce communication cost. - Cris Koutsougeras; Christos A. Papachristou; Ranga Vemuri (MICRO, 1986)

Training of a neural network for pattern classification based on an entropy measure. - Cris Koutsougeras; Christos A. Papachristou (ICNN, 1988)

Extending Athena: multiple classes and confidence output values. - Cris Koutsougeras; George Georgiou; Christos A. Papachristou (TAI, 1990)

An annealing approach to associative recall in the CBM model. - Peggy Israel; Cris Koutsougeras (IJCNN, 1990)

Associative Recall Based on Abstract Object Descriptions Learned from Observation: the CBM Neural Net Model. - Peggy Israel; Cris Koutsougeras (Int. J. Pattern Recognit. Artif. Intell., 1990)

AI in multimedia (panel session). - Nikolaos G. Bourbakis; Robin Williams 001; Forouzan Golshani; Myron Flickner; Ted Laliotis; Sukhan Lee 001; José G. Delgado-Frias; Dan Hammerstrom; Cris Koutsougeras; Gerald G. Pechanek; Benjamin W. Wah; John Yen; et al. (ICTAI, 1991)

A method for training a feed-forward neural net model while targeting reduced nonlinearity. - Cris Koutsougeras; George Papadourakis (ICTAI, 1991)

Coupling Supervised and Unsupervised Techniques in Training Feed-Forward Nets. - Cris Koutsougeras; George Papadourakis (Int. J. Artif. Intell. Tools, 1992)

A Feedforward Neural Network Classifier Model: Multiple Classes, Confidence Output Values, and Implementation. - Cris Koutsougeras; George Georgiou; Christos A. Papachristou (Int. J. Pattern Recognit. Artif. Intell., 1992)

On Features Used for Handwritten Character Recognition in a Neural Network Environment. - Akhtar Jameel; Cris Koutsougeras (ICTAI, 1993)

Data Transformation for Learning in Feedforward Neural Nets. - Cris Koutsougeras; Radhakrishnan Srikanth (ICTAI, 1993)

A Hybrid Electro-Optical Architecture for Classification Trees and Associative Memory Mechanisms. - Peggy Israel; Cris Koutsougeras (Int. J. Artif. Intell. Tools, 1993)

A Method for Parallel Search under Higher-Order Constraints. - Cris Koutsougeras; Peggy Israel (Int. J. Pattern Recognit. Artif. Intell., 1993)

Hybrid Charge Clustering Network: a heterogeneous neural network model. - Radhakrishnan Srikanth; Cris Koutsougeras; Roy George (Neural Parallel Sci. Comput., 1994)

Refinements in Training Schemes for the Coulomb Energy Network. - John F. Vassilopoulos; Cris Koutsougeras (ICTAI, 1996)

Niching in an ES/EP context. - Jian Zhang 007; Xiaojing Yuan; Zhixiang Zeng; Bill P. Buckles; Cris Koutsougeras; Saud Amer (CEC, 1999)

On model selection in SLT and linear basis neural networks. - Arturo Hernández Aguirre; Cris Koutsougeras; Bill P. Buckles (IJCNN, 1999)

Content-based Search Prototype for Image Databases. - Rocío Alba-Flores; Cris Koutsougeras; Bill P. Buckles; Saud Amernd (MD, 1999)

Sample Complexity for Function Learning Tasks Through Linear Neural Networks. - Arturo Hernández Aguirre; Cris Koutsougeras; Bill P. Buckles (Int. J. Artif. Intell. Tools, 2002)

On the Problem of Training the Coulomb Energy Network. - John F. Vassilopoulos; Cris Koutsougeras; Arturo Hernández Aguirre (Int. J. Artif. Intell. Tools, 2002)

A knowledge-based expert system for automatic visual VLSI reverse-engineering: VLSI layout version. - Nikolaos G. Bourbakis; A. Mogzadeh; J. Sukarno Mertoguno; Cris Koutsougeras (IEEE Trans. Syst. Man Cybern. Part A, 2002)

The Culebra Algorithm for Path Planning and Obstacle Avoidance in Kat-5. - Jorge Nagel; Paul G. Trepagnier; Cris Koutsougeras; Powell M. Kinney; Matthew Dooner (ICTAI, 2006)

KAT-5: Robust systems for autonomous vehicle navigation in challenging and unknown terrain. - Paul G. Trepagnier; Jorge Nagel; Powell M. Kinney; Cris Koutsougeras; Matthew Dooner (J. Field Robotics, 2006)

Event-driven sensor deployment using self-organizing maps. - Cris Koutsougeras; Yi Liu; Rong Zheng (Int. J. Sens. Networks, 2008)

Graph memory development in a robot control architecture. - Patrick McDowell; Cris Koutsougeras (J. Comput. Sci. Coll., 2009)

Predicting Water Quality Parameters in Lake Pontchartrain using Machine Learning: A comparison on K-Nearest Neighbors, Decision Trees, and Neural Networks to Predict Water Quality. - Alexis Daniels; Cris Koutsougeras (ICISDM, 2021)