Neural Network-Based Chaotic Pattern Recognition - Part 2: Stability and Algorithmic Issues. - Dragos Calitoiu; B. John Oommen; Doron Nussbaum (CORES, 2005)

Modeling Inaccurate Perception: Desynchronization Issues of a Chaotic Pattern Recognition Neural Network. - Dragos Calitoiu; B. John Oommen; Dorin Nusbaumm (SCIA, 2005)

The stability of behavioral synchronization in a network of bursting neurons: a new explanation for epileptogenesis. - Dragos Calitoiu (CCECE, 2006)

Stability issues in a Biological Model of Self and Non-self Immune Regulation. - Dragos Calitoiu (CCECE, 2006)

Analytic Results on the Hodgkin-Huxley Neural Network: Spikes Annihilation. - Dragos Calitoiu; B. John Oommen; Doron Nussbaum (Canadian AI, 2007)

Some Analysis on the Network of Bursting Neurons: Quantifying Behavioral Synchronization. - Dragos Calitoiu; B. John Oommen; Doron Nussbaum (Australian Conference on Artificial Intelligence, 2007)

Numerical Results on the Hodgkin-Huxley Neural Network: Spikes Annihilation. - Dragos Calitoiu; B. John Oommen; Doron Nussbaum (BVAI, 2007)

Periodicity and stability issues of a chaotic pattern recognition neural network. - Dragos Calitoiu; B. John Oommen; Doron Nussbaum (Pattern Anal. Appl., 2007)

Desynchronizing a Chaotic Pattern Recognition Neural Network to Model Inaccurate Perception. - Dragos Calitoiu; B. John Oommen; Doron Nussbaum (IEEE Trans. Syst. Man Cybern. Part B, 2007)

Large scale modeling of the piriform cortex for analyzing antiepileptic effects. - Dragos Calitoiu; Doron Nussbaum; B. John Oommen (SpringSim, 2008)

Modeling and simulating a disease outbreak by learning a contagion parameter-based model. - B. John Oommen; Dragos Calitoiu (SpringSim, 2008)

Spikes annihilation in the Hodgkin-Huxley neuron. - Dragos Calitoiu; B. John Oommen; Doron Nussbaum (Biol. Cybern., 2008)

New search algorithm for randomly located objects: A non-cooperative agent based approach. - Dragos Calitoiu (CISDA, 2009)

On using Simulation and Stochastic Learning for Pattern Recognition When Training Data is Unavailable - The Case of Disease Outbreak. - Dragos Calitoiu; B. John Oommen (ICAART (1), 2010)

Modeling with non-cooperative agents: destructive search for randomly located objects. - Dragos Calitoiu; Dan Milici (SummerSim, 2010)

Large-scale neuro-modeling for understanding and explaining some brain-related chaotic behavior. - Dragos Calitoiu; B. John Oommen; Doron Nussbaum (Simul., 2012)

Ranking Clusters of Postal Codes to Improve Recruitment in the Canadian Armed Forces. - Ryuichi Ueno; Robert M. Bryce; Dragos Calitoiu (ICMLA, 2019)

Forecasting Attrition from the Canadian Armed Forces using Multivariate LSTM. - Ryuichi Ueno; Dragos Calitoiu (ICMLA, 2020)

Tailored Military Recruitment through Machine Learning Algorithms. - Robert M. Bryce; Ryuichi Ueno; Christopher McDonald; Dragos Calitoiu (DeLTA, 2021)

Identifying Geographical Areas using Machine Learning for Enrolling Women in the Canadian Armed Forces. - Ryuichi Ueno; Peter Boyd; Dragos Calitoiu (ICORES, 2021)

Attrition, Promotion, Transfer: Reporting Rates in Personnel Operations Research. - Étienne Vincent; Stephen Okazawa; Dragos Calitoiu (ICORES, 2021)

Reporting and Comparing Rates of Personnel Flow. - Étienne Vincent; Stephen Okazawa; Dragos Calitoiu (ICORES (Selected Papers), 2021)

Supervised and Unsupervised Machine Learning Methods Applied for Enrolling Women in the Canadian Armed Forces. - Dragos Calitoiu; Ryuichi Ueno; Peter Boyd (SN Comput. Sci., 2022)

Calibrating the classifier for protein family prediction with protein sequence using machine learning techniques: An empirical investigation. - Thomas Idhaya; A. Suruliandi 001; Dragos Calitoiu; S. P. Raja 001 (Int. J. Wavelets Multiresolution Inf. Process., 2023)