| Desynchronizing a chaotic pattern recognition neural network to model inaccurate perception D Calitoiu, BJ Oommen, D Nussbaum IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 37 …, 2007 | 31 | 2007 |
| Periodicity and stability issues of a chaotic pattern recognition neural network D Calitoiu, BJ Oommen, D Nussbaum Pattern analysis and applications 10 (3), 175-188, 2007 | 22 | 2007 |
| Modeling with non-cooperative agents: Destructive and non-destructive search algorithms for randomly located objects D Calitoiu, D Milici, N Mansour Search Algorithms and Applications 14, 504, 2011 | 16 | 2011 |
| New search algorithm for randomly located objects: A non-cooperative agent based approach D Calitoiu 2009 IEEE Symposium on Computational Intelligence for Security and Defense …, 2009 | 13 | 2009 |
| Modeling and simulating a disease outbreak by learning a contagion parameter-based model BJ Oommen, D Calitoiu Proceedings of the 2008 Spring simulation multiconference, 547-555, 2008 | 12 | 2008 |
| Spikes annihilation in the Hodgkin-Huxley neuron D Calitoiu, BJ Oommen, D Nussbaum Biological cybernetics 98, 239-257, 2008 | 12 | 2008 |
| Large-scale neuro-modeling for understanding and explaining some brain-related chaotic behavior D Calitoiu, BJ Oommen, D Nussbaum Simulation 88 (11), 1316-1337, 2012 | 8 | 2012 |
| Personnel attrition rate reporting E Vincent, D Calitoiu, R Ueno Director General Military Personnel Research and Analysis Scientific Report …, 2018 | 7 | 2018 |
| Chaotic systems for pattern recognition and brain modelling D Calitoiu Carleton University, 2007 | 6 | 2007 |
| Attrition, Promotion, Transfer: Reporting Rates in Personnel Operations Research. E Vincent, S Okazawa, D Calitoiu ICORES, 115-122, 2021 | 3 | 2021 |
| Supervised and Unsupervised Machine Learning Methods Applied for Enrolling Women in the Canadian Armed Forces: Identifying Geographical Areas with Highest Recruiting Potential D Calitoiu, R Ueno, P Boyd SN Computer Science 3 (3), 250, 2022 | 2 | 2022 |
| Identifying Geographical Areas using Machine Learning for Enrolling Women in the Canadian Armed Forces R Ueno, P Boyd, D Calitoiu ICORES 2021 (Best paper award), 307-316, 2021 | 2 | 2021 |
| Ranking clusters of postal codes to improve recruitment in the Canadian Armed Forces R Ueno, RM Bryce, D Calitoiu 2019 18th IEEE International Conference On Machine Learning And Applications …, 2019 | 2 | 2019 |
| E-Government: The Successful Korean Case/Gobierno electrónico: El exitoso caso coreano J Rogers Scielo, 2017 | 2 | 2017 |
| Investigating schizophrenia using local connectivity considerations within the piriform cortex D Calitoiu, D Nussbaum, BJ Oommen Canadian Conference on Electrical and Computer Engineering, 2005., 1669-1673, 2005 | 2 | 2005 |
| Neural Network-Based Chaotic Pattern Recognition — Part 2: Stability and Algorithmic Issues D Calitoiu, JB Oommen, D Nussbaum Computer Recognition Systems: Proceedings of the 4th International …, 2005 | 2 | 2005 |
| Modeling Inaccurate Perception: Desynchronization Issues of a Chaotic Pattern Recognition Neural Network D Calitoiu, BJ Oommen, D Nusbaumm Image Analysis: 14th Scandinavian Conference, SCIA 2005, Joensuu, Finland …, 2005 | 2 | 2005 |
| Tailored Military Recruitment through Machine Learning Algorithms. RM Bryce, R Ueno, C McDonald, D Calitoiu DeLTA, 87-92, 2021 | 1 | 2021 |
| Forecasting Attrition from the Canadian Armed Forces using Multivariate LSTM R Ueno, D Calitoiu 2020 19th IEEE International Conference on Machine Learning and Applications …, 2020 | 1 | 2020 |
| The science and art of chaotic pattern recognition BJ Oommen, Q Ke, C Dragos Handbook of Applications of Chaos Theory, 745-802, 2017 | 1 | 2017 |
