Dragos Calitoiu
Dragos Calitoiu
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Cited by
Cited by
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
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
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
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
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
Spikes annihilation in the Hodgkin-Huxley neuron
D Calitoiu, BJ Oommen, D Nussbaum
Biological cybernetics 98, 239-257, 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
Personnel attrition rate reporting
E Vincent, D Calitoiu, R Ueno
Director General Military Personnel Research and Analysis Scientific Report …, 2018
Chaotic systems for pattern recognition and brain modelling
D Calitoiu
Carleton University, 2007
Attrition, Promotion, Transfer: Reporting Rates in Personnel Operations Research.
E Vincent, S Okazawa, D Calitoiu
ICORES, 115-122, 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
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
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
E-Government: The Successful Korean Case/Gobierno electrónico: El exitoso caso coreano
J Rogers
Scielo, 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
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
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
Tailored Military Recruitment through Machine Learning Algorithms.
RM Bryce, R Ueno, C McDonald, D Calitoiu
DeLTA, 87-92, 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
The science and art of chaotic pattern recognition
BJ Oommen, Q Ke, C Dragos
Handbook of Applications of Chaos Theory, 745-802, 2017
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