Dragos Calitoiu

24 papers C 4Journal 6Unranked 14
YearRankTypeTitle / Venue / Authors
2023 J jnl
Calibrating the classifier for protein family prediction with protein sequence using machine learning techniques: An empirical investigation.
Int. J. Wavelets Multiresolution Inf. Process.
Thomas Idhaya, A. Suruliandi, Dragos Calitoiu, S. P. Raja
2022 J jnl
Supervised and Unsupervised Machine Learning Methods Applied for Enrolling Women in the Canadian Armed Forces.
SN Comput. Sci.
Dragos Calitoiu, Ryuichi Ueno, Peter Boyd
2021 C conf
Attrition, Promotion, Transfer: Reporting Rates in Personnel Operations Research.
ICORES
Étienne Vincent, Stephen Okazawa, Dragos Calitoiu
2021 C conf
Identifying Geographical Areas using Machine Learning for Enrolling Women in the Canadian Armed Forces.
ICORES
Ryuichi Ueno, Peter Boyd, Dragos Calitoiu
2021 — conf
Reporting and Comparing Rates of Personnel Flow.
ICORES (Selected Papers)
Étienne Vincent, Stephen Okazawa, Dragos Calitoiu
2021 — conf
Tailored Military Recruitment through Machine Learning Algorithms.
DeLTA
Robert M. Bryce, Ryuichi Ueno, Christopher McDonald, Dragos Calitoiu
2020 C conf
Forecasting Attrition from the Canadian Armed Forces using Multivariate LSTM.
ICMLA
Ryuichi Ueno, Dragos Calitoiu
2019 C conf
Ranking Clusters of Postal Codes to Improve Recruitment in the Canadian Armed Forces.
ICMLA
Ryuichi Ueno, Robert M. Bryce, Dragos Calitoiu
2012 J jnl
Large-scale neuro-modeling for understanding and explaining some brain-related chaotic behavior.
Simul.
Dragos Calitoiu, B. John Oommen, Doron Nussbaum
2010 — conf
Modeling with non-cooperative agents: destructive search for randomly located objects.
SummerSim
Dragos Calitoiu, Dan Milici
2010 — conf
On using Simulation and Stochastic Learning for Pattern Recognition When Training Data is Unavailable - The Case of Disease Outbreak.
ICAART (1)
Dragos Calitoiu, B. John Oommen
2009 — conf
New search algorithm for randomly located objects: A non-cooperative agent based approach.
CISDA
Dragos Calitoiu
2008 — conf
Large scale modeling of the piriform cortex for analyzing antiepileptic effects.
SpringSim
Dragos Calitoiu, Doron Nussbaum, B. John Oommen
2008 — conf
Modeling and simulating a disease outbreak by learning a contagion parameter-based model.
SpringSim
B. John Oommen, Dragos Calitoiu
2008 J jnl
Spikes annihilation in the Hodgkin-Huxley neuron.
Biol. Cybern.
Dragos Calitoiu, B. John Oommen, Doron Nussbaum
2007 — conf
Analytic Results on the Hodgkin-Huxley Neural Network: Spikes Annihilation.
Canadian AI
Dragos Calitoiu, B. John Oommen, Doron Nussbaum
2007 J jnl
Desynchronizing a Chaotic Pattern Recognition Neural Network to Model Inaccurate Perception.
IEEE Trans. Syst. Man Cybern. Part B
Dragos Calitoiu, B. John Oommen, Doron Nussbaum
2007 — conf
Numerical Results on the Hodgkin-Huxley Neural Network: Spikes Annihilation.
BVAI
Dragos Calitoiu, B. John Oommen, Doron Nussbaum
2007 J jnl
Periodicity and stability issues of a
Pattern Anal. Appl.
Dragos Calitoiu, B. John Oommen, Doron Nussbaum
2007 — conf
Some Analysis on the Network of Bursting Neurons: Quantifying
Australian Conference on Artificial Intelligence
Dragos Calitoiu, B. John Oommen, Doron Nussbaum
2006 — conf
Stability issues in a Biological Model of Self and Non-self Immune Regulation.
CCECE
Dragos Calitoiu
2006 — conf
The stability of behavioral synchronization in a network of bursting neurons: a new explanation for epileptogenesis.
CCECE
Dragos Calitoiu
2005 — conf
Modeling Inaccurate Perception: Desynchronization Issues of a
SCIA
Dragos Calitoiu, B. John Oommen, Dorin Nusbaumm
2005 — conf
Neural Network-Based
CORES
Dragos Calitoiu, B. John Oommen, Doron Nussbaum