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Dragos Calitoiu
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2020 – today
- 2023
- [j6]Thomas Idhaya
, A. Suruliandi, Dragos Calitoiu, S. P. Raja:
Calibrating the classifier for protein family prediction with protein sequence using machine learning techniques: An empirical investigation. Int. J. Wavelets Multiresolution Inf. Process. 21(3): 2250045:1-2250045:34 (2023) - 2022
- [j5]Dragos Calitoiu
Supervised and Unsupervised Machine Learning Methods Applied for Enrolling Women in the Canadian Armed Forces. SN Comput. Sci. 3(3): 250 (2022) - 2021
- [c18]Robert M. Bryce, Ryuichi Ueno, Christopher McDonald, Dragos Calitoiu:
Tailored Military Recruitment through Machine Learning Algorithms. DeLTA 2021: 87-92 - [c17]Étienne Vincent
Reporting and Comparing Rates of Personnel Flow. ICORES (Selected Papers) 2021: 107-127 - [c16]Étienne Vincent, Stephen Okazawa, Dragos Calitoiu:
Attrition, Promotion, Transfer: Reporting Rates in Personnel Operations Research. ICORES 2021: 115-122 - [c15]Ryuichi Ueno, Peter Boyd, Dragos Calitoiu:
Identifying Geographical Areas using Machine Learning for Enrolling Women in the Canadian Armed Forces. ICORES 2021: 307-316 - 2020
- [c14]Ryuichi Ueno, Dragos Calitoiu:
Forecasting Attrition from the Canadian Armed Forces using Multivariate LSTM. ICMLA 2020: 753-758
2010 – 2019
- 2019
- [c13]Ryuichi Ueno, Robert M. Bryce, Dragos Calitoiu:
Ranking Clusters of Postal Codes to Improve Recruitment in the Canadian Armed Forces. ICMLA 2019: 1192-1197 - 2012
- [j4]Dragos Calitoiu, B. John Oommen
Large-scale neuro-modeling for understanding and explaining some brain-related chaotic behavior. Simul. 88(11): 1316-1337 (2012) - 2010
- [c12]Dragos Calitoiu, B. John Oommen:
On using Simulation and Stochastic Learning for Pattern Recognition When Training Data is Unavailable - The Case of Disease Outbreak. ICAART (1) 2010: 45-52 - [c11]Dragos Calitoiu, Dan Milici:
Modeling with non-cooperative agents: destructive search for randomly located objects. SummerSim 2010: 102-109
2000 – 2009
- 2009
- [c10]Dragos Calitoiu:
New search algorithm for randomly located objects: A non-cooperative agent based approach. CISDA 2009: 1-6 - 2008
- [j3]Dragos Calitoiu, B. John Oommen
Spikes annihilation in the Hodgkin-Huxley neuron. Biol. Cybern. 98(3): 239-257 (2008) - [c9]B. John Oommen, Dragos Calitoiu:
Modeling and simulating a disease outbreak by learning a contagion parameter-based model. SpringSim 2008: 547-555 - [c8]Dragos Calitoiu, Doron Nussbaum, B. John Oommen:
Large scale modeling of the piriform cortex for analyzing antiepileptic effects. SpringSim 2008: 599-608 - 2007
- [j2]Dragos Calitoiu, B. John Oommen
Periodicity and stability issues of a chaotic pattern recognition neural network. Pattern Anal. Appl. 10(3): 175-188 (2007) - [j1]Dragos Calitoiu, B. John Oommen
Desynchronizing a Chaotic Pattern Recognition Neural Network to Model Inaccurate Perception. IEEE Trans. Syst. Man Cybern. Part B 37(3): 692-704 (2007) - [c7]Dragos Calitoiu, B. John Oommen, Doron Nussbaum:
Analytic Results on the Hodgkin-Huxley Neural Network: Spikes Annihilation. Canadian AI 2007: 320-331 - [c6]Dragos Calitoiu, B. John Oommen, Doron Nussbaum:
Some Analysis on the Network of Bursting Neurons: Quantifying Behavioral Synchronization. Australian Conference on Artificial Intelligence 2007: 110-119 - [c5]Dragos Calitoiu, B. John Oommen
Numerical Results on the Hodgkin-Huxley Neural Network: Spikes Annihilation. BVAI 2007: 378-387 - 2006
- [c4]Dragos Calitoiu:
The stability of behavioral synchronization in a network of bursting neurons: a new explanation for epileptogenesis. CCECE 2006: 1735-1738 - [c3]Dragos Calitoiu:
Stability issues in a Biological Model of Self and Non-self Immune Regulation. CCECE 2006: 1739-1742 - 2005
- [c2]Dragos Calitoiu, B. John Oommen, Doron Nussbaum:
Neural Network-Based Chaotic Pattern Recognition - Part 2: Stability and Algorithmic Issues. CORES 2005: 3-16 - [c1]Dragos Calitoiu, B. John Oommen, Dorin Nusbaumm:
Modeling Inaccurate Perception: Desynchronization Issues of a Chaotic Pattern Recognition Neural Network. SCIA 2005: 821-830
Coauthor Index
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