Ali Rodan
Citata da
Citata da
Minimum complexity echo state network
A Rodan, P Tino
IEEE transactions on neural networks 22 (1), 131-144, 2010
Learning in the model space for cognitive fault diagnosis
H Chen, P Tino, A Rodan, X Yao
IEEE Transactions on Neural Networks and Learning Systems, 1-1, 2013
Simple Deterministically Constructed Cycle Reservoirs with Regular Jumps
A Rodan, P Tiňo
Neural Computation, MIT Press , 2012, 2012
Artificial Neural Networks for Surface Ozone Prediction: Models and Analysis.
H Faris, M Alkasassbeh, A Rodan
Polish Journal of Environmental Studies 23 (2), 2014
Short term memory in input-driven linear dynamical systems
P Tiňo, A Rodan
Neurocomputing 112, 58-63, 2013
A Support Vector Machine Approach for Churn Prediction in Telecom Industry
A Rodan, H Faris, J Alsakran, O Al-Kadi
INFORMATION 17 (8), 3961-3970, 2014
Simple deterministically constructed recurrent neural networks
A Rodan, P Tiňo
International Conference on Intelligent Data Engineering and Automated …, 2010
Negative Correlation Learning for Customer Churn Prediction: A Comparison Study
A Rodan, A Fayyoumi, H Faris, J Alsakran, O Al-Kadi
The Scientific World Journal 2014 (Article ID 473283), 1-7, 2014
Bidirectional Reservoir Networks Trained using SVM+ Privileged Information for Manufacturing Process Modeling
A Rodan, A Sheta, H Faris
Soft Computing, 2016
Optimizing Feedforward Neural Networks Using Biogeography Based Optimization for E-Mail Spam Identification
A Rodan, H Faris, J Alqatawna
Int. J. Communications, Network and System Sciences 9, 19-28, 2016
Echo state network with SVM-readout for customer churn prediction
A Rodan, H Faris
2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing …, 2015
An efficient hybrid filter and evolutionary wrapper approach for sentiment analysis of various topics on Twitter
MA Hassonah, R Al-Sayyed, A Rodan, AZ Ala’M, I Aljarah, H Faris
Knowledge-Based Systems 192, 105353, 2020
Polar particle swarm algorithm for solving cloud data migration optimization problem
RM Al-Sayyed, HN Fakhouri, A Rodan, C Pattinson
Modern Applied Science 11 (8), 98, 2017
Cycle reservoir with regular jumps for forecasting ozone concentrations: two real cases from the east of Croatia
A Sheta, H Faris, A Rodan, E Kovač-Andrić, AZ Ala’M
Air Quality, Atmosphere & Health 11 (5), 559-569, 2018
A Survey of Concepts Location Enhancement for Program Comprehension and Maintenance
N Alhindawi, J Alsakran, A Rodan, H Faris
Journal of Software Engineering and Applications 7 (5), 413-421, 2014
Pattern Recognition of Thermal Images for Monitoring of Breathing Function
F Al-Obaisi, J Alqatawna, H Faris, A Rodan, O AlKadi
International Journal of Control and Automation 8 (6), 381-392, 2015
Credit Risk Evaluation Using Cycle Reservoir Neural Networks with Support Vector Machines Readout
A Rodan, H Faris
Lecture Notes on Computer Science lNCS/LNAI, 595-604, 2016
Personalized e-advertisement and experience: recommending user targeted ads
DA Al Qudah, AI Cristea, SH Bazdarevic, S Al-Saqqa, A Rodan, W Yang
2015 IEEE 12th International Conference on e-Business Engineering, 56-61, 2015
Empirical evaluation of the cycle reservoir with regular jumps for time series forecasting: a comparison study
MH Qasem, H Faris, A Rodan, A Sheta
Computer Science On-line Conference, 115-124, 2017
Negatively Correlated Echo State Networks
A Rodan, P Tino
19th European Symposium on Artificial Neural Networks -ESANN 2011, 2011
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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