| Year |
Citation |
Score |
| 2019 |
Serpen G, Debnath JK. Design and performance evaluation of a parking management system for automated, multi-story and robotic parking structure International Journal of Intelligent Computing and Cybernetics. 12: 444-465. DOI: 10.1108/Ijicc-02-2019-0017 |
0.339 |
|
| 2016 |
Serpen G, Liu L. Parallel and distributed neurocomputing with wireless sensor networks Neurocomputing. 173: 1169-1182. DOI: 10.1016/J.Neucom.2015.08.074 |
0.62 |
|
| 2016 |
Li J, Serpen G. Adaptive and intelligent wireless sensor networks through neural networks: an illustration for infrastructure adaptation through Hopfield network Applied Intelligence. 45: 343-362. DOI: 10.1007/S10489-016-0761-7 |
0.704 |
|
| 2015 |
Debnath JK, Serpen G. Real-Time Optimal Scheduling of a Group of Elevators in a Multi-Story Robotic Fully-Automated Parking Structure Procedia Computer Science. 61: 507-514. DOI: 10.1016/J.Procs.2015.09.202 |
0.336 |
|
| 2015 |
Assaad FS, Serpen G. Transformation based Score Fusion Algorithm for Multi-modal Biometric User Authentication through Ensemble Classification Procedia Computer Science. 61: 410-415. DOI: 10.1016/J.Procs.2015.09.175 |
0.336 |
|
| 2015 |
Serpen G, Dou C. Automated robotic parking systems: real-time, concurrent and multi-robot path planning in dynamic environments Applied Intelligence. 42: 231-251. DOI: 10.1007/S10489-014-0598-X |
0.324 |
|
| 2014 |
Serpen G, Gao Z. Complexity analysis of multilayer perceptron neural network embedded into a wireless sensor network Procedia Computer Science. 36: 192-197. DOI: 10.1016/J.Procs.2014.09.078 |
0.614 |
|
| 2014 |
Serpen G, Gao Z. Empirical model development for message delay and drop in wireless sensor networks Procedia Computer Science. 36: 353-358. DOI: 10.1016/J.Procs.2014.09.005 |
0.563 |
|
| 2013 |
Serpen G, Li J, Liu L, Gao Z. WSN-ANN: Parallel and distributed neurocomputing with wireless sensor networks Proceedings of the International Joint Conference On Neural Networks. DOI: 10.1109/IJCNN.2013.6706764 |
0.554 |
|
| 2013 |
Serpen G, Li J, Liu L. AI-WSN: Adaptive and intelligent wireless sensor network Procedia Computer Science. 20: 406-413. DOI: 10.1016/J.Procs.2013.09.294 |
0.661 |
|
| 2013 |
Baumgartner D, Serpen G. Performance of global-local hybrid ensemble versus boosting and bagging ensembles International Journal of Machine Learning and Cybernetics. 4: 301-317. DOI: 10.1007/S13042-012-0094-8 |
0.302 |
|
| 2012 |
Serpen G, Li J. Assessing time complexity of applications for tinyos-mica wireless sensor networks in TOSSIM Emulator Procedia Computer Science. 12: 380-385. DOI: 10.1016/J.Procs.2012.09.090 |
0.645 |
|
| 2012 |
Li J, Serpen G. Simulating heterogeneous and larger-scale wireless sensor networks with TOSSIM TinyOS emulator Procedia Computer Science. 12: 374-379. DOI: 10.1016/J.Procs.2012.09.089 |
0.639 |
|
| 2012 |
Serpen G. Preface to part V distributed networks Procedia Computer Science. 12: 373. DOI: 10.1016/J.Procs.2012.09.088 |
0.521 |
|
| 2011 |
Li J, Serpen G. TOSSIM simulation of wireless sensor network serving as hardware platform for Hopfield neural net configured for max independent set Procedia Computer Science. 6: 408-412. DOI: 10.1016/J.Procs.2011.08.076 |
0.686 |
|
| 2011 |
Li J, Serpen G. nesC-TinyOS model for parallel and distributed computation of max independent set by Hopfield network on wireless sensor network Procedia Computer Science. 6: 396-401. DOI: 10.1016/J.Procs.2011.08.074 |
0.698 |
|
| 2011 |
Serpen G, Li J. Parallel and distributed computations of maximum independent set by a Hopfield neural net embedded into a wireless sensor network Procedia Computer Science. 6: 390-395. DOI: 10.1016/J.Procs.2011.08.073 |
0.701 |
|
| 2010 |
Serpen G, Riesen M. Knowledge Discovery for Query Formulation for Validation of a Bayesian Belief Network Journal of Intelligent Learning Systems and Applications. 2: 156-166. DOI: 10.4236/Jilsa.2010.23019 |
0.433 |
|
| 2009 |
Riesen M, Serpen G. A Bayesian belief network classifier for predicting victimization in national crime victimization survey Proceedings of the 2009 International Conference On Artificial Intelligence, Icai 2009. 2: 648-652. |
0.35 |
|
| 2009 |
Serpen G. High-fidelity FEA simulation through linking with experiment data: A neural network methodology Proceedings of the 2009 International Conference On Artificial Intelligence, Icai 2009. 1: 65-68. |
0.36 |
|
| 2008 |
Serpen G, Tekkedil DK, Orra M. A knowledge-based artificial neural network classifier for pulmonary embolism diagnosis Computers in Biology and Medicine. 38: 204-220. PMID 18022148 DOI: 10.1016/J.Compbiomed.2007.10.001 |
0.398 |
|
| 2008 |
Serpen G. Hopfield network as static optimizer: Learning the weights and eliminating the guesswork Neural Processing Letters. 27: 1-15. DOI: 10.1007/S11063-007-9055-8 |
0.487 |
|
| 2008 |
Riesen M, Serpen G. Validation of a bayesian belief network representation for posterior probability calculations on national crime victimization survey Artificial Intelligence and Law. 16: 245-276. DOI: 10.1007/S10506-008-9064-6 |
0.402 |
|
| 2005 |
Serpen G. Empirical approximation for Lyapunov functions with artificial neural nets Proceedings of the International Joint Conference On Neural Networks. 2: 735-740. DOI: 10.1109/IJCNN.2005.1555943 |
0.387 |
|
| 2005 |
Serpen G. A heuristic and its mathematical analogue within artificial neural network adaptation context Neural Network World. 15: 129-136. |
0.415 |
|
| 2004 |
Geib JA, Serpen G. Computational promise of simultaneous recurrent network with a stochastic search mechanism Ieee International Conference On Neural Networks - Conference Proceedings. 3: 2239-2244. DOI: 10.1109/IJCNN.2004.1380969 |
0.398 |
|
| 2004 |
Serpen G. Managing spatio-temporal complexity in Hopfield neural network simulations for large-scale static optimization Mathematics and Computers in Simulation. 64: 279-293. DOI: 10.1016/J.Matcom.2003.09.023 |
0.483 |
|
| 2003 |
Hong J, Serpen G. A novel probabilistic neuro-classifier Proceedings of Spie - the International Society For Optical Engineering. 5253: 926-929. DOI: 10.1117/12.522206 |
0.376 |
|
| 2003 |
Serpen G, Xu Y. Weight initialization for simultaneous recurrent neural network trained with a fixed-point learning algorithm Neural Processing Letters. 17: 33-41. DOI: 10.1023/A:1022921127061 |
0.538 |
|
| 2003 |
Serpen G, Xu Y. Simultaneous recurrent neural network trained with non-recurrent backpropagation algorithm for static optimisation Neural Computing and Applications. 12: 1-9. DOI: 10.1007/S00521-003-0365-0 |
0.508 |
|
| 2003 |
Serpen G. Adaptive Hopfield network Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2714: 3-10. |
0.423 |
|
| 2002 |
Serpen G, Corra J. Training simultaneous recurrent neural network with resilient propagation for static optimization. International Journal of Neural Systems. 12: 203-18. PMID 12370962 DOI: 10.1142/S0129065702001199 |
0.479 |
|
| 2002 |
Bechtel J, Serpen G, Brown M. Passphrase Authentication Based On Typing Style Through An Art 2 Neural Network International Journal of Computational Intelligence and Applications. 2: 131-152. DOI: 10.1142/S146902680200052X |
0.528 |
|
| 2002 |
Serpen G, Xu Y. Stability of simultaneous recurrent neural network dynamics for static optimization Proceedings of the International Joint Conference On Neural Networks. 3: 2023-2028. |
0.426 |
|
| 2001 |
Serpen G, Patwardhan A, Geib J. The simultaneous recurrent neural network for addressing the scaling problem in static optimization. International Journal of Neural Systems. 11: 477-87. PMID 11709814 DOI: 10.1142/S012906570100062X |
0.5 |
|
| 2000 |
Serpen G, Livingston DL. Determination of weights for relaxation recurrent neural networks Neurocomputing. 34: 145-168. DOI: 10.1016/S0925-2312(00)00310-6 |
0.455 |
|
| 1999 |
Parvin A, Serpen G. Recurrent neural networks for structural optimization Computer-Aided Civil and Infrastructure Engineering. 14: 445-451. DOI: 10.1111/0885-9507.00162 |
0.558 |
|
| 1998 |
Serpen G, Livingston DL. Higher order neural nets for task planning in decomposed state spaces Intelligent Engineering Systems Through Artificial Neural Networks. 1998: 605-613. |
0.33 |
|
| 1997 |
Serpen G, Livingston DL, Parvin A. Determination of parameters in relaxation-search neural networks for optimization problems Ieee International Conference On Neural Networks - Conference Proceedings. 2: 1256-1259. DOI: 10.1109/ICNN.1997.616214 |
0.368 |
|
| 1997 |
Serpen G, Parvin A. On the performance of Hopfield network for graph search problem Neurocomputing. 14: 365-381. DOI: 10.1016/S0925-2312(96)00037-9 |
0.52 |
|
| 1996 |
Allred LG, Howard TR, Serpen G. On-the-fly neural network construction for repairing F-16 flight control panel using thermal imaging Proceedings of Spie. 2766: 284-294. DOI: 10.1117/12.235386 |
0.465 |
|
| 1991 |
Serpen G, Livingston DL. An adaptive constraint satisfaction network Conference Record - Asilomar Conference On Circuits, Systems &Amp; Computers. 1: 163-167. |
0.427 |
|
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