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Spiking Neural Networks for Cancer Gene Expression Time Series Modelling and Analysis.

, , и . ICONIP (1), том 11301 из Lecture Notes in Computer Science, стр. 625-634. Springer, (2018)

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Plamen Kasabov

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Nikola Schoofs

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Nikola Schulenberg

 

Другие публикации лиц с тем же именем

Genetic Algorithms for the Design of Fuzzy Neural Networks., и . ICONIP, стр. 793-796. IOA Press, (1998)A Hybrid Genetic Algorithm and Expectation Maximization Method for Global Gene Trajectory Clustering., , и . J. Bioinform. Comput. Biol., 3 (5): 1227-1242 (2005)Training spiking neural networks to associate spatio-temporal input-output spike patterns., , , и . Neurocomputing, (2013)Optimization of Spiking Neural Networks with dynamic synapses for spike sequence generation using PSO., , , , и . IJCNN, стр. 2969-2974. IEEE, (2011)Constructing Robust Liquid State Machines to Process Highly Variable Data Streams., , и . ICANN (1), том 7552 из Lecture Notes in Computer Science, стр. 604-611. Springer, (2012)Ontology-Based Framework for Personalized Diagnosis and Prognosis of Cancer Based on Gene Expression Data., и . ICONIP (2), том 4985 из Lecture Notes in Computer Science, стр. 846-855. Springer, (2007)String Pattern Recognition Using Evolving Spiking Neural Networks and Quantum Inspired Particle Swarm Optimization., , , и . ICONIP (2), том 5864 из Lecture Notes in Computer Science, стр. 611-619. Springer, (2009)Method for Training a Spiking Neuron to Associate Input-Output Spike Trains., , , и . EANN/AIAI (1), том 363 из IFIP Advances in Information and Communication Technology, стр. 219-228. Springer, (2011)Evolving spiking neural networks for spatio-and spectro-temporal pattern recognition.. IEEE Conf. of Intelligent Systems, стр. 27-32. IEEE, (2012)Enhancing recognition systems through an integrated processing of visual and audio information., , и . SMC, стр. 1591-1596. IEEE, (1998)