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GPU-advanced 3D electromagnetic simulations of superconductors in the Ginzburg-Landau formalism.

, , , , and . J. Comput. Phys., (2016)

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Quantum probabilistic associative memory architecture., , , and . Neurocomputing, (2019)Frankenstein PSO applied to neural network weights and architectures., and . IEEE Congress on Evolutionary Computation, page 2452-2456. IEEE, (2011)Hybrid K-Means and Improved Self-Adaptive Particle Swarm Optimization for Data Clustering., and . IJCNN, page 1-7. IEEE, (2019)Meta-learning approaches to selecting time series models., and . Neurocomputing, (2004)Progress in intelligent systems design., and . Neurocomputing, (2016)Semantic mapping and K-means applied to hybrid SOM-based document organization system construction., and . SAC, page 1112-1116. ACM, (2008)Active Generation of Training Examples in Meta-Regression., and . ICANN (1), volume 5768 of Lecture Notes in Computer Science, page 30-39. Springer, (2009)River Flow Forecasting with Constructive Neural Network., , and . Australian Conference on Artificial Intelligence, volume 3809 of Lecture Notes in Computer Science, page 1031-1036. Springer, (2005)Active selection of training instances for a random forest meta-learner., , , and . IJCNN, page 1-7. IEEE, (2013)Distinction Maximization Loss: Fast, Scalable, Turnkey, and Native Neural Networks Out-of-Distribution Detection simply by Replacing the SoftMax Loss., , , , , and . CoRR, (2019)