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Cognition-Based Networks: A New Perspective on Network Optimization Using Learning and Distributed Intelligence.

, , , , and . IEEE Access, (2015)

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A machine learning approach to QoE-based video admission control and resource allocation in wireless systems., , , , , , and . Med-Hoc-Net, page 31-38. IEEE, (2014)Distinct representations of numerical and non-numerical order in the human intraparietal sulcus revealed by multivariate pattern recognition., , and . NeuroImage, 56 (2): 674-680 (2011)Learning Orthographic Structure With Sequential Generative Neural Networks., , , and . Cogn. Sci., 40 (3): 579-606 (2016)Perception of visual numerosity in humans and machines., , , and . CoRR, (2019)A tool for the integration of new VHDL-AMS models in SPICE., , , and . ISCAS (4), page 637-640. IEEE, (2004)Explicit versus Implicit Processing of Representational Space in Neglect: Dissociations in Accessing the Mental Number Line., , , , and . J. Cognitive Neuroscience, 18 (4): 680-688 (2006)Prediction of Neuropsychological Scores from Functional Connectivity Matrices Using Deep Autoencoders., , , and . BI, volume 13406 of Lecture Notes in Computer Science, page 140-151. Springer, (2022)Numerosity Representation in InfoGAN: An Empirical Study., , , and . IWANN (2), volume 11507 of Lecture Notes in Computer Science, page 49-60. Springer, (2019)A Comparison of Shallow and Deep Learning Methods for Predicting Cognitive Performance of Stroke Patients From MRI Lesion Images., , , , , and . Frontiers Neuroinformatics, (2019)Probabilistic Models and Generative Neural Networks: Towards an Unified Framework for Modeling Normal and Impaired Neurocognitive Functions., and . Frontiers Comput. Neurosci., (2016)