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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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Application of the preference learning model to a human resources selection task., , and . CIDM, page 203-210. IEEE, (2009)The Role of Architectural and Learning Constraints in Neural Network Models: A Case Study on Visual Space Coding., , and . Frontiers Comput. Neurosci., (2017)A developmental approach for training deep belief networks., , , and . CoRR, (2022)A Systematic Assessment of Feature Extraction Methods for Robust Prediction of Neuropsychological Scores from Functional Connectivity Data., , , and . BI, volume 12241 of Lecture Notes in Computer Science, page 29-40. Springer, (2020)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)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)Cognition-Based Networks: A New Perspective on Network Optimization Using Learning and Distributed Intelligence., , , , and . IEEE Access, (2015)A comparison of feature extraction methods for prediction of neuropsychological scores from functional connectivity data of stroke patients., , , and . Brain Informatics, 8 (1): 8 (2021)QoE Multi-Stage Machine Learning for Dynamic Video Streaming., , , , , and . IEEE Trans. Cogn. Commun. Netw., 4 (1): 146-161 (2018)Parallelization of Deep Networks., , and . ESANN, (2012)