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Probabilistic Models and Generative Neural Networks: Towards an Unified Framework for Modeling Normal and Impaired Neurocognitive Functions.

, and . Frontiers Comput. Neurosci., (2016)

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Emergence of Network Motifs in Deep Neural Networks., , and . CoRR, (2019)Can neural networks do arithmetic? A survey on the elementary numerical skills of state-of-the-art deep learning models.. CoRR, (2023)Distributed Reinforcement Learning for Flexible and Efficient UAV Swarm Control., , , , , , and . CoRR, (2021)Long-Term Prediction of Physical Interactions: A Challenge for Deep Generative Models., , and . LOD (1), volume 12565 of Lecture Notes in Computer Science, page 83-94. Springer, (2020)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 Comparison of Recurrent and Convolutional Deep Learning Architectures for EEG Seizure Forecasting., , and . BIOSTEC (1), page 583-590. SCITEPRESS, (2024)Combining Denoising Autoencoders and Dynamic Programming for Acoustic Detection and Tracking of Underwater Moving Targets., and . Sensors, 20 (10): 2945 (2020)Learning Orthographic Structure With Sequential Generative Neural Networks., , , and . Cogn. Sci., 40 (3): 579-606 (2016)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)Perception of visual numerosity in humans and machines., , , and . CoRR, (2019)