Buscar recursos académicos

Deep convolutional neural networks have performed remarkably well on many Computer Vision tasks. However, these networks are heavily reliant on big data to avoid overfitting. Overfitting refers to the phenomenon when a n...

Materias / palabras clave: Long-term potentiation; Neuroscience; Postsynaptic potential; Neurotransmission; Post-tetanic potentiation; Hippocampus; Synaptic augmentation; Synaptic plasticity; Metaplasticity; Synaptic fatigue; Chemistry; Neuronal m...

The way that information propagates in neural networks is of great importance. In this paper, we propose Path Aggregation Network (PANet) aiming at boosting information flow in proposal-based instance segmentation framew...

An approach for electronic structure calculations is described that generalizes both the pseudopotential method and the linear augmented-plane-wave (LAPW) method in a natural way. The method allows high-quality first-pri...

We study recently developed nonparametric methods for estimating the number of missing studies that might exist in a meta-analysis and the effect that these studies might have had on its outcome. These are simple rank-ba...