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Found 6 papers, 1 papers with code
Biologically Inspired Semantic Lateral Connectivity for Convolutional Neural Networks
Lateral connections play an important role for sensory processing in visual cortex by supporting discriminable neuronal responses even to highly similar features.
Can we detect harmony in artistic compositions? A machine learning approach
Harmony in visual compositions is a concept that cannot be defined or easily expressed mathematically, even by humans.
A Neural Attention Model for Adaptive Learning of Social Friends' Preferences
Furthermore, we study the effect of the proposed social behavioral attention mechanism and show that it is a key factor to our model's performance.
Adaptive Deep Learning of Cross-Domain Loss in Collaborative Filtering
In this paper, we propose an adaptive deep learning strategy for cross-domain recommendation, referred to as ADC.
Bagged Boosted Trees for Classification of Ecological Momentary Assessment Data
Ecological Momentary Assessment (EMA) data is organized in multiple levels (per-subject, per-day, etc.)
AMSOM: Adaptive Moving Self-organizing Map for Clustering and Visualization
Self-Organizing Map (SOM) is a neural network model which is used to obtain a topology-preserving mapping from the (usually high dimensional) input/feature space to an output/map space of fewer dimensions (usually two or three in order to facilitate visualization).
