5 citations · 9 across the 5 of their papers we have counts for
5 papers
Concept Drift Visualization of SVM with Shifting Window
Honorius Galmeanu, Razvan Andonie
In machine learning, concept drift is an evolution of information that invalidates the current data model. It happens when the statistical properties of the input data change over…
Emotion Manipulation Through Music -- A Deep Learning Interactive Visual Approach
Adel N. Abdalla, Jared Osborne, Razvan Andonie
Music evokes emotion in many people. We introduce a novel way to manipulate the emotional content of a song using AI tools. Our goal is to achieve the desired emotion while leaving…
Transfer Entropy in Graph Convolutional Neural Networks
Adrian Moldovan, Angel Caţaron, Răzvan Andonie
Graph Convolutional Networks (GCN) are Graph Neural Networks where the convolutions are applied over a graph. In contrast to Convolutional Neural Networks, GCN's are designed to pe…
Learning in Convolutional Neural Networks Accelerated by Transfer Entropy
Adrian Moldovan, Angel Caţaron, Răzvan Andonie
Recently, there is a growing interest in applying Transfer Entropy (TE) in quantifying the effective connectivity between artificial neurons. In a feedforward network, the TE can b…
Information Plane Analysis Visualization in Deep Learning via Transfer Entropy
Adrian Moldovan, Angel Cataron, Razvan Andonie
In a feedforward network, Transfer Entropy (TE) can be used to measure the influence that one layer has on another by quantifying the information transfer between them during train…