Deep Learning is one of the newest trends in Machine Learning and Artificial Intelligence
research. It is also one of the most popular scientific research trends now-a-days. Deep …

Multi-view learning (MVL) is a rapidly evolving direction in the field of machine learning.
Despite the positive results, most algorithms that combine multi-view learning with twin …

With the advent of the era of big data and information technology, deep learning (DL) has
become a hot trend in the research field of artificial intelligence (AI). The use of deep …

Feedforward deep neural networks (DNNs), artificial neural networks with multiple hidden
layers, have recently demonstrated a record-breaking performance in multiple areas of …

The advent of new devices, technology, machine learning techniques, and the availability of
free large speech corpora results in rapid and accurate speech recognition. In the last two …

This paper proposes a new Quantum Spatial Graph Convolutional Neural Network
(QSGCNN) model that can directly learn a classification function for graphs of arbitrary sizes …

In this paper, we develop a novel backtrackless aligned-spatial graph convolutional network
(BASGCN) model to learn effective features for graph classification. Our idea is to transform …

This work presents a new approach to speech recognition, based on the specific coding of
time and frequency characteristics of speech. The research proposed the use of …

Visible facial images provide geometric and appearance patterns of facial expressions and
are sensitive to illumination changes. Thermal facial images record facial temperature …

Graph convolutional networks (GCNs) are powerful tools for graph structure data analysis.
One main drawback arising in most existing GCN models is that of the oversmoothing …