Artificial Intelligence (AI) is one of the hottest topics in our society, especially when it comes
to solving data-analysis problems. Industry are conducting their digital shifts, and AI is …

Visualization is essential for data analysis and it is particularly challenging for data in high-
dimensional space, especially for temporal information. Many techniques have been …

We introduce a feature extraction scheme from a biologically inspired model using receptive
fields (RFs) to point-light human motion patterns to form an action descriptor. The Echo State …

The deep recurrent neural networks (RNNs) and their associated gated neurons, such as
Long Short-Term Memory (LSTM) have demonstrated a continued and growing success …

Nowadays, industrial companies are engaging their global transition toward the fourth
industrial revolution (the so-called Industry 4.0). The main objective is to increase the Overall …

Motion-based applications are becoming increasingly popular among children and require
accurate motion recognition to ensure meaningful interactive experiences. However, motion …

One major problem of time series analysis, particularly of a multivariate time series, is to find
their feature representations. Especially, with the emerging of deep recurrent neural …