RUL estimation plays a vital role in effectively scheduling maintenance operations. Unfortunately, it suffers from severe data imbalance where machines near their end of life is rare. Additionally, the produced by machine can only be labeled after failed. Both these points make using data-driven methods for difficult. Semi-Supervised Learning (SSL) incorporate unlabeled that did not yet fail in...

Self-supervised learning has attracted plenty of recent research interest. However, most works for self-supervision in speech are typically unimodal and there been limited work that studies the interaction between audio visual modalities cross-modal self-supervision. This article (1) investigates via face reconstruction to guide representations; (2) proposes an audio-only approach representatio...

In recent years, plentiful evidence illustrates that Graph Convolutional Networks (GCNs) achieve extraordinary accomplishments on the node classification task. However, GCNs may be vulnerable to adversarial attacks label-scarce dynamic graphs. Many existing works aim strengthen robustness of GCNs; for instance, training is used shield against malicious perturbations. these fail graphs which lab...

Feature selection is an important process in machine learning. It builds interpretable and robust model by selecting the features that contribute most to prediction target. However, mature feature algorithms, including supervised semi-supervised, fail fully exploit complex potential structure between features. We believe these structures are very for process, especially when labels lacking data...

We introduce an approach to train neural network models for visual object localization using a small training set, labeled with ground truth positions and large unlabeled one. assume that the be localized emits sound, which is perceived by microphone rigidly affixed camera. This information used as target of cross-modal pretext task: predicting sound features from camera frames. By solving task...

The concept of self-replicating machines was introduced more than fifty years ago by John von Neumann. However, a fully autonomous self-replicating robot has yet to be implemented. This paper discusses our ongoing research on self-replicating robots. Here we describe a semiautonomous prototype that can demonstrate replication under human supervision. This work builds on our previous results in ...