Abstract The presence of imbalanced classes is more and common in practical applications it known to heavily compromise the learning process. In this paper we propose a new method aimed at addressing issue binary supervised classification. Re-balancing class sizes has turned out be fruitful strategy overcome problem. Our proposal performs re-balancing through matrix sketching. Matrix sketching ...

Sequential sensor data is generated in a wide variety of real-world applications. A fundamental machine learning challenge involves effective classifiers for such sequential data. While deep has led to impressive performance gains recent years within domains as speech, this relied on the availability large datasets sequences with high-quality labels. In many applications, however, associated cl...