With the rapid development of the Internet industry, sentiment analysis has grown into one of
the popular areas of natural language processing (NLP). Through it, the implicit emotion in …

A fundamental problem in data mining is to effectively build robust classifiers in the presence
of skewed data distributions. Class imbalance classifiers are trained specifically for skewed …

Machines are continually being channelized in the current era of automation to deliver
accurate interpretations of what people communicate on social media. The human species …

Instance transfer approaches consider source and target data together during the training
process, and borrow examples from the source domain to augment the training data, when …

The information sharing between a sender & receiver for exchanging data are becoming
popular trend in young generation [1]. Due to easily availability of web connectivity, sharing …

Training vision-based pedestrian detectors using synthetic datasets (virtual world) is a useful
technique to collect automatically the training examples with their pixelwise ground truth …

As machine learning methods extend to more complex and diverse set of problems,
situations arise where the complexity and availability of data presents a situation where the …

In the application of acoustic emission (AE) technology, operating frequency and sensitivity
of sensor has a decisive role in the results of AE test, and AE Calibration serves as the basis …