Active learning (AL) attempts to maximize a model's performance gain while annotating the
fewest samples possible. Deep learning (DL) is greedy for data and requires a large amount …

Sentiment Analysis (SA), also called Opinion Mining, is currently one of the most studied
research fields. It aims to analyze people's sentiments, opinions, attitudes, emotions, etc …

Accurate detection and classification of breast cancer is a critical task in medical imaging
due to the complexity of breast tissues. Due to automatic feature extraction ability, deep …

With the increasing development of Web 2.0, such as social media and online businesses,
the need for perception of opinions, attitudes, and emotions grows rapidly. Sentiment …

We propose a new active learning strategy designed for deep neural networks. The goal is
to minimize the number of data annotation queried from an oracle during training. Previous …

Sentiment analysis and opinion mining is the field of study that analyzes people's opinions,
sentiments, evaluations, attitudes, and emotions from written language. It is one of the most …

While logistic sigmoid neurons are more biologically plausible than hyperbolic tangent
neurons, the latter work better for training multi-layer neural networks. This paper shows that …

Deep learning has been shown to achieve outstanding performance in a number of
challenging real-world applications. However, most of the existing works assume a fixed set …

The paper categorizes and reviews the state-of-the-art approaches to the partially
supervised learning (PSL) task. Special emphasis is put on the fields of pattern recognition …

Innate immunity represents an important system with a variety of vital processes at the core
of many diseases. In recent years, the central role of the Nod-like receptor (NLR) protein …