Artificial Intelligence in Bioinformatics: From Omics Analysis to Deep Learning and Network
Mining reviews the main applications of the topic, from omics analysis to deep learning and …

Traditional features and pipelined algorithms ignore the subspace semantic information and
different information complementarity of regional bullying text when describing and …

Capsule Networks (CapsNets) have been re-introduced as a more compact and
interpretable alternative to standard deep neural networks. While recent efforts have proved …

Recent advancements in information technology have ushered a new wave of systems
integrating Internet technology with sensing, wireless communication, and computational …

摘要近年来, 随着人工智能与大数据技术的发展, 深度神经网络在语音识别, 自然语言处理,
图像理解, 视频分析等应用领域取得了突破性进展. 深度神经网络的模型层数多 …

Information is everywhere, and sometimes we have no idea if what we read, watch or listen
is accurate, real or authentic. This paper focuses on detecting deep learning generated …

Glaucoma is an eye disease responsible for the second most common cause of blindness in
the world. The need to detect this disease in its early stages is notorious, considering that …

Pattern recognition from two‐dimensional (2D) images is an indispensable tache in
computer vision. However, one legacy hinders its progress: multifarious visual distortions …

The routing-by-agreement mechanism in capsule networks (CapsNets) is used to build
visual hierarchical relationships with a characteristic of assigning parts to wholes. The …

COVID-19 preventive measures have been a hindrance to millions of people over the globe
not only affecting their daily routine but also affecting the mental stability. Among several …