AI Medical Compendium Topic:
Semantics

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Depthwise Nonlocal Module for Fast Salient Object Detection Using a Single Thread.

IEEE transactions on cybernetics
Recently, deep convolutional neural networks have achieved significant success in salient object detection. However, existing state-of-the-art methods require high-end GPUs to achieve real-time performance, which makes it hard to adapt to low cost or...

EMPAIA App Interface: An open and vendor-neutral interface for AI applications in pathology.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Artificial intelligence (AI) apps hold great potential to make pathological diagnoses more accurate and time efficient. Widespread use of AI in pathology is hampered by interface incompatibilities between pathology software....

Unsupervised Event Graph Representation and Similarity Learning on Biomedical Literature.

Sensors (Basel, Switzerland)
The automatic extraction of biomedical events from the scientific literature has drawn keen interest in the last several years, recognizing complex and semantically rich graphical interactions otherwise buried in texts. However, very few works revolv...

Event parsing and the origins of grammar.

Wiley interdisciplinary reviews. Cognitive science
How did grammar evolve? Perhaps a better way to ask the question is what kind of cognition is needed to enable grammar. The present analysis departs from the observation that linguistic communication is structured in terms of agents and patients, a r...

MedTAG: a portable and customizable annotation tool for biomedical documents.

BMC medical informatics and decision making
BACKGROUND: Semantic annotators and Natural Language Processing (NLP) methods for Named Entity Recognition and Linking (NER+L) require plenty of training and test data, especially in the biomedical domain. Despite the abundance of unstructured biomed...

A Multi-RNN Research Topic Prediction Model Based on Spatial Attention and Semantic Consistency-Based Scientific Influence Modeling.

Computational intelligence and neuroscience
Computer science discipline includes many research fields, which mutually influence and promote each other's development. This poses two great challenges of predicting the research topics of each research field. One is how to model fine-grained topic...

Metaknowledge Enhanced Open Domain Question Answering with Wiki Documents.

Sensors (Basel, Switzerland)
The commonly-used large-scale knowledge bases have been facing challenges in open domain question answering tasks which are caused by the loose knowledge association and weak structural logic of triplet-based knowledge. To find a way out of this dile...

Fast writer adaptation with style extractor network for handwritten text recognition.

Neural networks : the official journal of the International Neural Network Society
Writing style is an abstract attribute in handwritten text. It plays an important role in recognition systems and is not easy to define explicitly. Considering the effect of writing style, a writer adaptation method is proposed to transform a writer-...

LIO-CSI: LiDAR inertial odometry with loop closure combined with semantic information.

PloS one
Accurate and reliable state estimation and mapping are the foundation of most autonomous driving systems. In recent years, researchers have focused on pose estimation through geometric feature matching. However, most of the works in the literature as...

MRA-Net: Improving VQA Via Multi-Modal Relation Attention Network.

IEEE transactions on pattern analysis and machine intelligence
Visual Question Answering (VQA) is a task to answer natural language questions tied to the content of visual images. Most recent VQA approaches usually apply attention mechanism to focus on the relevant visual objects and/or consider the relations be...