AIMC Topic: Semantics

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DREAM: Drug-drug interaction extraction with enhanced dependency graph and attention mechanism.

Methods (San Diego, Calif.) Feb 15, 2022
Drug-drug interactions (DDIs) aim at describing the effect relations produced by a combination of two or more drugs. It is an important semantic processing task in the field of bioinformatics such as pharmacovigilance and clinical research. Recently,...
Neural Networks, Computer Computational Biology Semantics Drug Interactions Data Mining
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ISSMF: Integrated semantic and spatial information of multi-level features for automatic segmentation in prenatal ultrasound images.

Artificial intelligence in medicine Feb 15, 2022
As an effective way of routine prenatal diagnosis, ultrasound (US) imaging has been widely used recently. Biometrics obtained from the fetal segmentation shed light on fetal health monitoring. However, the segmentation in US images has strict require...
Semantics Neural Networks, Computer Female Ultrasonography Pregnancy Humans Ultrasonography, Prenatal Image Processing, Computer-Assisted
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Dynamic Heterogeneous User Generated Contents-Driven Relation Assessment via Graph Representation Learning.

Sensors (Basel, Switzerland) Feb 11, 2022
Cross-domain decision-making systems are suffering a huge challenge with the rapidly emerging uneven quality of user-generated data, which poses a heavy responsibility to online platforms. Current content analysis methods primarily concentrate on non...
Machine Learning Learning Neural Networks, Computer Cluster Analysis Semantics
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Cross-Modal Object Detection Based on a Knowledge Update.

Sensors (Basel, Switzerland) Feb 10, 2022
As an important field of computer vision, object detection has been studied extensively in recent years. However, existing object detection methods merely utilize the visual information of the image and fail to mine the high-level semantic informatio...
Semantics Knowledge Knowledge Bases Neural Networks, Computer Algorithms
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The BMS-LM ontology for biomedical data reporting throughout the lifecycle of a research study: From data model to ontology.

Journal of biomedical informatics Feb 4, 2022
Biomedical research data reuse and sharing is essential for fostering research progress. To this aim, data producers need to master data management and reporting through standard and rich metadata, as encouraged by open data initiatives such as the F...
Data Curation Animals Metadata Semantics Research Design Biological Ontologies Biomedical Research
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From Perception to Navigation in Environments with Persons: An Indoor Evaluation of the State of the Art.

Sensors (Basel, Switzerland) Feb 4, 2022
Research in the field of social robotics is allowing service robots to operate in environments with people. In the aim of realizing the vision of humans and robots coexisting in the same environment, several solutions have been proposed to (1) percei...
Perception Movement Robotics Humans Semantics
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Clinical language search algorithm from free-text: facilitating appropriate imaging.

BMC medical imaging Feb 4, 2022
BACKGROUND: The comprehensiveness and maintenance of the American College of Radiology (ACR) Appropriateness Criteria (AC) makes it a unique resource for evidence-based clinical imaging decision support, but it is underutilized by clinicians. To faci...
Female Aged Humans Male Middle Aged Young Adult Adult Radiology Semantics Search Engine Natural Language Processing Diagnostic Imaging Adolescent
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Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition.

IEEE transactions on pattern analysis and machine intelligence Feb 3, 2022
Recognizing multiple labels of an image is a practical yet challenging task, and remarkable progress has been achieved by searching for semantic regions and exploiting label dependencies. However, current works utilize RNN/LSTM to implicitly capture ...
Neural Networks, Computer Semantics Machine Learning Algorithms
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Semantic Object Accuracy for Generative Text-to-Image Synthesis.

IEEE transactions on pattern analysis and machine intelligence Feb 3, 2022
Generative adversarial networks conditioned on textual image descriptions are capable of generating realistic-looking images. However, current methods still struggle to generate images based on complex image captions from a heterogeneous domain. Furt...
Humans Image Processing, Computer-Assisted Semantics Neural Networks, Computer Algorithms
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Fused Projection-Based Point Cloud Segmentation.

Sensors (Basel, Switzerland) Feb 2, 2022
Semantic segmentation is used to enable a computer to understand its surrounding environment. In image processing, images are partitioned into segments for this purpose. State-of-the-art methods make use of Convolutional Neural Networks to segment a ...
Semantics Neural Networks, Computer Image Processing, Computer-Assisted
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