AIMC Topic: Semantics

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Mutual-Prototype Adaptation for Cross-Domain Polyp Segmentation.

IEEE journal of biomedical and health informatics Oct 5, 2021
Accurate segmentation of the polyps from colonoscopy images provides useful information for the diagnosis and treatment of colorectal cancer. Despite deep learning methods advance automatic polyp segmentation, their performance often degrades when ap...
Colonoscopy Semantics Humans Neural Networks, Computer
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Generalized Zero-Shot Chest X-Ray Diagnosis Through Trait-Guided Multi-View Semantic Embedding With Self-Training.

IEEE transactions on medical imaging Sep 30, 2021
Zero-shot learning (ZSL) is one of the most promising avenues of annotation-efficient machine learning. In the era of deep learning, ZSL techniques have achieved unprecedented success. However, the developments of ZSL methods have taken place mostly ...
Semantics X-Rays Radiography Machine Learning Phenotype
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Improving Ponzi Scheme Contract Detection Using Multi-Channel TextCNN and Transformer.

Sensors (Basel, Switzerland) Sep 26, 2021
With the development of blockchain technologies, many Ponzi schemes disguise themselves under the veil of smart contracts. The Ponzi scheme contracts cause serious financial losses, which has a bad effect on the blockchain. Existing Ponzi scheme cont...
Machine Learning Algorithms Semantics Neural Networks, Computer
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A Knowledge Graph Entity Disambiguation Method Based on Entity-Relationship Embedding and Graph Structure Embedding.

Computational intelligence and neuroscience Sep 23, 2021
The purpose of knowledge graph entity disambiguation is to match the ambiguous entities to the corresponding entities in the knowledge graph. Current entity ambiguity elimination methods usually use the context information of the entity and its attri...
Pattern Recognition, Automated Knowledge Bases Knowledge Neural Networks, Computer Semantics
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Unsupervised cross-lingual model transfer for named entity recognition with contextualized word representations.

PloS one Sep 21, 2021
Named entity recognition (NER) is one fundamental task in the natural language processing (NLP) community. Supervised neural network models based on contextualized word representations can achieve highly-competitive performance, which requires a larg...
Language Natural Language Processing Algorithms Recognition, Psychology Multilingualism Names Linguistics Humans Neural Networks, Computer Benchmarking Semantics
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Graph Attention Feature Fusion Network for ALS Point Cloud Classification.

Sensors (Basel, Switzerland) Sep 15, 2021
Classification is a fundamental task for airborne laser scanning (ALS) point cloud processing and applications. This task is challenging due to outdoor scenes with high complexity and point clouds with irregular distribution. Many existing methods ba...
Radionuclide Imaging Semantics Lasers Photogrammetry Neural Networks, Computer
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ConAnomaly: Content-Based Anomaly Detection for System Logs.

Sensors (Basel, Switzerland) Sep 13, 2021
Enterprise systems typically produce a large number of logs to record runtime states and important events. Log anomaly detection is efficient for business management and system maintenance. Most existing log-based anomaly detection methods use log pa...
Semantics Neural Networks, Computer Machine Learning Speech
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Depth Estimation from Light Field Geometry Using Convolutional Neural Networks.

Sensors (Basel, Switzerland) Sep 10, 2021
Depth estimation based on light field imaging is a new methodology that has succeeded the traditional binocular stereo matching and depth from monocular images. Significant progress has been made in light-field depth estimation. Nevertheless, the bal...
Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Semantics
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Relation classification via BERT with piecewise convolution and focal loss.

PloS one Sep 10, 2021
Recent relation extraction models' architecture are evolved from the shallow neural networks to natural language model, such as convolutional neural networks or recurrent neural networks to Bert. However, these methods did not consider the semantic i...
Algorithms Deep Learning Models, Theoretical Natural Language Processing Neural Networks, Computer Semantics Databases as Topic
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Dual coding of knowledge in the human brain.

Trends in cognitive sciences Sep 8, 2021
How does the human brain code knowledge about the world? While disciplines such as artificial intelligence represent world knowledge based on human language, neurocognitive models of knowledge have been dominated by sensory embodiment, in which knowl...
Humans Artificial Intelligence Semantics Temporal Lobe Brain Language Brain Mapping
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