AIMC Topic: Semantics

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Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet.

IEEE transactions on pattern analysis and machine intelligence Mar 4, 2022
Adversarial attacks on deep neural networks (DNNs) have been found for several years. However, the existing adversarial attacks have high success rates only when the information of the victim DNN is well-known or could be estimated by the structure s...
Neural Networks, Computer Algorithms Attention Semantics
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Heterogeneous Graph Attention Network for Unsupervised Multiple-Target Domain Adaptation.

IEEE transactions on pattern analysis and machine intelligence Mar 4, 2022
Domain adaptation, which transfers the knowledge from label-rich source domain to unlabeled target domains, is a challenging task in machine learning. The prior domain adaptation methods focus on pairwise adaptation assumption with a single source an...
Machine Learning Algorithms Semantics
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Graph-Based Region and Boundary Aggregation for Biomedical Image Segmentation.

IEEE transactions on medical imaging Mar 2, 2022
Segmentation is a fundamental task in biomedical image analysis. Unlike the existing region-based dense pixel classification methods or boundary-based polygon regression methods, we build a novel graph neural network (GNN) based deep learning framewo...
Neural Networks, Computer Image Processing, Computer-Assisted Fundus Oculi Optic Disk Semantics
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A Deep Learning-Based Chinese Semantic Parser for the Almond Virtual Assistant.

Sensors (Basel, Switzerland) Feb 28, 2022
Almond is an extendible open-source virtual assistant designed to help people access Internet services and IoT (Internet of Things) devices. Both are referred to as skills here. Service providers can easily enable their devices for Almond by defining...
Humans Software Deep Learning China Semantics Prunus dulcis
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Smart Contract Vulnerability Detection Model Based on Multi-Task Learning.

Sensors (Basel, Switzerland) Feb 25, 2022
The key issue in the field of smart contract security is efficient and rapid vulnerability detection in smart contracts. Most of the existing detection methods can only detect the presence of vulnerabilities in the contract and can hardly identify th...
Neural Networks, Computer Algorithms Semantics Recognition, Psychology
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Semantic Search for Large Scale Clinical Ontologies.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 21, 2022
Finding concepts in large clinical ontologies can be challenging when queries use different vocabularies. A search algorithm that overcomes this problem is useful in applications such as concept normalisation and ontology matching, where concepts can...
Humans Algorithms Semantics Biological Ontologies Vocabulary, Controlled Vocabulary
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GAN-Based Image Colorization for Self-Supervised Visual Feature Learning.

Sensors (Basel, Switzerland) Feb 18, 2022
Large-scale labeled datasets are generally necessary for successfully training a deep neural network in the computer vision domain. In order to avoid the costly and tedious work of manually annotating image datasets, self-supervised learning methods ...
Neural Networks, Computer Computers Image Processing, Computer-Assisted Semantics Vision, Ocular
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Learning to Reason on Tree Structures for Knowledge-Based Visual Question Answering.

Sensors (Basel, Switzerland) Feb 17, 2022
Collaborative reasoning for knowledge-based visual question answering is challenging but vital and efficient in understanding the features of the images and questions. While previous methods jointly fuse all kinds of features by attention mechanism o...
Neural Networks, Computer Learning Knowledge Bases Semantics Problem Solving
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Chinese Image Caption Generation via Visual Attention and Topic Modeling.

IEEE transactions on cybernetics Feb 16, 2022
Automatic image captioning is to conduct the cross-modal conversion from image visual content to natural language text. Involving computer vision (CV) and natural language processing (NLP), it has become one of the most sophisticated research issues ...
Neural Networks, Computer Language China Natural Language Processing Semantics
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A Topic Recognition Method of News Text Based on Word Embedding Enhancement.

Computational intelligence and neuroscience Feb 16, 2022
Topic recognition technology has been commonly applied to identify different categories of news topics from the vast amount of web information, which has a wide application prospect in the field of online public opinion monitoring, news recommendatio...
Models, Statistical Natural Language Processing Semantics
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