AIMC Topic: Semantics

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Sentiment Analysis of Animated Film Reviews Using Intelligent Machine Learning.

Computational intelligence and neuroscience Jul 20, 2022
Film is an essential expression of a country's cultural soft power in terms of cross-cultural exchange. In addition, film is also the most direct and favourable means of communication. Along with the expansion and development of the Chinese film mark...
Humans Machine Learning Data Mining Semantics Motion Pictures Sentiment Analysis
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Investigating the Bilateral Connections in Generative Zero-Shot Learning.

IEEE transactions on cybernetics Jul 19, 2022
Zero-shot learning (ZSL) is a pretty intriguing topic in the computer vision community since it handles novel instances and unseen categories. In a typical ZSL setting, there is a main visual space and an auxiliary semantic space. Most existing ZSL m...
Machine Learning Semantics
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, Enhancing Long-Term Consistency of Object-Oriented Semantic Maps in Robotics.

Sensors (Basel, Switzerland) Jul 15, 2022
This paper proposes , a method for building object-oriented semantic maps that remain consistent in the long-term operation of mobile robots. Among the different challenges that compromise this aim, focuses on two of the more relevant ones: preventi...
Ecosystem Robotics Semantics
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Toward a standard formal semantic representation of the model card report.

BMC bioinformatics Jul 14, 2022
BACKGROUND: Model card reports aim to provide informative and transparent description of machine learning models to stakeholders. This report document is of interest to the National Institutes of Health's Bridge2AI initiative to address the FAIR chal...
Artificial Intelligence Machine Learning Software Computational Biology Semantics Biological Ontologies
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Semantic segmentation of human cell nucleus using deep U-Net and other versions of U-Net models.

Network (Bristol, England) Jul 12, 2022
The deep learning models play an essential role in many areas, including medical image analysis. These models extract important features without human intervention. In this paper, we propose a deep convolution neural network, named as deep U-Net mode...
Humans Neural Networks, Computer Semantics Cell Nucleus
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Semantic Analysis Technology of English Translation Based on Deep Neural Network.

Computational intelligence and neuroscience Jul 11, 2022
English translation plays an important role in the development of science and technology and cultural exchanges. With the increase in translation volume, intelligent translation has become inevitable, but there is no effective solution for semantic t...
Neural Networks, Computer Technology Language Semantics Translating
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Heuristic Attention Representation Learning for Self-Supervised Pretraining.

Sensors (Basel, Switzerland) Jul 10, 2022
Recently, self-supervised learning methods have been shown to be very powerful and efficient for yielding robust representation learning by maximizing the similarity across different augmented views in embedding vector space. However, the main challe...
Neural Networks, Computer Supervised Machine Learning Heuristics Semantics
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Realization of English Instructional Resources Clusters Reconstruction System Using the Machine Learning Model.

Computational intelligence and neuroscience Jul 9, 2022
Based on ML algorithm, this paper puts forward a method that can search instructional resources through keyword indexing technology, and then cluster and recombine the related results and present them centrally. In this paper, the semantic processing...
Machine Learning Algorithms Semantics
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Conceptual alignment in a joint picture-naming task performed with a social robot.

Cognition Jul 5, 2022
In this study we investigated whether people conceptually align when performing a language task together with a robot. In a joint picture-naming task, 24 French native speakers took turns with a robot in naming images of objects belonging to fifteen ...
Humans Robotics Reaction Time Semantics Social Interaction Pattern Recognition, Visual
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SiBERT: A Siamese-based BERT network for Chinese medical entities alignment.

Methods (San Diego, Calif.) Jul 4, 2022
Entity alignment aims at associating semantically similar entities in knowledge graphs from different sources. It is widely used in the integration and construction of professional medical knowledge. The existing deep learning methods lack term-level...
Algorithms Electronic Health Records Deep Learning China Semantics Vocabulary, Controlled
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