AIMC Topic: Semantics

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An artificial intelligence-based dental semantic search engine as a reliable tool for dental students and educators.

Journal of dental education May 7, 2024
PURPOSE/OBJECTIVES: This study proposes the utilization of a Natural Language Processing tool to create a semantic search engine for dental education while addressing the increasing concerns of accuracy, bias, and hallucination in outputs generated b...
Search Engine Faculty, Dental Education, Dental Semantics Students, Dental Humans Artificial Intelligence Natural Language Processing
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Distinguishing the Uterine Artery, the Ureter, and Nerves in Laparoscopic Surgical Images Using Ensembles of Binary Semantic Segmentation Networks.

Sensors (Basel, Switzerland) May 4, 2024
Performing a minimally invasive surgery comes with a significant advantage regarding rehabilitating the patient after the operation. But it also causes difficulties, mainly for the surgeon or expert who performs the surgical intervention, since only ...
Humans Female Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Uterine Artery Hysterectomy Ureter Laparoscopy Semantics
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A Dataset for Evaluating Contextualized Representation of Biomedical Concepts in Language Models.

Scientific data May 4, 2024
Due to the complexity of the biomedical domain, the ability to capture semantically meaningful representations of terms in context is a long-standing challenge. Despite important progress in the past years, no evaluation benchmark has been developed ...
Natural Language Processing Semantics Language
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Learning shared template representation with augmented feature for multi-object pose estimation.

Neural networks : the official journal of the International Neural Network Society Apr 30, 2024
Template matching pose estimation methods based on deep learning have made significant advancements via metric learning or reconstruction learning. Existing approaches primarily build distinct template representation libraries (codebooks) from render...
Humans Semantics Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted Algorithms
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Revealing the mechanisms of semantic satiation with deep learning models.

Communications biology Apr 22, 2024
The phenomenon of semantic satiation, which refers to the loss of meaning of a word or phrase after being repeated many times, is a well-known psychological phenomenon. However, the microscopic neural computational principles responsible for these me...
Neural Networks, Computer Humans Deep Learning Models, Neurological Semantics
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Multi-scale full spike pattern for semantic segmentation.

Neural networks : the official journal of the International Neural Network Society Apr 20, 2024
Spiking neural networks (SNNs), as the brain-inspired neural networks, encode information in spatio-temporal dynamics. They have the potential to serve as low-power alternatives to artificial neural networks (ANNs) due to their sparse and event-drive...
Neurons Semantics Models, Neurological Action Potentials Deep Learning Neural Networks, Computer Humans Algorithms
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Contrastive Prototype-Guided Generation for Generalized Zero-Shot Learning.

Neural networks : the official journal of the International Neural Network Society Apr 15, 2024
Generalized zero-shot learning (GZSL) aims to recognize both seen and unseen classes, while only samples from seen classes are available for training. The mainstream methods mitigate the lack of unseen training data by simulating the visual unseen sa...
Humans Neural Networks, Computer Semantics Machine Learning Algorithms
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Semantically redundant training data removal and deep model classification performance: A study with chest X-rays.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 9, 2024
Deep learning (DL) has demonstrated its innate capacity to independently learn hierarchical features from complex and multi-dimensional data. A common understanding is that its performance scales up with the amount of training data. However, the data...
Radiography, Thoracic Deep Learning Semantics Humans
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Pipelined biomedical event extraction rivaling joint learning.

Methods (San Diego, Calif.) Apr 9, 2024
Biomedical event extraction is an information extraction task to obtain events from biomedical text, whose targets include the type, the trigger, and the respective arguments involved in an event. Traditional biomedical event extraction usually adopt...
Semantics Natural Language Processing Data Mining Humans Machine Learning Algorithms
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Semantic segmentation of urban environments: Leveraging U-Net deep learning model for cityscape image analysis.

PloS one Apr 5, 2024
Semantic segmentation of cityscapes via deep learning is an essential and game-changing research topic that offers a more nuanced comprehension of urban landscapes. Deep learning techniques tackle urban complexity and diversity, which unlocks a broad...
Hydrolases Deep Learning Image Processing, Computer-Assisted City Planning Semantics Empirical Research
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