AIMC Topic: Semantics

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Neuro-symbolic procedural semantics for explainable visual dialogue.

PloS one May 27, 2025
This paper introduces a novel approach to visual dialogue that is based on neuro-symbolic procedural semantics. The approach builds further on earlier work on procedural semantics for visual question answering and expands it with neuro-symbolic mecha...
Semantics Memory Humans Artificial Intelligence Communication
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EnsembleEdgeFusion: advancing semantic segmentation in microvascular decompression imaging with innovative ensemble techniques.

Scientific reports May 23, 2025
Semantic segmentation involves an imminent part in the investigation of medical images, particularly in the domain of microvascular decompression, where publicly available datasets are scarce, and expert annotation is demanding. In response to this c...
Algorithms Deep Learning Humans Semantics Microvessels Image Processing, Computer-Assisted Bayes Theorem Microvascular Decompression Surgery
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CoupleMDA: Metapath-Induced Structural-Semantic Coupling Network for miRNA-Disease Association Prediction.

International journal of molecular sciences May 21, 2025
The prediction of microRNA-disease associations (MDAs) is crucial for understanding disease mechanisms and biomarker discovery. While graph neural networks have emerged as promising tools for MDA prediction, existing methods face critical limitations...
Semantics Algorithms Genetic Predisposition to Disease Computational Biology MicroRNAs Humans Neural Networks, Computer
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Replacing non-biomedical concepts improves embedding of biomedical concepts.

PloS one May 5, 2025
Embeddings are semantically meaningful representations of words in a vector space, commonly used to enhance downstream machine learning applications. Traditional biomedical embedding techniques often replace all synonymous words representing biologic...
Semantics Machine Learning Medical Informatics Computing Algorithms
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Paraphrase detection for Urdu language text using fine-tune BiLSTM framework.

Scientific reports May 2, 2025
Automated paraphrase detection is crucial for natural language processing (NL) applications like text summarization, plagiarism detection, and question-answering systems. Detecting paraphrases in Urdu text remains challenging due to the language's co...
Semantics Language Natural Language Processing Humans Algorithms
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Semi-Supervised Echocardiography Video Segmentation via Adaptive Spatio-Temporal Tensor Semantic Awareness and Memory Flow.

IEEE transactions on medical imaging May 2, 2025
Accurate segmentation of cardiac structures in echocardiography videos is vital for diagnosing heart disease. However, challenges such as speckle noise, low spatial resolution, and incomplete video annotations hinder the accuracy and efficiency of se...
Image Processing, Computer-Assisted Heart Supervised Machine Learning Image Interpretation, Computer-Assisted Algorithms Echocardiography Humans Semantics
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Visuomotor Navigation for Embodied Robots With Spatial Memory and Semantic Reasoning Cognition.

IEEE transactions on neural networks and learning systems May 2, 2025
The fundamental prerequisite for embodied agents to make intelligent decisions lies in autonomous cognition. Typically, agents optimize decision-making by leveraging extensive spatiotemporal information from episodic memory. Concurrently, they utiliz...
Semantics Spatial Memory Cognition Decision Making Robotics Psychomotor Performance Neural Networks, Computer Artificial Intelligence Humans
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SSSLN:Multivariate Time Series Forecasting via Collaborative Dynamic Graph Learning.

Neural networks : the official journal of the International Neural Network Society Apr 26, 2025
Multivariate time series (MTS) forecasting has achieved notable progress through graph modeling. However, existing approaches often face two key challenges. First, traditional dynamic graph learning (DGL) methods typically maintain dynamic graphs dir...
Time Factors Semantics Machine Learning Forecasting Multivariate Analysis Humans Neural Networks, Computer
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Layer Frozen Multi-Net & Latent Space Feature-Concealed Backdoor Samples Detection.

Neural networks : the official journal of the International Neural Network Society Apr 25, 2025
Identifying feature-concealed backdoor samples that entangle with benign semantics of target-class or possess dynamic triggers challenges backdoor attack detection. Existing methods focus on sample distribution differences in latent space of victim m...
Neural Networks, Computer Humans Algorithms Semantics
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TMNRED, A Chinese Language EEG Dataset for Fuzzy Semantic Target Identification in Natural Reading Environments.

Scientific data Apr 25, 2025
Semantic understanding is central to advanced cognitive functions, and the mechanisms by which the brain processes language information are still being explored. Existing EEG datasets often lack natural reading data specific to Chinese, limiting rese...
Semantics Reading Humans Natural Language Processing Language Electroencephalography China East Asian People
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