AIMC Topic: Semantics
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Places as fuzzy locational categories.
Acta psychologica
Dec 2, 2019
This paper offers a new way of considering places as special types of categories, in human cognition of larger-scale environments. This may provide an explanatory cognitive model for a range of known phenomena from environmental psychology and human ...
Integrating functional connectivity and MVPA through a multiple constraint network analysis.
NeuroImage
Nov 30, 2019
Traditional general linear model-based brain mapping efforts using functional neuroimaging are complemented by more recent multivariate pattern analyses (MVPA) that apply machine learning techniques to identify the cognitive states associated with re...
Extracting causal relations from the literature with word vector mapping.
Computers in biology and medicine
Nov 27, 2019
Causal graphs play an essential role in the determination of causalities and have been applied in many domains including biology and medicine. Traditional causal graph construction methods are usually data-driven and may not deliver the desired accur...
Learning a functional grammar of protein domains using natural language word embedding techniques.
Proteins
Nov 25, 2019
In this paper, using Word2vec, a widely-used natural language processing method, we demonstrate that protein domains may have a learnable implicit semantic "meaning" in the context of their functional contributions to the multi-domain proteins in whi...
Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps.
Medical image analysis
Nov 20, 2019
Colorectal polyps are known to be potential precursors to colorectal cancer, which is one of the leading causes of cancer-related deaths on a global scale. Early detection and prevention of colorectal cancer is primarily enabled through manual screen...
Ease of learning explains semantic universals.
Cognition
Nov 19, 2019
Semantic universals are properties of meaning shared by the languages of the world. We offer an explanation of the presence of such universals by measuring simplicity in terms of ease of learning, showing that expressions satisfying universals are si...
Extractive single document summarization using binary differential evolution: Optimization of different sentence quality measures.
PloS one
Nov 14, 2019
With the increase in the amount of text information in different real-life applications, automatic text-summarization systems become more predominant in extracting relevant information. In the current study, we formulated the problem of extractive te...
Exploring semantic deep learning for building reliable and reusable one health knowledge from PubMed systematic reviews and veterinary clinical notes.
Journal of biomedical semantics
Nov 12, 2019
BACKGROUND: Deep Learning opens up opportunities for routinely scanning large bodies of biomedical literature and clinical narratives to represent the meaning of biomedical and clinical terms. However, the validation and integration of this knowledge...
Self-attention based recurrent convolutional neural network for disease prediction using healthcare data.
Computer methods and programs in biomedicine
Nov 11, 2019
BACKGROUND AND OBJECTIVE: Nowadays computer-aided disease diagnosis from medical data through deep learning methods has become a wide area of research. Existing works of analyzing clinical text data in the medical domain, which substantiate useful in...
Jointly Integrating VCF-Based Variants and OWL-Based Biomedical Ontologies in MongoDB.
IEEE/ACM transactions on computational biology and bioinformatics
Nov 4, 2019
The development of the next-generation sequencing (NGS) technologies has led to massive amounts of VCF (Variant Call Format) files, which have been the standard formats developed with 1000 Genomes Project. At the same time, with the widespread use of...
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