Fine-grained entity type classification with adaptive context
Sign Up to like & getrecommendations! Published in 2018 at "Soft Computing"
DOI: 10.1007/s00500-017-2963-2
Abstract: Natural language processing (NLP) is the technology that enables machine to process human language. Entity recognition is one of the most basic tasks in NLP. It aims to identify and classify the name of each… read more here.
Keywords: entity type; fine grained; entity; type classification ... See more keywords
Neuronal cell-type classification: challenges, opportunities and the path forward
Sign Up to like & getrecommendations! Published in 2017 at "Nature Reviews Neuroscience"
DOI: 10.1038/nrn.2017.85
Abstract: Neurons have diverse molecular, morphological, connectional and functional properties. We believe that the only realistic way to manage this complexity — and thereby pave the way for understanding the structure, function and development of brain… read more here.
Keywords: classification; neuronal cell; type classification; cell ... See more keywords
Neuron type classification in rat brain based on integrative convolutional and tree-based recurrent neural networks
Sign Up to like & getrecommendations! Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-86780-4
Abstract: The study of cellular complexity in the nervous system based on anatomy has shown more practical and objective advantages in morphology than other perspectives on molecular, physiological, and evolutionary aspects. However, morphology-based neuron type classification… read more here.
Keywords: classification; neuron type; tree; type classification ... See more keywords
Annual seasonality in Sentinel-1 signal for forest mapping and forest type classification
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2018.1479788
Abstract: ABSTRACT The Sentinel-1 satellites provide the formerly unprecedented combination of high spatial and temporal resolution of dual polarization synthetic aperture radar data. The availability of dense time series enables the derivation and analysis of temporally… read more here.
Keywords: classification; non forest; forest type; annual seasonality ... See more keywords
scPretrain: multi-task self-supervised learning for cell-type classification
Sign Up to like & getrecommendations! Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac007
Abstract: MOTIVATION Rapidly generated scRNA-seq datasets enable us to understand cellular differences and the function of each individual cell at single-cell resolution. Cell type classification, which aims at characterizing and labeling groups of cells according to… read more here.
Keywords: type classification; cell; step; supervised learning ... See more keywords
Ensemble Learning for Multi-Type Classification in Heterogeneous Networks
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2018.2822307
Abstract: Heterogeneous networks are networks consisting of different types of objects and links. They can be found in several fields, ranging from the Internet to social sciences, biology, epidemiology, geography, finance, and many others. In the… read more here.
Keywords: heterogeneous networks; classification; network; multi type ... See more keywords
Semisupervised PCA Convolutional Network for Vehicle Type Classification
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2020.3000306
Abstract: In the vehicle type classification area, the necessity to improve classification performance across traffic surveillance cameras has garnered attention in research especially on high level feature extraction and classification. The backpropagation (BP) training approach of… read more here.
Keywords: classification; network; vehicle; vehicle type ... See more keywords