Results 61 to 70 of about 431,572 (197)

Combining Recurrent and Convolutional Neural Networks for Relation Classification [PDF]

open access: yesProceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2016
NAACL ...
Ngoc Thang Vu   +3 more
openaire   +2 more sources

Seeing in the dark with recurrent convolutional neural networks

open access: yesCoRR, 2018
12 pages (with appendix), 6 figure (main text), 3 supplementary ...
openaire   +2 more sources

Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting

open access: yes, 2020
Modeling complex spatial and temporal correlations in the correlated time series data is indispensable for understanding the traffic dynamics and predicting the future status of an evolving traffic system.
Bai, Lei   +4 more
core  

Graph Convolutional Recurrent Neural Network for Body Surface Potential Maps

open access: yes, 2023
<h1>Graph Convolutional Recurrent Neural Network (GCRNN) for Body Surface Potential Maps</h1> <div>Python code and data for "Non-invasive identification of single-atrial drivers and inter-atrial macro-reentries in atrial fibrillation ...
Feng, Yingjing
core   +1 more source

Localization, Detection and Tracking of Multiple Moving Sound Sources with a Convolutional Recurrent Neural Network [PDF]

open access: yesWorkshop on Detection and Classification of Acoustic Scenes and Events, 2019
This paper investigates the joint localization, detection, and tracking of sound events using a convolutional recurrent neural network (CRNN). We use a CRNN previously proposed for the localization and detection of stationary sources, and show that the ...
Sharath Adavanne   +2 more
semanticscholar   +1 more source

Implementasi Algoritma Convolutional Recurrent Neural Network dalam Latin Character Recognition [PDF]

open access: yes, 2020
Optical Character Recognition (OCR) merupakan metode yang dipakai untuk mengubah printed text menjadi editable text. OCR sangat berguna dan merupakan metode yang populer untuk berbagai macam aplikasi.
Febrita, Febe
core  

Deep Cognitive Neural Network (DCNN) [PDF]

open access: yes, 2019
Embodiments of the present systems and methods may provide a more efficient and low-powered cognitive computational platform utilizing a deep cognitive neural network (DCNN), incorporating an architecture that integrates convolutional feedforward and ...
Hussain, Amir   +3 more
core  

HARC-New Hybrid Method with Hierarchical Attention Based Bidirectional Recurrent Neural Network with Dilated Convolutional Neural Network to Recognize Multilabel Emotions from Text

open access: yes, 2021
HARC-New Hybrid Method with Hierarchical Attention Based Bidirectional Recurrent Neural Network with Dilated Convolutional Neural Network to Recognize Multilabel Emotions from ...
Mst Sunjida Sultana (20137065)   +4 more
core  

Convolutional recurrent neural network with template based representation for complex question answering

open access: yes, 2020
Complex Question answering system is developed to answer different types of questions accurately. Initially the question from the natural language is transformed to an internal representation which captures the semantics and intent of the question.
Obula Reddy, A. Chandra   +3 more
core   +1 more source

ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks

open access: yesCoRR, 2015
In this paper, we propose a deep neural network architecture for object recognition based on recurrent neural networks. The proposed network, called ReNet, replaces the ubiquitous convolution+pooling layer of the deep convolutional neural network with four recurrent neural networks that sweep horizontally and vertically in both directions across the ...
Francesco Visin   +5 more
openaire   +2 more sources

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