capsule network (CapsNet)
A capsule network for traffic speed prediction in complex road networks
... road network is depicted in ...a capsule network (CapsNet) [8], [9] that replaces the pooling operation with dynamic routing, which enables to take into account important spatial hierarchies between ...
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Analysis on Credit Card Fraud Detection using Capsule Network
... the network, highlights are extended in time measurement and can portray the utilization examples of authentic what's more, deceitful exchange ...the Capsule Network (CapsNet) without precedent for ...
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MCapsNet: Capsule Network for Text with Multi Task Learning
... single-task network enhanced by capsules is already a strong ...our capsule networks are effective for text. Partic- ularly, our capsule network outperforms conven- tional CNNs like DCNN, ...
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Enhancing Context Modeling with a Query Guided Capsule Network for Document level Translation
... the capsule concep- tion to use vector for describing the pose of an ...the capsule net- work for various ...novel capsule network with dynamic rout- ing for linear time ...plored ...
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Multi-Labeled Relation Extraction with Attentive Capsule Network
... with Capsule Network Capsule net- work has been proved effective in digital recognition, espe- cially for the highly overlapping digits (Sabour, Frosst, and Hinton ...a capsule is a group of ...
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Detecting Aggression and Toxicity using a Multi Dimension Capsule Network
... in Capsule network based deep learning architecture to classify toxic comments have proved that these networks work well as com- pared to other deep learning architectures (Srivas- tava et ...
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Emoji Powered Capsule Network to Detect Type and Target of Offensive Posts in Social Media
... the Capsule Networks are very new to the field, they have not been used much in NLP ...with Capsule Networks. Also, it might be important to explore how the Capsule Networks performs in NLP do- ...
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Capsule Network with Interactive Attention for Aspect Level Sentiment Classification
... utilize capsule network to construct vector-based feature rep- resentation and cluster features by an EM rout- ing ...the capsule routing procedure to model the semantic re- lationship between aspect ...
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Sentylic at IEST 2018: Gated Recurrent Neural Network and Capsule Network Based Approach for Implicit Emotion Detection
... In this paper, we present the system we have used for the Implicit WASSA 2018 Implicit Emotion Shared Task. The task is to pre- dict the emotion of a tweet of which the ex- plicit mentions of emotion terms have been re- ...
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YNU DYX at SemEval 2019 Task 5: A Stacked BiGRU Model Based on Capsule Network in Detection of Hate
... This task aims to predict whether the tweet for each ID is a hate speech about women or immi- grants. Our system implements a stacked Bidi- rectional Gated Recurrent Units (BiGRUs) (Cho et al., 2014) based on a ...
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Transfer Capsule Network for Aspect Level Sentiment Classification
... Several recent attempts have taken ITL or MTL methods for sentiment classification tasks. Dong and de Melo (2018) present a transfer learning framework by utilizing trained models. Xiao et al. (2018) employ ...
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Transformer Based Capsule Network For Stock Movement Prediction
... Capsule network generates the capsules in the next layer us- ing “routing-by-agreement”. This process takes the place of pooling operation and usually discards the location informa- tion, which helps ...
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Identifying Aggression and Toxicity in Comments using Capsule Network
... Aggression and related activities like trolling, hate speech etc. involve toxic comments in various forms. These are common scenarios in today’s time and websites react by shutting down their comment sections. To tackle ...
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A Capsule Network based Embedding Model for Knowledge Graph Completion and Search Personalization
... introduced capsule net- works (CapsNet) that employ capsules (i.e., each capsule is a group of neurons) to capture entities in images and then uses a routing process to specify connections from capsules in ...
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Investigating Capsule Network and Semantic Feature on Hyperplanes for Text Classification
... use capsule networks to construct the vectorized represen- tation of semantics and utilize hyperplanes to decompose each capsule to acquire the spe- cific ...
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American sign language posture understanding with deep neural networks
... a capsule-based deep neural network sign posture translator for an American Sign Language (ASL) fingerspelling (posture), has been ...neural network approaches, which mainly used fine-tuning and ...
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Volume 4 | Issue 2 - 2014
... Multiple-units are single dosage forms that disintegrate into several parts after ingestion. Hard gelatin capsules are particularly suitable for their development and manufacture. Multiple-units might consist of a single ...
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Evaluation of the Efficacy of Flaxilip Capsule for Hypercholesterolemic Patients
... Flaxilip Capsule was carried out for the treatment of hypercholesterolemia associated cardiac disorders; the efficacy was reviewed on the basis on lipid ...Flaxilip capsule was found undoubtedly effective ...
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CAPSULE IN CAPSULE DOSAGE FORM WITH MINI TABLETS FOR THE TREATMENT OF HELICOBACTER PYLORI
... 30 mg of Lansoprazole was weighed and filled in size 5 capsules. The cap and the body were locked and sealed using hydro- alcoholic solution of ethanol and water (1:2 ratio) and air dried. Enteric coating solutions C1, ...
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Antimicrobial Activity of Corchorus Olitorius. L
... The results revealed that the Capasule and root extracts of Corchorus olitorius had the highest antibacterial activity. The growth of Bacillus subtilis, Pseudomonas aerogenosa, Streptococcus mutans were inhibited by the ...
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