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06/07/2023
Collision-free Motion Generation Based on Stochastic Optimization and Composite Signed Distance Field Networks of Articulated Robot
Safe robot motion generation is critical for practical applications from...
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05/27/2023
Measuring Your ASTE Models in The Wild: A Diversified Multi-domain Dataset For Aspect Sentiment Triplet Extraction
Aspect Sentiment Triplet Extraction (ASTE) is widely used in various app...
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10/09/2022
Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect Category Detection
Multi-Label Few-Shot Aspect Category Detection (FS-ACD) is a new sub-tas...
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04/08/2022
Learning Cooperative Dynamic Manipulation Skills from Human Demonstration Videos
This article proposes a method for learning and robotic replication of d...
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04/03/2021
A DMP-based Framework for Efficiently Generating Complete Stiffness Profiles of Human-like Variable Impedance Skill from Demonstrations
Human manipulation skills can be transferred to robots conveniently thro...
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03/04/2021
Analysing Wideband Absorbance Immittance in Normal and Ears with Otitis Media with Effusion Using Machine Learning
Wideband Absorbance Immittance (WAI) has been available for more than a ...
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02/19/2021
Unit selection synthesis based data augmentation for fixed phrase speaker verification
Data augmentation is commonly used to help build a robust speaker verifi...
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10/23/2020
Attention Transfer Network for Aspect-level Sentiment Classification
Aspect-level sentiment classification (ASC) aims to detect the sentiment...
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10/09/2020
Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction
Aspect-oriented Fine-grained Opinion Extraction (AFOE) aims at extractin...
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01/07/2020
Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction
Target-oriented opinion words extraction (TOWE) is a new subtask of ABSA...
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10/21/2019
