Search Results for author: Yuanyuan Yao

Found 5 papers, 1 papers with code

PeerGPT: Probing the Roles of LLM-based Peer Agents as Team Moderators and Participants in Children's Collaborative Learning

no code implementations21 Mar 2024 Jiawen Liu, Yuanyuan Yao, Pengcheng An, Qi Wang

In children's collaborative learning, effective peer conversations can significantly enhance the quality of children's collaborative interactions.

Language Modelling Large Language Model

Stimulus-Informed Generalized Canonical Correlation Analysis for Group Analysis of Neural Responses

1 code implementation31 Jan 2024 Simon Geirnaert, Yuanyuan Yao, Tom Francart, Alexander Bertrand

In this context, generalized canonical correlation analysis (GCCA) is often used as a group analysis technique, which allows the extraction of correlated signal components from the neural activity of multiple subjects attending to the same stimulus.

Brain Computer Interface EEG

Transformer Convolutional Neural Networks for Automated Artifact Detection in Scalp EEG

no code implementations4 Aug 2022 Wei Yan Peh, Yuanyuan Yao, Justin Dauwels

Next, for each of these five types of artifacts, we combine the output of these channel-wise detectors to detect artifacts in multi-channel EEG segments.

Artifact Detection Binary Classification +2

Six-center Assessment of CNN-Transformer with Belief Matching Loss for Patient-independent Seizure Detection in EEG

no code implementations29 Jul 2022 Wei Yan Peh, Prasanth Thangavel, Yuanyuan Yao, John Thomas, Yee Leng Tan, Justin Dauwels

In this study, we propose a patient-independent seizure detector to automatically detect seizures in both scalp EEG and intracranial EEG (iEEG).

EEG Seizure Detection

Exemplar Loss for Siamese Network in Visual Tracking

no code implementations20 Jun 2020 Shuo Chang, Yifan Zhang, Sai Huang, Yuanyuan Yao, Zhiyong Feng

In general, Siamese tracking algorithms, supervised by logistic loss and triplet loss, increase the value of inner product between exemplar template and positive sample while reduce the value of inner product with background sample.

Visual Tracking

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