Search Results - "masked autoencoder"

Topology-Guided Graph Masked Autoencoder Learning for Population-Based Neurodevelopmental Disorder Diagnosis by Li, Yueying, Zhang, Xiaotong, Guan, Shihan, Ma, Guolin, Kong, Youyong

“…-individual associations in population. To solve these problems, this work proposes a novel approach for detecting abnormal neural circuits associated with brain diseases, named Topology-guided Graph Masked autoencoder Learning method (TGML…”
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MAE-EEG-Transformer: A transformer-based approach combining masked autoencoder and cross-individual data augmentation pre-training for EEG classification by Cai, Miao, Zeng, Yu

“…Convolutional neural networks (CNN) may not be ideal for extracting global temporal features from non-stationary Electroencephalogram (EEG) signals. The…”
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Cytometry masked autoencoder: An accurate and interpretable automated immunophenotyper by Kim, Jaesik, Ionita, Matei, Lee, Matthew, McKeague, Michelle L., Pattekar, Ajinkya, Painter, Mark M., Wagenaar, Joost, Truong, Van, Norton, Dylan T., Mathew, Divij, Nam, Yonghyun, Apostolidis, Sokratis A., Clendenin, Cynthia, Orzechowski, Patryk, Jung, Sang-Hyuk, Woerner, Jakob, Ittner, Caroline A.G., Turner, Alexandra P., Esperanza, Mika, Dunn, Thomas G., Mangalmurti, Nilam S., Reilly, John P., Meyer, Nuala J., Calfee, Carolyn S., Liu, Kathleen D., Matthy, Michael A., Swigart, Lamorna Brown, Burnham, Ellen L., McKeehan, Jeffrey, Gandotra, Sheetal, Russel, Derek W., Gibbs, Kevin W., Thomas, Karl W., Barot, Harsh, Greenplate, Allison R., Wherry, E. John, Kim, Dokyoon

“… We propose a cytometry masked autoencoder (cyMAE), which automates immunophenotyping tasks including cell type annotation…”
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Fine-Tuned Visual Transformer Masked Autoencoder Applied for Anomaly Detection in Satellite Images by Gajda, Jakub, Kwiecień, Joanna

“… A Transformer Masked Autoencoder was fine-tuned for a custom satellite image dataset after being pre-trained on the ImageNet subset…”
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WAVELET2VEC: A Filter Bank Masked Autoencoder for EEG-Based Seizure Subtype Classification by Peng, Ruimin, Zhao, Changming, Xu, Yifan, Jiang, Jun, Kuang, Guangtao, Shao, Jianbo, Wu, Dongrui

“…Electroencephalogram (EEG) based seizure subtype classification plays an important role in clinical diagnostics. However, existing deep learning approaches…”
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EEG generalizable representations learning via masked fractional fourier domain modeling by Zhang, Shubin, An, Dong, Liu, Jincun, Wei, Yaoguang

“… To improve the generalization ability of pre-trained models, we propose a novel masked autoencoder based on fractional Fourier…”
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DMAE-EEG: A Pretraining Framework for EEG Spatiotemporal Representation Learning by Zhang, Yifan, Yu, Yang, Li, Hao, Wu, Anqi, Chen, Xin, Liu, Jinfang, Zeng, Ling-Li, Hu, Dewen

“… To address these challenges, we develop a pretraining framework named DMAE-EEG, a denoising masked autoencoder for mining generalizable spatiotemporal representation from massive unlabeled EEG…”
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Cytometry Masked Autoencoder: An Accurate and Interpretable Automated Immunophenotyper by Kim, Jaesik, Ionita, Matei, Lee, Matthew, Mckeague, Michelle L, Ajinkya Pattekar, Painter, Mark M, Wagenaar, Joost, Truong, Van, Norton, Dylan T, Divij Mathew, Nam, Yonghyun, Apostolidis, Sokratis A, Clendenin, Cynthia, Orzechowski, Patryk, Sang-Hyuk Jung, Woerner, Jakob, Ittner, Caroline Ag, Turner, Alexandra P, Mika Esperanza, Dunn, Thomas G, Mangalmurti, Nilam S, Reilly, John P, Meyer, Nuala J, Calfee, Carolyn S, Liu, Kathleen D, Matthy, Michael A, Lamorna Brown Swigart, Burnham, Ellen L, Mckeehan, Jeffrey, Gandotra, Sheetal, Russel, Derek W, Gibbs, Kevin W, Thomas, Karl W, Barot, Harsh, Greenplate, Allison R, Wherry, E John, Kim, Dokyoon

“… In this study, we propose a cytometry masked autoencoder (cyMAE), which offers an automated solution for immunophenotyping tasks including cell type annotation…”
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Masked Autoencoder with Swin Transformer Network for Mitigating Electrode Shift in HD-EMG-based Gesture Recognition by Laamerad, Kasra, Shabanpour, Mehran, Islam, Md Rabiul, Mohammadi, Arash

“… In this context, the paper proposes the Masked Autoencoder with Swin Transformer (MAST) framework, where training is performed on a masked subset of HDsEMG channels…”
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Uncovering cognitive taskonomy through transfer learning in masked autoencoder-based fMRI reconstruction by Qu, Youzhi, Xia, Junfeng, Xinyao Jian, Li, Wendu, Peng, Kaining, Liang, Zhichao, Wu, Haiyan, Liu, Quanying

“… Here, we employ the masked autoencoder (MAE) model to reconstruct functional magnetic resonance imaging (fMRI…”
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Multi-Scale Masked Autoencoders for Cross-Session Emotion Recognition by Pang, Miaoqi, Wang, Hongtao, Huang, Jiayang, Vong, Chi-Man, Zeng, Zhiqiang, Chen, Chuangquan

“… challenges in developing subject-specific cross-session emotion recognition models. To simultaneously address these challenges, we propose a unified pre-training framework based on multi-scale masked autoencoders (MSMAE…”
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Visual prediction method based on time series-driven LSTM model by Jumahong, Huxidan, Wang, Yongjie, Aili, Abuduwaili, Wang, Weina

“…Significant progress has been made in time series prediction and image processing problems. However, most of the studies have focused on either the field of…”
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Self Pre-Training with Adaptive Mask Autoencoders for Variable-Contrast 3D Medical Imaging by Das, Badhan Kumar, Zhao, Gengyan, Liu, Han, Re, Thomas J., Comaniciu, Dorin, Gibson, Eli, Maier, Andreas

“… To address this limitation, we propose a 3D Adaptive Masked Autoencoders (AMAE) architecture that accommodates a variable number of 3D input contrasts per subject…”
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Exploring Long-Sequence Masked Autoencoders by Hu, Ronghang, Debnath, Shoubhik, Xie, Saining, Chen, Xinlei

“… In contrast to discrete tokens in natural languages, the input for image MAE is continuous and subject to additional specifications…”
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Spotting Suspicious Academic Citations Using Self-Learning Graph Transformers by Avros, Renata, Haim, Mor Ben, Madar, Almog, Ravve, Elena, Volkovich, Zeev

“… This method utilizes perturbations of a deep embedding model, integrating Graph-Masked Autoencoders to merge textual information with evidence of graph connectivity…”
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Privacy Protection in MRI Scans Using 3D Masked Autoencoders by Lennart Alexander Van der Goten, Smith, Kevin

“… to possibly identify the subject by cross-referencing a database. Data anonymization and de-identification is concerned with ensuring the privacy and confidentiality of individuals' personal information…”
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Fluid Antenna System Liberating Multiuser MIMO for ISAC via Deep Reinforcement Learning by Wang, Chao, Li, Guo, Zhang, Haibin, Wong, Kai-Kit, Li, Zan, Ng, Derrick Wing Kwan, Chae, Chan-Byoung

“…) to maximize the sum-rate of the downlink users subject to a sensing constraint. The unique feature of this setup is that the locations of the antenna ports at the FAS can be optimized jointly with the precoding design to achieve a higher sum-rate…”
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Improving ballistocardiogram-based continuous heart rate variability monitoring: A self-supervised learning approach by Wu, Chuanmin, Qiu, Jiafeng, Shen, Gang

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Multi-View Self-Supervised Domain Adaptation for EEG-Based Emotion Recognition by Zhang, Lu, Shi, Hanwen, Li, Ziyi, Zheng, Wei-Long, Lu, Bao-Liang

“… the last two problems mentioned above. Specifically, we add a multi-class domain discriminator to construct the adversarial relationship between the sub-networks so that distribution discrepancy of different subjects can be reduced effectively…”
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Gram: A Large-Scale General EEG Model for Raw Data Classification and Restoration Tasks by Li, Ziyi, Zheng, Wei-Long, Lu, Bao-Liang

“…) The second stage features a multi-view layer-fusion masked autoencoder that exploits EEG's complex Temporal and Spectral views through dual training objectives…”
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