Výsledky vyhledávání - "Multimodal autoencoder"

DenoMAE: A Multimodal Autoencoder for Denoising Modulation Signals Autor Faysal, Atik, Boushine, Taha, Rostami, Mohammad, Roshan, Reihaneh Gh, Wang, Huaxia, Muralidhar, Nikhil, Sahoo, Avimanyu, Yao, Yu-Dong

“…We propose Denoising Masked Autoencoder (DenoMAE), a novel multimodal autoencoder framework for denoising modulation signals during pretraining…”
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Deep multimodal autoencoder for crack criticality assessment Autor Launay, Hugo, Ryckelynck, David, Lacourt, Laurent, Besson, Jacques, Mondon, Arnaud, Willot, Francois

“… A multimodal autoencoder enables to mix morphological and mechanical data. It contains a single…”
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Joint ECG–EMG–EEG signal compression and reconstruction with incremental multimodal autoencoder approach Autor Dasan, Evangelin, Gnanaraj, Rajakumar

“…Through wearable technology, several chronic diseases are diagnosed by long-term monitoring of vital signs specifically ECG, EMG, EEG biosignals. Such…”
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MOADE: a multimodal autoencoder for dissociating bulk multi-omics data Autor Sun, Jiao, Malik, Ayesha A., Lin, Tong, Bratton, Ayla, Pan, Yue, Smith, Kyle, Onar-Thomas, Arzu, Robinson, Giles W., Zhang, Wei, Northcott, Paul A., Li, Qian

“… Here, we present MOADE, a multimodal autoencoder pipeline linking multi-dimensional features to jointly predict personalized multi-omic profiles and cellular compositions, using pseudo-bulk data…”
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Multimodal Autoencoder Predicts fNIRS Resting State From EEG Signals Autor Sirpal, Parikshat, Damseh, Rafat, Peng, Ke, Nguyen, Dang Khoa, Lesage, Frédéric

“…In this work, we introduce a deep learning architecture for evaluation on multimodal electroencephalographic (EEG) and functional near-infrared spectroscopy…”
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Author Correction: MOADE: a multimodal autoencoder for dissociating bulk multi-omics data Autor Sun, Jiao, Malik, Ayesha A., Lin, Tong, Bratton, Ayla, Pan, Yue, Smith, Kyle, Onar-Thomas, Arzu, Robinson, Giles W., Zhang, Wei, Northcott, Paul A., Li, Qian

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A deep multimodal autoencoder-decoder framework for customer churn prediction incorporating chat-GPT Autor Li, Yun, Xia, Guoen, Wang, Su, Li, Ying

“… Specifically, to better deal with the heterogeneity and consistency problems in the acquired multimodal data, in this paper we propose a multimodal autoencoder-decoder framework for customer churn…”
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Multimodal Imputation-Based Multimodal Autoencoder Framework for AQI Classification and Prediction of Indian Cities Autor Srinivasa Rao, Routhu, Rao Kalabarige, Lakshmana, Holla, M. Raviraja, Kumar Sahu, Aditya

“…) with the features of multi-modal autoencoder (MMA) and fed to an XGBoost(XGB) algorithm for AQI prediction and classification…”
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SecMa: A Novel Multimodal Autoencoder Framework for Encrypted IoT Traffic Analysis and Attack Detection Autor Ravi, V., Poornima, A. S.

“… This paper proposes SecMa, a novel multimodal autoencoder framework designed to address these limitations in encrypted IoT traffic analysis and attack detection…”
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Recognizing Bearings’ Degradation Stage Using Multimodal Autoencoder to Learn Features from Different Time Series Autor Alfeo, Antonio Luca, Cimino, Mario G. C. A., Gagliardi, Guido

“…Utilizing machine learning technologies to monitor assets’ health conditions can improve the effectiveness of maintenance activities. However, accurately…”
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Multimodal autoencoder: A deep learning approach to filling in missing sensor data and enabling better mood prediction Autor Jaques, Natasha, Taylor, Sara, Sano, Akane, Picard, Rosalind

“…: the Multimodal Autoencoder (MMAE). Empirical results from over 200 participants and 5500 days of data demonstrate that the MMAE is able to predict the feature values from multiple missing modalities more accurately than reconstruction…”
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MODE: high-resolution digital dissociation with deep multimodal autoencoder Autor Sun, Jiao, Malik, Ayesha A, Lin, Tong, Bratton, Ayla, Pan, Yue, Smith, Kyle, Onar-Thomas, Arzu, Robinson, Giles W, Zhang, Wei, Northcott, Paul A, Li, Qian

“… Here, we present MODE, a multimodal autoencoder pipeline linking multi-dimensional features to jointly predict personalized multi-omic profiles and cellular compositions, using pseudo-bulk data…”
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An Attention Fusion-Based Multimodal Autoencoder Deepfake Detection Framework Autor Hu, Tong, Liu, Wei, Fan, Yaqi, Yang, Jie, Qiao, Yuanyuan

“… To overcome the limitations of single-modal analysis and tackle challenges such as large-scale datasets and high annotation costs, we propose an Attention Fusion-based Multimodal AutoEncoder (AFM-AE) Framework…”
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Score-Based Multimodal Autoencoder Autor Wesego, Daniel, Rooshenas, Pedram

“…Multimodal Variational Autoencoders (VAEs) represent a promising group of generative models that facilitate the construction of a tractable posterior within…”
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Social-MAE: A Transformer-Based Multimodal Autoencoder for Face and Voice Autor Bohy, Hugo, Tran, Minh, El Haddad, Kevin, Dutoit, Thierry, Soleymani, Mohammad

“…Human social behaviors are inherently multi-modal necessitating the development of powerful audiovisual models for their perception. In this paper, we present…”
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Enhancing Music Recommendation with Social Media Content: an Attentive Multimodal Autoencoder Approach Autor Shen, Tiancheng, Jia, Jia, Li, Yan, Wang, Hanjie, Chen, Bo

“… We define groups of both targeted handcrafted features and generic deep features for each modality, and further propose an Attentive Multimodal Autoencoder approach (AMAE…”
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Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data Autor Karim, Md. Rezaul, Wicaksono, Galih, Costa, Ivan G., Decker, Stefan, Beyan, Oya

“…Cancer is one of the deadliest diseases caused by abnormal behaviors of genes that control the cell division and growth. Genomics data and clinical outcomes…”
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High-resolution digital dissociation of brain tumors with deep multimodal autoencoder Autor Jiao, Sun, Pan, Yue, Lin, Tong, Smith, Kyle, Onar-Thomas, Arzu, Robinson, Giles W, Zhang, Wei, Northcott, Paul A, Li, Qian

“…, chromatin accessibility, DNA methylation, protein) due to ambiguous cell markers. Here, we introduce MODE, a novel multimodal autoencoder neural network designed…”
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An Efficient and Explanatory Image and Text Clustering System with Multimodal Autoencoder Architecture Autor Shi, Tiancheng, Yuanchen Wei, Kender, John R

“…We demonstrate the efficiencies and explanatory abilities of extensions to the common tools of Autoencoders and LLM interpreters, in the novel context of…”
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INTERNATIONAL PATENT: GOOGLE LLC FILES APPLICATION FOR "MULTIMODAL AUTOENCODER"

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