:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Soley, Nidhi, Patel, Vishal M, Taylor, Casey O
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning
Accesso online:	https://arxiv.org/abs/2510.02558
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

MinGRU-Based Encoder for Turbo Autoencoder Frameworks
di: Fritschek, Rick, et al.
Pubblicazione: (2025)

GRU-D Characterizes Age-Specific Temporal Missingness in MIMIC-IV
di: Giesa, Niklas, et al.
Pubblicazione: (2024)

MCI-GRU: Stock Prediction Model Based on Multi-Head Cross-Attention and Improved GRU
di: Zhu, Peng, et al.
Pubblicazione: (2024)

FTT-GRU: A Hybrid Fast Temporal Transformer with GRU for Remaining Useful Life Prediction
di: Chirukiri, Varun Teja, et al.
Pubblicazione: (2025)

STLGRU: Spatio-Temporal Lightweight Graph GRU for Traffic Flow Prediction
di: Bhaumik, Kishor Kumar, et al.
Pubblicazione: (2022)

Explainable Unsupervised Multi-Anomaly Detection and Temporal Localization in Nuclear Times Series Data with a Dual Attention-Based Autoencoder
di: Vasili, Konstantinos, et al.
Pubblicazione: (2025)

Budgeted Attention Allocation: Cost-Conditioned Compute Control for Efficient Transformers
di: Nidhi, Amrit
Pubblicazione: (2026)

Attention-Based Offline Reinforcement Learning and Clustering for Interpretable Sepsis Treatment
di: Kumar, Punit, et al.
Pubblicazione: (2026)

Wearable-Derived Behavioral and Physiological Biomarkers for Classifying Unipolar and Bipolar Depression Severity
di: Ouzar, Yassine, et al.
Pubblicazione: (2025)

Deep Multimodal Subspace Clustering Networks
di: Abavisani, Mahdi, et al.
Pubblicazione: (2018)

Explaining Clustering of Ecological Momentary Assessment Data Through Temporal and Feature Attention
di: Ntekouli, Mandani, et al.
Pubblicazione: (2024)

Inductive Power Grid Cascading Failure Analysis with GRU-Gated Graph Attention
di: Zhou, Tianxin, et al.
Pubblicazione: (2026)

Depression Detection Based on Electroencephalography Using a Hybrid Deep Neural Network CNN-GRU and MRMR Feature Selection
di: Yousefi, Mohammad Reza, et al.
Pubblicazione: (2026)

A Novel Hybrid Approach Using an Attention-Based Transformer + GRU Model for Predicting Cryptocurrency Prices
di: Mahdi, Esam, et al.
Pubblicazione: (2025)

Learning to Pay Attention: Unsupervised Modeling of Attentive and Inattentive Respondents in Survey Data
di: Triantafyllopoulos, Ilias, et al.
Pubblicazione: (2026)

Convolutional Spiking-based GRU Cell for Spatio-temporal Data
di: Abdennadher, Yesmine, et al.
Pubblicazione: (2025)

STRAP: Spatial-Temporal Risk-Attentive Vehicle Trajectory Prediction for Autonomous Driving
di: Ning, Xinyi, et al.
Pubblicazione: (2025)

Pace: Physics-Aware Attentive Temporal Convolutional Network for Battery Health Estimation
di: Sameer, Sara, et al.
Pubblicazione: (2025)

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks
di: Fang, Taoran, et al.
Pubblicazione: (2025)

Bi-GRU Based Deception Detection using EEG Signals
di: Avola, Danilo, et al.
Pubblicazione: (2025)

Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics
di: Wu, Liming, et al.
Pubblicazione: (2024)

TAU: Modeling Temporal Consistency Through Temporal Attentive U-Net for PPG Peak Detection
di: Zuo, Chunsheng, et al.
Pubblicazione: (2025)

An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention
di: Shin, Yehjin, et al.
Pubblicazione: (2023)

Channel-Attentive Graph Neural Networks
di: Karabulut, Tuğrul Hasan, et al.
Pubblicazione: (2025)

Attention based Bidirectional GRU hybrid model for inappropriate content detection in Urdu language
di: Shoukat, Ezzah, et al.
Pubblicazione: (2025)

Integrative Deep Learning Framework for Parkinson's Disease Early Detection using Gait Cycle Data Measured by Wearable Sensors: A CNN-GRU-GNN Approach
di: Rashnu, Alireza, et al.
Pubblicazione: (2024)

MSGAT-GRU: A Multi-Scale Graph Attention and Recurrent Model for Spatiotemporal Road Accident Prediction
di: Pinjala, Thrinadh, et al.
Pubblicazione: (2025)

Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification
di: Noman, Fuad, et al.
Pubblicazione: (2021)

Learning on the Manifold: Unlocking Standard Diffusion Transformers with Representation Encoders
di: Kumar, Amandeep, et al.
Pubblicazione: (2026)

Face-to-Face: A Video Dataset for Multi-Person Interaction Modeling
di: Chu, Ernie, et al.
Pubblicazione: (2026)

MC-GRU:a Multi-Channel GRU network for generalized nonlinear structural response prediction across structures
di: He, Shan, et al.
Pubblicazione: (2025)

Attention Based Molecule Generation via Hierarchical Variational Autoencoder
di: Sivanesan, Divahar
Pubblicazione: (2024)

Residual GRU+MHSA: A Lightweight Hybrid Recurrent Attention Model for Cardiovascular Disease Detection
di: Dash, Tejaswani, et al.
Pubblicazione: (2025)

SEA-ViT: Sea Surface Currents Forecasting Using Vision Transformer and GRU-Based Spatio-Temporal Covariance Modeling
di: Panboonyuen, Teerapong
Pubblicazione: (2024)

Variational Linear Attention: Stable Associative Memory for Long-Context Transformers
di: Pandey, Vishal, et al.
Pubblicazione: (2026)

Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions
di: Erturk, Eray, et al.
Pubblicazione: (2025)

Human Activity Recognition from Wearable Sensor Data Using Self-Attention
di: Mahmud, Saif, et al.
Pubblicazione: (2020)

Weighted Temporal Decay Loss for Learning Wearable PPG Data with Sparse Clinical Labels
di: Chung, Yunsung, et al.
Pubblicazione: (2026)

B-TGAT: A Bi-directional Temporal Graph Attention Transformer for Clustering Multivariate Spatiotemporal Data
di: Nji, Francis Ndikum, et al.
Pubblicazione: (2025)

Shape-Informed Clustering of Multi-Dimensional Functional Data via Deep Functional Autoencoders
di: Singh, Samuel, et al.
Pubblicazione: (2025)