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Showing 5351–5400 of 9169 papers

TitleStatusHype
Data-Guided Regulator for Adaptive Nonlinear Control—0
Bidirectional learning for time-series models with hidden units—0
A Deep Learning Framework for Traffic Data Imputation Considering Spatiotemporal Dependencies—0
Mining the Mind: Linear Discriminant Analysis of MEG source reconstruction time series supports dynamic changes in deep brain regions during meditation sessions—0
Motif-based Rule Discovery for Predicting Real-valued Time Series—0
Inductive Predictions of Extreme Hydrologic Events in The Wabash River Watershed—0
MIRA: Medical Time Series Foundation Model for Real-World Health Data—0
Mispronunciation Detection of Basic Quranic Recitation Rules using Deep Learning—0
Data-generating process and time-series asset pricing—0
Inductive Granger Causal Modeling for Multivariate Time Series—0
Missing Data in Sparse Transition Matrix Estimation for Sub-Gaussian Vector Autoregressive Processes—0
Distance-to-Mean Continuous Conditional Random Fields to Enhance Prediction Problem in Traffic Flow Data—0
Indoor Localization Using Smartphone Magnetic with Multi-Scale TCN and LSTM—0
Data-Folding and Hyperspace Coding for Multi-Dimensonal Time-Series Data Imaging—0
Mitigating Cold-start Forecasting using Cold Causal Demand Forecasting Model—0
Mitigating Data Scarcity in Time Series Analysis: A Foundation Model with Series-Symbol Data Generation—0
Mitigating Health Data Poverty: Generative Approaches versus Resampling for Time-series Clinical Data—0
Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation—0
Distinguishing noise from chaos: objective versus subjective criteria using Horizontal Visibility Graph—0
Mixed Delay/Nondelay Embeddings Based Neuromorphic Computing with Patterned Nanomagnet Arrays—0
Attention and Autoencoder Hybrid Model for Unsupervised Online Anomaly Detection—0
Indoor environment data time-series reconstruction using autoencoder neural networks—0
Mixed-Memory RNNs for Learning Long-term Dependencies in Irregularly Sampled Time Series—0
Mixed pooling of seasonality for time series forecasting: An application to pallet transport data—0
Data Exploration and Validation on dense knowledge graphs for biomedical research—0
A Bayesian approach for structure learning in oscillating regulatory networks—0
MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data—0
Distributed Online Learning with Multiple Kernels—0
Mixture Density Conditional Generative Adversarial Network Models (MD-CGAN)—0
Mixture Models for the Analysis, Edition, and Synthesis of Continuous Time Series—0
Distributed Reconstruction of Nonlinear Networks: An ADMM Approach—0
Bi-LSTM Price Prediction based on Attention Mechanism—0
Individual Topology Structure of Eye Movement Trajectories—0
Individualized Time-Series Segmentation for Mining Mobile Phone User Behavior—0
Analysis of Distributional Dynamics for Repeated Cross-Sectional and Intra-Period Observations—0
MLAT: Metric Learning for kNN in Streaming Time Series—0
Distributional Vector Autoregression: Eliciting Macro and Financial Dependence—0
Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data—0
MLFriend: Interactive Prediction Task Recommendation for Event-Driven Time-Series Data—0
Mlinear: Rethink the Linear Model for Time-series Forecasting—0
Monte Carlo Filtering Objectives: A New Family of Variational Objectives to Learn Generative Model and Neural Adaptive Proposal for Time Series—0
MMformer with Adaptive Transferable Attention: Advancing Multivariate Time Series Forecasting for Environmental Applications—0
Mobile Mapping Mesh Change Detection and Update—0
MobilityDL: A Review of Deep Learning From Trajectory Data—0
Individualized Dynamic Latent Factor Model for Multi-resolutional Data with Application to Mobile Health—0
Modality-aware Transformer for Financial Time series Forecasting—0
Individualised recovery trajectories of patients with impeded mobility, using distance between probability distributions of learnt graphs—0
MODA: Motion-Drift Augmentation for Inertial Human Motion Analysis—0
Mod-DeepESN: Modular Deep Echo State Network—0
Attend and Diagnose: Clinical Time Series Analysis using Attention Models—0
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