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Showing 5301–5350 of 9169 papers

TitleStatusHype
Evaluating the Robustness of Time Series Anomaly and Intrusion Detection Methods against Adversarial Attacks—0
Modelling neuronal behaviour with time series regression: Recurrent Neural Networks on synthetic C. elegans data—0
BLUnet: Arithmetic-free Inference with Bit-serialised Table Lookup Operation for Efficient Deep Neural Networks—0
MECATS: Mixture-of-Experts for Probabilistic Forecasts of Aggregated Time Series—0
Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and ForecastingCode1
Loss meta-learning for forecasting—0
Taking ROCKET on an efficiency mission: A distributed solution for fast and accurate multivariate time series classification—0
Automatic Forecasting via Meta-Learning—0
Spatiotemporal Representation Learning on Time Series with Dynamic Graph ODEs—0
Information-Aware Time Series Meta-Contrastive Learning—0
Huber Additive Models for Non-stationary Time Series Analysis—0
TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting—0
Context-invariant, multi-variate time series representations—0
SegTime: Precise Time Series Segmentation without Sliding Window—0
LatTe Flows: Latent Temporal Flows for Multivariate Sequence Analysis—0
Provably Calibrated Regression Under Distribution Drift—0
IIT-GAN: Irregular and Intermittent Time-series Synthesis with Generative Adversarial Networks—0
A Systematic Evaluation of Domain Adaptation Algorithms On Time Series Data—0
Modeling Variable Space with Residual Tensor Networks for Multivariate Time Series—0
Sample Complexity of the Robust LQG Regulator with Coprime Factors Uncertainty—0
Adaptive Bayesian Sum of Trees Model for Covariate Dependent Spectral Analysis—0
Second-Order Neural ODE OptimizerCode1
Cross-Camera Human Motion Transfer by Time Series AnalysisCode0
Kernel distance measures for time series, random fields and other structured data—0
Variational Inference for Continuous-Time Switching Dynamical Systems—0
Sequential Deep Learning Architectures for Anomaly Detection in Virtual Network Function Chains—0
Random Dilated Shapelet Transform: A New Approach for Time Series ShapeletsCode1
The VVAD-LRS3 Dataset for Visual Voice Activity Detection—0
Anomaly Detection for High-Dimensional Data Using Large Deviations Principle—0
Macroeconomic forecasting with LSTM and mixed frequency time series data—0
Lithium-ion Battery State of Health Estimation based on Cycle Synchronization using Dynamic Time Warping—0
Improving Time Series Classification Algorithms Using Octave-Convolutional Layers—0
Neural ODE Processes: A Short SummaryCode1
Empirics on the expressiveness of Randomized Signature—0
Time Series Model Attribution Visualizations as Explanations—0
Improving the Thermal Infrared Monitoring of Volcanoes: A Deep Learning Approach for Intermittent Image Series—0
Fully Spiking Variational AutoencoderCode1
Bitcoin Volatility and Intrinsic Time Using Double Subordinated Levy Processes—0
System Identification in Multi-Actuator Hard Disk Drives with Colored Noises using Observer/Kalman Filter Identification (OKID) Framework—0
Improving the spectral resolution of fMRI signals through the temporal de-correlation approach—0
Long-Range Transformers for Dynamic Spatiotemporal ForecastingCode1
Influence of Mobility Restrictions on Transmission of COVID-19 in the state of Maryland -- the USA—0
Modeling of Low Rank Time Series—0
Distributed Estimation of Sparse Inverse Covariances—0
Indoor Localization Using Smartphone Magnetic with Multi-Scale TCN and LSTM—0
Temporal Convolutional Attention Neural Networks for Time Series ForecastingCode1
IRMAC: Interpretable Refined Motifs in Binary Classification for Smart Grid Applications—0
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time SeriesCode1
Deep Learning with Kernel Flow Regularization for Time Series Forecasting—0
High-dimensional regression with potential prior information on variable importanceCode0
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