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Showing 5251–5300 of 9169 papers

TitleStatusHype
An Accurate Smartphone Battery Parameter Calibration Using Unscented Kalman Filter—0
Generative Optimization Networks for Memory Efficient Data GenerationCode0
Anomaly Transformer: Time Series Anomaly Detection with Association DiscrepancyCode2
Overcoming limited battery data challenges: A coupled neural network approach—0
Bayesian autoregressive spectral estimation—0
Networked Time Series Prediction with Incomplete Data via Generative Adversarial Network—0
RapidAI4EO: A Corpus for Higher Spatial and Temporal Reasoning—0
Interpreting intermediate convolutional layers in unsupervised acoustic word classification—0
Attention Augmented Convolutional Transformer for Tabular Time-series—0
Truth-Conditional Captioning of Time Series DataCode1
HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization—0
Cross-Modal Virtual Sensing for Combustion Instability Monitoring—0
SMATE: Semi-Supervised Spatio-Temporal Representation Learning on Multivariate Time SeriesCode1
Predicting Flat-Fading Channels via Meta-Learned Closed-Form Linear Filters and Equilibrium PropagationCode0
Classification of Time-Series Data Using Boosted Decision TreesCode0
Empirical Quantitative Analysis of COVID-19 Forecasting Models—0
State-Space Models Win the IEEE DataPort Competition on Post-covid Day-ahead Electricity Load Forecasting—0
Uncertainty, volatility and the persistence norms of financial time series—0
PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series—0
Two ways towards combining Sequential Neural Network and Statistical Methods to Improve the Prediction of Time Series—0
Multi Scale Graph Wavenet for Wind Speed Forecasting—0
Feature Selection on a Flare Forecasting Testbed: A Comparative Study of 24 MethodsCode0
CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial LearningCode1
LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values—0
An Optimally Weighted Echo State Neural Network for Highly Chaotic Time Series Modelling—0
Long-term Prediction of Nonlinear Time Series Using Autoencoder and Echo State Networks—0
A Study of Aggregation of Long Time-series Input for LSTM Neural Networks—0
Objective Evaluation of Deep Visual Interpretations on Time Series Data—0
ACCTS: an Adaptive Model Training Policy for Continuous Classification of Time Series—0
CDPS: Constrained DTW-Preserving Shapelets—0
Causal Triple Attention Time Series Forecasting—0
Tractable Dendritic RNNs for Identifying Unknown Nonlinear Dynamical Systems—0
TRAKR – A reservoir-based tool for fast and accurate classification of neural time-series patterns—0
T-WaveNet: A Tree-Structured Wavelet Neural Network for Time Series Signal Analysis—0
Multi-Task Processes—0
DIVERSIFY to Generalize: Learning Generalized Representations for Time Series Classification—0
TS-BERT: A fusion model for Pre-trainning Time Series-Text Representations—0
Less is more: Selecting the right benchmarking set of data for time series classification—0
Mixed-Memory RNNs for Learning Long-term Dependencies in Irregularly Sampled Time Series—0
Selective Cross-Domain Consistency Regularization for Time Series Domain Generalization—0
Iterative Bilinear Temporal-Spectral Fusion for Unsupervised Representation Learning in Time Series—0
Neural Markov Controlled SDE: Stochastic Optimization for Continuous-Time Data—0
Predicting subscriber usage: Analyzing multi-dimensional time-series using Convolutional Neural Networks—0
SCformer: Segment Correlation Transformer for Long Sequence Time Series Forecasting—0
Time Delay Estimation of Traffic Congestion Based on Statistical Causality—0
When Complexity Is Good: Do We Need Recurrent Deep Learning For Time Series Outlier Detection?—0
Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and ForecastingCode1
Coherence-based Label Propagation over Time Series for Accelerated Active Learning—0
Cluster-based Feature Importance Learning for Electronic Health Record Time-series—0
Modelling neuronal behaviour with time series regression: Recurrent Neural Networks on synthetic C. elegans data—0
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