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Showing 2701–2750 of 9169 papers

TitleStatusHype
Gaussian processes based data augmentation and expected signature for time series classification—0
A Machine Learning-based Algorithm for Automated Detection of Frequency-based Events in Recorded Time Series of Sensor Data—0
Neural Tangent Kernels Motivate Graph Neural Networks with Cross-Covariance Graphs—0
Large Models for Time Series and Spatio-Temporal Data: A Survey and OutlookCode4
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following StrategiesCode2
Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Survey—0
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series ForecastingCode1
A decoder-only foundation model for time-series forecastingCode6
ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning—0
OBSUM: An object-based spatial unmixing model for spatiotemporal fusion of remote sensing imagesCode1
Comparison between Conventional Load Flow, QSTS Simulation, and Dynamic Simulation to Assess the Operation of Step Voltage Regulators in Active Distribution Networks—0
Effects of cavity nonlinearities and linear losses on silicon microring-based reservoir computing—0
Semi-Supervised End-To-End Contrastive Learning For Time Series Classification—0
A novel decomposed-ensemble time series forecasting framework: capturing underlying volatility information—0
Measuring the Stability of Process Outcome Predictions in Online SettingsCode0
DDMT: Denoising Diffusion Mask Transformer Models for Multivariate Time Series Anomaly Detection—0
Counterfactual Explanations for Time Series ForecastingCode1
Lag-Llama: Towards Foundation Models for Probabilistic Time Series ForecastingCode3
Understanding the Humans Behind Online Misinformation: An Observational Study Through the Lens of the COVID-19 Pandemic—0
Detection and prediction of clopidogrel treatment failures using longitudinal structured electronic health records—0
On Extreme Value Asymptotics of Projected Sample Covariances in High Dimensions with Applications in Finance and Convolutional Networks—0
Large Language Models Are Zero-Shot Time Series ForecastersCode2
A Survey of Feature Types and Their Contributions for Camera Tampering Detection—0
Precise localization within the GI tract by combining classification of CNNs and time-series analysis of HMMs—0
Semantic Association Rule Learning from Time Series Data and Knowledge Graphs—0
NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time-Series PretrainingCode1
Quantum-Enhanced Forecasting: Leveraging Quantum Gramian Angular Field and CNNs for Stock Return Predictions—0
Generalized Mixture Model for Extreme Events Forecasting in Time Series Data—0
Model-based Clustering of Individuals' Ecological Momentary Assessment Time-series Data for Improving Forecasting Performance—0
ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction HorizonsCode2
Bidirectional recurrent imputation and abundance estimation of LULC classes with MODIS multispectral time series and geo-topographic and climatic dataCode0
A Variational Autoencoder Framework for Robust, Physics-Informed Cyberattack Recognition in Industrial Cyber-Physical Systems—0
iTransformer: Inverted Transformers Are Effective for Time Series ForecastingCode6
Discovering Mixtures of Structural Causal Models from Time Series DataCode1
S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification modelsCode1
Predicting Three Types of Freezing of Gait Events Using Deep Learning Models—0
Projecting infinite time series graphs to finite marginal graphs using number theory—0
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity AnalysisCode3
NetTiSA: Extended IP Flow with Time-series Features for Universal Bandwidth-constrained High-speed Network Traffic ClassificationCode0
Performative Time-Series ForecastingCode0
Pain Forecasting using Self-supervised Learning and Patient Phenotyping: An attempt to prevent Opioid Addiction—0
Temporal Convolutional Explorer Helps Understand 1D-CNN's Learning Behavior in Time Series Classification from Frequency DomainCode1
LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection—0
Deep Optimal Timing Strategies for Time SeriesCode0
Successive Data Injection in Conditional Quantum GAN Applied to Time Series Anomaly Detection—0
Clustering Three-Way Data with Outliers—0
Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps DomainCode1
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series ForecastingCode1
Tool Wear Segmentation in Blanking Processes with Fully Convolutional Networks based Digital Image Processing—0
AI-Based Decadal Predictive Analysis of Twenty Infectious Diseases in China with an Improved BSTS-MCMC Model—0
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