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Showing 4451–4500 of 9169 papers

TitleStatusHype
Analyzing categorical time series with the R package ctsfeatures—0
Interpretable Mixture of Experts—0
Augmenting Physiological Time Series Data: A Case Study for Sleep Apnea Detection—0
Analyzing and Predicting Low-Listenership Trends in a Large-Scale Mobile Health Program: A Preliminary Investigation—0
Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach—0
A Deep Structural Model for Analyzing Correlated Multivariate Time Series—0
Kernel-based Optimally Weighted Conformal Prediction Intervals—0
Kernel distance measures for time series, random fields and other structured data—0
Interpretable Classification of Time-Series Data using Efficient Enumerative Techniques—0
Deep Analysis of Time Series Data for Smart Grid Startup Strategies: A Transformer-LSTM-PSO Model Approach—0
Analytics of Business Time Series Using Machine Learning and Bayesian Inference—0
Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes—0
Interdependency between the Stock Market and Financial News—0
Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation—0
KEDformer:Knowledge Extraction Seasonal Trend Decomposition for Long-term Sequence Prediction—0
Augmented Bilinear Network for Incremental Multi-Stock Time-Series Classification—0
Interactive Counterfactual Generation for Univariate Time Series—0
KDCTime: Knowledge Distillation with Calibration on InceptionTime for Time-series Classification—0
Augmentation of EEG and ECG Time Series for Deep Learning Applications: Integrating Changepoint Detection into the iAAFT Surrogates—0
Integration of Mamba and Transformer -- MAT for Long-Short Range Time Series Forecasting with Application to Weather Dynamics—0
Deconvolution of the Functional Ultrasound Response in the Mouse Visual Pathway Using Block-Term Decomposition—0
A Bayesian Deep Learning Framework for End-To-End Prediction of Emotion from Heartbeat—0
K-ARMA Models for Clustering Time Series Data—0
KDD CUP 2022 Wind Power Forecasting Team 88VIP Solution—0
KENN: Enhancing Deep Neural Networks by Leveraging Knowledge for Time Series Forecasting—0
Kernel Estimation for Panel Data with Heterogeneous Dynamics—0
Kinetic Compressive Sensing—0
KODA: A Data-Driven Recursive Model for Time Series Forecasting and Data Assimilation using Koopman Operators—0
Integrating Physiological Time Series and Clinical Notes with Transformer for Early Prediction of Sepsis—0
Integrating Physiological Time Series and Clinical Notes with Deep Learning for Improved ICU Mortality Prediction—0
Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems—0
Intelligently Augmented Contrastive Tensor Factorization: Empowering Multi-dimensional Time Series Classification in Low-Data Environments—0
Deconfounding Time Series Forecasting—0
A Two-Way Transformed Factor Model for Matrix-Variate Time Series—0
Integrating Domain Knowledge in Data-driven Earth Observation with Process Convolutions—0
Interactive dense pixel visualizations for time series and model attribution explanations—0
Decomposition of Time Series Data of Stock Markets and its Implications for Prediction: An Application for the Indian Auto Sector—0
Deep Air Quality Forecasting Using Hybrid Deep Learning Framework—0
Interpolation and Gap Filling of Landsat Reflectance Time Series—0
Deep Amortized Variational Inference for Multivariate Time Series Imputation with Latent Gaussian Process Models—0
Interpretable Additive Recurrent Neural Networks For Multivariate Clinical Time Series—0
Interpretable Categorization of Heterogeneous Time Series Data—0
Integrated Time Series Summarization and Prediction Algorithm and its Application to COVID-19 Data Mining—0
Interpretable Conservation Law Estimation by Deriving the Symmetries of Dynamics from Trained Deep Neural Networks—0
Interpretable Deep Learning for Forecasting Online Advertising Costs: Insights from the Competitive Bidding Landscape—0
Interpretable Feature Construction for Time Series Extrinsic Regression—0
Interpretable Feature Engineering for Time Series Predictors using Attention Networks—0
Interpretable Latent Variables in Deep State Space Models—0
Integrated Modeling and Forecasting of Electric Vehicles Charging Profiles Based on Real Data—0
Analysis, Online Estimation, and Validation of a Competing Virus Model—0
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