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Showing 7301–7350 of 9169 papers

TitleStatusHype
Deep Dict: Deep Learning-based Lossy Time Series Compressor for IoT Data—0
Shape-CD: Change-Point Detection in Time-Series Data with Shapes and Neurons—0
AutoCTS: Automated Correlated Time Series Forecasting -- Extended Version—0
Analyzing Spatio-Temporal Dynamics of Dissolved Oxygen for the River Thames using Superstatistical Methods and Machine Learning—0
Market-Based Price Autocorrelation—0
Introduction of L0 norm and application of L1 and C1 norm in the study of time-series—0
Deep Diabetologist: Learning to Prescribe Hyperglycemia Medications with Hierarchical Recurrent Neural Networks—0
Deep Decomposition for Stochastic Normal-Abnormal Transport—0
Shapelets for earthquake detection—0
ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological Signal Classification—0
AutoCas: Autoregressive Cascade Predictor in Social Networks via Large Language Models—0
Sharing Features among Dynamical Systems with Beta Processes—0
Introducing Randomized High Order Fuzzy Cognitive Maps as Reservoir Computing Models: A Case Study in Solar Energy and Load Forecasting—0
Shortening Time Required for Adaptive Structural Learning Method of Deep Belief Network with Multi-Modal Data Arrangement—0
Introducing Hybrid Modeling with Time-series-Transformers: A Comparative Study of Series and Parallel Approach in Batch Crystallization—0
Use Short Isometric Shapelets to Accelerate Binary Time Series Classification—0
Short note on the behavior of recurrent neural network for noisy dynamical system—0
Short Term Blood Glucose Prediction based on Continuous Glucose Monitoring Data—0
Introducing Data Primitives: Data Formats for the SKED Framework—0
Short-term Demand Forecasting for Online Car-hailing Services using Recurrent Neural Networks—0
AutoAI-TS: AutoAI for Time Series Forecasting—0
Short-Term Memory Convolutions—0
Experimental Investigation of Variational Mode Decomposition and Deep Learning for Short-Term Multi-horizon Residential Electric Load Forecasting—0
Short-term power load forecasting method based on CNN-SAEDN-Res—0
Short-term Prediction of Household Electricity Consumption Using Customized LSTM and GRU Models—0
Short-term prediction of Time Series based on bounding techniques—0
Analyzing Poverty through Intra-Annual Time-Series: A Wavelet Transform Approach—0
A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis—0
A Multilayered Block Network Model to Forecast Large Dynamic Transportation Graphs: an Application to US Air Transport—0
Short-term time series prediction using Hilbert space embeddings of autoregressive processes—0
Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework—0
Short-Term Traffic Forecasting Using High-Resolution Traffic Data—0
Short-term Wind Speed Forecasting based on LSSVM Optimized by Elitist QPSO—0
Short-Term Wind-Speed Forecasting Using Kernel Spectral Hidden Markov Models—0
IntrinsicTimescales.jl: A Julia package to estimate intrinsic (neural) timescales (INTs) from time-series data—0
Deep COVID-19 Forecasting for Multiple States with Data Augmentation—0
Intrinsic Anomaly Detection for Multi-Variate Time Series—0
Exploring the Role of Token in Transformer-based Time Series Forecasting—0
Deep Coupling Network For Multivariate Time Series Forecasting—0
Side Channel-Assisted Inference Leakage from Machine Learning-based ECG Classification—0
Intra-domain and cross-domain transfer learning for time series data -- How transferable are the features?—0
Intraday trading strategy based on time series and machine learning for Chinese stock market—0
Intra-day Activity Better Predicts Chronic Conditions—0
Signal automata and hidden Markov models—0
Autism Spectrum Disorder Classification using Graph Kernels on Multidimensional Time Series—0
Interval-Valued Time Series Classification Using D_K-Distance—0
Signal Fluctuation Sensitivity: an improved metric for optimizing detection of resting-state fMRI networks—0
Signal-noise separation using unsupervised reservoir computing—0
Signal Processing on Graphs: Causal Modeling of Unstructured Data—0
Interval Forecasting of Electricity Demand: A Novel Bivariate EMD-based Support Vector Regression Modeling Framework—0
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