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Showing 1751–1800 of 9169 papers

TitleStatusHype
Coherent probabilistic forecasts for hierarchical time series—0
Coincident Learning for Unsupervised Anomaly Detection—0
Cointegration of SARS-CoV-2 Transmission with Weather Conditions and Mobility during the First Year of the COVID-19 Pandemic in the United States—0
Cointegration with Occasionally Binding Constraints—0
Collaborative adversary nodes learning on the logs of IoT devices in an IoT network—0
Collaborative Imputation of Urban Time Series through Cross-city Meta-learning—0
Approximation algorithms for confidence bands for time series—0
Collaborative Multiobjective Evolutionary Algorithms in search of better Pareto Fronts. An application to trading systems—0
Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems—0
Collective Anomaly Detection based on Long Short Term Memory Recurrent Neural Network—0
Coloured noise time series as appropriate models for environmental variation in artificial evolutionary systems—0
Combating Uncertainties in Wind and Distributed PV Energy Sources Using Integrated Reinforcement Learning and Time-Series Forecasting—0
Algorithmic Recourse for Anomaly Detection in Multivariate Time Series—0
COMBINED FLEXIBLE ACTIVATION FUNCTIONS FOR DEEP NEURAL NETWORKS—0
Combined Unbalanced Distribution System State and Line Impedance Matrix Estimation—0
Combining Deep Learning and GARCH Models for Financial Volatility and Risk Forecasting—0
CLPVG: Circular limited penetrable visibility graph as a new network model for time series—0
Combining Embeddings and Fuzzy Time Series for High-Dimensional Time Series Forecasting in Internet of Energy Applications—0
Approximating DTW with a convolutional neural network on EEG data—0
Combining Forecasts using Meta-Learning: A Comparative Study for Complex Seasonality—0
Combining Machine Learning with Knowledge-Based Modeling for Scalable Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal Systems—0
Combining multitemporal optical and SAR data for LAI imputation with BiLSTM network—0
Combining observational and experimental data to find heterogeneous treatment effects—0
Are Synthetic Time-series Data Really not as Good as Real Data?—0
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers—0
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers—0
A Kalman Filter Framework for Resolving 3D Displacement Field Time Series By Combining Multitrack Multitemporal InSAR and GNSS Horizontal Velocities—0
Combining time-series and textual data for taxi demand prediction in event areas: a deep learning approach—0
Cross-border Commodity Pricing Strategy Optimization via Mixed Neural Network for Time Series Analysis—0
Common Correlated Effects Estimation of Nonlinear Panel Data Models—0
Common patterns between dengue cases, climate, and local environmental variables in Costa Rica: A Wavelet Approach—0
Common Trends and Long-Run Identification in Nonlinear Structural VARs—0
Cloud Cover Nowcasting with Deep Learning—0
A Review and Evaluation of Elastic Distance Functions for Time Series Clustering—0
Co-Morbidity Exploration on Wearables Activity Data Using Unsupervised Pre-training and Multi-Task Learning—0
Compact representation of temporal processes in echosounder time series via matrix decomposition—0
Comparative analysis of criteria for filtering time series of word usage frequencies—0
A Review of Changepoint Detection Models—0
Approximate Probabilistic Inference for Time-Series Data A Robust Latent Gaussian Model With Temporal Awareness—0
Comparative analysis of Mixed-Data Sampling (MIDAS) model compared to Lag-Llama model for inflation nowcasting—0
Closed-form Inference and Prediction in Gaussian Process State-Space Models—0
Comparative Analysis of the Hidden Markov Model and LSTM: A Simulative Approach—0
Approximate Newton-based statistical inference using only stochastic gradients—0
Comparative Analysis of Zero-Shot Capability of Time-Series Foundation Models in Short-Term Load Prediction—0
Comparative Computational Analysis of Global Structure in Canonical, Non-Canonical and Non-Literary Texts—0
Comparative Study of Bitcoin Price Prediction—0
Comparative study of clustering models for multivariate time series from connected medical devices—0
Comparative Study of Machine Learning Models for Stock Price Prediction—0
Comparative Study of Predicting Stock Index Using Deep Learning Models—0
Evolutionary Optimization of 1D-CNN for Non-contact Respiration Pattern Classification—0
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