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Showing 3101–3150 of 9169 papers

TitleStatusHype
Context-Aware Ensemble Learning for Time Series—0
Context-aware Domain Adaptation for Time Series Anomaly Detection—0
Context-aware demand prediction in bike sharing systems: incorporating spatial, meteorological and calendrical context—0
Assessing biological models using topological data analysis—0
Evaluating the Planning and Operational Resilience of Electrical Distribution Systems with Distributed Energy Resources using Complex Network Theory—0
Context-Alignment: Activating and Enhancing LLM Capabilities in Time Series—0
Content Removal as a Moderation Strategy: Compliance and Other Outcomes in the ChangeMyView Community—0
A spectral regularisation framework for latent variable models designed for single channel applications—0
Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification—0
Contemporary machine learning: a guide for practitioners in the physical sciences—0
A Spectral Enabled GAN for Time Series Data Generation—0
Construction of neural networks for realization of localized deep learning—0
A spectral clustering-type algorithm for the consistent estimation of the Hurst distribution in moderately high dimensions—0
Construction of a Surrogate Model: Multivariate Time Series Prediction with a Hybrid Model—0
Construction Cost Index Forecasting: A Multi-feature Fusion Approach—0
A Spectral Algorithm for Learning Hidden Markov Models—0
A method for recovery of multidimensional time series based on the detection of behavioral patterns and the use of autoencoders—0
A Method for Massively Parallel Analysis of Time Series—0
A Data-Driven Approach for Modeling Stochasticity in Oil Market—0
A CNN based method for Sub-pixel Urban Land Cover Classification using Landsat-5 TM and Resourcesat-1 LISS-IV Imagery—0
Synthetic Time Series for Anomaly Detection in Cloud Microservices—0
Constructing Time Series Shape Association Measures: Minkowski Distance and Data Standardization—0
Constructing Time-Series Momentum Portfolios with Deep Multi-Task Learning—0
A specifically designed machine learning algorithm for GNSS position time series prediction and its applications in outlier and anomaly detection and earthquake prediction—0
Constraints on parameter choices for successful reservoir computing—0
GRACE-C: Generalized Rate Agnostic Causal Estimation via Constraints—0
A Method for Estimating the Entropy of Time Series Using Artificial Neural Networks—0
Constrained Posterior Sampling: Time Series Generation with Hard Constraints—0
A Spatial-Temporal Graph Based Hybrid Infectious Disease Model with Application to COVID-19—0
Constants of Motion for Conserved and Non-conserved Dynamics—0
A Spatial-Temporal Decomposition Based Deep Neural Network for Time Series Forecasting—0
A Metamodel and Framework for Artificial General Intelligence From Theory to Practice—0
A Soft Computing Approach for Selecting and Combining Spectral Bands—0
A Single Scalable LSTM Model for Short-Term Forecasting of Disaggregated Electricity Loads—0
A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky–Golay filter—0
Connecting Surrogate Safety Measures to Crash Probablity via Causal Probabilistic Time Series Prediction—0
A similarity measurement for time series and its application to the stock market—0
A Meta-learning Approach to Reservoir Computing: Time Series Prediction with Limited Data—0
American Hate Crime Trends Prediction with Event Extraction—0
Conformal Prediction with Temporal Quantile Adjustments—0
Conformal Predictions for Longitudinal Data—0
A Signal Detection Scheme Based on Deep Learning in OFDM Systems—0
A Short Survey of Topological Data Analysis in Time Series and Systems Analysis—0
Conformal Prediction on Quantifying Uncertainty of Dynamic Systems—0
A Short Image Series Based Scheme for Time Series Digital Image Correlation—0
Adaptive Weighting Scheme for Automatic Time-Series Data Augmentation—0
Conformal Prediction Interval Estimations with an Application to Day-Ahead and Intraday Power Markets—0
A Shapelet Transform for Multivariate Time Series Classification—0
Conformal Prediction for Hierarchical Data—0
Conformal Prediction Bands for Two-Dimensional Functional Time Series—0
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