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Showing 3351–3400 of 9169 papers

TitleStatusHype
Devil in the Detail: Attack Scenarios in Industrial Applications—0
Factor-augmented sparse MIDAS regressions with an application to nowcasting—0
AI-Powered Predictions for Electricity Load in Prosumer Communities—0
Adaptive Forecasting of Non-Stationary Nonlinear Time Series Based on the Evolving Weighted Neuro-Neo-Fuzzy-ANARX-Model—0
Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series—0
Factor Network Autoregressions—0
Fading of collective attention shapes the evolution of linguistic variants—0
FAF: A Feature-Adaptive Framework for Few-Shot Time Series Forecasting—0
Failure Analysis on Multivariate Time-series Data given Uncertain Labels—0
Application of Machine Learning to accidents detection at directional drilling—0
Fairness Hub Technical Briefs: Definition and Detection of Distribution Shift—0
Fairness in Forecasting and Learning Linear Dynamical Systems—0
Classification of Stochastic Processes with Topological Data Analysis—0
Forecasting Market Prices using DL with Data Augmentation and Meta-learning: ARIMA still wins!—0
Fall Detection using Knowledge Distillation Based Long short-term memory for Offline Embedded and Low Power Devices—0
Applying Regression Conformal Prediction with Nearest Neighbors to time series data—0
Applying SVGD to Bayesian Neural Networks for Cyclical Time-Series Prediction and Inference—0
FAR-Trans: An Investment Dataset for Financial Asset Recommendation—0
Forecasting Monthly Residential Natural Gas Demand Using Just-In-Time-Learning Modeling—0
Fast Active Set Methods for Online Spike Inference from Calcium Imaging—0
Compressed Factorization: Fast and Accurate Low-Rank Factorization of Compressively-Sensed Data—0
Classifiers With a Reject Option for Early Time-Series Classification—0
Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive Correlations—0
Fast and interpretable electricity consumption scenario generation for individual consumers—0
Forecasting NIFTY 50 benchmark Index using Seasonal ARIMA time series models—0
DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series—0
Classifying Image Sequences of Astronomical Transients with Deep Neural Networks—0
Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics—0
Fast and Simple Optimization for Poisson Likelihood Models—0
Fast Automatic Feature Selection for Multi-Period Sliding Window Aggregate in Time Series—0
Development of A Stochastic Traffic Environment with Generative Time-Series Models for Improving Generalization Capabilities of Autonomous Driving Agents—0
Fast Convolutive Nonnegative Matrix Factorization Through Coordinate and Block Coordinate Updates—0
Development of a Neural Network-based Method for Improved Imputation of Missing Values in Time Series Data by Repurposing DataWig—0
Development of an Algorithm for Identifying Changes in System Dynamics from Time Series—0
Fast dynamic time warping and clustering in C++—0
Class-Specific Attention (CSA) for Time-Series Classification—0
Faster than LASER -- Towards Stream Reasoning with Deep Neural Networks—0
A Joint Data Compression and Time-Delay Estimation Method For Distributed Systems via Extremum Encoding—0
CLeaRForecast: Contrastive Learning of High-Purity Representations for Time Series Forecasting—0
Beam Prediction based on Large Language Models—0
A New Metric for Lumpy and Intermittent Demand Forecasts: Stock-keeping-oriented Prediction Error Costs—0
Fast Function to Function Regression—0
Development and Evaluation of Recurrent Neural Network based Models for Hourly Traffic Volume and AADT Prediction—0
Fast Gibbs sampling for the local and global trend Bayesian exponential smoothing model—0
Detrended partial cross-correlation analysis of two nonstationary time series influenced by common external forces—0
Fast nonparametric clustering of structured time-series—0
Deterministic Reservoir Computing for Chaotic Time Series Prediction—0
Fast Online Changepoint Detection—0
Determining the Optimal Number of Clusters for Time Series Datasets with Symbolic Pattern Forest—0
BayesLDM: A Domain-Specific Language for Probabilistic Modeling of Longitudinal Data—0
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