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Showing 2451–2475 of 9169 papers

TitleStatusHype
Anomaly Detection in Univariate Time-series: A Survey on the State-of-the-Art—0
Byte Pair Encoding for Efficient Time Series Forecasting—0
"Butterfly Effect" vs Chaos in Energy Futures Markets—0
A Functional approach for Two Way Dimension Reduction in Time Series—0
Business Metric-Aware Forecasting for Inventory Management—0
Business Cycle Synchronization in the EU: A Regional-Sectoral Look through Soft-Clustering and Wavelet Decomposition—0
Anomaly Detection in Time Series of EDFA Pump Currents to Monitor Degeneration Processes using Fuzzy Clustering—0
Bursty and persistent properties of large-scale brain networks revealed with a point-based method for dynamic functional connectivity—0
Anomaly Detection in Time Series Data Using Reinforcement Learning, Variational Autoencoder, and Active Learning—0
A Set-Sequence Model for Time Series—0
Don't Forget The Past: Recurrent Depth Estimation from Monocular Video—0
Building Models for Biopathway Dynamics Using Intrinsic Dimensionality Analysis—0
Anomaly Detection in Predictive Maintenance: A New Evaluation Framework for Temporal Unsupervised Anomaly Detection Algorithms—0
Dominant Shuffle: A Simple Yet Powerful Data Augmentation for Time-series Prediction—0
Building Deep Learning Models to Predict Mortality in ICU Patients—0
DOMINO: Domain-invariant Hyperdimensional Classification for Multi-Sensor Time Series Data—0
Don't overfit the history -- Recursive time series data augmentation—0
Double Diffusion Maps and their Latent Harmonics for Scientific Computations in Latent Space—0
Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction—0
Activations Through Extensions: A Framework To Boost Performance Of Neural Networks—0
Building a Multivariate Time Series Benchmarking Datasets Inspired by Natural Language Processing (NLP)—0
Building a Fuel Moisture Model for the Coupled Fire-Atmosphere Model WRF-SFIRE from Data: From Kalman Filters to Recurrent Neural Networks—0
Anomaly detection in laser-guided vehicles' batteries: a case study—0
Domain-invariant Feature Exploration for Domain Generalization—0
BSSAD: Towards A Novel Bayesian State-Space Approach for Anomaly Detection in Multivariate Time Series—0
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