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Showing 7001–7050 of 9169 papers

TitleStatusHype
Generating Similarity Map for COVID-19 Transmission Dynamics with Topological Autoencoder—0
Spatio-Temporal Graph Structure Learning for Traffic Forecasting—0
Modeling Rare Interactions in Time Series Data Through Qualitative Change: Application to Outcome Prediction in Intensive Care Units—0
Anomaly Detection in Univariate Time-series: A Survey on the State-of-the-Art—0
Time-varying volatility in Bitcoin market and information flow at minute-level frequency—0
Stationarity of Time-Series on Graph via Bivariate Translation Invariance—0
When Ramanujan meets time-frequency analysis in complicated time series analysis—0
Financial Market Trend Forecasting and Performance Analysis Using LSTM—0
The fractal time growth of COVID-19 pandemic: an accurate self-similar model, and urgent conclusions—0
Machine Learning Algorithms for Financial Asset Price Forecasting—0
Adversarial Attacks on Multivariate Time Series—0
A wavelet analysis of inter-dependence, contagion and long memory among global equity markets—0
Current state of nonlinear-type time-frequency analysis and applications to high-frequency biomedical signals—0
Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation modelCode0
Half-empty or half-full? A Hybrid Approach to Predict Recycling Behavior of Consumers to Increase Reverse Vending Machine Uptime—0
Difference Attention Based Error Correction LSTM Model for Time Series Prediction—0
High-dimensional mixed-frequency IV regression—0
Proximity-Based Active Learning on Streaming Data: A Personalized Eating Moment RecognitionCode0
A Hybrid Residual Dilated LSTM end Exponential Smoothing Model for Mid-Term Electric Load Forecasting—0
Ensemble Forecasting of Monthly Electricity Demand using Pattern Similarity-based Methods—0
Correlated daily time series and forecasting in the M4 competitionCode0
Circulant Singular Spectrum Analysis: A new automated procedure for signal extraction—0
Spatiotemporal Adaptive Neural Network for Long-term Forecasting of Financial Time Series—0
New Perspectives on the Use of Online Learning for Congestion Level Prediction over Traffic Data—0
ABBA: Adaptive Brownian bridge-based symbolic aggregation of time series—0
Zero-shot and few-shot time series forecasting with ordinal regression recurrent neural networks—0
Triad State Space Construction for Chaotic Signal Classification with Deep Learning—0
Scalable Deployment of AI Time-series Models for IoT—0
TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications—0
Integrating Physiological Time Series and Clinical Notes with Deep Learning for Improved ICU Mortality Prediction—0
Data-Driven Failure Prediction in Brittle Materials: A Phase-Field Based Machine Learning Framework—0
G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes—0
The Internet of Things as a Deep Neural Network—0
Deep Markov Spatio-Temporal FactorizationCode0
One model is not enough: heterogeneity in cryptocurrencies' multifractal profiles—0
Improving Irregularly Sampled Time Series Learning with Dense Descriptors of Time—0
BrazilDAM: A Benchmark dataset for Tailings Dam DetectionCode0
Locating line and node disturbances in networks of diffusively coupled dynamical agents—0
Context-dependent self-exciting point processes: models, methods, and risk bounds in high dimensions—0
Time series and machine learning to forecast the water quality from satellite data—0
PCNN: Deep Convolutional Networks for Short-term Traffic Congestion Prediction—0
Drift-Adjusted And Arbitrated Ensemble Framework For Time Series Forecasting—0
Market states: A new understanding—0
Day Level Forecasting for Coronavirus Disease (COVID-19) Spread: Analysis, Modeling and Recommendations—0
A CNN–LSTM model for gold price time-series forecasting—0
Hybrid Cryptocurrency Pump and Dump Detection—0
Phase-randomised Fourier transform model for the generation of synthetic wind speeds—0
EB-dynaRE: Real-Time Adjustor for Brownian Movement with Examples of Predicting Stock Trends Based on a Novel Event-Based Supervised Learning Algorithm—0
Dynamic transformation of prior knowledge into Bayesian models for data streamsCode0
Deep learning-based sequential pattern mining for progressive database—0
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