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Showing 6901–6950 of 9169 papers

TitleStatusHype
Anomaly Detection in Univariate Time-series: A Survey on the State-of-the-Art—0
The fractal time growth of COVID-19 pandemic: an accurate self-similar model, and urgent conclusions—0
When Ramanujan meets time-frequency analysis in complicated time series analysis—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
Financial Market Trend Forecasting and Performance Analysis Using LSTM—0
Machine Learning Algorithms for Financial Asset Price Forecasting—0
Adversarial Attacks on Multivariate Time Series—0
A Spatio-Temporal Spot-Forecasting Framework for Urban Traffic PredictionCode1
Half-empty or half-full? A Hybrid Approach to Predict Recycling Behavior of Consumers to Increase Reverse Vending Machine Uptime—0
Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation modelCode0
Difference Attention Based Error Correction LSTM Model for Time Series Prediction—0
High-dimensional mixed-frequency IV regression—0
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
Proximity-Based Active Learning on Streaming Data: A Personalized Eating Moment RecognitionCode0
Circulant Singular Spectrum Analysis: A new automated procedure for signal extraction—0
Correlated daily time series and forecasting in the M4 competitionCode0
New Perspectives on the Use of Online Learning for Congestion Level Prediction over Traffic Data—0
Spatiotemporal Adaptive Neural Network for Long-term Forecasting of Financial Time Series—0
ABBA: Adaptive Brownian bridge-based symbolic aggregation of time series—0
Triad State Space Construction for Chaotic Signal Classification with Deep Learning—0
Zero-shot and few-shot time series forecasting with ordinal regression recurrent neural networks—0
FastDTW is approximate and Generally Slower than the Algorithm it ApproximatesCode1
TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications—0
Spatio-Temporal Graph Convolution for Resting-State fMRI AnalysisCode1
Scalable Deployment of AI Time-series Models for IoT—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
TSFEL: Time Series Feature Extraction LibraryCode2
One model is not enough: heterogeneity in cryptocurrencies' multifractal profiles—0
Improving Irregularly Sampled Time Series Learning with Dense Descriptors of Time—0
Locating line and node disturbances in networks of diffusively coupled dynamical agents—0
Human Activity Recognition from Wearable Sensor Data Using Self-AttentionCode1
Construe: a software solution for the explanation-based interpretation of time seriesCode1
BrazilDAM: A Benchmark dataset for Tailings Dam DetectionCode0
Market states: A new understanding—0
Time series and machine learning to forecast the water quality from satellite data—0
Drift-Adjusted And Arbitrated Ensemble Framework For Time Series Forecasting—0
Context-dependent self-exciting point processes: models, methods, and risk bounds in high dimensions—0
PCNN: Deep Convolutional Networks for Short-term Traffic Congestion Prediction—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
Deep learning-based sequential pattern mining for progressive database—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
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