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Showing 6951–7000 of 9169 papers

TitleStatusHype
A dynamic conditional approach to portfolio weights forecasting—0
Uncovering the Dynamics of Correlation Structures Relative to the Collective Market Motion—0
Towards Accurate Predictions and Causal 'What-if' Analyses for Planning and Policy-making: A Case Study in Emergency Medical Services Demand—0
The new face of multifractality: Multi-branchedness and the phase transitions in time series of mean inter-event times—0
Explicit Domain Adaptation with Loosely Coupled Samples—0
Sensor selection on graphs via data-driven node sub-sampling in network time series—0
A Graph-constrained Changepoint Detection Approach for ECG Segmentation—0
Uncertainty Modelling in Risk-averse Supply Chain Systems Using Multi-objective Pareto Optimization—0
Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility—0
Applications of shapelet transform to time series classification of earthquake, wind and wave data—0
Pattern-based Long Short-term Memory for Mid-term Electrical Load Forecasting—0
Memory and forecasting capacities of nonlinear recurrent networks—0
A New Metric for Lumpy and Intermittent Demand Forecasts: Stock-keeping-oriented Prediction Error Costs—0
Structural clustering of volatility regimes for dynamic trading strategies—0
A Deep Learning Approach for Motion Forecasting Using 4D OCT Data—0
Characters as Graphs: Recognizing Online Handwritten Chinese Characters via Spatial Graph Convolutional Network—0
Network Anomaly Detection based on Tensor Decomposition—0
A Benchmark Study on Time Series Clustering—0
A Critical Overview of Privacy-Preserving Approaches for Collaborative Forecasting—0
COVID-19 Time-series Prediction by Joint Dictionary Learning and Online NMFCode0
Tree Echo State Autoencoders with GrammarsCode0
Predicting Online Item-choice Behavior: A Shape-restricted Regression Perspective—0
Kernels for time series with irregularly-spaced multivariate observations—0
Forecasting Multi-Dimensional Processes over Graphs—0
Exploring time-series motifs through DTW-SOM—0
Outlier detection at the parcel-level in wheat and rapeseed crops using multispectral and SAR time series—0
Predictability of Power Grid Frequency—0
A Time Series Analysis-Based Stock Price Prediction Using Machine Learning and Deep Learning Models—0
Coronavirus (COVID-19): ARIMA based time-series analysis to forecast near future—0
Rapidly evaluating lockdown strategies using spectral analysis: the cycles behind new daily COVID-19 cases and what happens after lockdown—0
Asset Pricing with General Transaction Costs: Theory and Numerics—0
Conditional-UNet: A Condition-aware Deep Model for Coherent Human Activity Recognition From Wearables—0
Hidden Markov Neural Networks—0
Co-eye: A Multi-resolution Symbolic Representation to TimeSeries Diversified Ensemble Classification—0
Minority Oversampling for Imbalanced Time Series ClassificationCode0
Contrastive Blind Denoising Autoencoder for Real-Time Denoising of Industrial IoT Sensor Data—0
Detecting Driver's Distraction using Long-term Recurrent Convolutional Network—0
A tale of two toolkits, report the third: on the usage and performance of HIVE-COTE v1.0—0
The leverage effect and other stylized facts displayed by Bitcoin returns—0
Hybrid Attention Networks for Flow and Pressure Forecasting in Water Distribution Systems—0
Clustering Time Series Data through Autoencoder-based Deep Learning Models—0
On Error Correction Neural Networks for Economic Forecasting—0
Industrial Forecasting with Exponentially Smoothed Recurrent Neural Networks—0
Mixture Density Conditional Generative Adversarial Network Models (MD-CGAN)—0
Probabilistic Spatial Transformer NetworksCode0
Forecasting in multivariate irregularly sampled time series with missing values—0
Challenges in Forecasting Malicious Events from Incomplete Data—0
TSInsight: A local-global attribution framework for interpretability in time-series data—0
ReRe: A Lightweight Real-time Ready-to-Go Anomaly Detection Approach for Time Series—0
ForecastTB An R Package as a Test-Bench for Time Series Forecasting Application of Wind Speed and Solar Radiation Modeling—0
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