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Showing 8401–8450 of 9169 papers

TitleStatusHype
Anomaly Detection for a Water Treatment System Using Unsupervised Machine Learning—0
Motif-based Rule Discovery for Predicting Real-valued Time Series—0
On Early-stage Debunking Rumors on Twitter: Leveraging the Wisdom of Weak Learners—0
Cascaded Region-based Densely Connected Network for Event Detection: A Seismic Application—0
Discovering Potential Correlations via Hypercontractivity—0
Support Spinor Machine—0
R2N2: Residual Recurrent Neural Networks for Multivariate Time Series Forecasting—0
RNN-based Early Cyber-Attack Detection for the Tennessee Eastman Process—0
Basic Filters for Convolutional Neural Networks Applied to Music: Training or Design?—0
Tensor Representation in High-Frequency Financial Data for Price Change Prediction—0
Towards social pattern characterization in egocentric photo-streams—0
Boosting the kernelized shapelets: Theory and algorithms for local features—0
Predicting Remaining Useful Life using Time Series Embeddings based on Recurrent Neural Networks—0
Forecasting Consumer Spending from Purchase Intentions Expressed on Social Media—0
A State-Space Approach to Dynamic Nonnegative Matrix Factorization—0
Can Agent-Based Models Probe Market Microstructure?—0
Interpretable Categorization of Heterogeneous Time Series Data—0
On the Reconstruction Risk of Convolutional Sparse Dictionary LearningCode0
m-TSNE: A Framework for Visualizing High-Dimensional Multivariate Time Series—0
Boltzmann machines for time-series—0
Applying Deep Bidirectional LSTM and Mixture Density Network for Basketball Trajectory Prediction—0
Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction—0
Some stylized facts of the Bitcoin market—0
Effects of pitch and timing expectancy on musical emotion—0
Deep Recurrent Neural Networks for mapping winter vegetation quality coverage via multi-temporal SAR Sentinel-1—0
Time Series Anomaly Detection; Detection of anomalous drops with limited features and sparse examples in noisy highly periodic data—0
Hypotheses testing on infinite random graphs—0
Anomaly Detection on Graph Time Series—0
Anomaly Detection in Multivariate Non-stationary Time Series for Automatic DBMS DiagnosisCode0
Detecting early signs of depressive and manic episodes in patients with bipolar disorder using the signature-based model—0
Tensorial Recurrent Neural Networks for Longitudinal Data Analysis—0
Coherent probabilistic forecasts for hierarchical time series—0
Nonnegative Matrix Factorization for Time Series Recovery From a Few Temporal Aggregates—0
Uncertainty Assessment and False Discovery Rate Control in High-Dimensional Granger Causal Inference—0
Bidirectional learning for time-series models with hidden units—0
Spurious memory in non-equilibrium stochastic models of imitative behavior—0
Detecting and Explaining Causes From Text For a Time Series EventCode0
A Comparative Study of the Clinical use of Motion Analysis from Kinect Skeleton Data—0
Direct Load Control of Thermostatically Controlled Loads Based on Sparse Observations Using Deep Reinforcement Learning—0
Copy the dynamics using a learning machine—0
Cell cycle time series gene expression data encoded as cyclic attractors in Hopfield systems—0
Deep Forecast: Deep Learning-based Spatio-Temporal ForecastingCode0
Time Series Compression Based on Adaptive Piecewise Recurrent Autoencoder—0
A signature-based machine learning model for bipolar disorder and borderline personality disorderCode0
Lagrange regularisation approach to compare nested data sets and determine objectively financial bubbles' inceptions—0
Ultraslow diffusion in language: Dynamics of appearance of already popular adjectives on Japanese blogs—0
Prolongation of SMAP to Spatio-temporally Seamless Coverage of Continental US Using a Deep Learning Neural Network—0
Recovering Latent Signals from a Mixture of Measurements using a Gaussian Process Prior—0
Correlations and Flow of Information between The New York Times and Stock Markets—0
Deep Learning to Attend to Risk in ICU—0
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