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Showing 8151–8200 of 9169 papers

TitleStatusHype
Detection of Structural Change in Geographic Regions of Interest by Self Organized Mapping: Las Vegas City and Lake Mead across the YearsCode0
Bag of Recurrence Patterns Representation for Time-Series Classification—0
Non-Linear Temporal Subspace Representations for Activity Recognition—0
Kinetic Compressive Sensing—0
Inferring network connectivity from event timing patternsCode0
Scalable photonic reinforcement learning by time-division multiplexing of laser chaos—0
MOrdReD: Memory-based Ordinal Regression Deep Neural Networks for Time Series ForecastingCode0
Nonlinear Deconvolution by Sampling Biophysically Plausible Hemodynamic Models—0
Classification of simulated radio signals using Wide Residual Networks for use in the search for extra-terrestrial intelligenceCode0
An Incremental Boolean Tensor Factorization approach to model Change Patterns of Objects in Images—0
Jumping VaR: Order Statistics Volatility Estimator for Jumps Classification and Market Risk ModelingCode1
Seglearn: A Python Package for Learning Sequences and Time SeriesCode0
Reservoir computing approaches for representation and classification of multivariate time seriesCode0
An Unsupervised Multivariate Time Series Kernel Approach for Identifying Patients with Surgical Site Infection from Blood Samples—0
Efficient Recurrent Neural Networks using Structured Matrices in FPGAs—0
Dynamic Natural Language Processing with Recurrence Quantification AnalysisCode0
Learning non-Gaussian Time Series using the Box-Cox Gaussian Process—0
Forecasting Economics and Financial Time Series: ARIMA vs. LSTM—0
Theory and Algorithms for Forecasting Time Series—0
Capturing Structure Implicitly from Time-Series having Limited DataCode0
Generalised Structural CNNs (SCNNs) for time series data with arbitrary graph topology—0
Adaptive Kernel Estimation of the Spectral Density with Boundary Kernel Analysis—0
Sales forecasting using WaveNet within the framework of the Kaggle competition—0
Deep reinforcement learning for time series: playing idealized trading gamesCode0
Detecting Nonlinear Causality in Multivariate Time Series with Sparse Additive Models—0
ARMDN: Associative and Recurrent Mixture Density Networks for eRetail Demand Forecasting—0
Construction of neural networks for realization of localized deep learning—0
DeepMoTIon: Learning to Navigate Like Humans—0
Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model—0
Applicability and interpretation of the deterministic weighted cepstral distanceCode0
Precision and Recall for Time SeriesCode0
Improving Optimization for Models With Continuous Symmetry Breaking—0
Fast Robust Methods for Singular State-Space Models—0
Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization—0
M3Fusion: A Deep Learning Architecture for Multi-Scale/Modal/Temporal satellite data fusionCode0
SAFE: Spectral Evolution Analysis Feature Extraction for Non-Stationary Time Series Prediction—0
A bootstrap test to detect prominent Granger-causalities across frequenciesCode0
Synthetic Control Methods and Big Data—0
A High GOPs/Slice Time Series Classifier for Portable and Embedded Biomedical Applications—0
Missing Data in Sparse Transition Matrix Estimation for Sub-Gaussian Vector Autoregressive Processes—0
Model Agnostic Time Series Analysis via Matrix EstimationCode0
Symmetric thermal optimal path and time-dependent lead-lag relationship: Novel statistical tests and application to UK and US real-estate and monetary policies—0
Time Series Learning using Monotonic Logical Properties—0
Diffusion Maps meet Nyström—0
Structured low-rank matrix completion for forecasting in time series analysis—0
Learning Causally-Generated Stationary Time Series—0
Deep learning algorithm for data-driven simulation of noisy dynamical system—0
Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification—0
Nonparametric Bayesian Sparse Graph Linear Dynamical Systems—0
Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long Short-Term Memory Networks—0
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