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Showing 5151–5200 of 9169 papers

TitleStatusHype
Stock Price Prediction Using Time Series, Econometric, Machine Learning, and Deep Learning Models—0
Brain dynamics via Cumulative Auto-Regressive Self-Attention—0
Continuous Convolutional Neural Networks: Coupled Neural PDE and ODE—0
ECG synthesis with Neural ODE and GAN models—0
Robust and efficient change point detection using novel multivariate rank-energy GoF test—0
Aligned Multi-Task Gaussian Process—0
Cause-effect inference through spectral independence in linear dynamical systems: theoretical foundations—0
Improved FRQI on superconducting processors and its restrictions in the NISQ era—0
Click-Based Student Performance Prediction: A Clustering Guided Meta-Learning Approach—0
Multi-Task Neural ProcessesCode0
Physics-Driven Learning of Wasserstein GAN for Density Reconstruction in Dynamic TomographyCode0
Coresets for Time Series Clustering—0
Using Time-Series Privileged Information for Provably Efficient Learning of Prediction ModelsCode0
Deeptime: a Python library for machine learning dynamical models from time series dataCode1
Warped Dynamic Linear Models for Time Series of CountsCode0
GACAN: Graph Attention-Convolution-Attention Networks for Traffic Forecasting Based on Multi-granularity Time Series—0
Forecasting with a Panel Tobit Model—0
Validation Methods for Energy Time Series Scenarios from Deep Generative Models—0
Testing and Estimating Structural Breaks in Time Series and Panel Data in StataCode1
MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data—0
ClaSP - Time Series SegmentationCode1
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers—0
Cluster-and-Conquer: A Framework For Time-Series Forecasting—0
Deep Explicit Duration Switching Models for Time SeriesCode1
Non-Gaussian Gaussian Processes for Few-Shot RegressionCode1
Data-Driven Time Series Reconstruction for Modern Power Systems Research—0
Applying Regression Conformal Prediction with Nearest Neighbors to time series data—0
Probabilistic Hierarchical Forecasting with Deep Poisson Mixtures—0
On Learning Prediction-Focused Mixtures—0
Neural Flows: Efficient Alternative to Neural ODEsCode1
Logsig-RNN: a novel network for robust and efficient skeleton-based action recognitionCode1
Contrastive Neural Processes for Self-Supervised LearningCode1
A Pipeline for Graph-Based Monitoring of the Changes in the Information Space of Russian Social Media during the Lockdown—0
Deep Neural Networks on EEG Signals to Predict Auditory Attention Score Using Gramian Angular Difference Field—0
Path Signature Area-Based Causal Discovery in Coupled Time SeriesCode0
Reconstruction of Sentinel-2 Time Series Using Robust Gaussian Mixture Models -- Application to the Detection of Anomalous Crop Development in wheat and rapeseed crops—0
Clustering Market Regimes using the Wasserstein DistanceCode0
DMS, AE, DAA: methods and applications of adaptive time series model selection, ensemble, and financial evaluationCode0
An Empirical Evaluation of Time-Series Feature SetsCode1
High-resolution rainfall-runoff modeling using graph neural network—0
Stock exchange shares ranking and binary-ternary compressive coding—0
Adversarial attacks against Bayesian forecasting dynamic models—0
The R package sentometrics to compute, aggregate and predict with textual sentiment—0
Power Line Communication and Sensing Using Time Series Forecasting—0
Forecasting Market Prices using DL with Data Augmentation and Meta-learning: ARIMA still wins!—0
Random Feature Approximation for Online Nonlinear Graph Topology Identification—0
Graph-based Local Climate Classification in Iran—0
SentimentArcs: A Novel Method for Self-Supervised Sentiment Analysis of Time Series Shows SOTA Transformers Can Struggle Finding Narrative ArcsCode1
Towards Better Long-range Time Series Forecasting using Generative Adversarial Networks—0
Using Clinical Drug Representations for Improving Mortality and Length of Stay PredictionsCode0
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