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Showing 4201–4250 of 9169 papers

TitleStatusHype
Spatio-Temporal Wind Speed Forecasting using Graph Networks and Novel Transformer ArchitecturesCode1
Global RTK Positioning in Graphical State SpaceCode1
A restricted eigenvalue condition for unit-root non-stationary data—0
Riesz-Quincunx-UNet Variational Auto-Encoder for Satellite Image DenoisingCode0
A statistical test of market efficiency based on information theory—0
Time Series Clustering with an EM algorithm for Mixtures of Linear Gaussian State Space ModelsCode0
Evaluating the Planning and Operational Resilience of Electrical Distribution Systems with Distributed Energy Resources using Complex Network Theory—0
Spectrum of non-Hermitian deep-Hebbian neural networks—0
Time-to-Green predictions for fully-actuated signal control systems with supervised learning—0
DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time SeriesCode0
Towards an Awareness of Time Series Anomaly Detection Models' Adversarial VulnerabilityCode0
Explainable AI for tailored electricity consumption feedback -- an experimental evaluation of visualizations—0
Transfer Learning-based State of Health Estimation for Lithium-ion Battery with Cycle Synchronization—0
Ordinal analysis of lexical patterns—0
Multimodal Crop Type Classification Fusing Multi-Spectral Satellite Time Series with Farmers Crop Rotations and Local Crop Distribution—0
Inter- and Intra-Series Embeddings Fusion Network for Epidemiological ForecastingCode0
We Are in This Together: Quantifying Community Subjective Wellbeing and Resilience—0
A surrogate gradient spiking baseline for speech command recognitionCode1
Predicting the Biological Classification of Cell-Cycle Regulated Genes of Saccharomyces cerevisiae using Community Detection Algorithms on Gene Co-expression Networks—0
ArNet-ECG: Deep Learning for the Detection of Atrial Fibrillation from the Raw Electrocardiogram—0
Towards an AI-based Early Warning System for Bridge Scour—0
Prediction of good reaction coordinates and future evolution of MD trajectories using Regularized Sparse Autoencoders: A novel deep learning approach—0
Shapelet-Based Counterfactual Explanations for Multivariate Time SeriesCode0
Latent Neural Stochastic Differential Equations for Change Point DetectionCode0
AA-Forecast: Anomaly-Aware Forecast for Extreme EventsCode1
Stop&Hop: Early Classification of Irregular Time SeriesCode1
From Time Series to Networks in R with the ts2net PackageCode1
Simulation-Informed Revenue Extrapolation with Confidence Estimate for Scaleup Companies Using Scarce Time-Series DataCode1
A decomposition of book structure through ousiometric fluctuations in cumulative word-time—0
Expressing Multivariate Time Series as Graphs with Time Series Attention TransformerCode1
An Unsupervised Short- and Long-Term Mask Representation for Multivariate Time Series Anomaly DetectionCode1
Diffusion-based Time Series Imputation and Forecasting with Structured State Space ModelsCode2
Efficient data-driven gap filling of satellite image time series using deep neural networks with partial convolutionsCode1
A Two-stream Convolutional Network for Musculoskeletal and Neurological Disorders PredictionCode0
Network inference via process motifs for lagged correlation in linear stochastic processes—0
Sequence Prediction Under Missing Data : An RNN Approach Without Imputation—0
KDD CUP 2022 Wind Power Forecasting Team 88VIP Solution—0
NeurIPS Competition Instructions and Guide: Causal Insights for Learning Paths in Education—0
Transformer-Based Deep Learning Model for Stock Price Prediction: A Case Study on Bangladesh Stock Market—0
ODformer: Spatial-Temporal Transformers for Long Sequence Origin-Destination Matrix Forecasting Against Cross Application Scenario—0
Progressive Cross-modal Knowledge Distillation for Human Action Recognition—0
Expressivity of Hidden Markov Chains vs. Recurrent Neural Networks from a system theoretic viewpoint—0
Time is limited on the road to asymptopia—0
Neural Networks for Extreme Quantile Regression with an Application to Forecasting of Flood RiskCode1
Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives—0
Grasping Core Rules of Time Series through Pure Models—0
Confidence-Guided Learning Process for Continuous Classification of Time Series—0
Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series ClassificationCode2
An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain InjuryCode0
Feature-Based Time-Series Analysis in R using the theft PackageCode1
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