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Showing 4001–4050 of 9169 papers

TitleStatusHype
AtOMICS: A neural network-based Automated Optomechanical Intelligent Coupling System for testing and characterization of silicon photonics chiplets—0
Monitoring the Dynamic Networks of Stock Returns—0
Non-Stationary Bandits with Auto-Regressive Temporal Dependency—0
Multimodal Estimation of Change Points of Physiological Arousal in DriversCode0
Forecasting Graph Signals with Recursive MIMO Graph Filters—0
Adaptive Estimation of Graphical Models under Total Positivity—0
Cap or No Cap? What Can Governments Do to Promote EV Sales?—0
Sinusoidal Frequency Estimation by Gradient DescentCode1
Predicting the State of Synchronization of Financial Time Series using Cross Recurrence Plots—0
TILDE-Q: A Transformation Invariant Loss Function for Time-Series ForecastingCode1
RapidAI4EO: Mono- and Multi-temporal Deep Learning models for Updating the CORINE Land Cover Product—0
Deep Subspace Encoders for Nonlinear System Identification—0
Rhino: Deep Causal Temporal Relationship Learning With History-dependent Noise—0
Modelling the Bitcoin prices and the media attention to Bitcoin via the jump-type processes—0
Mitigating Health Data Poverty: Generative Approaches versus Resampling for Time-series Clinical Data—0
WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting—0
Preparing fMRI Data for Statistical Analysis—0
Heat Demand Forecasting with Multi-Resolutional Representation of Heterogeneous Temporal Ensemble—0
Novelty Detection in Time Series via Weak Innovations Representation: A Deep Learning Approach—0
Applications of Machine Learning in Pharmacogenomics: Clustering Plasma Concentration-Time Curves—0
FingerFlex: Inferring Finger Trajectories from ECoG signalsCode1
SpectraNet: Multivariate Forecasting and Imputation under Distribution Shifts and Missing DataCode1
Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior—0
Time Series Synthesis via Multi-scale Patch-based Generation of Wavelet Scalogram—0
Theoretical analysis of deep neural networks for temporally dependent observations—0
Multimodal Neural Network For Demand Forecasting—0
Neural ODEs as Feedback Policies for Nonlinear Optimal ControlCode1
Irregularly-Sampled Time Series Modeling with Spline Networks—0
Improving Medical Predictions by Irregular Multimodal Electronic Health Records ModelingCode1
Universal hidden monotonic trend estimation with contrastive learning—0
Soil moisture estimation from Sentinel-1 interferometric observations over arid regionsCode1
Optimal Event Monitoring through Internet Mashup over Multivariate Time Series—0
TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency AnalysisCode1
Layer-wise Relevance Propagation for Echo State Networks applied to Earth System Variability—0
Modelling Emotion Dynamics in Song Lyrics with State Space Models—0
Temporal-Spatial dependencies ENhanced deep learning model (TSEN) for household leverage series forecasting—0
tegdet: An extensible Python Library for Anomaly Detection using Time-Evolving GraphsCode0
Dynamic Topological Data Analysis of Functional Human Brain NetworksCode1
Flipped Classroom: Effective Teaching for Time Series ForecastingCode0
From time-series transcriptomics to gene regulatory networks: a review on inference methods—0
Extreme-Long-short Term Memory for Time-series Prediction—0
Convolutional Neural Networks: Basic Concepts and Applications in Manufacturing—0
Estimation of High-Dimensional Markov-Switching VAR Models with an Approximate EM Algorithm—0
Quantifying Quality of Class-Conditional Generative Models in Time-Series Domain—0
An Empirical Evaluation of Multivariate Time Series Classification with Input Transformation across Different DimensionsCode0
A Large-Scale Annotated Multivariate Time Series Aviation Maintenance Dataset from the NGAFIDCode1
LEAVES: Learning Views for Time-Series Data in Contrastive Learning—0
Early Discovery of Disappearing Entities in Microblogs—0
Anomaly detection in dynamic networksCode0
Marginalized particle Gibbs for multiple state-space models coupled through shared parameters—0
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