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Showing 2251–2300 of 9169 papers

TitleStatusHype
Rank Supervised Contrastive Learning for Time Series Classification—0
Let's roll back! The challenging task of regulating temporary contracts—0
Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading IndicatorsCode2
Positional Encoding Helps Recurrent Neural Networks Handle a Large VocabularyCode0
A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint PredictionCode1
Distillation Enhanced Time Series Forecasting Network with Momentum Contrastive LearningCode0
Liquid Resistance Liquid Capacitance Networks—0
Time Series Supplier Allocation via Deep Black-Litterman Model—0
Diffusion model for relational inferenceCode0
Dynamical Survival Analysis with Controlled Latent StatesCode0
Encoding Temporal Statistical-space Priors via Augmented Representation—0
Sparse Portfolio Selection via Topological Data Analysis based Clustering—0
Addressing Distribution Shift in Time Series Forecasting with Instance Normalization Flows—0
TrackGPT -- A generative pre-trained transformer for cross-domain entity trajectory forecasting—0
Symbolic-numeric algorithm for parameter estimation in discrete-time models withCode0
Validation, Robustness, and Accuracy of Perturbation-Based Sensitivity Analysis Methods for Time-Series Deep Learning Models—0
Efficient Observation Time Window Segmentation for Administrative Data Machine Learning—0
Treatment of Epistemic Uncertainty in Conjunction Analysis with Dempster-Shafer Theory—0
GT-PCA: Effective and Interpretable Dimensionality Reduction with General Transform-Invariant Principal Component AnalysisCode0
Evaluation of k-means time series clustering based on z-normalization and NP-Free—0
Analog and Multi-modal Manufacturing Datasets Acquired on the Future Factories PlatformCode0
Benchmarking with MIMIC-IV, an irregular, spare clinical time series dataset—0
Fuzzy clustering of circular time series based on a new dependence measure with applications to wind data—0
SCANIA Component X Dataset: A Real-World Multivariate Time Series Dataset for Predictive Maintenance—0
Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection—0
Interpreting Time Series Transformer Models and Sensitivity Analysis of Population Age Groups to COVID-19 InfectionsCode0
Discovering group dynamics in coordinated time series via hierarchical recurrent switching-state models—0
A Survey of Deep Learning and Foundation Models for Time Series Forecasting—0
Dynamic Long-Term Time-Series Forecasting via Meta Transformer NetworksCode0
MTRGL:Effective Temporal Correlation Discerning through Multi-modal Temporal Relational Graph Learning—0
Edge Conditional Node Update Graph Neural Network for Multi-variate Time Series Anomaly Detection—0
Self and mutually exciting point process embedding flexible residuals and intensity with discretely Markovian dynamics—0
Weakly supervised covariance matrices alignment through Stiefel matrices estimation for MEG applications—0
TNANet: A Temporal-Noise-Aware Neural Network for Suicidal Ideation Prediction with Noisy Physiological Data—0
pyAKI - An Open Source Solution to Automated KDIGO classification—0
Sparse identification of nonlinear dynamics in the presence of library and system uncertainty—0
Transformers with Attentive Federated Aggregation for Time Series Stock Forecasting—0
Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting—0
Analyzing the Impact of Financial Inclusion on Economic Growth in Bangladesh—0
PlasmoData.jl -- A Julia Framework for Modeling and Analyzing Complex Data as GraphsCode1
TreeMIL: A Multi-instance Learning Framework for Time Series Anomaly Detection with Inexact SupervisionCode1
DACR: Distribution-Augmented Contrastive Reconstruction for Time-Series Anomaly Detection—0
Data Augmentation for Traffic Classification—0
Learning-assisted Stochastic Capacity Expansion Planning: A Bayesian Optimization Approach—0
MELODY: Robust Semi-Supervised Hybrid Model for Entity-Level Online Anomaly Detection with Multivariate Time Series—0
Deep Generative Modeling for Financial Time Series with Application in VaR: A Comparative Review—0
Optimizing Medication Decisions for Patients with Atrial Fibrillation through Path Development Network—0
Machine learning approach to detect dynamical states from recurrence measures—0
PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly DetectionCode1
Deep Dict: Deep Learning-based Lossy Time Series Compressor for IoT Data—0
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