time-series

Documents about time-series

• Primary production at time series station DYFAMED from date 1994-01-12#189563DataCite
• Primary production at time series station DYFAMED from date 1994-02-01#189564DataCite
• Primary production at time series station DYFAMED from date 1994-02-09#189565DataCite
• Primary production at time series station DYFAMED from date 1994-03-04#189566DataCite
• Modelo híbrido baseado em séries temporais e redes neurais para previsão da geração de energia eólica#647903RIUFPA
• Dissolved and particulate thorium 234 concentration at time series station DYFAMED from date 1995-05-03#189550DataCite
• Dissolved and particulate thorium 234 concentration at time series station DYFAMED from date 1995-05-07#189551DataCite
• Dissolved and particulate thorium 234 concentration at time series station DYFAMED from date 1995-05-14#189552DataCite
• Dissolved and particulate thorium 234 concentration at time series station DYFAMED from date 1995-05-15#189553DataCite
• Dissolved and particulate thorium 234 concentration at time series station DYFAMED from date 1995-05-19#189554DataCite
• Dissolved and particulate thorium 234 concentration at time series station DYFAMED from date 1995-05-23#189555DataCite
• Dissolved and particulate thorium 234 concentration at time series station DYFAMED from date 1995-05-95#189556DataCite
• Current meter time series of mooring 12930-023#129519DataCite
• Hydrochemistry at time series station Helgoland Roads, North Sea, in 2004#381890DataCite
• Hydrochemistry at time series station Helgoland Roads, North Sea, in 2005#381891DataCite
• Hydrochemistry at time series station Helgoland Roads, North Sea, in 2006#381896DataCite
• Hydrochemistry at time series station Helgoland Roads, North Sea, in 2007#381905DataCite
• Hydrochemistry at time series station Helgoland Roads, North Sea, in 2008#381972DataCite
• Hydrochemistry at time series station Helgoland Roads, North Sea, in 2009#391231DataCite
• Hydrochemistry at time series station Helgoland Roads, North Sea, in 2010#391261DataCite
• Comparing training window selection methods for prediction in non-stationary time series.#1348NCBI PubMed Central
• A Family of Open Time-Series Foundation Models for the Radio Access Network#2513arXiv CS
• CAMELS-DE: hydro-meteorological time series and attributes for 1582 catchments in Germany#20202DOAJ
• Corruption and Foreign Direct Investment in Nigeria (1986-2025)#137317Zenodo (CERN)
• EvoTSC: Evolving Feature Learning Models for Time Series Classification via Genetic Programming#141494arXiv CS
• A Domain Incremental Continual Learning Benchmark for ICU Time Series Model Transportability#155293arXiv CS
• MILM: Large Language Models for Multimodal Irregular Time Series with Informative Sampling#180666arXiv CS
• Zero Touch Predictive Orchestration: Automating Time-Series Models for the Cloud-Edge Continuum#267597arXiv CS
• SCAN: Enhance Time Series Anomaly Detection via Multi-Scale Neighborhood-Centered Clustering#287123arXiv CS
• Beyond Tokenization: Direct Timestep Embedding and Contrastive Alignment for Time-Series Question Answering#287182arXiv CS
• Model selection with proper scoring rules on data sets of time series#303196arXiv CS
• Geophysical time series forecasting at the Piton de la Fournaise volcano by machine learning#322492HAL (France)
• RMISC: A Large-scale Real-world Multivariate Corpus for Time Series Foundation Models#346541arXiv CS
• Transformer-based Diffusion models for Hydrological Time Series Probabilistic Imputation and Forecasting#394423arXiv CS
• Machine learning and time-series approaches for forecasting bacterial blight of pomegranate.#418339NCBI PubMed Central
• Human-inspired time-series health evaluation with an adaptive multimodal electronic skin.#420951NCBI PubMed Central
• Experimental vibration time-series data for rotor crack detection and condition monitoring.#422935NCBI PubMed Central
• Is Self-Pretraining really useful to improve diagnosis in medical Time Series?#432540arXiv CS
• Simulation-Based Comparison of Controlled Interrupted Time Series (CITS) and Multivariable Regression#433228Europe PMC
• When GNNs Fail: Quantifying and Overcoming Temporal Correlation Volatility in Time Series#440368arXiv CS
• MTV: Visual Analytics for Detecting, Investigating, and Annotating Anomalies in Multivariate Time Series#442761MIT Open Scholarship
• Two-stage Odd Residual Flows for Mean-Preserving Probabilistic Time Series Forecasting#444621arXiv CS
• TimeSage-EV: A Live Benchmark for Agentic Time Series Analysis in Evolving Environments#458341arXiv CS
• End-to-end Early Classification of Time Series in Non-Stationary Environments#471245arXiv CS
• Estimating a Matrix Population Growth Operator From Distributional Time Series#491946eScholarship
• AsyTO: Asymmetric Temporal Operator for Parameter-Efficient Multivariate Time Series Forecasting#618834arXiv (OAI Expanded)
• Identifying Time Series Similarity in Large-Scale Earth System Datasets#620021eScholarship
• AsyTO: Asymmetric Temporal Operator for Parameter-Efficient Multivariate Time Series Forecasting#620513arXiv (All)
• A Human-in-the-Loop Autonomous Agent for Industry Time Series Forecasting#622527arXiv CS
• Advanced interpolation techniques for the computer animation of Satellite derived time series data.#642025electronic library