| On Bayesian Filtering for Markov Regime Switching Models | Feb 12, 2024 | Time Series | —Unverified | 0 |
| On change point detection using the fused lasso method | Jan 21, 2014 | Change Point DetectionDenoising | —Unverified | 0 |
| On clustering financial time series: a need for distances between dependent random variables | Mar 25, 2016 | ClusteringTime Series | —Unverified | 0 |
| On Clustering Time Series Using Euclidean Distance and Pearson Correlation | Jan 10, 2016 | ClusteringGeneral Classification | —Unverified | 0 |
| AtOMICS: A neural network-based Automated Optomechanical Intelligent Coupling System for testing and characterization of silicon photonics chiplets | Oct 30, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 |
| On Consistency and Asymptotic Normality of Least Absolute Deviation Estimators for 2-dimensional Sinusoidal Model | Jan 9, 2023 | parameter estimationTime Series | —Unverified | 0 |
| Improving MF-DFA model with applications in precious metals market | Jun 26, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Data Curves Clustering Using Common Patterns Detection | Jan 5, 2020 | ClusteringTime Series | —Unverified | 0 |
| On Creating a Causally Grounded Usable Rating Method for Assessing the Robustness of Foundation Models Supporting Time Series | Feb 17, 2025 | Model SelectionStock Price Prediction | —Unverified | 0 |
| On Designing Data Models for Energy Feature Stores | May 9, 2022 | Feature EngineeringManagement | —Unverified | 0 |
| On Designing Features for Condition Monitoring of Rotating Machines | Feb 15, 2024 | Time Series | —Unverified | 0 |
| On-device AI: Quantization-aware Training of Transformers in Time-Series | Aug 29, 2024 | QuantizationTime Series | —Unverified | 0 |
| On-Device Training of Fully Quantized Deep Neural Networks on Cortex-M Microcontrollers | Jul 15, 2024 | Time Series | —Unverified | 0 |
| On Disentanglement in Gaussian Process Variational Autoencoders | Feb 10, 2021 | DisentanglementTime Series | —Unverified | 0 |
| On the Generalization and Approximation Capacities of Neural Controlled Differential Equations | May 26, 2023 | Time Series | —Unverified | 0 |
| One-class Collective Anomaly Detection based on Long Short-Term Memory Recurrent Neural Networks | Jan 31, 2018 | Anomaly DetectionIntrusion Detection | —Unverified | 0 |
| One-dimensional Deep Image Prior for Time Series Inverse Problems | Apr 18, 2019 | compressed sensingDenoising | —Unverified | 0 |
| Improving Irregularly Sampled Time Series Learning with Dense Descriptors of Time | Mar 20, 2020 | BIG-bench Machine LearningTime Series | —Unverified | 0 |
| Improving Hospital Mortality Prediction with Medical Named Entities and Multimodal Learning | Nov 29, 2018 | Entity Extraction using GANMortality Prediction | —Unverified | 0 |
| One model is not enough: heterogeneity in cryptocurrencies' multifractal profiles | Mar 21, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 |
| ATM Cash demand forecasting in an Indian Bank with chaos and deep learning | Aug 24, 2020 | Demand ForecastingTime Series | —Unverified | 0 |
| Data-Centric Machine Learning for Earth Observation: Necessary and Sufficient Features | Aug 21, 2024 | Earth ObservationTime Series | —Unverified | 0 |
| Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition | Dec 30, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 |
| One-shot Learning for iEEG Seizure Detection Using End-to-end Binary Operations: Local Binary Patterns with Hyperdimensional Computing | Sep 6, 2018 | Few-Shot LearningOne-Shot Learning | —Unverified | 0 |
| Time Series Analysis and Modeling to Forecast: a Survey | Mar 31, 2021 | SurveyTime Series | —Unverified | 0 |