| 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 |
| Improving Hospital Mortality Prediction with Medical Named Entities and Multimodal Learning | Nov 29, 2018 | Entity Extraction using GANMortality Prediction | —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 |
| 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 |
| 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 |
| 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 |
| Time Series Analysis and Modeling to Forecast: a Survey | Mar 31, 2021 | SurveyTime Series | —Unverified | 0 |
| One-dimensional Deep Image Prior for Time Series Inverse Problems | Apr 18, 2019 | compressed sensingDenoising | —Unverified | 0 |
| A Bayesian Approach for Predicting Food and Beverage Sales in Staff Canteens and Restaurants | May 26, 2020 | Additive modelsDemand Forecasting | —Unverified | 0 |
| On the use of generative deep neural networks to synthesize artificial multichannel EEG signals | Feb 16, 2021 | EEGElectroencephalogram (EEG) | —Unverified | 0 |
| One model is not enough: heterogeneity in cryptocurrencies' multifractal profiles | Mar 21, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 |
| On the Use of Time Series Kernel and Dimensionality Reduction to Identify the Acquisition of Antimicrobial Multidrug Resistance in the Intensive Care Unit | Jul 7, 2021 | Dimensionality ReductionTime Series | —Unverified | 0 |
| Analysis and Fully Memristor-based Reservoir Computing for Temporal Data Classification | Mar 4, 2024 | Time SeriesTime Series Prediction | —Unverified | 0 |
| Analysis and FPGA based Implementation of Permutation Binary Neural Networks | Jun 2, 2023 | Time Series | —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 |
| Improving Clinical Predictions through Unsupervised Time Series Representation Learning | Dec 2, 2018 | Decision MakingRepresentation Learning | —Unverified | 0 |
| One-Step or Two-Step Optimization and the Overfitting Phenomenon: A Case Study on Time Series Classification | Jul 16, 2014 | General ClassificationTime Series | —Unverified | 0 |
| On Estimation and Inference of Large Approximate Dynamic Factor Models via the Principal Component Analysis | Nov 3, 2022 | regressionTime Series | —Unverified | 0 |
| A Time-Series Scale Mixture Model of EEG with a Hidden Markov Structure for Epileptic Seizure Detection | Nov 12, 2021 | EEGElectroencephalogram (EEG) | —Unverified | 0 |
| On Extreme Value Asymptotics of Projected Sample Covariances in High Dimensions with Applications in Finance and Convolutional Networks | Oct 12, 2023 | Portfolio OptimizationTime Series | —Unverified | 0 |
| Causal-based Time Series Domain Generalization for Vehicle Intention Prediction | Dec 3, 2021 | Autonomous VehiclesDomain Generalization | —Unverified | 0 |
| On Improving Deep Reinforcement Learning for POMDPs | Apr 17, 2018 | Atari GamesDecision Making | —Unverified | 0 |
| On LASSO for High Dimensional Predictive Regression | Dec 14, 2022 | regressionTime Series | —Unverified | 0 |
| Online Advertising Revenue Forecasting: An Interpretable Deep Learning Approach | Nov 16, 2021 | Deep LearningTime Series | —Unverified | 0 |
| Online Anomaly Detection with Sparse Gaussian Processes | May 14, 2019 | Anomaly DetectionGaussian Processes | —Unverified | 0 |
| On the Time Series Length for an Accurate Fractal Analysis in Network Systems | May 6, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Improving Astronomical Time-series Classification via Data Augmentation with Generative Adversarial Networks | May 13, 2022 | Data AugmentationTime Series | —Unverified | 0 |
| Online Change Points Detection for Linear Dynamical Systems with Finite Sample Guarantees | Nov 30, 2023 | Change Point DetectionTime Series | —Unverified | 0 |
| Online Debiasing for Adaptively Collected High-dimensional Data with Applications to Time Series Analysis | Nov 4, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Online Detection of Changes in Moment-Based Projections: When to Retrain Deep Learners or Update Portfolios? | Feb 14, 2023 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Online detection of failures generated by storage simulator | Jan 18, 2021 | Change Point DetectionDensity Ratio Estimation | —Unverified | 0 |
| Online estimation methods for irregular autoregressive models | Jan 31, 2023 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Online Estimation of Multiple Dynamic Graphs in Pattern Sequences | Jan 22, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Online Evolutionary Neural Architecture Search for Multivariate Non-Stationary Time Series Forecasting | Feb 20, 2023 | Neural Architecture SearchTime Series | —Unverified | 0 |
| Online false discovery rate control for anomaly detection in time series | Dec 6, 2021 | Anomaly DetectionTime Series | —Unverified | 0 |
| Online Federation For Mixtures of Proprietary Agents with Black-Box Encoders | Apr 30, 2025 | AI AgentFederated Learning | —Unverified | 0 |
| Online Forecasting Matrix Factorization | Dec 23, 2017 | Missing ValuesTime Series | —Unverified | 0 |
| Online Graph Topology Learning from Matrix-valued Time Series | Jul 16, 2021 | Graph LearningTime Series | —Unverified | 0 |
| Online Hierarchical Forecasting for Power Consumption Data | Mar 1, 2020 | Additive modelsTime Series | —Unverified | 0 |
| Online Joint Topology Identification and Signal Estimation from Streams with Missing Data | Dec 10, 2020 | DenoisingTime Series | —Unverified | 0 |
| Data Augmentation techniques in time series domain: A survey and taxonomy | Jun 25, 2022 | Data AugmentationTime Series | —Unverified | 0 |