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| Bayesian Time Series Forecasting with Change Point and Anomaly Detection | Jan 1, 2018 | Anomaly DetectionChange Point Detection | —Unverified | 0 | 0 |
| Deterioration Prediction using Time-Series of Three Vital Signs and Current Clinical Features Amongst COVID-19 Patients | Oct 12, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Bayesian Time-Series Classifier for Decoding Simple Visual Stimuli from Intracranial Neural Activity | Jul 28, 2023 | ClassificationTime Series | —Unverified | 0 | 0 |
| A new membership inference attack that spots memorization in generative and predictive models: Loss-Based with Reference Model algorithm (LBRM) | May 6, 2025 | ImputationInference Attack | —Unverified | 0 | 0 |
| Detection of Obstructive Sleep Apnoea Using Features Extracted from Segmented Time-Series ECG Signals Using a One Dimensional Convolutional Neural Network | Feb 3, 2020 | SpecificityTime Series | —Unverified | 0 | 0 |
| The amplitude modulation pattern of Gaussian noise is a fingerprint of Gaussianity | Mar 30, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Detection of Anomalies in Multivariate Time Series Using Ensemble Techniques | Aug 6, 2023 | Anomaly DetectionTime Series | —Unverified | 0 | 0 |
| Bayesian Synthesis of Probabilistic Programs for Automatic Data Modeling | Jul 14, 2019 | Bayesian InferenceProbabilistic Programming | —Unverified | 0 | 0 |
| A new measure between sets of probability distributions with applications to erratic financial behavior | Jun 10, 2021 | Change Point DetectionPortfolio Optimization | —Unverified | 0 | 0 |
| Adversarially learned anomaly detection for time series data | Sep 25, 2019 | Anomaly DetectionTime Series | —Unverified | 0 | 0 |
| A conditional likelihood is required to estimate the selection coefficient in ancient DNA | Jul 11, 2016 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| A Benchmark Time Series Dataset for Semiconductor Fabrication Manufacturing Constructed using Component-based Discrete-Event Simulation Models | Aug 17, 2024 | Time Series | —Unverified | 0 | 0 |
| Context-Aware Probabilistic Modeling with LLM for Multimodal Time Series Forecasting | May 16, 2025 | Time SeriesTime Series Forecasting | —Unverified | 0 | 0 |
| Learning low-dimensional state embeddings and metastable clusters from time series data | Jun 1, 2019 | ClusteringTime Series | —Unverified | 0 | 0 |
| Differential Recurrent Neural Network and its Application for Human Activity Recognition | May 9, 2019 | Activity RecognitionHuman Activity Recognition | —Unverified | 0 | 0 |
| Detection of anomalies in cow activity using wavelet transform based features | Feb 28, 2025 | Anomaly DetectionTime Series | —Unverified | 0 | 0 |
| Detection of Anomalies in a Time Series Data using InfluxDB and Python | Dec 15, 2020 | Decision MakingTime Series | —Unverified | 0 | 0 |
| Detection of Adversarial Physical Attacks in Time-Series Image Data | Apr 27, 2023 | Autonomous DrivingDecision Making | —Unverified | 0 | 0 |
| Detection and prediction of clopidogrel treatment failures using longitudinal structured electronic health records | Oct 12, 2023 | Time Series | —Unverified | 0 | 0 |
| Bayesian Regression Approach for Building and Stacking Predictive Models in Time Series Analytics | Jan 6, 2022 | Decision Makingregression | —Unverified | 0 | 0 |
| A New Look to Three-Factor Fama-French Regression Model using Sample Innovations | Jun 3, 2020 | Econometricsregression | —Unverified | 0 | 0 |
| Detection and Estimation of Structural Breaks in High-Dimensional Functional Time Series | Apr 14, 2023 | ClusteringTime Series | —Unverified | 0 | 0 |
| Bayesian Recurrent Framework for Missing Data Imputation and Prediction with Clinical Time Series | Nov 18, 2019 | ImputationMissing Values | —Unverified | 0 | 0 |
| Detecting Structural Breaks in Foreign Exchange Markets by using the group LASSO technique | Feb 7, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |