| Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time Series | Mar 14, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Black box variational inference for state space models | Nov 23, 2015 | State Space ModelsTime Series | CodeCode Available | 0 |
| Acquiring Better Load Estimates by Combining Anomaly and Change Point Detection in Power Grid Time-series Measurements | May 25, 2024 | Anomaly DetectionChange Point Detection | CodeCode Available | 0 |
| Modeling Latent Non-Linear Dynamical System over Time Series | Dec 11, 2024 | Time Series | CodeCode Available | 0 |
| Modeling Irregularly Sampled Clinical Time Series | Dec 3, 2018 | Deep LearningLength-of-Stay prediction | CodeCode Available | 0 |
| Domain Adaptation with Representation Learning and Nonlinear Relation for Time Series | Feb 15, 2022 | Activity RecognitionDomain Adaptation | CodeCode Available | 0 |
| Modeling emotion in complex stories: the Stanford Emotional Narratives Dataset | Nov 22, 2019 | Emotion RecognitionTime Series | CodeCode Available | 0 |
| Modeling EEG data distribution with a Wasserstein Generative Adversarial Network to predict RSVP Events | Nov 11, 2019 | ClassificationEEG | CodeCode Available | 0 |
| Domain Adaptation Under Behavioral and Temporal Shifts for Natural Time Series Mobile Activity Recognition | Jul 10, 2022 | Activity RecognitionContrastive Learning | CodeCode Available | 0 |
| Modeling Complex Disease Trajectories using Deep Generative Models with Semi-Supervised Latent Processes | Nov 14, 2023 | Time SeriesUncertainty Quantification | CodeCode Available | 0 |
| Modeling Activity-Driven Music Listening with PACE | May 2, 2024 | Recommendation SystemsTime Series | CodeCode Available | 0 |
| Model Compression for Dynamic Forecast Combination | Apr 5, 2021 | modelModel Compression | CodeCode Available | 0 |
| Does Terrorism Trigger Online Hate Speech? On the Association of Events and Time Series | Apr 30, 2020 | Causal InferencePoint Processes | CodeCode Available | 0 |
| Bioluminescence modeling for deep sea experiments | Feb 9, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| DLBI: Deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopy | May 20, 2018 | Bayesian InferenceDeep Learning | CodeCode Available | 0 |
| Model Agnostic Time Series Analysis via Matrix Estimation | Feb 25, 2018 | ImputationMissing Values | CodeCode Available | 0 |
| Machine learning of network inference enhancement from noisy measurements | Sep 5, 2023 | Time Series | CodeCode Available | 0 |
| Biologically-Motivated Deep Learning Method using Hierarchical Competitive Learning | Jan 4, 2020 | Deep LearningTime Series | CodeCode Available | 0 |
| MobiVital: Self-supervised Time-series Quality Estimation for Contactless Respiration Monitoring Using UWB Radar | Mar 14, 2025 | Time Series | CodeCode Available | 0 |
| Dive into Time-Series Anomaly Detection: A Decade Review | Dec 29, 2024 | Anomaly DetectionTime Series | CodeCode Available | 0 |
| Binary Spatial Random Field Reconstruction from Non-Gaussian Inhomogeneous Time-series Observations | Apr 7, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| ML-Based Approach for NFL Defensive Pass Interference Prediction Using GPS Tracking Data | Jun 24, 2022 | Binary ClassificationTime Series | CodeCode Available | 0 |
| ML Algorithm Synthesizing Domain Knowledge for Fungal Spores Concentration Prediction | Sep 23, 2023 | Time Series | CodeCode Available | 0 |
| Distributional conformal prediction | Sep 17, 2019 | Conformal Predictioncounterfactual | CodeCode Available | 0 |
| Distribution Agnostic Symbolic Representations for Time Series Dimensionality Reduction and Online Anomaly Detection | May 20, 2021 | Anomaly DetectionClustering | CodeCode Available | 0 |
| Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling | Jul 24, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Mixture of Coupled HMMs for Robust Modeling of Multivariate Healthcare Time Series | Nov 14, 2023 | Missing ValuesTime Series | CodeCode Available | 0 |
| Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension | Aug 12, 2019 | Gaussian ProcessesImputation | CodeCode Available | 0 |
| Bilinear Spatiotemporal Fusion Network: An efficient approach for traffic flow prediction | Apr 1, 2025 | Spatio-Temporal ForecastingTime Series | CodeCode Available | 0 |
| Probabilistic AutoRegressive Neural Networks for Accurate Long-range Forecasting | Apr 1, 2022 | Decision MakingEpidemiology | CodeCode Available | 0 |
| A Fast Multitaper Power Spectrum Estimation in Nonuniformly Sampled Time Series | Jul 2, 2024 | Time Series | CodeCode Available | 0 |
| Acoustic absement in detail: Quantifying acoustic differences across time-series representations of speech data | Apr 12, 2023 | Dynamic Time Warpingspeech-recognition | CodeCode Available | 0 |
| Abnormality Forecasting: Time Series Anomaly Prediction via Future Context Modeling | Oct 16, 2024 | Time Series | CodeCode Available | 0 |
| Distributed and parallel time series feature extraction for industrial big data applications | Oct 25, 2016 | Binary ClassificationClassification | CodeCode Available | 0 |
| MIXAD: Memory-Induced Explainable Time Series Anomaly Detection | Oct 30, 2024 | Anomaly DetectionTime Series | CodeCode Available | 0 |
| Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data | Jul 7, 2023 | Knowledge DistillationModel Compression | CodeCode Available | 0 |
| Distillation Enhanced Time Series Forecasting Network with Momentum Contrastive Learning | Jan 31, 2024 | Contrastive LearningData Augmentation | CodeCode Available | 0 |
| Missingness as Stability: Understanding the Structure of Missingness in Longitudinal EHR data and its Impact on Reinforcement Learning in Healthcare | Nov 16, 2019 | Imputationreinforcement-learning | CodeCode Available | 0 |
| Dissecting Multifractal detrended cross-correlation analysis | Jun 9, 2024 | Time Series | CodeCode Available | 0 |
| An Interpretable and Sparse Neural Network Model for Nonlinear Granger Causality Discovery | Nov 22, 2017 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Mining of Switching Sparse Networks for Missing Value Imputation in Multivariate Time Series | Sep 16, 2024 | ImputationMissing Values | CodeCode Available | 0 |
| Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks | Oct 6, 2018 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Minimax Estimation of Partially-Observed Vector AutoRegressions | Jun 17, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Minimal Time Series Transformer | Mar 12, 2025 | Time SeriesTime Series Forecasting | CodeCode Available | 0 |
| Bidirectional Generative Pre-training for Improving Healthcare Time-series Representation Learning | Feb 14, 2024 | PredictionRepresentation Learning | CodeCode Available | 0 |
| Bidirectional deep-readout echo state networks | Nov 17, 2017 | ClassificationDimensionality Reduction | CodeCode Available | 0 |
| An Infra-Structure for Performance Estimation and Experimental Comparison of Predictive Models in R | Dec 1, 2014 | General Classificationregression | CodeCode Available | 0 |
| MINIMALIST: Mutual INformatIon Maximization for Amortized Likelihood Inference from Sampled Trajectories | Jun 3, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III | Jul 19, 2019 | BIG-bench Machine LearningLength-of-Stay prediction | CodeCode Available | 0 |
| MIM-GAN-based Anomaly Detection for Multivariate Time Series Data | Oct 26, 2023 | Anomaly DetectionDiversity | CodeCode Available | 0 |