| Deep Bayesian Nonparametric Tracking | Jul 1, 2018 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Interpretable Nonlinear Dynamic Modeling of Neural Trajectories | Oct 27, 2016 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Interpretable Neural Networks for Panel Data Analysis in Economics | Oct 11, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Deep Baseline Network for Time Series Modeling and Anomaly Detection | Sep 10, 2022 | Anomaly DetectionTime Series | —Unverified | 0 | 0 |
| A Unified Approach to Extract Interpretable Rules from Tree Ensembles via Integer Programming | Jun 30, 2024 | regressionTime Series | —Unverified | 0 | 0 |
| Some variation of COBRA in sequential learning setup | Apr 7, 2024 | Bayesian OptimisationLoad Forecasting | —Unverified | 0 | 0 |
| SOMTimeS: Self Organizing Maps for Time Series Clustering and its Application to Serious Illness Conversations | Aug 26, 2021 | ClusteringDynamic Time Warping | —Unverified | 0 | 0 |
| Deep Auto-Set: A Deep Auto-Encoder-Set Network for Activity Recognition Using Wearables | Nov 20, 2018 | Activity RecognitionMulti-class Classification | —Unverified | 0 | 0 |
| Dynamic Predictions of Postoperative Complications from Explainable, Uncertainty-Aware, and Multi-Task Deep Neural Networks | Apr 27, 2020 | Decision MakingDeep Learning | —Unverified | 0 | 0 |
| Interpretable Models for Understanding Immersive Simulations | Sep 24, 2019 | Model SelectionTime Series | —Unverified | 0 | 0 |
| Augmenting transferred representations for stock classification | Oct 28, 2020 | ClassificationData Augmentation | —Unverified | 0 | 0 |
| Analyzing categorical time series with the R package ctsfeatures | Apr 24, 2023 | ClusteringOutlier Detection | —Unverified | 0 | 0 |
| Volume-Centred Range Bars: Novel Interpretable Representation of Financial Markets Designed for Machine Learning Applications | Mar 23, 2021 | BIG-bench Machine LearningGeneral Classification | —Unverified | 0 | 0 |
| Interpretable mixture of experts for time series prediction under recurrent and non-recurrent conditions | Sep 5, 2024 | Mixture-of-ExpertsTime Series | —Unverified | 0 | 0 |
| Interpretable Mixture of Experts | Jun 5, 2022 | Decision MakingMixture-of-Experts | —Unverified | 0 | 0 |
| Interpretable Latent Variables in Deep State Space Models | Mar 3, 2022 | DecoderState Space Models | —Unverified | 0 | 0 |
| Interpretable Feature Engineering for Time Series Predictors using Attention Networks | May 23, 2022 | Feature EngineeringTime Series | —Unverified | 0 | 0 |
| SpaceTime: Causal Discovery from Non-Stationary Time Series | Jan 17, 2025 | Causal DiscoveryTime Series | —Unverified | 0 | 0 |
| Interpretable Feature Construction for Time Series Extrinsic Regression | Mar 15, 2021 | Benchmarkingregression | —Unverified | 0 | 0 |
| Interpretable Deep Learning for Forecasting Online Advertising Costs: Insights from the Competitive Bidding Landscape | Feb 11, 2023 | ClusteringFeature Importance | —Unverified | 0 | 0 |
| Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach | Jul 19, 2020 | Anomaly DetectionFederated Learning | —Unverified | 0 | 0 |
| Augmenting Physiological Time Series Data: A Case Study for Sleep Apnea Detection | May 22, 2019 | Generative Adversarial NetworkSleep apnea detection | —Unverified | 0 | 0 |
| Sparse Bayesian State-Space and Time-Varying Parameter Models | Jul 25, 2022 | regressionTime Series | —Unverified | 0 | 0 |
| Sparse Binary Transformers for Multivariate Time Series Modeling | Aug 9, 2023 | Anomaly DetectionTime Series | —Unverified | 0 | 0 |
| Analyzing and Predicting Low-Listenership Trends in a Large-Scale Mobile Health Program: A Preliminary Investigation | Nov 13, 2023 | Time SeriesTime Series Prediction | —Unverified | 0 | 0 |