| CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting | Sep 15, 2021 | Decision MakingProbabilistic Time Series Forecasting | CodeCode Available | 1 | 5 |
| Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift | Oct 23, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
| Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection | Jul 25, 2022 | Anomaly DetectionOne-Class Classification | CodeCode Available | 1 | 5 |
| Calibration of Google Trends Time Series | Jul 27, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Can LLMs Understand Time Series Anomalies? | Oct 7, 2024 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| Human Activity Segmentation Challenge @ ECML/PKDD’23 | Sep 18, 2023 | Activity RecognitionChange Point Detection | CodeCode Available | 1 | 5 |
| ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection | Jul 3, 2023 | Anomaly DetectionImputation | CodeCode Available | 1 | 5 |
| C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting | Dec 22, 2023 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| How Much Can Time-related Features Enhance Time Series Forecasting? | Dec 2, 2024 | Computational EfficiencyTime Series | CodeCode Available | 1 | 5 |
| How to find a unicorn: a novel model-free, unsupervised anomaly detection method for time series | Apr 23, 2020 | Anomaly DetectionRespiratory Failure | CodeCode Available | 1 | 5 |
| Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors | Sep 9, 2019 | Object LocalizationPrediction | CodeCode Available | 1 | 5 |
| HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data | Nov 16, 2021 | BIG-bench Machine LearningCirculatory Failure | CodeCode Available | 1 | 5 |
| HIVE-COTE 2.0: a new meta ensemble for time series classification | Apr 15, 2021 | General ClassificationTime Series | CodeCode Available | 1 | 5 |
| On the difficulty of learning chaotic dynamics with RNNs | Oct 14, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Highly comparative time-series analysis: The empirical structure of time series and their methods | Apr 3, 2013 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Hierarchical Classification Auxiliary Network for Time Series Forecasting | May 29, 2024 | ClassificationTime Series | CodeCode Available | 1 | 5 |
| Hidden Markov Nonlinear ICA: Unsupervised Learning from Nonstationary Time Series | Jun 22, 2020 | DisentanglementTime Series | CodeCode Available | 1 | 5 |
| Heteroscedastic Temporal Variational Autoencoder For Irregular Time Series | Jul 23, 2021 | Deep LearningIrregular Time Series | CodeCode Available | 1 | 5 |
| CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial Learning | Sep 30, 2021 | Activity RecognitionContrastive Learning | CodeCode Available | 1 | 5 |
| Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting | Jul 4, 2023 | DecoderTime Series | CodeCode Available | 1 | 5 |
| HiPPO: Recurrent Memory with Optimal Polynomial Projections | Aug 17, 2020 | Permuted-MNISTSequential Image Classification | CodeCode Available | 1 | 5 |
| Human Activity Recognition from Wearable Sensor Data Using Self-Attention | Mar 17, 2020 | Activity RecognitionHuman Activity Recognition | CodeCode Available | 1 | 5 |
| Improved Online Conformal Prediction via Strongly Adaptive Online Learning | Feb 15, 2023 | Conformal Predictionimage-classification | CodeCode Available | 1 | 5 |
| Integrating LSTMs and GNNs for COVID-19 Forecasting | Jul 14, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN) | May 27, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Graph Neural Network-Based Anomaly Detection in Multivariate Time Series | Jun 13, 2021 | Anomaly DetectionGraph Neural Network | CodeCode Available | 1 | 5 |
| BioDiffusion: A Versatile Diffusion Model for Biomedical Signal Synthesis | Jan 12, 2024 | Time Series | CodeCode Available | 1 | 5 |
| Graph Neural Rough Differential Equations for Traffic Forecasting | Mar 20, 2023 | Time SeriesTraffic Prediction | CodeCode Available | 1 | 5 |
| GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series | May 29, 2019 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 | 5 |
| Graph-Aware Contrasting for Multivariate Time-Series Classification | Sep 11, 2023 | ClassificationContrastive Learning | CodeCode Available | 1 | 5 |
| Bilinear Input Normalization for Neural Networks in Financial Forecasting | Sep 1, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Graph Convolutions Enrich the Self-Attention in Transformers! | Dec 7, 2023 | Clone Detection | CodeCode Available | 1 | 5 |
| A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series | Jul 5, 2017 | ClassificationEEG | CodeCode Available | 1 | 5 |
| BlackGoose Rimer: Harnessing RWKV-7 as a Simple yet Superior Replacement for Transformers in Large-Scale Time Series Modeling | Mar 8, 2025 | Meta-LearningTime Series | CodeCode Available | 1 | 5 |
| A Transformer-based Framework for Multivariate Time Series Representation Learning | Oct 6, 2020 | Computational EfficiencyGeneral Classification | CodeCode Available | 1 | 5 |
| Graph-Guided Network for Irregularly Sampled Multivariate Time Series | Oct 11, 2021 | Graph Neural NetworkTime Series | CodeCode Available | 1 | 5 |
| Handling Concept Drift in Global Time Series Forecasting | Apr 4, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
| GPLA-12: An Acoustic Signal Dataset of Gas Pipeline Leakage | Jun 19, 2021 | Fault DetectionFault Diagnosis | CodeCode Available | 1 | 5 |
| BolT: Fused Window Transformers for fMRI Time Series Analysis | May 23, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| AtsPy: Automated Time Series Forecasting in Python | May 14, 2020 | SurveyTime Series | CodeCode Available | 1 | 5 |
| Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting | Feb 11, 2025 | Time Series | CodeCode Available | 1 | 5 |
| Benchmarks and Custom Package for Energy Forecasting | Jul 14, 2023 | Feature EngineeringLoad Forecasting | CodeCode Available | 1 | 5 |
| Hierarchical Forecasting at Scale | Oct 19, 2023 | Production ForecastingTime Series | CodeCode Available | 1 | 5 |
| Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting | May 24, 2025 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
| Attention as an RNN | May 22, 2024 | GPUTime Series | CodeCode Available | 1 | 5 |
| CAFO: Feature-Centric Explanation on Time Series Classification | Jun 3, 2024 | ClassificationFeature Importance | CodeCode Available | 1 | 5 |
| Building an Automated and Self-Aware Anomaly Detection System | Nov 10, 2020 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| Benchmark time series data sets for PyTorch -- the torchtime package | Jul 25, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling | Feb 16, 2024 | Missing ValuesTime Series | CodeCode Available | 1 | 5 |
| A Time Series is Worth Five Experts: Heterogeneous Mixture of Experts for Traffic Flow Prediction | Sep 26, 2024 | Mixture-of-ExpertsPrediction | CodeCode Available | 1 | 5 |
