| Mind's Eye: Image Recognition by EEG via Multimodal Similarity-Keeping Contrastive Learning | Jun 5, 2024 | Contrastive LearningEEG | CodeCode Available | 1 |
| Mind the gap: an experimental evaluation of imputation of missing values techniques in time series | Jan 15, 2020 | ImputationMissing Values | CodeCode Available | 1 |
| Conditional GAN for timeseries generation | Jun 30, 2020 | Generative Adversarial NetworkTime Series | CodeCode Available | 1 |
| Missing Value Imputation on Multidimensional Time Series | Mar 2, 2021 | ImputationMissing Values | CodeCode Available | 1 |
| CODiT: Conformal Out-of-Distribution Detection in Time-Series Data | Jul 24, 2022 | Anomaly DetectionAutonomous Driving | CodeCode Available | 1 |
| Mixture-of-Linear-Experts for Long-term Time Series Forecasting | Dec 11, 2023 | Mixture-of-ExpertsTime Series | CodeCode Available | 1 |
| ml_edm package: a Python toolkit for Machine Learning based Early Decision Making | Aug 23, 2024 | Decision MakingEarly Classification | CodeCode Available | 1 |
| A Multi-view Multi-task Learning Framework for Multi-variate Time Series Forecasting | Sep 2, 2021 | AttributeMulti-Task Learning | CodeCode Available | 1 |
| Compatible deep neural network framework with financial time series data, including data preprocessor, neural network model and trading strategy | May 11, 2022 | Binary ClassificationFeature Engineering | CodeCode Available | 1 |
| 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 |
| Conditional Sig-Wasserstein GANs for Time Series Generation | Jun 9, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Conformal Time-series Forecasting | Dec 1, 2021 | Conformal PredictionDecision Making | CodeCode Available | 1 |
| Closed-Form Diffeomorphic Transformations for Time Series Alignment | Jun 16, 2022 | CPUForm | CodeCode Available | 1 |
| Cloud gap-filling with deep learning for improved grassland monitoring | Mar 14, 2024 | Deep LearningEvent Detection | CodeCode Available | 1 |
| ClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method | Apr 10, 2025 | Time SeriesWeather Forecasting | CodeCode Available | 1 |
| Monte Carlo Simulation of SDEs using GANs | Apr 3, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| DeepMoD: Deep learning for Model Discovery in noisy data | Apr 20, 2019 | Deep LearningModel Discovery | CodeCode Available | 1 |
| MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classification | Mar 7, 2025 | Action RecognitionEEG | CodeCode Available | 1 |
| MrSQM: Fast Time Series Classification with Symbolic Representations | Sep 2, 2021 | Classificationfeature selection | CodeCode Available | 1 |
| Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning | Jun 23, 2020 | Knowledge GraphsMulti-Task Learning | CodeCode Available | 1 |
| A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction | Jan 31, 2024 | DecoderGraph Learning | CodeCode Available | 1 |
| CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting | Jun 8, 2024 | AttributeMamba | CodeCode Available | 1 |
| Detecting Multivariate Time Series Anomalies with Zero Known Label | Aug 3, 2022 | Anomaly DetectionDensity Estimation | CodeCode Available | 1 |
| BolT: Fused Window Transformers for fMRI Time Series Analysis | May 23, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection | Dec 17, 2020 | Malware DetectionTime Series | CodeCode Available | 1 |
| Multi-Label Clinical Time-Series Generation via Conditional GAN | Apr 10, 2022 | Representation LearningTime Series | CodeCode Available | 1 |
| AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation Scheme | May 8, 2023 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| Multimodality Multi-Lead ECG Arrhythmia Classification using Self-Supervised Learning | Sep 30, 2022 | ECG ClassificationKnowledge Distillation | CodeCode Available | 1 |
| Multi-Modal Temporal Attention Models for Crop Mapping from Satellite Time Series | Dec 14, 2021 | Panoptic SegmentationSemantic Segmentation | CodeCode Available | 1 |
| Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation | May 14, 2020 | General ClassificationSpecificity | CodeCode Available | 1 |
| Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks | Jan 6, 2022 | Audio ClassificationClassification | CodeCode Available | 1 |
| Multi-resolution Time-Series Transformer for Long-term Forecasting | Nov 7, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 1 |
| Multi-scale Transformer Pyramid Networks for Multivariate Time Series Forecasting | Aug 23, 2023 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 |
| Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data | May 22, 2020 | Domain AdaptationTime Series | CodeCode Available | 1 |
| DEFM: Delay E mbedding based Forecast Machine for Time Series Forecasting by Spatiotemporal Information Transformation | May 16, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Multi-step-ahead Stock Price Prediction Using Recurrent Fuzzy Neural Network and Variational Mode Decomposition | Dec 24, 2022 | PredictionStock Price Prediction | CodeCode Available | 1 |
| Multivariate LSTM-FCNs for Time Series Classification | Jan 14, 2018 | Action RecognitionActivity Recognition | CodeCode Available | 1 |
| Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting | May 30, 2023 | DecoderTime Series | CodeCode Available | 1 |
| Multivariate Time-series Anomaly Detection via Graph Attention Network | Sep 4, 2020 | Anomaly DetectionGraph Attention | CodeCode Available | 1 |
| Multivariate Time Series Anomaly Detection with Few Positive Samples | Jul 2, 2022 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| Abstracted Shapes as Tokens -- A Generalizable and Interpretable Model for Time-series Classification | Nov 1, 2024 | QuantizationRepresentation Learning | CodeCode Available | 1 |
| Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks | Jul 31, 2021 | Graph Neural NetworkImputation | CodeCode Available | 1 |
| CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations | May 25, 2025 | Time SeriesTime Series Forecasting | CodeCode Available | 1 |
| NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting | Feb 10, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| A foundation model with multi-variate parallel attention to generate neuronal activity | Jun 25, 2025 | Seizure DetectionTime Series | CodeCode Available | 1 |
| Neglected Free Lunch -- Learning Image Classifiers Using Annotation Byproducts | Mar 30, 2023 | Time Series | CodeCode Available | 1 |
| Neighborhood Contrastive Learning Applied to Online Patient Monitoring | Jun 9, 2021 | BIG-bench Machine LearningContrastive Learning | CodeCode Available | 1 |
| NetDiffus: Network Traffic Generation by Diffusion Models through Time-Series Imaging | Sep 23, 2023 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx | Apr 12, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks | May 24, 2020 | Graph LearningGraph Neural Network | CodeCode Available | 1 |
