| LiMTR: Time Series Motion Prediction for Diverse Road Users through Multimodal Feature Integration | Oct 21, 2024 | Autonomous Vehiclesmotion prediction | CodeCode Available | 0 |
| Lightweight Defense Against Adversarial Attacks in Time Series Classification | May 4, 2025 | Adversarial DefenseData Augmentation | CodeCode Available | 0 |
| Denoising Architecture for Unsupervised Anomaly Detection in Time-Series | Aug 30, 2022 | Anomaly DetectionDecoder | CodeCode Available | 0 |
| Bayesian Autoregressive Online Change-Point Detection with Time-Varying Parameters | Jul 23, 2024 | Change Point Detectionscoring rule | CodeCode Available | 0 |
| A Neuro-Symbolic Approach for Enhanced Human Motion Prediction | Apr 23, 2023 | Human motion predictionmotion prediction | CodeCode Available | 0 |
| Adversarial Constraint Learning for Structured Prediction | May 27, 2018 | Pose EstimationPrediction | CodeCode Available | 0 |
| LibIQ: Toward Real-Time Spectrum Classification in O-RAN dApps | May 15, 2025 | Time Series | CodeCode Available | 0 |
| LFZip: Lossy compression of multivariate floating-point time series data via improved prediction | Nov 1, 2019 | Data CompressionQuantization | CodeCode Available | 0 |
| Leveraging World Events to Predict E-Commerce Consumer Demand under Anomaly | May 22, 2024 | Demand ForecastingTime Series | CodeCode Available | 0 |
| Leveraging the Self-Transition Probability of Ordinal Pattern Transition Graph for Transportation Mode Classification | Jul 16, 2020 | General ClassificationTime Series | CodeCode Available | 0 |
| Leveraging RNNs and LSTMs for Synchronization Analysis in the Indian Stock Market: A Threshold-Based Classification Approach | Aug 27, 2024 | ManagementTime Series | CodeCode Available | 0 |
| Bayesian and Neural Inference on LSTM-based Object Recognition from Tactile and Kinesthetic Information | Jun 10, 2023 | ObjectObject Recognition | CodeCode Available | 0 |
| Leveraging Persistent Homology for Differential Diagnosis of Mild Cognitive Impairment | Aug 28, 2024 | Time Series | CodeCode Available | 0 |
| Leveraging Deep Learning for Time Series Extrinsic Regression in predicting photometric metallicity of Fundamental-mode RR Lyrae Stars | Oct 23, 2024 | AstronomyDeep Learning | CodeCode Available | 0 |
| Delay-SDE-net: A deep learning approach for time series modelling with memory and uncertainty estimates | Mar 14, 2023 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputation | Oct 1, 2024 | EEGElectromyography (EMG) | CodeCode Available | 0 |
| Less is more: Embracing sparsity and interpolation with Esiformer for time series forecasting | Oct 8, 2024 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 0 |
| Global Neural Networks and The Data Scaling Effect in Financial Time Series Forecasting | Sep 5, 2023 | Deep LearningEconometrics | CodeCode Available | 0 |
| Learning Video-independent Eye Contact Segmentation from In-the-Wild Videos | Oct 5, 2022 | Contact DetectionSegmentation | CodeCode Available | 0 |
| Learning towards Abstractive Timeline Summarization | Aug 11, 2019 | Abstractive Text SummarizationDocument Summarization | CodeCode Available | 0 |
| Learning Generative Models for Lumped Rainfall-Runoff Modeling | Sep 18, 2023 | parameter estimationTime Series | CodeCode Available | 0 |
| DeepTSF: Codeless machine learning operations for time series forecasting | Jul 28, 2023 | Load ForecastingManagement | CodeCode Available | 0 |
| "Back to the future" projections for COVID-19 surges | Feb 17, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Back to Basics: A Sanity Check on Modern Time Series Classification Algorithms | Aug 15, 2023 | Time SeriesTime Series Classification | CodeCode Available | 0 |
| Learning to Forecast Dynamical Systems from Streaming Data | Sep 20, 2021 | regressionTime Series | CodeCode Available | 0 |
| Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier | Jun 13, 2017 | Gaussian ProcessesTime Series | CodeCode Available | 0 |
| backShift: Learning causal cyclic graphs from unknown shift interventions | Jun 8, 2015 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| DeepTFP: Mobile Time Series Data Analytics based Traffic Flow Prediction | Oct 1, 2017 | PredictionTime Series | CodeCode Available | 0 |
| Deep Temporal Sigmoid Belief Networks for Sequence Modeling | Sep 23, 2015 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Learning the Dynamics of Sparsely Observed Interacting Systems | Jan 27, 2023 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Learning the Causal Structure of Networked Dynamical Systems under Latent Nodes and Structured Noise | Dec 10, 2023 | Causal InferenceTime Series | CodeCode Available | 0 |
| Deep Temporal Clustering : Fully Unsupervised Learning of Time-Domain Features | Feb 4, 2018 | ClusteringDimensionality Reduction | CodeCode Available | 0 |
| AZ-whiteness test: a test for uncorrelated noise on spatio-temporal graphs | Apr 23, 2022 | Spatio-Temporal ForecastingTime Series | CodeCode Available | 0 |
| Balanced Graph Structure Learning for Multivariate Time Series Forecasting | Jan 24, 2022 | Graph GenerationGraph Learning | CodeCode Available | 0 |
| Learning Sequential Latent Variable Models from Multimodal Time Series Data | Apr 21, 2022 | Model-based Reinforcement LearningTime Series | CodeCode Available | 0 |
| Learning Sentinel-2 reflectance dynamics for data-driven assimilation and forecasting | May 5, 2023 | Self-Supervised LearningTime Series | CodeCode Available | 0 |
| Improving Time Series Encoding with Noise-Aware Self-Supervised Learning and an Efficient Encoder | Jun 11, 2023 | Anomaly DetectionContrastive Learning | CodeCode Available | 0 |
| Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks | Nov 19, 2015 | EEGElectroencephalogram (EEG) | CodeCode Available | 0 |
| Learning Representations for Time Series Clustering | Dec 1, 2019 | Anomaly DetectionClustering | CodeCode Available | 0 |
| Learning Procedural Abstractions and Evaluating Discrete Latent Temporal Structure | May 1, 2019 | ClusteringTime Series | CodeCode Available | 0 |
| Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks | Oct 2, 2017 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Deep Sequence Modeling for Pressure Controlled Mechanical Ventilation | Mar 4, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Deep reinforcement learning for time series: playing idealized trading games | Mar 11, 2018 | Deep Reinforcement LearningQ-Learning | CodeCode Available | 0 |
| A Wild Bootstrap for Degenerate Kernel Tests | Aug 23, 2014 | BenchmarkingTime Series | CodeCode Available | 0 |
| A Wavelet Method for Panel Models with Jump Discontinuities in the Parameters | Sep 22, 2021 | Algorithmic TradingTime Series | CodeCode Available | 0 |
| Adversarial Attacks on Deep Neural Networks for Time Series Classification | Mar 17, 2019 | Activity RecognitionAdversarial Attack | CodeCode Available | 0 |
| Data-Driven Modeling of Noise Time Series with Convolutional Generative Adversarial Networks | Jul 3, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Learning Multi-Frequency Partial Correlation Graphs | Nov 27, 2023 | Time Series | CodeCode Available | 0 |
| Learning low-frequency temporal patterns for quantitative trading | Aug 12, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie Stimuli | Jun 2, 2023 | Action RecognitionImage Classification | CodeCode Available | 0 |