| 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 |
