| Combining observational and experimental data to find heterogeneous treatment effects | Nov 8, 2016 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Are Synthetic Time-series Data Really not as Good as Real Data? | Feb 1, 2024 | Representation LearningTime Series | —Unverified | 0 | 0 |
| Combining multitemporal optical and SAR data for LAI imputation with BiLSTM network | Jul 14, 2023 | ImputationTime Series | —Unverified | 0 | 0 |
| Combining Machine Learning with Knowledge-Based Modeling for Scalable Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal Systems | Feb 10, 2020 | BIG-bench Machine LearningTime Series | —Unverified | 0 | 0 |
| A restricted eigenvalue condition for unit-root non-stationary data | Aug 27, 2022 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| A Light-weight CNN Model for Efficient Parkinson's Disease Diagnostics | Feb 2, 2023 | DiagnosticTime Series | —Unverified | 0 | 0 |
| Combining Forecasts using Meta-Learning: A Comparative Study for Complex Seasonality | Apr 11, 2025 | Meta-LearningTime Series | —Unverified | 0 | 0 |
| Combining Ensemble Kalman Filter and Reservoir Computing to predict spatio-temporal chaotic systems from imperfect observations and models | Jun 25, 2020 | BIG-bench Machine LearningPrediction | —Unverified | 0 | 0 |
| Combining Embeddings and Fuzzy Time Series for High-Dimensional Time Series Forecasting in Internet of Energy Applications | Dec 3, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Combining Deep Transfer Learning with Signal-image Encoding for Multi-Modal Mental Wellbeing Classification | Nov 20, 2020 | Emotion ClassificationGeneral Classification | —Unverified | 0 | 0 |
| A reproduction rate which perfectly fits Covid-19 | May 27, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| A Library of Mirrors: Deep Neural Nets in Low Dimensions are Convex Lasso Models with Reflection Features | Mar 2, 2024 | Time Series | —Unverified | 0 | 0 |
| Adaptive Modeling of Satellite-Derived Nighttime Lights Time-Series for Tracking Urban Change Processes Using Machine Learning | Jun 14, 2023 | Anomaly DetectionDecision Making | —Unverified | 0 | 0 |
| Combining Deep Learning and GARCH Models for Financial Volatility and Risk Forecasting | Oct 2, 2023 | Time Series | —Unverified | 0 | 0 |
| Combined Unbalanced Distribution System State and Line Impedance Matrix Estimation | Sep 22, 2022 | ManagementState Estimation | —Unverified | 0 | 0 |
| COMBINED FLEXIBLE ACTIVATION FUNCTIONS FOR DEEP NEURAL NETWORKS | Sep 25, 2019 | image-classificationImage Classification | —Unverified | 0 | 0 |
| Algorithmic Recourse for Anomaly Detection in Multivariate Time Series | Sep 28, 2023 | Anomaly DetectionTime Series | —Unverified | 0 | 0 |
| Combating Uncertainties in Wind and Distributed PV Energy Sources Using Integrated Reinforcement Learning and Time-Series Forecasting | Feb 27, 2023 | Decision Makingenergy management | —Unverified | 0 | 0 |
| Coloured noise time series as appropriate models for environmental variation in artificial evolutionary systems | Jun 29, 2020 | Artificial LifeTime Series | —Unverified | 0 | 0 |
| A Reliable Framework for Human-in-the-Loop Anomaly Detection in Time Series | May 6, 2024 | Anomaly DetectionTime Series | —Unverified | 0 | 0 |
| Collective Anomaly Detection based on Long Short Term Memory Recurrent Neural Network | Mar 28, 2017 | Anomaly DetectionIntrusion Detection | —Unverified | 0 | 0 |
| Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems | Oct 21, 2019 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Are Large Language Models Useful for Time Series Data Analysis? | Dec 16, 2024 | Anomaly DetectionDecision Making | —Unverified | 0 | 0 |
| ALGAN: Time Series Anomaly Detection with Adjusted-LSTM GAN | Aug 13, 2023 | Anomaly DetectionTime Series | —Unverified | 0 | 0 |
| Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection | Jan 3, 2022 | Anomaly DetectionDiversity | —Unverified | 0 | 0 |