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| EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data | Jul 6, 2021 | Change Point DetectionData Augmentation | CodeCode Available | 0 | 5 |
| Enhancing Kernel Flexibility via Learning Asymmetric Locally-Adaptive Kernels | Oct 8, 2023 | regression | CodeCode Available | 0 | 5 |
| Applying a Pre-trained Language Model to Spanish Twitter Humor Prediction | Jul 6, 2019 | Language ModelingLanguage Modelling | CodeCode Available | 0 | 5 |
| Evolving-Graph Gaussian Processes | Jun 29, 2021 | Gaussian Processesregression | CodeCode Available | 0 | 5 |
| A probabilistic and multi-objective analysis of lexicase selection and epsilon-lexicase selection | Sep 15, 2017 | Program Synthesisregression | CodeCode Available | 0 | 5 |
| Accelerating Genetic Programming using GPUs | Oct 15, 2021 | Binary Classificationfeature selection | CodeCode Available | 0 | 5 |
| End-to-End Learning of Geometry and Context for Deep Stereo Regression | Mar 13, 2017 | regressionStereo-LiDAR Fusion | CodeCode Available | 0 | 5 |
| A Framework for Sample Efficient Interval Estimation with Control Variates | Jun 18, 2020 | regression | CodeCode Available | 0 | 5 |
| Experimental Comparison of Semi-parametric, Parametric, and Machine Learning Models for Time-to-Event Analysis Through the Concordance Index | Mar 13, 2020 | BIG-bench Machine Learningregression | CodeCode Available | 0 | 5 |
| Active Learning for Manifold Gaussian Process Regression | Jun 26, 2025 | Active LearningDimensionality Reduction | CodeCode Available | 0 | 5 |
| A Provably Accurate Randomized Sampling Algorithm for Logistic Regression | Feb 26, 2024 | Binary Classificationregression | CodeCode Available | 0 | 5 |
| End-to-End Probabilistic Inference for Nonstationary Audio Analysis | Jan 31, 2019 | Audio Signal Processingregression | CodeCode Available | 0 | 5 |
| Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank | Feb 17, 2019 | Active LearningCrowd Counting | CodeCode Available | 0 | 5 |
| Enhancing naive classifier for positive unlabeled data based on logistic regression approach | Jun 5, 2023 | regression | CodeCode Available | 0 | 5 |
| Active Learning for Non-Parametric Regression Using Purely Random Trees | Dec 1, 2018 | Active LearningBinary Classification | CodeCode Available | 0 | 5 |
| A Generalization of Convolutional Neural Networks to Graph-Structured Data | Apr 26, 2017 | General Classificationregression | CodeCode Available | 0 | 5 |
| A Quantum Neural Network Regression for Modeling Lithium-ion Battery Capacity Degradation | Feb 6, 2023 | Hybrid Machine Learningregression | CodeCode Available | 0 | 5 |
| Application of machine learning regression models to inverse eigenvalue problems | Dec 8, 2022 | Neural Network simulationregression | CodeCode Available | 0 | 5 |
| Emotion Intensities in Tweets | Aug 11, 2017 | regression | CodeCode Available | 0 | 5 |
| Extrapolating Treatment Effects in Multi-Cutoff Regression Discontinuity Designs | Aug 13, 2018 | Causal Inferenceregression | CodeCode Available | 0 | 5 |
| Extremal learning: extremizing the output of a neural network in regression problems | Feb 6, 2021 | regression | CodeCode Available | 0 | 5 |
| Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training | Sep 12, 2018 | Abusive LanguageClassification | CodeCode Available | 0 | 5 |
| Face alignment by coarse-to-fine shape searching | Jun 7, 2015 | Face Alignmentregression | CodeCode Available | 0 | 5 |
| Electron Energy Regression in the CMS High-Granularity Calorimeter Prototype | Sep 12, 2023 | Image ReconstructionPosition | CodeCode Available | 0 | 5 |