| On The Reliability Of Machine Learning Applications In Manufacturing Environments | Dec 13, 2021 | BIG-bench Machine LearningDrift Detection | —Unverified | 0 | 0 |
| On the Robustness of Regularized Pairwise Learning Methods Based on Kernels | Oct 12, 2015 | BIG-bench Machine LearningLearning Theory | —Unverified | 0 | 0 |
| On the Robustness of Sentiment Analysis for Stock Price Forecasting | Jan 1, 2021 | BIG-bench Machine LearningObject Recognition | —Unverified | 0 | 0 |
| On the Role of System Software in Energy Management of Neuromorphic Computing | Mar 22, 2021 | BIG-bench Machine Learningenergy management | —Unverified | 0 | 0 |
| On the Safety of Machine Learning: Cyber-Physical Systems, Decision Sciences, and Data Products | Oct 5, 2016 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| On the Generalization of Stochastic Gradient Descent with Momentum | Sep 12, 2018 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| On the suitability of generalized regression neural networks for GNSS position time series prediction for geodetic applications in geodesy and geophysics | May 22, 2020 | BIG-bench Machine LearningGeophysics | —Unverified | 0 | 0 |
| Towards Super-polynomial Quantum Speedup of Equivariant Quantum Algorithms with SU(d) Symmetry | Jul 15, 2022 | BIG-bench Machine LearningQuantum Machine Learning | —Unverified | 0 | 0 |
| On the Synergies between Machine Learning and Binocular Stereo for Depth Estimation from Images: a Survey | Apr 18, 2020 | BIG-bench Machine LearningDepth Estimation | —Unverified | 0 | 0 |
| On the Tractability of SHAP Explanations | Sep 18, 2020 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| On the Use of Default Parameter Settings in the Empirical Evaluation of Classification Algorithms | Mar 20, 2017 | BIG-bench Machine LearningGeneral Classification | —Unverified | 0 | 0 |
| On the Use of Interpretable Machine Learning for the Management of Data Quality | Jul 29, 2020 | BIG-bench Machine LearningDecision Making | —Unverified | 0 | 0 |
| On the Privacy Risks of Deploying Recurrent Neural Networks in Machine Learning Models | Oct 6, 2021 | BIG-bench Machine LearningImage Classification | —Unverified | 0 | 0 |
| Ontology-based Fuzzy Markup Language Agent for Student and Robot Co-Learning | Jan 26, 2018 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| On Training Classifiers for Linking Event Templates | Aug 1, 2018 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| On Using Retrained and Incremental Machine Learning for Modeling Performance of Adaptable Software: An Empirical Comparison | Mar 25, 2019 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| On Variational Inference for User Modeling in Attribute-Driven Collaborative Filtering | Dec 2, 2020 | AttributeBIG-bench Machine Learning | —Unverified | 0 | 0 |
| OpBerg: Discovering causal sentences using optimal alignments | Apr 3, 2019 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Open-environment Machine Learning | Jun 1, 2022 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Open Issues in Combating Fake News: Interpretability as an Opportunity | Apr 4, 2019 | BIG-bench Machine LearningFake News Detection | —Unverified | 0 | 0 |
| Open Problems in Engineering and Quality Assurance of Safety Critical Machine Learning Systems | Dec 7, 2018 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Engineering problems in machine learning systems | Apr 1, 2019 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Open-radiomics: A Collection of Standardized Datasets and a Technical Protocol for Reproducible Radiomics Machine Learning Pipelines | Jul 29, 2022 | BIG-bench Machine LearningSurvival Analysis | —Unverified | 0 | 0 |
| Open science in machine learning | Feb 24, 2014 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Open Source Dataset and Machine Learning Techniques for Automatic Recognition of Historical Graffiti | Aug 31, 2018 | BIG-bench Machine LearningData Augmentation | —Unverified | 0 | 0 |
| OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing | Jul 13, 2020 | BIG-bench Machine LearningEarth Observation | —Unverified | 0 | 0 |
| Open-world Machine Learning: Applications, Challenges, and Opportunities | May 27, 2021 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Operational thermal load forecasting in district heating networks using machine learning and expert advice | Oct 17, 2017 | BIG-bench Machine LearningLoad Forecasting | —Unverified | 0 | 0 |
| Opinion Spam Detection: A New Approach Using Machine Learning and Network-Based Algorithms | May 26, 2022 | Active LearningBIG-bench Machine Learning | —Unverified | 0 | 0 |
| Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey | Jul 1, 2020 | Adversarial RobustnessBIG-bench Machine Learning | —Unverified | 0 | 0 |
| Opportunities for Machine Learning to Accelerate Halide Perovskite Commercialization and Scale-Up | Oct 8, 2021 | Active LearningBIG-bench Machine Learning | —Unverified | 0 | 0 |
| A Review of Challenges and Opportunities in Machine Learning for Health | Jun 1, 2018 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Opportunities of a Machine Learning-based Decision Support System for Stroke Rehabilitation Assessment | Feb 27, 2020 | BIG-bench Machine LearningDecision Making | —Unverified | 0 | 0 |
| OptABC: an Optimal Hyperparameter Tuning Approach for Machine Learning Algorithms | Dec 15, 2021 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Optical machine learning with incoherent light and a single-pixel detector | Apr 24, 2019 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Optimal Algorithms for Continuous Non-monotone Submodular and DR-Submodular Maximization | May 24, 2018 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Optimal Algorithms for Ski Rental with Soft Machine-Learned Predictions | Feb 28, 2019 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Optimal Black-Box Reductions Between Optimization Objectives | Mar 17, 2016 | BIG-bench Machine LearningGeneral Classification | —Unverified | 0 | 0 |
| Optimal Bounds on the VC-dimension | Jul 20, 2018 | BIG-bench Machine LearningOpen-Ended Question Answering | —Unverified | 0 | 0 |
| Optimal choice: new machine learning problem and its solution | Jun 26, 2017 | BIG-bench Machine LearningLearning Theory | —Unverified | 0 | 0 |
| Optimal Cooperative Inference | May 24, 2017 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Optimal Decision Lists using SAT | Oct 19, 2020 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Differentially Private ADMM for Distributed Medical Machine Learning | Jan 7, 2019 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Optimal Hybrid Channel Allocation:Based On Machine Learning Algorithms | Sep 28, 2013 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Optimal Linear Combination of Classifiers | Mar 1, 2021 | BIG-bench Machine LearningGeneral Classification | —Unverified | 0 | 0 |
| Optimal Pricing of Internet of Things: A Machine Learning Approach | Feb 14, 2020 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Compositional optimization of quantum circuits for quantum kernels of support vector machines | Mar 25, 2022 | Bayesian OptimizationBIG-bench Machine Learning | —Unverified | 0 | 0 |
| Optimal radial basis for density-based atomic representations | May 18, 2021 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Optimal Ratio for Data Splitting | Feb 7, 2022 | BIG-bench Machine Learningregression | —Unverified | 0 | 0 |
| Optimal Sampling Gaps for Adaptive Submodular Maximization | Apr 5, 2021 | Active LearningBIG-bench Machine Learning | —Unverified | 0 | 0 |