| Applying Machine Learning in Self-Adaptive Systems: A Systematic Literature Review | Mar 6, 2021 | BIG-bench Machine LearningSystematic Literature Review | —Unverified | 0 |
| Discussion Structure Prediction Based on a Two-step Method | Sep 1, 2021 | BIG-bench Machine LearningLink Prediction | —Unverified | 0 |
| Disease Labeling via Machine Learning is NOT quite the same as Medical Diagnosis | Sep 8, 2019 | AnatomyBIG-bench Machine Learning | —Unverified | 0 |
| Disease Progression Modeling Workbench 360 | Jun 24, 2021 | BIG-bench Machine Learning | —Unverified | 0 |
| Disembodied Machine Learning: On the Illusion of Objectivity in NLP | Jan 28, 2021 | BIG-bench Machine Learning | —Unverified | 0 |
| A Universal Density Matrix Functional from Molecular Orbital-Based Machine Learning: Transferability across Organic Molecules | Jan 10, 2019 | BIG-bench Machine LearningDiversity | —Unverified | 0 |
| Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning | Sep 8, 2021 | BIG-bench Machine Learning | —Unverified | 0 |
| Disentangling style and content for low resource video domain adaptation: a case study on keystroke inference attacks | Jan 1, 2021 | BIG-bench Machine LearningData Augmentation | —Unverified | 0 |
| Adversarial Machine Learning -- Industry Perspectives | Feb 4, 2020 | BIG-bench Machine Learning | —Unverified | 0 |
| Disparities in Social Determinants among Performances of Mortality Prediction with Machine Learning for Sepsis Patients | Dec 15, 2021 | BIG-bench Machine LearningDiagnostic | —Unverified | 0 |
| Dispersion Characterization and Pulse Prediction with Machine Learning | Sep 5, 2019 | BIG-bench Machine LearningPrediction | —Unverified | 0 |
| Disrupting Model Training with Adversarial Shortcuts | Jun 12, 2021 | BIG-bench Machine Learningimage-classification | —Unverified | 0 |
| Distance formulas capable of unifying Euclidian space and probability space | Jan 6, 2018 | BIG-bench Machine Learning | —Unverified | 0 |
| Distance metric learning based on structural neighborhoods for dimensionality reduction and classification performance improvement | Feb 9, 2019 | BIG-bench Machine LearningDimensionality Reduction | —Unverified | 0 |
| An Active Learning Framework for Constructing High-fidelity Mobility Maps | Mar 7, 2020 | Active LearningBIG-bench Machine Learning | —Unverified | 0 |
| Distilling Black-Box Travel Mode Choice Model for Behavioral Interpretation | Oct 30, 2019 | BIG-bench Machine Learning | —Unverified | 0 |
| Distilling Information from a Flood: A Possibility for the Use of Meta-Analysis and Systematic Review in Machine Learning Research | Dec 3, 2018 | BIG-bench Machine LearningEpidemiology | —Unverified | 0 |
| Authorship Attribution Using Word Network Features | Nov 12, 2013 | Authorship AttributionBIG-bench Machine Learning | —Unverified | 0 |
| Distilling Wikipedia mathematical knowledge into neural network models | Apr 13, 2021 | BIG-bench Machine LearningPhilosophy | —Unverified | 0 |
| Distinction between features extracted using deep belief networks | Dec 20, 2013 | BIG-bench Machine LearningFace Recognition | —Unverified | 0 |
| Distinguishability of Adversarial Examples | May 1, 2019 | BIG-bench Machine LearningMalware Detection | —Unverified | 0 |
| Distinguishing Clinical Sentiment: The Importance of Domain Adaptation in Psychiatric Patient Health Records | Apr 5, 2019 | BIG-bench Machine LearningDecision Making | —Unverified | 0 |
| AutoAI-TS: AutoAI for Time Series Forecasting | Feb 24, 2021 | BenchmarkingBIG-bench Machine Learning | —Unverified | 0 |
| An Advanced Press Review System Combining Deep News Analysis and Machine Learning Algorithms | Aug 1, 2016 | BIG-bench Machine LearningSentiment Analysis | —Unverified | 0 |
| Distortion and Faults in Machine Learning Software | Nov 25, 2019 | BIG-bench Machine Learning | —Unverified | 0 |
| autoBagging: Learning to Rank Bagging Workflows with Metalearning | Jun 28, 2017 | AutoMLBayesian Optimization | —Unverified | 0 |
| Distributed Averaging CNN-ELM for Big Data | Oct 7, 2016 | BIG-bench Machine Learning | —Unverified | 0 |
| Distributed Byzantine Tolerant Stochastic Gradient Descent in the Era of Big Data | Feb 27, 2019 | BIG-bench Machine Learning | —Unverified | 0 |
| Distributed creation of Machine learning agents for Blockchain analysis | Sep 6, 2019 | Bayesian OptimizationBIG-bench Machine Learning | —Unverified | 0 |
| Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud | May 11, 2018 | BIG-bench Machine Learningfeature selection | —Unverified | 0 |
| Auto-CASH: Autonomous Classification Algorithm Selection with Deep Q-Network | Jul 7, 2020 | BIG-bench Machine LearningGeneral Classification | —Unverified | 0 |
| Adversarial Machine Learning In Network Intrusion Detection Domain: A Systematic Review | Dec 6, 2021 | BIG-bench Machine LearningFeature Engineering | —Unverified | 0 |
| Applying Machine Learning and AI Explanations to Analyze Vaccine Hesitancy | Jan 7, 2022 | BIG-bench Machine Learning | —Unverified | 0 |
| Compressive-Sensing Data Reconstruction for Structural Health Monitoring: A Machine-Learning Approach | Jan 7, 2019 | BIG-bench Machine LearningCompressive Sensing | —Unverified | 0 |
| Algorithms for solving optimization problems arising from deep neural net models: nonsmooth problems | Jun 30, 2018 | BIG-bench Machine LearningGeneral Classification | —Unverified | 0 |
| ABC: Efficient Selection of Machine Learning Configuration on Large Dataset | Nov 8, 2018 | BIG-bench Machine Learning | —Unverified | 0 |
| Distributed learning with compressed gradients | Jun 18, 2018 | BIG-bench Machine LearningDistributed Optimization | —Unverified | 0 |
| Distributed Machine Learning and the Semblance of Trust | Dec 21, 2021 | BIG-bench Machine LearningFederated Learning | —Unverified | 0 |
| Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications | Dec 2, 2020 | BIG-bench Machine LearningCloud Computing | —Unverified | 0 |
| Distributed Machine Learning in Materials that Couple Sensing, Actuation, Computation and Communication | Jun 11, 2016 | BIG-bench Machine LearningStructural Health Monitoring | —Unverified | 0 |
| Dynamic backdoor attacks against federated learning | Nov 15, 2020 | Adversarial AttackBIG-bench Machine Learning | —Unverified | 0 |
| Distributed Machine Learning through Heterogeneous Edge Systems | Nov 16, 2019 | BIG-bench Machine Learning | —Unverified | 0 |
| Distributed Machine Learning via Sufficient Factor Broadcasting | Sep 19, 2014 | BIG-bench Machine Learning | —Unverified | 0 |
| Distributed Machine Learning via Sufficient Factor Broadcasting | Nov 26, 2015 | BIG-bench Machine Learning | —Unverified | 0 |
| Dynamic Compression Ratio Selection for Edge Inference Systems with Hard Deadlines | May 25, 2020 | Autonomous DrivingBIG-bench Machine Learning | —Unverified | 0 |
| Distributed Optimization for Client-Server Architecture with Negative Gradient Weights | Aug 12, 2016 | BIG-bench Machine LearningDistributed Optimization | —Unverified | 0 |
| Distributed Parameter Map-Reduce | Oct 3, 2015 | BIG-bench Machine Learningregression | —Unverified | 0 |
| Distributed Power-law Graph Computing: Theoretical and Empirical Analysis | Dec 1, 2014 | BIG-bench Machine Learninggraph partitioning | —Unverified | 0 |
| Distributed Processing of Biosignal-Database for Emotion Recognition with Mahout | Sep 9, 2016 | BIG-bench Machine LearningEmotion Recognition | —Unverified | 0 |
| Dynamic fairness - Breaking vicious cycles in automatic decision making | Feb 1, 2019 | BIG-bench Machine LearningDecision Making | —Unverified | 0 |