| Enhancing Adversarial Attacks on Single-Layer NVM Crossbar-Based Neural Networks with Power Consumption Information | Jul 6, 2022 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems | Apr 7, 2022 | Anomaly DetectionBIG-bench Machine Learning | —Unverified | 0 | 0 |
| Enhancing Generalizability of Predictive Models with Synergy of Data and Physics | May 4, 2021 | BIG-bench Machine LearningFeature Engineering | —Unverified | 0 | 0 |
| Enhancing Generative Models via Quantum Correlations | Jan 20, 2021 | BIG-bench Machine LearningQuantum Machine Learning | —Unverified | 0 | 0 |
| Differential Network Analysis: A Statistical Perspective | Mar 9, 2020 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Enhancing Robustness of Machine Learning Systems via Data Transformations | Apr 9, 2017 | BIG-bench Machine LearningClassification | —Unverified | 0 | 0 |
| Differentially Private Shapley Values for Data Evaluation | Jun 1, 2022 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Ensemble-based kernel learning for a class of data assimilation problems with imperfect forward simulators | Jan 30, 2019 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| A Molecular-MNIST Dataset for Machine Learning Study on Diffraction Imaging and Microscopy | Nov 15, 2019 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Attack Strength vs. Detectability Dilemma in Adversarial Machine Learning | Feb 20, 2018 | BIG-bench Machine Learningfeature selection | —Unverified | 0 | 0 |
| Ensemble Kalman Inversion: A Derivative-Free Technique For Machine Learning Tasks | Aug 10, 2018 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Ensemble learning of diffractive optical networks | Sep 15, 2020 | BIG-bench Machine LearningClassification | —Unverified | 0 | 0 |
| A Modular System for Rule-based Text Categorisation | May 1, 2014 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Ensemble learning with Conformal Predictors: Targeting credible predictions of conversion from Mild Cognitive Impairment to Alzheimer's Disease | Jul 4, 2018 | BIG-bench Machine LearningEnsemble Learning | —Unverified | 0 | 0 |
| Ensemble machine learning approach for screening of coronary heart disease based on echocardiography and risk factors | May 20, 2021 | BIG-bench Machine LearningClassification | —Unverified | 0 | 0 |
| Ensemble Machine Learning Methods for Modeling COVID19 Deaths | Oct 4, 2020 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Ensemble Method for Censored Demand Prediction | Oct 22, 2018 | BIG-bench Machine LearningManagement | —Unverified | 0 | 0 |
| Ensemble Models for Detecting Wikidata Vandalism with Stacking - Team Honeyberry Vandalism Detector at WSDM Cup 2017 | Dec 19, 2017 | BIG-bench Machine LearningBinary Classification | —Unverified | 0 | 0 |
| A Comprehensive Evaluation of Machine Learning Techniques for Cancer Class Prediction Based on Microarray Data | Jul 26, 2013 | AttributeBIG-bench Machine Learning | —Unverified | 0 | 0 |
| A Brief Review of Domain Adaptation | Oct 7, 2020 | BIG-bench Machine LearningDomain Adaptation | —Unverified | 0 | 0 |
| Data Heterogeneity Differential Privacy: From Theory to Algorithm | Feb 20, 2020 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Differentially-Private "Draw and Discard" Machine Learning | Jul 11, 2018 | BIG-bench Machine LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Ensuring Dataset Quality for Machine Learning Certification | Nov 3, 2020 | BIG-bench Machine LearningManagement | —Unverified | 0 | 0 |
| Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing | Jul 28, 2020 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Differentially Private Data Generative Models | Dec 6, 2018 | BIG-bench Machine LearningFederated Learning | —Unverified | 0 | 0 |
| Entangled q-Convolutional Neural Nets | Mar 6, 2021 | BIG-bench Machine LearningGeneral Classification | —Unverified | 0 | 0 |
| Entanglement and Tensor Networks for Supervised Image Classification | Jul 12, 2020 | BIG-bench Machine LearningClassification | —Unverified | 0 | 0 |
| Differentially Private Correlation Clustering | Feb 17, 2021 | BIG-bench Machine LearningClustering | —Unverified | 0 | 0 |
| Enterprise AI Canvas -- Integrating Artificial Intelligence into Business | Sep 18, 2020 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Entity Embedding as Game Representation | Oct 4, 2020 | BIG-bench Machine LearningEntity Embeddings | —Unverified | 0 | 0 |
| A modular framework for extreme weather generation | Feb 5, 2021 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Differentially Private Confidence Intervals for Empirical Risk Minimization | Apr 11, 2018 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Enumeration of Distinct Support Vectors for Interactive Decision Making | Jun 5, 2019 | BIG-bench Machine LearningDecision Making | —Unverified | 0 | 0 |
| Environmental Pollution Prediction of NOx by Process Analysis and Predictive Modelling in Natural Gas Turbine Power Plants | Nov 5, 2020 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Epidemic Dynamics via Wavelet Theory and Machine Learning, with Applications to Covid-19 | Oct 27, 2020 | BIG-bench Machine LearningModel Selection | —Unverified | 0 | 0 |
| Equity Beyond Bias in Language Technologies for Education | Aug 1, 2019 | Automated Essay ScoringBIG-bench Machine Learning | —Unverified | 0 | 0 |
| Equity forecast: Predicting long term stock price movement using machine learning | Mar 2, 2016 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Equivalence of Learning Algorithms | Jun 10, 2014 | BIG-bench Machine Learningregression | —Unverified | 0 | 0 |
| Differentially Private Bayesian Optimization | Jan 16, 2015 | Bayesian OptimizationBIG-bench Machine Learning | —Unverified | 0 | 0 |
| ERBlox: Combining Matching Dependencies with Machine Learning for Entity Resolution | Feb 7, 2016 | AttributeBIG-bench Machine Learning | —Unverified | 0 | 0 |
| Attack-Centric Approach for Evaluating Transferability of Adversarial Samples in Machine Learning Models | Dec 3, 2021 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Differentially Private and Fair Classification via Calibrated Functional Mechanism | Jan 14, 2020 | Autonomous DrivingBIG-bench Machine Learning | —Unverified | 0 | 0 |
| Differentially Private Algorithms for Empirical Machine Learning | Nov 20, 2014 | BIG-bench Machine LearningGeneral Classification | —Unverified | 0 | 0 |
| Attack and defence in cellular decision-making: lessons from machine learning | Jul 10, 2018 | BIG-bench Machine LearningDecision Making | —Unverified | 0 | 0 |
| Adversarial Machine Learning And Speech Emotion Recognition: Utilizing Generative Adversarial Networks For Robustness | Oct 24, 2018 | Adversarial AttackBIG-bench Machine Learning | —Unverified | 0 | 0 |
| Error-Resilient Machine Learning in Near Threshold Voltage via Classifier Ensemble | Jul 3, 2016 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Differentially Private ADMM Algorithms for Machine Learning | Oct 31, 2020 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| ES Attack: Model Stealing against Deep Neural Networks without Data Hurdles | Sep 21, 2020 | BIG-bench Machine Learning | —Unverified | 0 | 0 |
| Escalation Prediction using Feature Engineering: Addressing Support Ticket Escalations within IBM's Ecosystem | Oct 12, 2020 | BIG-bench Machine LearningFeature Engineering | —Unverified | 0 | 0 |
| Differential equations as models of deep neural networks | Sep 9, 2019 | BIG-bench Machine Learning | —Unverified | 0 | 0 |