majority voting

On Margins and Generalisation for Voting Classifiers NeurIPS 2022 Fighting the COVID-19 Infodemic with a Holistic BERT Ensemble NAACL 2021 Majority Opinion Diffusion in Social Networks: An Adversarial Approach AAAI 2021 VocalTurk: Exploring Feasibility of Crowdsourced Speaker Identification Interspeech 2021 Automatic Discrimination of Apraxia of Speech and Dysarthria Using a Minimalistic Set of Handcrafted Features Interspeech 2020 CSECU-DSG at WNUT-2020 Task 2: Exploiting Ensemble of Transfer Learning and Hand-crafted Features for Identification of Informative COVID-19 English Tweets EMNLP 2020 Enhancing Transformation-Based Defenses Against Adversarial Attacks with a Distribution Classifier ICLR 2020 Frustratingly Easy Multilingual Grapheme-to-Phoneme Conversion ACL 2020 Statistical Guarantees of Distributed Nearest Neighbor Classification NeurIPS 2020 Rates of Convergence for Large-scale Nearest Neighbor Classification NeurIPS 2019 A Novel Data Representation for Effective Learning in Class Imbalanced Scenarios IJCAI 2018 A Communication-Efficient Parallel Algorithm for Decision Tree NeurIPS 2016 An urn model for majority voting in classification ensembles NeurIPS 2016 Max-Margin Majority Voting for Learning from Crowds NeurIPS 2015 Robust Heart Rate Measurement From Video Using Select Random Patches ICCV 2015 Bayesian Classifier Combination AISTATS 2012 Iterative Learning for Reliable Crowdsourcing Systems NeurIPS 2011 Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise NeurIPS 2009