Dynamic Bayesian Combination of Multiple Imperfect Classifiers

8 June 2012

Papers citing "Dynamic Bayesian Combination of Multiple Imperfect Classifiers"

24 / 24 papers shown

Title
Uncertainty Estimation for Molecules: Desiderata and Methods Tom Wollschlager Nicholas Gao Bertrand Charpentier Mohamed Amine Ketata Stephan Günnemann 23 9 0 20 Jun 2023
Transferring Annotator- and Instance-dependent Transition Matrix for Learning from Crowds Shikun Li Xiaobo Xia Jiankang Deng Shiming Ge Tongliang Liu 22 15 0 05 Jun 2023
Unsupervised Ranking and Aggregation of Label Descriptions for Zero-Shot Classifiers Angelo Basile Marc Franco-Salvador Paolo Rosso VLM 10 2 0 20 Apr 2022
Trustable Co-label Learning from Multiple Noisy Annotators Shikun Li Tongliang Liu Jiyong Tan Dan Zeng Shiming Ge NoLa 20 27 0 08 Mar 2022
Disaster mapping from satellites: damage detection with crowdsourced point labels Danil Kuzin Olga Isupova Brooke D. Simmons S. Reece 29 8 0 05 Nov 2021
Learning from Crowds with Sparse and Imbalanced Annotations Ye Shi Shao-Yuan Li Sheng-Jun Huang 24 5 0 11 Jul 2021
Bayesian Classifier Fusion with an Explicit Model of Correlation Susanne Trick Constantin Rothkopf FedML 11 3 0 03 Jun 2021
Natural Posterior Network: Deep Bayesian Uncertainty for Exponential Family Distributions Bertrand Charpentier Oliver Borchert Daniel Zügner Simon Geisler Stephan Günnemann UQCV BDL 27 17 0 10 May 2021
Bayesian Crowdsourcing with Constraints Panagiotis A. Traganitis G. Giannakis 23 1 0 20 Dec 2020
Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing Hanlu Wu Tengfei Ma Lingfei Wu S. Ji FedML 10 11 0 25 Oct 2020
SURF: Improving classifiers in production by learning from busy and noisy end users J. Lockhart Samuel A. Assefa Ayham Alajdad Andrew Alexander T. Balch Manuela Veloso NoLa 11 488 0 12 Oct 2020
Active Multi-Label Crowd Consensus Jinzheng Tu Guoxian Yu C. Domeniconi Jun Wang Xiangliang Zhang 13 21 0 07 Nov 2019
Towards better healthcare: What could and should be automated? Wolfgang Frühwirt Paul Duckworth 23 16 0 21 Oct 2019
Bayesian Heatmaps: Probabilistic Classification with Multiple Unreliable Information Sources Edwin Simpson S. Reece Stephen J. Roberts 18 3 0 05 Apr 2019
Truth Inference at Scale: A Bayesian Model for Adjudicating Highly Redundant Crowd Annotations Yuan Li Benjamin I. P. Rubinstein Trevor Cohn 14 31 0 24 Feb 2019
A Full Probabilistic Model for Yes/No Type Crowdsourcing in Multi-Class Classification Belen Saldias-Fuentes P. Protopapas K. Pichara 12 0 0 02 Jan 2019
A Technical Survey on Statistical Modelling and Design Methods for Crowdsourcing Quality Control Yuan Jin Mark J. Carman Ye Zhu Yong Xiang 11 35 0 05 Dec 2018
BCCNet: Bayesian classifier combination neural network Olga Isupova Yunpeng Li Danil Kuzin Stephen J. Roberts Katherine J. Willis S. Reece 11 7 0 29 Nov 2018
A Bayesian Approach for Sequence Tagging with Crowds Edwin Simpson Iryna Gurevych NoLa 14 4 0 02 Nov 2018
Optimizing the Human-Machine Partnership with Zooniverse Lucy Fortson D. Wright Chris J. Lintott L. Trouille 25 10 0 25 Sep 2018
Efficient Crowdsourcing via Proxy Voting Gal Cohensius Omer Ben-Porat R. Meir Ofra Amir 14 5 0 16 Jun 2018
Time-Sensitive Bayesian Information Aggregation for Crowdsourcing Systems M. Venanzi J. Guiver Pushmeet Kohli N. Jennings 14 32 0 21 Oct 2015
Bayesian Nonparametric Crowdsourcing Pablo G. Moreno Yee Whye Teh Fernando Perez-Cruz Antonio Artés-Rodríguez 36 59 0 18 Jul 2014
Communication Communities in MOOCs Nabeel Gillani R. Eynon Michael A. Osborne I. Hjorth Stephen J. Roberts 38 22 0 18 Mar 2014