John Guiver - RankMe

19 papers A* 7A 2C 1Journal 4Unranked 5

Year	Rank	Type	Title / Venue / Authors
2021	—	`conf`	Enterprise Alexandria: Online High-Precision Enterprise Knowledge Base Construction with Typed Entities. AKBC John M. Winn, Matteo Venanzi, Tom Minka, Ivan Korostelev, John Guiver, Elena Pochernina, Pavel Mishkov, Alex Spengler, Denise J. Wilkins, Siân E. Lindley, Richard Banks, Sam Webster, Yordan Zaykov
2019	—	`conf`	Alexandria: Unsupervised High-Precision Knowledge Base Construction using a Probabilistic Program. AKBC John M. Winn, John Guiver, Sam Webster, Yordan Zaykov, Martin Kukla, Dany Fabian
2016	J	`jnl`	Time-Sensitive Bayesian Information Aggregation for Crowdsourcing Systems. J. Artif. Intell. Res. Matteo Venanzi, John Guiver, Pushmeet Kohli, Nicholas R. Jennings
2015	A*	`conf`	Language Understanding in the Wild: Combining Crowdsourcing and Machine Learning. WWW Edwin Simpson, Matteo Venanzi, Steven Reece, Pushmeet Kohli, John Guiver, Stephen J. Roberts, Nicholas R. Jennings
2015	J	`jnl`	Time-Sensitive Bayesian Information Aggregation for Crowdsourcing Systems. CoRR Matteo Venanzi, John Guiver, Pushmeet Kohli, Nick R. Jennings
2014	—	`conf`	A large-scale exploration of group viewing patterns. TVX Allison June-Barlow Chaney, Mike Gartrell, Jake M. Hofman, John Guiver, Noam Koenigstein, Pushmeet Kohli, Ulrich Paquet
2014	A*	`conf`	Community-based bayesian aggregation models for crowdsourcing. WWW Matteo Venanzi, John Guiver, Gabriella Kazai, Pushmeet Kohli, Milad Shokouhi
2014	—	`conf`	Students, Teachers, Exams and MOOCs: Predicting and Optimizing Attainment in Web-Based Education Using a Probabilistic Graphical Model. ECML/PKDD (3) Bar Shalem, Yoram Bachrach, John Guiver, Christopher M. Bishop
2014	A*	`conf`	Tabular: a schema-driven probabilistic programming language. POPL Andrew D. Gordon, Thore Graepel, Nicolas Rolland, Claudio V. Russo, Johannes Borgström, John Guiver
2012	A	`conf`	De-Layering Social Networks by Shared Tastes of Friendships. ICWSM Laura Dietz, Ben Gamari, John Guiver, Edward Lloyd Snelson, Ralf Herbrich
2012	A*	`conf`	How To Grade a Test Without Knowing the Answers - A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing. ICML Yoram Bachrach, Thore Graepel, Tom Minka, John Guiver
2010	A*	`conf`	Statistical models of music-listening sessions in social media. WWW Elena Zheleva, John Guiver, Eduarda Mendes Rodrigues, Natasa Milic-Frayling
2009	J	`jnl`	A few good topics: Experiments in topic set reduction for retrieval evaluation. ACM Trans. Inf. Syst. John Guiver, Stefano Mizzaro, Stephen Robertson
2009	A*	`conf`	Bayesian inference for Plackett-Luce ranking models. ICML John Guiver, Edward Lloyd Snelson
2009	J	`jnl`	Novel tools to streamline the conference review process: experiences from SIGKDD'09. SIGKDD Explor. Peter A. Flach, Sebastian Spiegler, Bruno Golénia, Simon Price, John Guiver, Ralf Herbrich, Thore Graepel, Mohammed J. Zaki
2008	A*	`conf`	Learning to rank with SoftRank and Gaussian processes. SIGIR John Guiver, Edward Lloyd Snelson
2008	A	`conf`	SoftRank: optimizing non-smooth rank metrics. WSDM Michael J. Taylor, John Guiver, Stephen Robertson, Tom Minka
2003	C	`conf`	Introducing the state space bounded derivative network for commercial transition control. ACC Paul Turner, John Guiver, Brian Lines
2003	—	`conf`	The state space bounded derivative network superceding the application of neural networks in control. ECC Paul Turner, John Guiver