Connected cars in a cellular network: A measurement study
Carlos E. Andrade, Simon D. Byers, Vijay Gopalakrishnan, Emir Halepovic, David J. Poole, Lien K. Tran, Christopher T. Volinsky
IMC : Internet Measurement Conference, 2017
Can you find me now? Evaluation of network-based localization in a 4G LTE network
Robert Margolies, Richard Becker, Simon Byers, Supratim Deb, Rittwik Jana, Simon Urbanek, Chris Volinsky
2017 May, pp. 1-9
Data Analytics for Urban Mobility Modeling and Traffic Control
Jean-Francois Paiement, M. Yin, Jeff Pang, Colin Goodall, Ann Skudlark, Chris Volinsky, A. Pozdnoukhov
Bloomberg Data For Good Exchange, 2015
Local Structural Features Threaten Privacy across Social Networks
Priya Govindan, J Xu, Shawndra Hill, Tina Eliassi-Rad, Chris Volinsky
The 5th Workshop on Information in Networks, 2013
Human mobility characterization from cellular network data
Richard Becker, Ramon Caceres, Karrie Hanson, Sibren Isaacman, Ji Meng Loh, Margaret Martonosi, James Rowland, Simon Urbanek, Alexander Varshavsky, Chris Volinsky
Commun. ACM, vol. 56, ACM, New York, NY, USA, 2013 Jan, pp. 74--82
Lerzan Aksoy, Alexander Buoye, Bruce Cooil, Timothy L Keiningham, DeDe Paul, Chris Volinsky
Journal of Service Research, vol. 14, SAGE Publications, 2011, pp. 355--371
Clustering Anonymized Mobile Call Detail Records to Find Usage Groups
Richard A Becker, Ram{\'o}n C{\'a}ceres, Karrie Hanson, Ji Meng Loh, Simon Urbanek, Alexander Varshavsky, Chris Volinsky
Ist Workshop on Pervasive Urban Applications, 2011
Route classification using cellular handoff patterns
Richard A Becker, Ramon Caceres, Karrie Hanson, Ji Meng Loh, Simon Urbanek, Alexander Varshavsky, Chris Volinsky
13th International Conference on Ubiquitous Computing (Ubicomp), 2011
Fraud detection in telecommunications: History and lessons learned
Richard A Becker, Chris Volinsky, Allan R Wilks
Technometrics, vol. 52, Taylor \& Francis, 2010, pp. 20--33
All together now: A perspective on the netflix prize
Robert M Bell, Yehuda Koren, Chris Volinsky
Chance, vol. 23, Springer, 2010, pp. 24--24
The million dollar programming prize
Robert Bell, Jim Bennett, Yehuda Koren, Chris Volinsky
Spectrum, IEEE, vol. 46, IEEE, 2009, pp. 28--33
Putting recommendations on the map: visualizing clusters and relations
Emden Gansner, Yifan Hu, Stephen Kobourov, Chris Volinsky
Proceedings of the third ACM conference on Recommender systems, ACM, 2009, pp. 345--348
Matrix factorization techniques for recommender systems
Yehuda Koren, Robert Bell, Chris Volinsky
Computer, vol. 42, IEEE, 2009, pp. 30--37
Collaborative Filtering for Implicit Feedback Datasets
Yifan Hu, Yehuda Koren, Chris Volinsky
IEEE International Conference on Data Mining (ICDM), Winner of 2017 IEEE ICDM 10-Year Highest-Impact Paper Award, 2008
Modeling Relationships at Multiple Scales to Improve Accuracy of Large Recommender Systems
Robert M. Bell, Yehuda Koren, Chris Volinsky
KDD '07: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007, pp. 95--104
Chasing $1,000,000: How We Won The Netflix Progress Prize
Robert M. Bell, Yehuda Koren, Chris Volinsky
Statistical Computing and Statistical Graphics Newsletter, vol. 18, 2007, pp. 4-12
Measuring and extracting proximity graphs in networks
Yehuda Koren, Stephen C. North, Chris Volinsky
ACM Transactions on Knowledge Discovery from Data, vol. 1, New York, NY, USA, 2007, p. 12
Modifying Boosted Trees to Improve Performance on Task 1 of the 2006 KDD Challenge Cup
Robert M. Bell, Patrick G. Haffner, Chris Volinsky
SIGKDD Explorations, vol. 8, 2006, pp. 47-52
Building an Effective Representation for Dynamic Networks
Shawndra Hill, Deepak Agarwal, Robert Bell, Chris Volinsky
Journal of Computational and Graphical Statistics, vol. 15, 2006, pp. 584--608
Network-based Marketing: Identifying likely adopters via consumer networks
Shawndra Hill, Foster Provost, Chris Volinsky
Statistical Science, vol. 21, 2006, pp. 256--276
Measuring and Extracting Proximity in Networks
Yehuda Koren, Stephen C. North, Chris Volinsky
KDD '06: Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining, ACM Press, New York, NY, USA, 2006, pp. 245--255
Mining Customer Care Dialogs for "Daily News"
Shona Douglas, Deepak Agarwal, Tirso Alonso, Robert Bell, Mazin Rahim, Deborah Swayne, Chris Volinsky
IEEE Transactions on Speech and Audio Processing (Special Data Mining Issue), vol. 13, 2005, pp. 652-660
The Gift of Gab: Evidence TelE-Commerce Firms Can Profit from Viral Marketing
Shawndra Hill, Foster Provost, Chris Volinsky
Statistical Challenges in ECommerce: The First Interdisciplinary Symposium Between Information Systems, Statistics, and Related Fields, 2005
BMA: An R Package for Bayesian Model Averaging
Adrian E. Raftery, Ian Painter, Chris Volinsky
{R} News, vol. 5, 2005, pp. 2-8
Computational Methods for Dynamic Graphs
Corinna Cortes, Daryl Pregibon, Chris Volinsky
Journal of Computational and Graphical Statistics, vol. 12, 2003, pp. 950-970
Brendan Wintle, M.A. McCarthy, Chris Volinsky, R. P. Kavanagh
Conservation Biology, vol. 17, 2003, pp. 1579-1590
Parallel Coordinates for Exploratory Modelling Analysis
Antony Unwin, Chris Volinsky, Sylvia Winkler
Computational Statistics and Data Analysis, vol. 28, 2002, pp. 553-564
Corinna Cortes, Daryl Pregibon, Chris Volinsky
Proceedings of Intelligent Data Analysis 2001, 2001, pp. 105--114
Assessment of Response Bias in Mild Head Injury: Beyond Malingering Tests
Scott R. Millis, Chris Volinsky
Journal of Clinical and Experimental Neuropsychology, vol. 23, 2001, pp. 809-828
Bayesian Information Criterion for Censored Survival Models
Chris T. Volinsky, Adrian E. Raftery
Biometrics, vol. 56, 2000, pp. 256-262
Bill DuMouchel, Chris Volinsky, Theodore Johnson, Corinna Cortes, Daryl Pregibon
KDD '99: Proceedings of the 5th Int. Conf. on Knowledge Discovery and Data Mining, AAAI Press, 1999, pp. 6-15
Bayesian Model Averaging: A Tutorial
Jennifer A. Hoeting, David Madigan, Adrian Raftery, Chris T. Volinsky
Statistical Science, vol. 14, 1999, pp. 382-401
Bayesian Information Criterion for Censored Survival Models
Chris T. Volinsky, Adrian E. Raftery
Department of Statistics, University of Washington, 1999
Bayesian Model Averaging in Proportional Hazard Models: Assessing the Risk of a Stroke
Chris T. Volinsky, David Madigan, Adrian E. Raftery, Richard A. Kronmal
Applied Statistics, vol. 46, 1997, pp. 443-448
Bayesian Model Averaging and Model Selection for Markov Equivalence Classes of Acyclic Digraphs
David Madigan, Steen A. Andersson, Michael Perlman, Chris T. Volinsky
Communications in Statistics: Theory and Methods, vol. 25, 1996, pp. 2493-2520
David Madigan, Adrian E. Raftery, Chris Volinsky, Jennifer Hoeting
P. Chan, S. Stolofo, D. Wolpert, Integrating Multiple Learned Models (IMLM96), 1996
Adrian E. Raftery, David Madigan, Chris T. Volinsky
J.M. Bernardo, J.O. Berger, A.P. Dawid, A.F.M Smith, {B}ayesian Statistics 5, Oxford University Press, 1995, pp. 323--349