Mike Anderson

Ph.D. Candidate
Advisor: Mike Cafarella
Computer Science & Engineering
University of Michigan, Ann Arbor
Office: 4957 BBB
E-mail: mrander (at) umich (dot) edu


[1] Michael R. Anderson and Michael Cafarella. Input Selection for Fast Feature Engineering. ICDE, 2016.
[2] Dolan Antenucci, Michael R. Anderson, Penghua Zhao, and Michael Cafarella A Query System for Social Media Signals. ICDE Demo, 2016.
[3] Michael R. Anderson, Michael Cafarella, Yixing Jiang, Guan Wang, and Bochun Zhang. An Integrated Development Environment for Faster Feature Engineering. VLDB Demo, 2014.
[4] F. Agostinelli, M. Anderson, and H. Lee. Adaptive Multi-Column Deep Neural Networks with Application to Robust Image Denoising. In NIPS, 2013. [code]
[5] M. Anderson, D. Antenucci, V. Bittorf, M. Burgess, M. Cafarella, A. Kumar, F. Niu, Y. Park, C. Ré, and C. Zhang. Brainwash: A data system for feature engineering. In CIDR, 2013.
[6] L. Ratinov, D. Downey, M. Anderson, and D. Roth. Local and global algorithms for disambiguation to Wikipedia. Proc. of the Annual Meeting of the Association of Computational Linguistics (ACL), 2011.
[7] D. Downey, A. Ahuja, and M. Anderson. Learning to integrate relational databases with Wikipedia. User-Contributed Knowledge and Artificial Intelligence: An Evolving Synergy, 2009.
[8] G. Ozsoyoglu, MR Anderson, and ZM Ozsoyoglu. Web search with metadata links and multimedia presentations. Sixth Int. Workshop on Multimedia Information Systems, 2000.

Abstracts, Talks, etc.

[9] Michael R. Anderson and Michael Cafarella. Faster Feature Engineering by Approximate Evaluation North East Database Day, 2016.
[10] Michael R. Anderson. Faster Evaluation of Labor-Intensive Features. CIDR Abstract, 2015.