George Forman - RankMe

38 papers A* 9A 5Journal 9Unranked 15

Year	Rank	Type	Title / Venue / Authors
2021	—	`conf`	Getting Your Package to the Right Place: Supervised Machine Learning for Geolocation. ECML/PKDD (4) George Forman
2021	—	`conf`	What's Mine is Yours, What's Yours is Mine: Simplifying Significance Testing With Big Data. EDBT/ICDT Workshops Karan Matnani, Valerie Liptak, George Forman
2015	—	`conf`	Clustering by Intent: A Semi-Supervised Method to Discover Relevant Clusters Incrementally. ECML/PKDD (3) George Forman, Hila Nachlieli, Renato Keshet
2015	J	`jnl`	Mining Large-Scale GPS Streams for Connectivity Refinement of Road Maps. Comput. J. Yanmin Zhu, Yin Wang, George Forman, Hong Wei
2013	A	`conf`	CrowdAtlas: self-updating maps for cloud and personal use. MobiSys Yin Wang, Xuemei Liu, Hong Wei, George Forman, Chao Chen, Yanmin Zhu
2013	A	`conf`	CrowdAtlas: self-updating maps for cloud and personal use. MobiSys Yin Wang, Xuemei Liu, Hong Wei, George Forman, Yanmin Zhu
2013	—	`conf`	Map matching: comparison of approaches using sparse and noisy data. SIGSPATIAL/GIS Hong Wei, Yin Wang, George Forman, Yanmin Zhu
2013	—	`conf`	Mining large-scale gps streams for connectivity refinement of road maps. SIGSPATIAL/GIS Yin Wang, Hong Wei, George Forman
2012	—	`conf`	A Live Comparison of Methods for Personalized Article Recommendation at Forbes.com. ECML/PKDD (2) Evan Kirshenbaum, George Forman, Michael Dugan
2012	—	`conf`	Fast Viterbi map matching with tunable weight functions. SIGSPATIAL/GIS Hong Wei, Yin Wang, George Forman, Yanmin Zhu, Haibing Guan
2012	A	`conf`	Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable. SDM George Forman
2012	A*	`conf`	Mining large-scale, sparse GPS traces for map inference: comparison of approaches. KDD Xuemei Liu, James Biagioni, Jakob Eriksson, Yin Wang, George Forman, Yanmin Zhu
2010	A*	`conf`	A novel traffic analysis for identifying search fields in the long tail of web sites. WWW George Forman, Evan Kirshenbaum, Shyamsundar Rajaram
2010	J	`jnl`	Apples-to-apples in cross-validation studies: pitfalls in classifier performance measurement. SIGKDD Explor. George Forman, Martin Scholz
2009	J	`jnl`	Efficient detection of large-scale redundancy in enterprise file systems. ACM SIGOPS Oper. Syst. Rev. George Forman, Kave Eshghi, Jaap Suermondt
2009	A*	`conf`	Feature shaping for linear SVM classifiers. KDD George Forman, Martin Scholz, Shyamsundar Rajaram
2008	A	`conf`	BNS feature scaling: an improved representation over tf-idf for svm text classification. CIKM George Forman
2008	A	`conf`	Extremely fast text feature extraction for classification and indexing. CIKM George Forman, Evan Kirshenbaum
2008	J	`jnl`	Quantifying counts and costs via classification. Data Min. Knowl. Discov. George Forman
2008	A*	`conf`	Scaling up text classification for large file systems. KDD George Forman, Shyamsundar Rajaram
2007	—	`conf`	Cool Job Allocation: Measuring the Power Savings of Placing Jobs at Cooling-Efficient Locations in the Data Center. USENIX ATC Cullen E. Bash, George Forman
2006	A*	`conf`	Pragmatic text mining: minimizing human effort to quantify many issues in call logs. KDD George Forman, Evan Kirshenbaum, Jaap Suermondt
2006	A*	`conf`	Quantifying trends accurately despite classifier error and class imbalance. KDD George Forman
2006	A*	`conf`	Tackling concept drift by temporal inductive transfer. SIGIR George Forman
2005	—	`conf`	Beware the Null Hypothesis: Critical Value Tables for Evaluating Classifiers. ECML George Forman, Ira Cohen
2005	—	`conf`	Counting Positives Accurately Despite Inaccurate Classification. ECML George Forman
2005	J	`jnl`	Evolving Feature Selection. IEEE Intell. Syst. Huan Liu, Edward R. Dougherty, Jennifer G. Dy, Kari Torkkola, Eugene Tuv, Hanchuan Peng, Chris H. Q. Ding, Fuhui Long, Michael E. Berens, Lance Parsons, Zheng Zhao, Lei Yu, George Forman
2005	A*	`conf`	Finding similar files in large document repositories. KDD George Forman, Kave Eshghi, Stephane Chiocchetti
2004	A*	`conf`	A pitfall and solution in multi-class feature selection for text classification. ICML George Forman
2004	—	`conf`	Learning from Little: Comparison of Classifiers Given Little Training. PKDD George Forman, Ira Cohen
2003	J	`jnl`	An Extensive Empirical Study of Feature Selection Metrics for Text Classification. J. Mach. Learn. Res. George Forman
2002	—	`conf`	Choose Your Words Carefully: An Empirical Study of Feature Selection Metrics for Text Classification. PKDD George Forman
2002	J	`jnl`	Feature Engineering for a Gene Regulation Prediction Task. SIGKDD Explor. George Forman
2002	—	`conf`	Incremental Machine Learning to Reduce Biochemistry Lab Costs in the Search for Drug Discovery. BIOKDD George Forman
2000	—	`conf`	Accurate Recasting of Parameter Estimation Algorithms Using Sufficient Statistics for Efficient Parallel Speed-Up: Demonstrated for Center-Based Data Clustering Algorithms. PKDD Bin Zhang, Meichun Hsu, George Forman
2000	J	`jnl`	Distributed Data Clustering Can Be Efficient and Exact. SIGKDD Explor. George Forman, Bin Zhang
1994	J	`jnl`	The Challenges of Mobile Computing. Computer George Forman, John Zahorjan
1993	—	`conf`	The Ariadne Debugger: Scalable Application of Event-Based Abstraction. Workshop on Parallel and Distributed Debugging Janice E. Cuny, George Forman, Alfred Hough, Joydip Kundu, Calvin Lin, Lawrence Snyder, David W. Stemple