The Ariadne Debugger: Scalable Application of Event-Based Abstraction. - Janice E. Cuny; George Forman; Alfred Hough; Joydip Kundu; Calvin Lin; Lawrence Snyder 001; David W. Stemple (Workshop on Parallel and Distributed Debugging, 1993)

The Challenges of Mobile Computing. - George Forman; John Zahorjan (Computer, 1994)

Spambase. - Mark Hopkins; Erik Reeber; George Forman; Jaap Suermondt (UCI Machine Learning Repository, 1999)

Accurate Recasting of Parameter Estimation Algorithms Using Sufficient Statistics for Efficient Parallel Speed-Up: Demonstrated for Center-Based Data Clustering Algorithms. - Bin Zhang 004; Meichun Hsu; George Forman (PKDD, 2000)

Distributed Data Clustering Can Be Efficient and Exact. - George Forman; Bin Zhang 004 (SIGKDD Explor., 2000)

Incremental Machine Learning to Reduce Biochemistry Lab Costs in the Search for Drug Discovery. - George Forman (BIOKDD, 2002)

Choose Your Words Carefully: An Empirical Study of Feature Selection Metrics for Text Classification. - George Forman (PKDD, 2002)

Feature Engineering for a Gene Regulation Prediction Task. - George Forman (SIGKDD Explor., 2002)

An Extensive Empirical Study of Feature Selection Metrics for Text Classification. - George Forman (J. Mach. Learn. Res., 2003)

A pitfall and solution in multi-class feature selection for text classification. - George Forman (ICML, 2004)

Learning from Little: Comparison of Classifiers Given Little Training. - George Forman; Ira Cohen (PKDD, 2004)

Counting Positives Accurately Despite Inaccurate Classification. - George Forman (ECML, 2005)

Beware the Null Hypothesis: Critical Value Tables for Evaluating Classifiers. - George Forman; Ira Cohen (ECML, 2005)

Finding similar files in large document repositories. - George Forman; Kave Eshghi; Stephane Chiocchetti (KDD, 2005)

Evolving Feature Selection. - Huan Liu 001; 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 002; Lei Yu 001; et al. (IEEE Intell. Syst., 2005)

Quantifying trends accurately despite classifier error and class imbalance. - George Forman (KDD, 2006)

Pragmatic text mining: minimizing human effort to quantify many issues in call logs. - George Forman; Evan Kirshenbaum; Jaap Suermondt (KDD, 2006)

Tackling concept drift by temporal inductive transfer. - George Forman (SIGIR, 2006)

Cool Job Allocation: Measuring the Power Savings of Placing Jobs at Cooling-Efficient Locations in the Data Center. - Cullen E. Bash; George Forman (USENIX ATC, 2007)

BNS feature scaling: an improved representation over tf-idf for svm text classification. - George Forman (CIKM, 2008)

Extremely fast text feature extraction for classification and indexing. - George Forman; Evan Kirshenbaum (CIKM, 2008)

Scaling up text classification for large file systems. - George Forman; Shyamsundar Rajaram (KDD, 2008)

Quantifying counts and costs via classification. - George Forman (Data Min. Knowl. Discov., 2008)

Feature shaping for linear SVM classifiers. - George Forman; Martin Scholz; Shyamsundar Rajaram (KDD, 2009)

Efficient detection of large-scale redundancy in enterprise file systems. - George Forman; Kave Eshghi; Jaap Suermondt (ACM SIGOPS Oper. Syst. Rev., 2009)

A novel traffic analysis for identifying search fields in the long tail of web sites. - George Forman; Evan Kirshenbaum; Shyamsundar Rajaram (WWW, 2010)

Apples-to-apples in cross-validation studies: pitfalls in classifier performance measurement. - George Forman; Martin Scholz (SIGKDD Explor., 2010)

Fast Viterbi map matching with tunable weight functions. - Hong Wei; Yin Wang 001; George Forman; Yanmin Zhu 006; Haibing Guan (SIGSPATIAL/GIS, 2012)

Mining large-scale, sparse GPS traces for map inference: comparison of approaches. - Xuemei Liu; James Biagioni; Jakob Eriksson; Yin Wang 001; George Forman; Yanmin Zhu 006 (KDD, 2012)

A Live Comparison of Methods for Personalized Article Recommendation at Forbes.com. - Evan Kirshenbaum; George Forman; Michael Dugan (ECML/PKDD (2), 2012)

Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable. - George Forman (SDM, 2012)

Mining large-scale gps streams for connectivity refinement of road maps. - Yin Wang 001; Hong Wei; George Forman (SIGSPATIAL/GIS, 2013)

Map matching: comparison of approaches using sparse and noisy data. - Hong Wei; Yin Wang 001; George Forman; Yanmin Zhu 006 (SIGSPATIAL/GIS, 2013)

CrowdAtlas: self-updating maps for cloud and personal use. - Yin Wang 001; Xuemei Liu; Hong Wei; George Forman; Chao Chen; Yanmin Zhu 006 (MobiSys, 2013)

CrowdAtlas: self-updating maps for cloud and personal use. - Yin Wang 001; Xuemei Liu; Hong Wei; George Forman; Yanmin Zhu 006 (MobiSys, 2013)

Clustering by Intent: A Semi-Supervised Method to Discover Relevant Clusters Incrementally. - George Forman; Hila Nachlieli; Renato Keshet (ECML/PKDD (3), 2015)

Mining Large-Scale GPS Streams for Connectivity Refinement of Road Maps. - Yanmin Zhu 006; Yin Wang 001; George Forman; Hong Wei (Comput. J., 2015)

What's Mine is Yours, What's Yours is Mine: Simplifying Significance Testing With Big Data. - Karan Matnani; Valerie Liptak; George Forman (EDBT/ICDT Workshops, 2021)

Getting Your Package to the Right Place: Supervised Machine Learning for Geolocation. - George Forman (ECML/PKDD (4), 2021)