| 2016 | DSAA | Word Segmentation Algorithms with Lexical Resources for Hashtag Classification. | Credell Simeon, Howard J. Hamilton, Robert J. Hilderman |
| 2015 | DIS | Evaluating the Effectiveness of Hashtags as Predictors of the Sentiment of Tweets. | Credell Simeon, Robert J. Hilderman |
| 2012 | SGAI | Mining Interesting Correlated Contrast Sets. | Mondelle Simeon, Robert J. Hilderman, Howard J. Hamilton |
| 2011 | AI | COSINE: A Vertical Group Difference Approach to Contrast Set Mining. | Mondelle Simeon, Robert J. Hilderman |
| 2010 | IJCCI | Algorithms for Evolving No-Limit Texas Hold'em Poker Playing Agents. | Garrett Nicolai, Robert J. Hilderman |
| 2010 | IJCCI | Countering Evolutionary Forgetting in No-Limit Texas Hold'em Poker Agents. | Garrett Nicolai, Robert J. Hilderman |
| 2009 | AI | An Empirical Study of Category Skew on Feature Selection for Text Categorization. | Mondelle Simeon, Robert J. Hilderman |
| 2008 | AusDM | Categorical Proportional Difference: A Feature Selection Method for Text Categorization. | Mondelle Simeon, Robert J. Hilderman |
| 2007 | AI | Pattern Classification in No-Limit Poker: A Head-Start Evolutionary Approach. | Brien Beattie, Garrett Nicolai, David Gerhard, Robert J. Hilderman |
| 2007 | ICTAI | Exploratory Quantitative Contrast Set Mining: A Discretization Approach. | Mondelle Simeon, Robert J. Hilderman |
| 2006 | AusDM | A Characterization of Wordnet Features in Boolean Models For Text Classification. | Trevor N. Mansuy, Robert J. Hilderman |
| 2006 | FlAIRS | Evaluating WordNet Features in Text Classification Models. | Trevor N. Mansuy, Robert J. Hilderman |
| 2003 | IDEAL | Predicting Itemset Sales Profiles with Share Measures and Repeat-Buying Theory. | Robert J. Hilderman |
| 2002 | PAKDD | The Lorenz Dominance Order as a Measure of Interestingness in KDD. | Robert J. Hilderman |
| 2001 | PAKDD | Evaluation of Interestingness Measures for Ranking Discovered Knowledge. | Robert J. Hilderman, Howard J. Hamilton |
| 2000 | ICTAI | Principles for mining summaries using objective measures of interestingness. | Robert J. Hilderman, Howard J. Hamilton |
| 1999 | FlAIRS | Ranking the Interestingness of Summaries from Data Mining Systems. | Robert J. Hilderman, Howard J. Hamilton, Brock Barber |
| 1999 | PAKDD | Heuristic for Ranking the Interestigness of Discovered Knowledge. | Robert J. Hilderman, Howard J. Hamilton |
| 1998 | FlAIRS | A Technique for Generalizing Temporal Durations in Relational Databases. | Dee Jay Randall, Howard J. Hamilton, Robert J. Hilderman |
| 1998 | PAKDD | Mining Market Basket Data Using Share Measures and Characterized Itemsets. | Robert J. Hilderman, Colin L. Carter, Howard J. Hamilton, Nick Cercone |
| 1998 | TIME | Generalization for Calendar Attributes using Domain Generalization Graphs. | Dee Jay Randall, Howard J. Hamilton, Robert J. Hilderman |
| 1997 | ICTAI | Data Visualization in the DB-Discover System. | Robert J. Hilderman, Liangchun Li, Howard J. Hamilton |
| 1996 | ICTAI | Attribute-oriented Induction Using Domain Generalization Graphs. | Howard J. Hamilton, Robert J. Hilderman, Nick Cercone |
| 1995 | SRDS | Performance Analysis of a Regeneration-Based Dynamic Voting Algorithm. | Robert J. Hilderman, Howard J. Hamilton |