| 2022 | ICAART | Efficient Removal of Weak Associations in Consensus Clustering. | N. C. Ruckiya Sinorina, Howard J. Hamilton, Sandra Zilles |
| 2022 | VR | Splitting Large Convolutional Neural Network Layers to Run Real-Time Applications on Mixed-Reality Hardware: Extended Abstract. | Anthony Beug, Howard J. Hamilton |
| 2021 | AI | Transfer Learning and Language Model Adaption for Low Resource Speech Recognition. | Tasha Baller, Kaelen Bennett, Howard J. Hamilton |
| 2020 | AI | Similarity Matching of Temporal Event-Interval Sequences. | S. Mohammad Mirbagheri, Howard J. Hamilton |
| 2020 | DaWaK | High-Utility Interval-Based Sequences. | S. Mohammad Mirbagheri, Howard J. Hamilton |
| 2020 | DaWaK | FIBS: A Generic Framework for Classifying Interval-Based Temporal Sequences. | S. Mohammad Mirbagheri, Howard J. Hamilton |
| 2019 | AI | Automatic Generation of Video Game Character Images Using Augmented Structure-and-Style Networks. | Matthew T. Mann, Howard J. Hamilton |
| 2017 | AI | A Knowledge Acquisition System for Price Change Rules. | Moslema Jahan, Howard J. Hamilton |
| 2017 | AI | Time Prediction of the Next Refueling Event: A Case Study. | S. Mohammad Mirbagheri, Howard J. Hamilton |
| 2017 | DIS | Real-Time Validation of Retail Gasoline Prices. | Mondelle Simeon, Howard J. Hamilton |
| 2017 | IJCAI | Lossy Compression of Pattern Databases Using Acyclic Random Hypergraphs. | Mehdi Sadeqi, Howard J. Hamilton |
| 2016 | AI | Simulating the Bubble Net Hunting Behaviour of Humpback Whales: The BNH-Whale Algorithm. | Stacey Hala, Howard J. Hamilton, Paolo Domenici |
| 2016 | DSAA | Word Segmentation Algorithms with Lexical Resources for Hashtag Classification. | Credell Simeon, Howard J. Hamilton, Robert J. Hilderman |
| 2015 | AI | Real-Time Sentiment-Based Anomaly Detection in Twitter Data Streams. | Khantil Patel, Orland Hoeber, Howard J. Hamilton |
| 2015 | DIS | Discovery of Parameters for Animation of Midge Swarms. | Judith Bjorndahl, Ashley Herman, Richard Hamilton, Howard J. Hamilton, Mark Brigham |
| 2013 | IDA | Learning Models of Activities Involving Interacting Objects. | Cristina E. Manfredotti, Kim Steenstrup Pedersen, Howard J. Hamilton, Sandra Zilles |
| 2012 | SGAI | Mining Interesting Correlated Contrast Sets. | Mondelle Simeon, Robert J. Hilderman, Howard J. Hamilton |
| 2011 | AAAI | A Bayesian Concept Learning Approach to Crowdsourcing. | Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier |
| 2011 | IJCAI | A Bayesian Concept Learning Approach to Crowdsourcing. | Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier |
| 2011 | ICTAI | Simultaneous Tracking and Activity Recognition. | Cristina E. Manfredotti, David J. Fleet, Howard J. Hamilton, Sandra Zilles |
| 2009 | ESORICS | Visualizing Privacy Implications of Access Control Policies in Social Network Systems. | Mohd M. Anwar, Philip W. L. Fong, Xue-Dong Yang, Howard J. Hamilton |
| 2008 | AI | Using Dependence Diagrams to Summarize Decision Rule Sets. | Kamran Karimi, Howard J. Hamilton |
| 2007 | DaWaK | Expectation Propagation in GenSpace Graphs for Summarization. | Liqiang Geng, Howard J. Hamilton, Larry Korba |
| 2006 | ICDM | Searching for Pattern Rules. | Guichong Li, Howard J. Hamilton |
| 2006 | ICDM | The PDD Framework for Detecting Categories of Peculiar Data. | Mahesh Shrestha, Howard J. Hamilton, Yiyu Yao, Ken Konkel, Liqiang Geng |
| 2005 | AI | A Comparative Study of Two Density-Based Spatial Clustering Algorithms for Very Large Datasets. | Xin Wang, Howard J. Hamilton |
| 2005 | AI | Towards an Ontology-Based Spatial Clustering Framework. | Xin Wang, Howard J. Hamilton |
| 2005 | PAKDD | The TIMERS II Algorithm for the Discovery of Causality. | Howard J. Hamilton, Kamran Karimi |
| 2004 | AI | Finding Interesting Summaries in GenSpace Graphs Efficiently. | Liqiang Geng, Howard J. Hamilton |
| 2004 | FlAIRS | Clustering Spatial Data in the Presence of Obstacles. | Xin Wang, Howard J. Hamilton |
| 2004 | SDM | Basic Association Rules. | Guichong Li, Howard J. Hamilton |
| 2004 | SDM | A Foundational Approach to Mining Itemset Utilities from Databases. | Hong Yao, Howard J. Hamilton, Cory J. Butz |
| 2003 | AI | Methods for Mining Frequent Sequential Patterns. | Linhui Jiang, Howard J. Hamilton |
| 2003 | AI | Discovering Temporal/Causal Rules: A Comparison of Methods. | Kamran Karimi, Howard J. Hamilton |
| 2003 | PAKDD | Distinguishing Causal and Acausal Temporal Relations. | Kamran Karimi, Howard J. Hamilton |
| 2003 | PAKDD | DBRS: A Density-Based Spatial Clustering Method with Random Sampling. | Xin Wang, Howard J. Hamilton |
| 2003 | TIME | Spatio-Temporal Data Mining with Expected Distribution Domain Generalization Graphs. | Howard J. Hamilton, Liqiang Geng, Leah Findlater, Dee Jay Randall |
| 2002 | AI | RFCT: An Association-Based Causality Miner. | Kamran Karimi, Howard J. Hamilton |
| 2002 | FlAIRS | Looking Backward, Forward, and All Around: Temporal, Spatial, and Spatio-Temporal Data Mining. | Howard J. Hamilton, Leah Findlater |
| 2002 | ICDM | ESRS: A Case Selection Algorithm Using Extended Similarity-based Rough Sets. | Liqiang Geng, Howard J. Hamilton |
| 2002 | ICDM | FD_Mine: Discovering Functional Dependencies in a Database Using Equivalences. | Hong Yao, Howard J. Hamilton, Cory J. Butz |
| 2002 | ICTAI | TimeSleuth: A Tool for Discovering Causal and Temporal Rules. | Kamran Karimi, Howard J. Hamilton |
| 2002 | IDEAL | Discovering Temporal Rules from Temporally Ordered Data. | Kamran Karimi, Howard J. Hamilton |
| 2002 | SEKE | Design of knowledge-based systems with the ontology-domain-system approach. | Xin Wang, Christine W. Chan, Howard J. Hamilton |
| 2001 | FlAIRS | An Empirical Comparison of Methods for Iceberg-CUBE Construction. | Leah Findlater, Howard J. Hamilton |
| 2001 | FlAIRS | WebAdaptor: Designing Adaptive Web Sites Using Data Mining Techniques. | Howard J. Hamilton, Xuewei Wang, Y. Y. Yao |
| 2001 | PAKDD | Evaluation of Interestingness Measures for Ranking Discovered Knowledge. | Robert J. Hilderman, Howard J. Hamilton |
| 2000 | AI | Learning Pseudo-independent Models: Analytical and Experimental Results. | Yang Xiang, Xiaohua Hu, Nick Cercone, Howard J. Hamilton |
| 2000 | ICTAI | Principles for mining summaries using objective measures of interestingness. | Robert J. Hilderman, Howard J. Hamilton |
| 2000 | ICTAI | Support based measures applied to ice hockey scoring summaries. | Bradley P. Kram, James A. Hall, Howard J. Hamilton |
| 2000 | IDEAL | Logical Decision Rules: Teaching C4.5 to Speak Prolog. | Kamran Karimi, Howard J. Hamilton |
| 2000 | ISMIS | Parametric Algorithms for Mining Share-Frequent Itemsets. | Brock Barber, Howard J. Hamilton |
| 2000 | ISMIS | Finding Temporal Relations: Causal Bayesian Networks vs. C4.5. | Kamran Karimi, Howard J. Hamilton |
| 1999 | FlAIRS | Ranking the Interestingness of Summaries from Data Mining Systems. | Robert J. Hilderman, Howard J. Hamilton, Brock Barber |
| 1999 | ISMIS | Learning English Grapheme Segmentation Using the Iterated Version Space Algorithm. | Jianna Jian Zhang, Howard J. Hamilton, Nick Cercone |
| 1999 | PAKDD | Heuristic for Ranking the Interestigness of Discovered Knowledge. | Robert J. Hilderman, Howard J. Hamilton |
| 1998 | AI | Learning English Syllabification Rules. | Jian Zhang, Howard J. Hamilton |
| 1998 | FlAIRS | Determining the Incremental Worth of Members of an Aggregate Set through Difference-Based Induction. | Avelino J. Gonzalez, Sylvia Daroszewski, 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 |
| 1997 | ISMIS | A Comparison of Attribute Selection Strategies for Attribute-Oriented Generalization. | Brock Barber, Howard J. Hamilton |
| 1997 | ISMIS | Learning English Syllabification for Words. | Jian Zhang, Howard J. Hamilton |
| 1996 | AI | Attribute Selection Strategies fro Attribute-Oriented Generalization. | Brock Barber, Howard J. Hamilton |
| 1996 | ICTAI | Attribute-oriented Induction Using Domain Generalization Graphs. | Howard J. Hamilton, Robert J. Hilderman, Nick Cercone |
| 1996 | ISMIS | Induction of Classification Rules from Imperfect Data. | Ning Shan, Howard J. Hamilton, Nick Cercone |
| 1996 | KDD | Discovering Classification Knowledge in Databases Using Rough Sets. | Ning Shan, Wojciech Ziarko, Howard J. Hamilton, Nick Cercone |
| 1995 | ICTAI | Performance evaluation of attribute-oriented algorithms for knowledge discovery from databases. | Colin L. Carter, Howard J. Hamilton |
| 1995 | ICTAI | GRG: knowledge discovery using information generalization, information reduction, and rule generation. | Ning Shan, Howard J. Hamilton, Nick Cercone |
| 1995 | KDD | Using Rough Sets as Tools for Knowledge Discovery. | Ning Shan, Wojciech Ziarko, Howard J. Hamilton, Nick Cercone |
| 1995 | SRDS | Performance Analysis of a Regeneration-Based Dynamic Voting Algorithm. | Robert J. Hilderman, Howard J. Hamilton |
| 1994 | TIME | Belief Revision in a Discrete Temporal Probability-Logic. | Scott D. Goodwin, Howard J. Hamilton, Eric Neufeld, Abdul Sattar, Andr Trudel |
| 1992 | ICCI | Using the IIPS Framework to Specify Machine-Discovery Problems. | Howard J. Hamilton, J. Michael Dyck |