| 2000 | ICML | Local Expert Autoassociators for Anomaly Detection. | Geoffrey G. Towell |
| 2000 | ICML | Learning Priorities From Noisy Examples. | Geoffrey G. Towell, Thomas Petsche, Michael R. Miller |
| 1995 | ICML | Learning Collection Fusion Strategies for Information Retrieval. | Geoffrey G. Towell, Ellen M. Voorhees, Narendra Kumar Gupta, Ben Johnson-Laird |
| 1993 | NAACL | Corpus-Based Statistical Sense Resolution. | Claudia Leacock, Geoffrey G. Towell, Ellen M. Voorhees |
| 1992 | AAAI | Using Symbolic Learning to Improve Knowledge-Based Neural Networks. | Geoffrey G. Towell, Jude W. Shavlik |
| 1991 | ICML | Constructive Induction in Knowledge-Based Neural Networks. | Geoffrey G. Towell, Mark W. Craven, Jude W. Shavlik |
| 1990 | AAAI | Refinement ofApproximate Domain Theories by Knowledge-Based Neural Networks. | Geoffrey G. Towell, Jude W. Shavlik, Michiel O. Noordewier |
| 1989 | ICML | Processing Issues in Comparisons of Symbolic and Connectionist Learning Systems. | Douglas H. Fisher, Kathleen B. McKusick, Raymond J. Mooney, Jude W. Shavlik, Geoffrey G. Towell |
| 1989 | ICML | Combining Explanation-Based Learning and Artificial Neural Networks. | Jude W. Shavlik, Geoffrey G. Towell |
| 1989 | IJCAI | An Experimental Comparison of Symbolic and Connectionist Learning Algorithms. | Raymond J. Mooney, Jude W. Shavlik, Geoffrey G. Towell, Alan Gove |