| 2012 | AAAI | Combining Hashing and Abstraction in Sparse High Dimensional Feature Spaces. | Cornelia Caragea, Adrian Silvescu, Prasenjit Mitra |
| 2010 | ICDM | Abstraction Augmented Markov Models. | Cornelia Caragea, Adrian Silvescu, Doina Caragea, Vasant G. Honavar |
| 2009 | ICDM | Combining Super-Structuring and Abstraction on Sequence Classification. | Adrian Silvescu, Cornelia Caragea, Vasant G. Honavar |
| 2006 | ISAIM | Independence, Decomposability and Functions which Take Values into an Abelian Group. | Adrian Silvescu, Vasant G. Honavar |
| 2006 | PAKDD | RNBL-MN: A Recursive Naive Bayes Learner for Sequence Classification. | Dae-Ki Kang, Adrian Silvescu, Vasant G. Honavar |
| 2006 | PAKDD | TRIPPER: Rule Learning Using Taxonomies. | Flavian Vasile, Adrian Silvescu, Dae-Ki Kang, Vasant G. Honavar |
| 2005 | ICDM | Discriminatively Trained Markov Model for Sequence Classification. | Oksana Yakhnenko, Adrian Silvescu, Vasant G. Honavar |
| 2004 | ICDM | Generation of Attribute Value Taxonomies from Data for Data-Driven Construction of Accurate and Compact Classifiers. | Dae-Ki Kang, Adrian Silvescu, Jun Zhang, Vasant G. Honavar |
| 2003 | IJCAI | Statistics Gathering for Learning from Distributed, Heterogeneous and Autonomous Data Sources. | Doina Caragea, Jaime Reinoso, Adrian Silvescu, Vasant G. Honavar |
| 2003 | IRI | Information Extraction and Integration from Heterogeneous, Distributed, Autonomous Information Sources : A Federated Ontology-Driven Query-Centric Approach. | Jaime Reinoso, Adrian Silvescu, Doina Caragea, Jyotishman Pathak, Vasant G. Honavar |
| 2000 | AAAI | Incremental and Distributed Learning with Support Vector Machines. | Doina Caragea, Adrian Silvescu, Vasant G. Honavar |
| 1999 | IJCNN | Fourier neural networks. | Adrian Silvescu |