| 2017 | ICTAI | A Novel Approach Based on Relevance Learning Vector Quantization Applied to the Inference of High-Order SNPs Interactions. | Flavia Roberta Barbosa de Araujo, Katia S. Guimares |
| 2014 | IJCNN | Insights on prediction of patients' response to anti-HIV therapies through machine learning. | Rogrio S. Rosa, Rafael H. S. Santos, Adamo Y. Brito, Katia S. Guimares |
| 2012 | IJCNN | Accurate prediction of error in Haplotype Inference methods through neural networks. | Rogrio S. Rosa, Rafael H. S. Santos, Katia S. Guimares |
| 2009 | BIBE | Logistic Biclustering Models for Protein Network Inference. | Carla Claudia da Rocha Rego Monteiro, Katia S. Guimares |
| 2008 | ECCB | Efficient representation and | Paulo G. S. da Fonseca, Katia S. Guimares, Marie-France Sagot |
| 2005 | IJCNN | A simpler Bayesian network model for genetic regulatory network inference. | Gustavo Bastos, Katia S. Guimares |
| 2005 | RECOMB | Decomposition of Overlapping Protein Complexes: A Graph Theoretical Method for Analyzing Static and Dynamic Protein Associations. | Elena Zotenko, Katia S. Guimares, Raja Jothi, Teresa M. Przytycka |
| 2003 | BIBE | Combining Few Neural Networks for Effective Secondary Structure Prediction. | Katia S. Guimares, Jeane C. B. Melo, George D. C. Cavalcanti |
| 2003 | IJCNN | PCA feature extraction for protein structure prediction. | Jeane C. B. Melo, George D. C. Cavalcanti, Katia S. Guimares |
| 1998 | CPM | Reporting Exact and Approximate Regular Expression Matches. | Eugene W. Myers, Paulo Oliva, Katia S. Guimares |
| 1995 | LATIN | Unbounded Search and Recursive Graph Problems. | William I. Gasarch, Katia S. Guimares |
| 1992 | LATIN | On the Number Components of a Recursive Graph. | William I. Gasarch, Katia S. Guimares |