| 2022 | ISDA | Analyzing Electoral Data Using Partitional and Hierarchical Clustering Algorithms. | Paulo Rogerio Nietto, Maria do Carmo Nicoletti, Nilton Cesar Sacco |
| 2019 | HIS | Reducing Data Volume in Instance Based Learning. | Maria do Carmo Nicoletti, Luis Andre Claudiano |
| 2018 | HIS | Extending Flow Graphs for Handling Continuous-Valued Attributes. | Emilio Carlos Rodrigues, Maria do Carmo Nicoletti |
| 2018 | ISDA | Favoring the k-Means Algorithm with Initialization Methods. | Anderson Francisco de Oliveira, Maria do Carmo Nicoletti |
| 2016 | CEC | A genetic algorithm for improving the induction of attribute-based decision graph classifiers. | Joo Roberto Bertini Jr., Maria do Carmo Nicoletti |
| 2016 | IJCNN | Functionally expanded streaming data as input to classification processes using ensembles of constructive neural networks. | Joo Roberto Bertini Jr., Maria do Carmo Nicoletti |
| 2016 | ISDA | Three Case Studies Using Agglomerative Clustering. | Rodrigo C. Camargos, Maria do Carmo Nicoletti |
| 2016 | ISDA | Agglomerative and Divisive Approaches to Unsupervised Learning in Gestalt Clusters. | Rodrigo C. Camargos, Paulo Rogerio Nietto, Maria do Carmo Nicoletti |
| 2016 | ISDA | Estimating the Number of Clusters as a Pre-processing Step to Unsupervised Learning. | Paulo Rogerio Nietto, Maria do Carmo Nicoletti |
| 2015 | HIS | Extracting Association Rules from a Retail Database: Two Case Studies. | R. S. Joo, Maria do Carmo Nicoletti, A. M. Monteiro, Marcela X. Ribeiro |
| 2015 | IJCNN | Refining constructive neural networks using functionally expanded input data. | Joo Roberto Bertini Jr., Maria do Carmo Nicoletti |
| 2014 | IJCNN | Imputation of missing data supported by Complete p-Partite attribute-based Decision Graphs. | Joo Roberto Bertini Jr., Maria do Carmo Nicoletti, Liang Zhao |
| 2013 | CEC | Ensemble of complete P-partite graph classifiers for non-stationary environments. | Joo R. Bertini, Maria do Carmo Nicoletti, Liang Zhao |
| 2013 | CEC | Attribute-based Decision Graphs for multiclass data classification. | Joo Roberto Bertini Jr., Maria do Carmo Nicoletti, Liang Zhao |
| 2013 | ISDA | The impact of refinement strategies on sequential clustering algorithms. | Maria do Carmo Nicoletti, Eduardo Machado Real, Osvaldo Luiz De Oliveira |
| 2011 | IDEAL | Interpreting Hidden Neurons in Boolean Constructive Neural Networks. | Maria do Carmo Nicoletti, Joo Roberto Bertini Jr., Osvaldo Luiz De Oliveira |
| 2008 | CEC | An effective mutation-based measure for evaluating the suitability of parental sequences to undergo DNA shuffling experiments. | Luciana Montera, Maria do Carmo Nicoletti, Flavio Henrique da Silva, Pablo Moscato |
| 2008 | ICANN | MBabCoNN - A Multiclass Version of a Constructive Neural Network Algorithm Based on Linear Separability and Convex Hull. | Joo Roberto Bertini Jr., Maria do Carmo Nicoletti |
| 2007 | CEC | Conditional independence based learning of bayesian classifiers guided by a variable ordering genetic search. | Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti |
| 2007 | HIS | Markov-Blanket Based Strategy for Translating a Bayesian Classifier into a Reduced Set of Classification Rules. | Estevam R. Hruschka Jr., Maria do Carmo Nicoletti, Vilma A. de Oliveira, Glucia M. Bressan |
| 2007 | ISDA | Fuzzy Rule Base Generation through Genetic Algorithms and Bayesian Classifiers A Comparative Approach. | Marcos Evandro Cintra, Heloisa de Arruda Camargo, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti |
| 2007 | ISDA | C-Focus-3: a C-Focus with a New Heuristic Search Strategy. | Daniel Monegatto Santoro, Maria do Carmo Nicoletti, Estevam R. Hruschka Jr. |
| 2006 | CEC | Computer Assisted Parental Sequences Analysis as a Previous Step to DNA Shuffling Process. | Luciana Montera, Maria do Carmo Nicoletti, Flavio Henrique da Silva |
| 2006 | HIS | Two Variants of the Constructive Neural Network Tiling Algorithm. | Joo Roberto Bertini Jr., Maria do Carmo Nicoletti, Estevam R. Hruschka Jr., Arthur Ramer |
| 2006 | SMC | A Comparative Evaluation of Constructive Neural Networks Methods using PRM and BCP as TLU Training Algorithms. | Joo Roberto Bertini Jr., Maria do Carmo Nicoletti, Estevam R. Hruschka Jr. |
| 2005 | HIS | Initializing an Exemplar Based Learning Process from a RuleNet Network. | Maria do Carmo Nicoletti, Lucas Baggio Figueira, Estevam R. Hruschka Jr. |
| 2005 | HIS | A Collaborative Approach to Knowledge Extraction from Rough Relational Databases. | Joao Marcos Vieira, Maria do Carmo Nicoletti, Marina Teresa Pires Vieira |
| 2005 | SMC | Selecting feature subsets for inducing classifiers using a committee of heterogeneous methods. | Daniel Monegatto Santoro, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti |
| 2004 | HIS | Improving a Pittsburgh Leant Fuzzy Rule Base using Feature Subset Selection. | Pablo Alberto Dalbem de Castro, Daniel Monegatto Santoro, Heloisa de Arruda Camargo, Maria do Carmo Nicoletti |
| 2004 | SMC | Evaluating the effects of distance metrics on a NGE-based system. | Lucas Baggio Figueira, Maria do Carmo Nicoletti |
| 2003 | ICMLA | Using a Family of Perceptron-Based Neural Networks for Detecting Central Vestibular System Problems. | Luiz Garcia Palma Neto, Lucas Baggio Figueira, Maria do Carmo Nicoletti |
| 2002 | HIS | Using Genetic Algorithms for Minimizing the Production Costs of Hollow Core Slabs. | Vanessa Cristina de Castilho, Maria do Carmo Nicoletti, Mounir Khalil El Debs |
| 2001 | HIS | A Family of Algorithms for Implementing the Main Concepts of the Rough Set Theory. | Maria do Carmo Nicoletti, Joaquim Quinteiro Ucha |
| 2000 | FlAIRS | Learning to Transfer Knowledge between Reference Systems. | Maria do Carmo Nicoletti, Jane Brennan |
| 1998 | DIS | A Constructive Fuzzy NGE Learning System. | Maria do Carmo Nicoletti, Flavia Oliveira Santos |