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ORCIDEduardo R. Hruschka
Eduardo Raul Hruschka
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2020 – today
- 2021
[c52]Thomaz Calasans, Anna Helena Reali Costa
, Eduardo Raul Hruschka:
Contextualised Word Embeddings Based on Transfer Learning to Dialogue Response Generation: a Proposal and Comparisons. ISEEIE 2021: 397-401
2010 – 2019
- 2019
- [j41]Felipe S. L. G. Duarte, Ricardo Araújo Rios, Eduardo R. Hruschka, Rodrigo Fernandes de Mello:
Decomposing time series into deterministic and stochastic influences: A survey. Digit. Signal Process. 95 (2019) - [j40]Luiz F. S. Coletta, Moacir Ponti, Eduardo R. Hruschka, Ayan Acharya, Joydeep Ghosh:
Combining clustering and active learning for the detection and learning of new image classes. Neurocomputing 358: 150-165 (2019) - 2018
- [c51]Felipe Simoes Lage Gomes Duarte, Ricardo Araújo Rios, Eduardo Raul Hruschka, Rodrigo Fernandes de Mello:
Time Series Decomposition Using Spring System Applied on Phase Spaces. BRACIS 2018: 504-509 - [c50]Thiago F. Covoes, Eduardo R. Hruschka:
Classification with Multi-Modal Classes Using Evolutionary Algorithms and Constrained Clustering. CEC 2018: 1-8 - [c49]Roberto Souza, Saul C. Leite, Wagner Meira Jr., Eduardo R. Hruschka:
Online Orthogonal Regression Based on a Regularized Squared Loss. ICMLA 2018: 925-930 - 2017
- [j39]Jonathan de Andrade Silva, Eduardo Raul Hruschka, João Gama:
An evolutionary algorithm for clustering data streams with a variable number of clusters. Expert Syst. Appl. 67: 228-238 (2017) - 2016
- [j38]Nádia Félix Felipe da Silva, Luiz F. S. Coletta, Eduardo R. Hruschka:
A Survey and Comparative Study of Tweet Sentiment Analysis via Semi-Supervised Learning. ACM Comput. Surv. 49(1): 15:1-15:26 (2016) - [j37]Thiago F. Covoes, Eduardo Raul Hruschka, Joydeep Ghosh:
Evolving Gaussian Mixture Models with Splitting and Merging Mutation Operators. Evol. Comput. 24(2): 293-317 (2016) - [j36]Jorge Y. Kanda, André C. P. L. F. de Carvalho, Eduardo R. Hruschka, Carlos Soares, Pavel Brazdil:
Meta-learning to select the best meta-heuristic for the Traveling Salesman Problem: A comparison of meta-features. Neurocomputing 205: 393-406 (2016) - [j35]Nádia Félix Felipe da Silva, Luiz F. S. Coletta, Eduardo R. Hruschka, Estevam R. Hruschka Jr.:
Using unsupervised information to improve semi-supervised tweet sentiment classification. Inf. Sci. 355-356: 348-365 (2016) - [j34]Jonathan de Andrade Silva, Eduardo Raul Hruschka:
A Support System for Clustering Data Streams with a Variable Number of Clusters. ACM Trans. Auton. Adapt. Syst. 11(2): 11:1-11:26 (2016) - 2015
- [j33]Luiz F. S. Coletta, Eduardo R. Hruschka, Ayan Acharya, Joydeep Ghosh:
Using metaheuristics to optimize the combination of classifier and cluster ensembles. Integr. Comput. Aided Eng. 22(3): 229-242 (2015) - [j32]Luiz F. S. Coletta, Eduardo Raul Hruschka, Ayan Acharya, Joydeep Ghosh:
A differential evolution algorithm to optimise the combination of classifier and cluster ensembles. Int. J. Bio Inspired Comput. 7(2): 111-124 (2015) - [j31]André Luiz Vizine Pereira, Eduardo Raul Hruschka:
Simultaneous co-clustering and learning to address the cold start problem in recommender systems. Knowl. Based Syst. 82: 11-19 (2015) - [j30]Geraldo N. Correa, Ricardo M. Marcacini, Eduardo R. Hruschka, Solange Oliveira Rezende:
Interactive textual feature selection for consensus clustering. Pattern Recognit. Lett. 52: 25-31 (2015) - 2014
- [j29]Nádia Félix F. da Silva, Eduardo R. Hruschka, Estevam R. Hruschka Jr.:
Tweet sentiment analysis with classifier ensembles. Decis. Support Syst. 66: 170-179 (2014) - [j28]Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Sreangsu Acharyya:
An Optimization Framework for Combining Ensembles of Classifiers and Clusterers with Applications to Nontransductive Semisupervised Learning and Transfer Learning. ACM Trans. Knowl. Discov. Data 9(1): 1:1-1:35 (2014) - [c48]Luiz Fernando Sommaggio Coletta, Nádia Félix F. da Silva, Eduardo R. Hruschka, Estevam R. Hruschka Jr.:
Combining Classification and Clustering for Tweet Sentiment Analysis. BRACIS 2014: 210-215 - [c47]Ricardo Marcondes Marcacini, Marcos Aurélio Domingues, Eduardo R. Hruschka, Solange Oliveira Rezende:
Privileged Information for Hierarchical Document Clustering: A Metric Learning Approach. ICPR 2014: 3636-3641 - [c46]Nádia Félix F. da Silva, Estevam R. Hruschka Jr., Eduardo R. Hruschka:
Biocom_Usp: Tweet Sentiment Analysis with Adaptive Boosting Ensemble. SemEval@COLING 2014: 123-128 - 2013
- [j27]Jonathan de Andrade Silva, Elaine R. Faria, Rodrigo C. Barros, Eduardo R. Hruschka, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama:
Data stream clustering: A survey. ACM Comput. Surv. 46(1): 13:1-13:31 (2013) - [j26]Jonathan de Andrade Silva, Eduardo R. Hruschka:
An experimental study on the use of nearest neighbor-based imputation algorithms for classification tasks. Data Knowl. Eng. 84: 47-58 (2013) - [j25]Thiago F. Covoes, Eduardo R. Hruschka, Joydeep Ghosh:
A study of K-Means-based algorithms for constrained clustering. Intell. Data Anal. 17(3): 485-505 (2013) - [j24]Thiago F. Covoes, Rodrigo C. Barros, Tiago Silva da Silva, Eduardo R. Hruschka, André Carlos Ponce de Leon Ferreira de Carvalho:
Hierarchical Bottom-Up Safe Semi-Supervised Support Vector Machines for Multi-Class Transductive Learning. J. Inf. Data Manag. 4(3): 357-373 (2013) - [j23]Luís Filipe da Cruz Nassif, Eduardo R. Hruschka:
Document Clustering for Forensic Analysis: An Approach for Improving Computer Inspection. IEEE Trans. Inf. Forensics Secur. 8(1): 46-54 (2013) - [j22]Thiago F. Covoes, Eduardo R. Hruschka, Joydeep Ghosh:
Competitive Learning With Pairwise Constraints. IEEE Trans. Neural Networks Learn. Syst. 24(1): 164-169 (2013) - [c45]Thiago F. Covoes, Eduardo R. Hruschka:
Unsupervised learning of Gaussian Mixture Models: Evolutionary Create and Eliminate for Expectation Maximization algorithm. IEEE Congress on Evolutionary Computation 2013: 3206-3213 - [c44]Ayan Acharya, Aditya Rawal, Raymond J. Mooney, Eduardo R. Hruschka:
Using Both Latent and Supervised Shared Topics for Multitask Learning. ECML/PKDD (2) 2013: 369-384 - [c43]Ayan Acharya, Joydeep Ghosh, Eduardo R. Hruschka, Jean-David Ruvini, Badrul Sarwar:
Probabilistic Combination of Classifier and Cluster Ensembles for Non-transductive Learning. SDM 2013: 288-296 - 2012
- [j21]Luiz F. S. Coletta, Lucas Vendramin, Eduardo R. Hruschka, Ricardo J. G. B. Campello, Witold Pedrycz:
Collaborative Fuzzy Clustering Algorithms: Some Refinements and Design Guidelines. IEEE Trans. Fuzzy Syst. 20(3): 444-462 (2012) - [c42]Jorge Y. Kanda, Carlos Soares, Eduardo R. Hruschka, André Carlos Ponce de Leon Ferreira de Carvalho:
A Meta-Learning Approach to Select Meta-Heuristics for the Traveling Salesman Problem Using MLP-Based Label Ranking. ICONIP (3) 2012: 488-495 - [c41]Ricardo M. Marcacini, Eduardo R. Hruschka, Solange O. Rezende:
On the Use of Consensus Clustering for Incremental Learning of Topic Hierarchies. SBIA 2012: 112-121 - [c40]Davidson M. Sestaro, Thiago F. Covoes, Eduardo R. Hruschka:
A Semi-supervised Approach to Estimate the Number of Clusters per Class. SBRN 2012: 73-78 - [c39]Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Sreangsu Acharyya:
Transfer Learning with Cluster Ensembles. ICML Unsupervised and Transfer Learning 2012: 123-132 - [i3]Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh:
A Privacy-Aware Bayesian Approach for Combining Classifier and Cluster Ensembles. CoRR abs/1204.4521 (2012) - [i2]Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Sreangsu Acharyya:
An Optimization Framework for Semi-Supervised and Transfer Learning using Multiple Classifiers and Clusterers. CoRR abs/1206.0994 (2012) - [i1]Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Badrul Sarwar, Jean-David Ruvini:
Probabilistic Combination of Classifier and Cluster Ensembles for Non-transductive Learning. CoRR abs/1211.2304 (2012) - 2011
- [j20]Murilo Coelho Naldi, Ricardo J. G. B. Campello, Eduardo R. Hruschka, André C. P. L. F. de Carvalho:
Efficiency issues of evolutionary k-means. Appl. Soft Comput. 11(2): 1938-1952 (2011) - [j19]Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken:
Bayesian network classifiers: Beyond classification accuracy. Intell. Data Anal. 15(3): 279-298 (2011) - [j18]Jorge Y. Kanda, André Carlos Ponce de Leon Ferreira de Carvalho, Eduardo R. Hruschka, Carlos Soares:
Selection of algorithms to solve traveling salesman problems using meta-learning. Int. J. Hybrid Intell. Syst. 8(3): 117-128 (2011) - [j17]Thiago F. Covoes, Eduardo R. Hruschka:
Towards improving cluster-based feature selection with a simplified silhouette filter. Inf. Sci. 181(18): 3766-3782 (2011) - [j16]Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken:
A Bayesian imputation method for a clustering genetic algorithm. J. Comput. Methods Sci. Eng. 11(4): 173-183 (2011) - [c38]Lucas Vendramin, Ricardo José Gabrielli Barreto Campello, Luiz F. S. Coletta, Eduardo R. Hruschka:
Distributed Fuzzy Clustering with Automatic Detection of the Number of Clusters. DCAI 2011: 133-140 - [c37]Jonathan de Andrade Silva, Eduardo R. Hruschka:
Extending k-Means-Based Algorithms for Evolving Data Streams with Variable Number of Clusters. ICMLA (2) 2011: 14-19 - [c36]Thiago F. Covoes, Eduardo R. Hruschka:
Splitting and Merging Gaussian Mixture Model Components: An Evolutionary Approach. ICMLA (1) 2011: 106-111 - [c35]Luís Filipe da Cruz Nassif, Eduardo R. Hruschka:
Document Clustering for Forensic Computing: An Approach for Improving Computer Inspection. ICMLA (1) 2011: 265-268 - [c34]Jorge Y. Kanda, André Carlos Ponce de Leon Ferreira de Carvalho, Eduardo R. Hruschka, Carlos Soares:
Using Meta-learning to Recommend Meta-heuristics for the Traveling Salesman Problem. ICMLA (1) 2011: 346-351 - [c33]Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Sreangsu Acharyya:
C 3E: A Framework for Combining Ensembles of Classifiers and Clusterers. MCS 2011: 269-278 - [c32]Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh:
A Privacy-Aware Bayesian Approach for Combining Classifier and Cluster Ensembles. SocialCom/PASSAT 2011: 1169-1172 - 2010
- [j15]Lucas Vendramin, Ricardo J. G. B. Campello, Eduardo R. Hruschka:
Relative clustering validity criteria: A comparative overview. Stat. Anal. Data Min. 3(4): 209-235 (2010) - [c31]Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken:
A Distance-Based Mutation Operator for learning Bayesian Network structures using Evolutionary Algorithms. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c30]Luiz F. S. Coletta, Eduardo R. Hruschka, Thiago F. Covoes, Ricardo J. G. B. Campello:
Fuzzy Clustering-Based Filter. IPMU (1) 2010: 406-415 - [c29]Pablo A. Jaskowiak, Ricardo J. G. B. Campello, Thiago F. Covoes, Eduardo R. Hruschka:
A Comparative Study on the Use of Correlation Coefficients for Redundant Feature Elimination. SBRN 2010: 13-18 - [c28]Jorge Y. Kanda, André Carlos Ponce de Leon Ferreira de Carvalho, Eduardo R. Hruschka, Carlos Soares:
Using Meta-learning to Classify Traveling Salesman Problems. SBRN 2010: 73-78
2000 – 2009
- 2009
- [j14]Ricardo J. G. B. Campello, Eduardo R. Hruschka, Vinicius S. Alves:
On the efficiency of evolutionary fuzzy clustering. J. Heuristics 15(1): 43-75 (2009) - [j13]Ricardo José Gabrielli Barreto Campello, Eduardo R. Hruschka:
On comparing two sequences of numbers and its applications to clustering analysis. Inf. Sci. 179(8): 1025-1039 (2009) - [j12]Eduardo R. Hruschka, Antonio J. T. Garcia, Estevam R. Hruschka Jr., Nelson F. F. Ebecken:
On the influence of imputation in classification: practical issues. J. Exp. Theor. Artif. Intell. 21(1): 43-58 (2009) - [j11]Eduardo R. Hruschka, Ricardo José Gabrielli Barreto Campello, Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho:
A Survey of Evolutionary Algorithms for Clustering. IEEE Trans. Syst. Man Cybern. Part C 39(2): 133-155 (2009) - [c27]Thiago F. Covoes, Eduardo R. Hruschka, Leandro Nunes de Castro, Átila M. Santos:
A Cluster-Based Feature Selection Approach. HAIS 2009: 169-176 - [c26]Jonathan de Andrade Silva, Eduardo R. Hruschka:
An Evolutionary Algorithm for Missing Values Substitution in Classification Tasks. HAIS 2009: 195-202 - [c25]Thiago F. Covoes, Eduardo R. Hruschka:
An Experimental Study on Unsupervised Clustering-Based Feature Selection Methods. ISDA 2009: 993-1000 - [c24]Jonathan de Andrade Silva, Eduardo R. Hruschka:
EACImpute: An Evolutionary Algorithm for Clustering-Based Imputation. ISDA 2009: 1400-1406 - [c23]Lucas Vendramin, Ricardo J. G. B. Campello, Eduardo R. Hruschka:
On the Comparison of Relative Clustering Validity Criteria. SDM 2009: 733-744 - [p2]Danilo Horta, Murilo Coelho Naldi, Ricardo José Gabrielli Barreto Campello, Eduardo R. Hruschka, André Carlos Ponce de Leon Ferreira de Carvalho:
Evolutionary Fuzzy Clustering: An Overview and Efficiency Issues. Foundations of Computational Intelligence (4) 2009: 167-195 - 2008
- [c22]Lucas Vendramin, Ricardo J. G. B. Campello, Eduardo R. Hruschka:
A Robust Methodology for Comparing Performances of Clustering Validity Criteria. SBIA 2008: 237-247 - [p1]Murilo Coelho Naldi, André Carlos Ponce de Leon Ferreira de Carvalho, Ricardo José Gabrielli Barreto Campello, Eduardo R. Hruschka:
Genetic Clustering for Data Mining. Soft Computing for Knowledge Discovery and Data Mining 2008: 113-132 - 2007
- [j10]Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken:
Bayesian networks for imputation in classification problems. J. Intell. Inf. Syst. 29(3): 231-252 (2007) - [j9]Hermes Senger, Eduardo R. Hruschka, Fabrício Alves Barbosa da Silva, Liria Matsumoto Sato, Calebe De Paula Bianchini, Bruno F. Jerosch:
Exploiting idle cycles to execute data mining applications on clusters of PCs. J. Syst. Softw. 80(5): 778-790 (2007) - [c21]Vinicius S. Alves, Ricardo J. G. B. Campello, Eduardo R. Hruschka:
A Fuzzy Variant of an Evolutionary Algorithm for Clustering. FUZZ-IEEE 2007: 1-6 - 2006
- [j8]Ricardo J. G. B. Campello, Eduardo R. Hruschka:
A fuzzy extension of the silhouette width criterion for cluster analysis. Fuzzy Sets Syst. 157(21): 2858-2875 (2006) - [j7]Eduardo R. Hruschka, Nelson F. F. Ebecken:
Extracting rules from multilayer perceptrons in classification problems: A clustering-based approach. Neurocomputing 70(1-3): 384-397 (2006) - [j6]Eduardo R. Hruschka, Ricardo J. G. B. Campello, Leandro Nunes de Castro:
Evolving clusters in gene-expression data. Inf. Sci. 176(13): 1898-1927 (2006) - [j5]Eduardo R. Hruschka, Estevam R. Hruschka Jr., Thiago F. Covoes, Nelson F. F. Ebecken:
Bayesian Feature Selection for Clustering Problems. J. Inf. Knowl. Manag. 5(4): 315-327 (2006) - [c20]Vinicius S. Alves, Ricardo J. G. B. Campello, Eduardo R. Hruschka:
Towards a Fast Evolutionary Algorithm for Clustering. IEEE Congress on Evolutionary Computation 2006: 1776-1783 - 2005
- [j4]André L. Vizine, Leandro Nunes de Castro, Eduardo R. Hruschka, Ricardo R. Gudwin:
Towards Improving Clustering Ants: An Adaptive Ant Clustering Algorithm. Informatica (Slovenia) 29(2): 143-154 (2005) - [c19]Eduardo R. Hruschka, Thiago F. Covoes:
Feature Selection for Cluster Analysis: an Approach Based on the Simplified Silhouette Criterion. CIMCA/IAWTIC 2005: 32-38 - [c18]Eduardo R. Hruschka, Thiago F. Covoes, Estevam R. Hruschka Jr., Nelson F. F. Ebecken:
Feature Selection for Clustering Problems: a Hybrid Algorithm that Iterates Between k-means and a Bayesian Filter. HIS 2005: 405-410 - [c17]Antonio J. T. Garcia, Eduardo R. Hruschka:
Naive Bayes as an Imputation Tool for Classification Problems. HIS 2005: 497-499 - [c16]Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken:
Missing Values Imputation for a Clustering Genetic Algorithm. ICNC (3) 2005: 245-254 - [c15]Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken:
Applying Bayesian Networks for Meteorological Data Mining. SGAI Conf. (Applications) 2005: 122-133 - 2004
- [c14]Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken:
Feature Selection by Bayesian Networks. Canadian AI 2004: 370-379 - [c13]Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken:
Towards Efficient Imputation by Nearest-Neighbors: A Clustering-Based Approach. Australian Conference on Artificial Intelligence 2004: 513-525 - [c12]Fabrício Alves Barbosa da Silva, Sílvia Carvalho, Eduardo R. Hruschka:
A Scheduling Algorithm for Running Bag-of-Tasks Data Mining Applications on the Grid. Euro-Par 2004: 254-262 - [c11]Eduardo R. Hruschka, Ricardo J. G. B. Campello, Leandro Nunes de Castro:
Evolutionary search for optimal fuzzy c-means clustering. FUZZ-IEEE 2004: 685-690 - [c10]Eduardo R. Hruschka, Ricardo J. G. B. Campello, Leandro Nunes de Castro:
Improving the Efficiency of a Clustering Genetic Algorithm. IBERAMIA 2004: 861-870 - [c9]Fabrício Alves Barbosa da Silva, Sílvia Carvalho, Hermes Senger, Eduardo R. Hruschka, Cléver Ricardo Guareis de Farias:
Running Data Mining Applications on the Grid: A Bag-of-Tasks Approach. ICCSA (2) 2004: 168-177 - [c8]Eduardo R. Hruschka, Leandro Nunes de Castro, Ricardo J. G. B. Campello:
Evolutionary Algorithms for Clustering Gene-Expression Data. ICDM 2004: 403-406 - [c7]Vahid Sherafat, Leandro Nunes de Castro, Eduardo R. Hruschka:
TermitAnt: An Ant Clustering Algorithm Improved by Ideas from Termite Colonies. ICONIP 2004: 1088-1093 - [c6]Hermes Senger, Eduardo R. Hruschka, Fabrício Alves Barbosa da Silva, Liria Matsumoto Sato, Calebe De Paula Bianchini, Marcelo D. Esperidiãao:
Inhambu: Data Mining Using Idle Cycles in Clusters of PCs. NPC 2004: 213-220 - 2003
- [j3]Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken:
A Feature Selection Bayesian Approach for Extracting Classification Rules with a Clustering Genetic Algorithm. Appl. Artif. Intell. 17(5-6): 489-506 (2003) - [j2]Eduardo R. Hruschka, Nelson F. F. Ebecken:
A genetic algorithm for cluster analysis. Intell. Data Anal. 7(1): 15-25 (2003) - [c5]Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken:
Evaluating a Nearest-Neighbor Method to Substitute Continuous Missing Values. Australian Conference on Artificial Intelligence 2003: 723-734 - [c4]Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken:
A Nearest-Neighbor Method as a Data Preparation Tool for a Clustering Genetic Algorithm. SBBD 2003: 319-327 - 2002
- [c3]Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken:
A Data Preparation Bayesian Approach for a Clustering Genetic Algorithm. HIS 2002: 453-461 - 2000
- [j1]Eduardo R. Hruschka, Nelson F. F. Ebecken:
A clustering algorithm for extracting rules from supervised neural network models in data mining tasks. Int. J. Comput. Syst. Signals 1(1): 17-29 (2000) - [c2]Eduardo R. Hruschka, Nelson F. F. Ebecken:
Applying a Clustering Genetic Algorithm for Extracting Rules from a Supervised Neural Network. IJCNN (3) 2000: 407-412
1990 – 1999
- 1999
- [c1]Eduardo R. Hruschka, Nelson Francisco Favilla Ebecken:
Rule extraction from neural networks: modified RX algorithm. IJCNN 1999: 2504-2508
Coauthor Index
Ricardo J. G. B. Campello
aka: Ricardo José Gabrielli Barreto Campello
aka: Ricardo José Gabrielli Barreto Campello
André C. P. L. F. de Carvalho
aka: André Carlos Ponce de Leon Ferreira de Carvalho
aka: André Carlos Ponce de Leon Ferreira de Carvalho
Luiz F. S. Coletta
aka: Luiz Fernando Sommaggio Coletta
aka: Luiz Fernando Sommaggio Coletta
Nelson F. F. Ebecken
aka: Nelson Francisco Favilla Ebecken
aka: Nelson Francisco Favilla Ebecken
Estevam Hruschka
aka: Estevam R. Hruschka Jr.
aka: Estevam R. Hruschka Jr.
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