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ORCIDRenata M. C. R. de Souza
Renata Maria Cardoso R. de Souza – Renata M. C. R. Souza – Renata Maria Cardoso Rodrigues De Souza – Renata Souza 0002
Person information
- affiliation: Universidade Federal de Pernambuco, Recife, Brazil
Other persons with the same name
- Renata Souza 0001
![[0000-0002-9609-2696]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-9609-2696")
(aka: Renata Maria de Souza) — Federal University of Bahia (UFBA), Salvador, BA, Brazil (and 1 more)
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2020 – today
- 2024
[j44]Wanessa W. L. Freitas, Renata M. C. R. de Souza, Getúlio J. A. Amaral, Ronei Marcos de Moraes:
Regression applied to symbolic interval-spatial data. Appl. Intell. 54(2): 1545-1565 (2024)- [j43]Wagner J. F. Silva, Telmo de Menezes e Silva Filho, Delmiro D. Sampaio Neto, Renata M. C. R. Souza, Adriano L. I. Oliveira, Francisco José de A. Cysneiros:
Sighted particles: improving swarm optimization by making particles aware of their surroundings. Evol. Intell. 17(2): 941-954 (2024) - [j42]Dailys Maite Aliaga Reyes, Leandro Carlos de Souza, Renata M. C. R. de Souza, Adriano L. I. de Oliveira:
Parametrized linear regression for boxplot-multivalued data applied to the Brazilian Electric Sector. Inf. Sci. 652: 119758 (2024) - 2023
- [j41]Gabriel B. Lima, Thiago de M. Chaves, Wanessa W. L. Freitas, Renata M. C. R. de Souza:
Statistical learning from Brazilian fake news. Expert Syst. J. Knowl. Eng. 40(3) (2023) - [j40]Flávia R. S. Brasileiro, Delmiro D. Sampaio Neto, Telmo de Menezes e Silva Filho, Renata M. C. R. de Souza, Marcus C. de Araújo:
Classifying breast lesions in Brazilian thermographic images using convolutional neural networks. Neural Comput. Appl. 35(26): 18989-18997 (2023) - [j39]Rafaella L. S. do Nascimento, Roberta A. de A. Fagundes, Renata M. C. R. de Souza, Francisco José de A. Cysneiros:
Interval regression model adequacy checking and its application to estimate school dropout in Brazilian municipality educational scenario. Pattern Anal. Appl. 26(1): 39-59 (2023) - [j38]Wagner J. F. Silva, Pedro J. C. Souza, Renata M. C. R. Souza, Francisco José de A. Cysneiros:
A Clustering Algorithm for Polygonal Data Applied to Scientific Journal Profiles. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13766-13777 (2023) - [c56]Rodrigo Berto, Hanna Bugler, Renata M. C. R. Souza, Ashley Harris:
An Investigation of Different Deep Learning Pipelines for GABA-Edited MRS Reconstruction. MLMI@MICCAI (1) 2023: 72-82 - 2022
- [j37]Wagner J. F. Silva, Renata M. C. R. Souza, Francisco José de A. Cysneiros:
Bivariate elliptical regression for modeling interval-valued data. Comput. Stat. 37(4): 2003-2028 (2022) - [j36]Dailys Maite Aliaga Reyes, Renata M. C. R. de Souza, Adriano L. I. de Oliveira:
A three-stage approach for modeling multiple time series applied to symbolic quartile data. Expert Syst. Appl. 187: 115884 (2022) - [j35]Wanessa W. L. Freitas, Renata M. C. R. de Souza, Getúlio J. A. Amaral, Fernanda De Bastiani:
Exploratory spatial analysis for interval data: A new autocorrelation index with COVID-19 and rent price applications. Expert Syst. Appl. 195: 116561 (2022) - [j34]Fernando Kamei, Igor Wiese, Gustavo Pinto, Waldemar Ferreira, Márcio Ribeiro, Renata Souza, Sérgio Soares:
Assessing the Credibility of Grey Literature - A Study with Brazilian Software Engineering Researchers. J. Softw. Eng. Res. Dev. 10: 9:1-9:20 (2022) - [c55]Maria Yêda Lima, Carla Silva, Renata M. C. R. de Souza:
Explorando a especificação de cenários de teste de segurança no desenvolvimento orientado por comportamento (Behavior Driven Development). WER 2022 - 2021
- [j33]Elaine Cristina de Assis, Renata Maria Cardoso Rodrigues De Souza, Getúlio José Amorim do Amaral:
Using bagging to enhance clustering procedures for planar shapes. Int. J. Bus. Intell. Data Min. 18(1): 30-48 (2021) - [j32]Leandro Carlos de Souza, Bruno A. Pimentel, Telmo de Menezes e Silva Filho, Renata M. C. R. de Souza:
Kohonen map-wise regression applied to interval data. Knowl. Based Syst. 224: 107091 (2021) - [j31]Wagner J. F. Silva, Renata M. C. R. Souza, Francisco José de A. Cysneiros:
psda: A tool for extracting knowledge from symbolic data with an application in Brazilian educational data. Soft Comput. 25(3): 1803-1819 (2021) - 2020
- [j30]Diego C. Nascimento, Bruno A. Pimentel, Renata Souza, João P. Leite, Dylan J. Edwards, Taiza E. G. Santos, Francisco Louzada:
Dynamic time series smoothing for symbolic interval data applied to neuroscience. Inf. Sci. 517: 415-426 (2020) - [j29]Leandro Carlos de Souza, Renata Maria Cardoso Rodrigues De Souza, Getúlio José Amorim do Amaral:
Dynamic clustering of interval data based on hybrid \(L_q\) distance. Knowl. Inf. Syst. 62(2): 687-718 (2020) - [c54]Any Caroliny Duarte Batista de Almeida, Renata M. C. R. de Souza, Fabio Q. B. da Silva, Leandro de Almeida Melo, George Marsicano:
Teamwork Quality and Team Success in Software Development: A Non-exact Replication Study. ESEM 2020: 20:1-20:11
2010 – 2019
- 2019
- [j28]Maria Priscila Da Silva Souza, Telmo de Menezes e Silva Filho, Getúlio José Amorim do Amaral, Renata Maria Cardoso Rodrigues De Souza:
Investigating different fitness criteria for swarm-based clustering. Int. J. Bus. Intell. Data Min. 15(1): 117-131 (2019) - [j27]Dailys Maite Aliaga Reyes, Renata Maria Cardoso Rodrigues De Souza, Francisco José de A. Cysneiros:
Estimating risk in capital asset pricing for interval-valued data. Int. J. Bus. Inf. Syst. 32(4): 522-535 (2019) - [j26]Wagner J. F. Silva, Renata M. C. R. Souza, Francisco José de A. Cysneiros:
Polygonal data analysis: A new framework in symbolic data analysis. Knowl. Based Syst. 163: 26-35 (2019) - [c53]Rodrigo B. de C. Cavalcanti, Bruno A. Pimentel, Carlos Wilson Dantas de Almeida, Renata M. C. R. de Souza:
A Multivariate Fuzzy Kohonen Clustering Network. IJCNN 2019: 1-7 - 2018
- [j25]Bruno Almeida Pimentel, Renata M. C. R. de Souza:
A Generalized Multivariate Approach for Possibilistic Fuzzy C-Means Clustering. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 26(6): 893-916 (2018) - [j24]Diego C. F. Queiroz, Renata M. C. R. de Souza, Francisco José de A. Cysneiros, Marcus C. Araújo:
Kernelized inner product-based discriminant analysis for interval data. Pattern Anal. Appl. 21(3): 731-740 (2018) - 2017
- [j23]Dailys Maite Aliaga Reyes, Renata M. C. R. de Souza, Francisco José de A. Cysneiros:
Predicting symbolic interval-valued data through symmetrical nonlinear regression. Int. J. Bus. Intell. Data Min. 12(2): 175-189 (2017) - [j22]Leandro Carlos de Souza, Renata M. C. R. Souza, Getúlio J. A. Amaral, Telmo de Menezes e Silva Filho:
A parametrized approach for linear regression of interval data. Knowl. Based Syst. 131: 149-159 (2017) - [j21]Marcus C. Araújo, Renata M. C. R. Souza, Rita C. F. Lima, Telmo de Menezes e Silva Filho:
An interval prototype classifier based on a parameterized distance applied to breast thermographic images. Medical Biol. Eng. Comput. 55(6): 873-884 (2017) - [j20]Diêgo B. M. Maciel, Getúlio J. A. Amaral, Renata M. C. R. de Souza, Bruno A. Pimentel:
Multivariate fuzzy k-modes algorithm. Pattern Anal. Appl. 20(1): 59-71 (2017) - [c52]Bruno A. Pimentel, Marcilio C. P. de Souto, Renata M. C. R. de Souza:
Interpreting multivariate membership degrees of fuzzy clustering methods: A strategy. IJCNN 2017: 2800-2804 - 2016
- [j19]Roberta A. de A. Fagundes, Renata M. C. R. Souza, Francisco José de A. Cysneiros:
Zero-inflated prediction model in software-fault data. IET Softw. 10(1): 1-9 (2016) - [j18]Bruno Almeida Pimentel, Renata M. C. R. de Souza:
Multivariate Fuzzy C-Means algorithms with weighting. Neurocomputing 174: 946-965 (2016) - [j17]Telmo de Menezes e Silva Filho, Renata M. C. R. Souza, Ricardo B. C. Prudêncio:
A swarm-trained k-nearest prototypes adaptive classifier with automatic feature selection for interval data. Neural Networks 80: 19-33 (2016) - [c51]Roberta A. de A. Fagundes, Renata M. C. R. de Souza, Yanne M. G. Soares:
Quantile regression of interval-valued data. ICPR 2016: 2586-2591 - 2015
- [j16]Telmo de Menezes e Silva Filho, Bruno A. Pimentel, Renata M. C. R. Souza, Adriano L. I. Oliveira:
Hybrid methods for fuzzy clustering based on fuzzy c-means and improved particle swarm optimization. Expert Syst. Appl. 42(17-18): 6315-6328 (2015) - [j15]Juliana de A. G. Saraiva, Micael Soares de França, Sérgio C. B. Soares, Fernando Castor Filho, Renata M. C. R. de Souza:
Classifying metrics for assessing Object-Oriented Software Maintainability: A family of metrics' catalogs. J. Syst. Softw. 103: 85-101 (2015) - [c50]Bruno A. Pimentel, Anderson F. B. F. da Costa, Renata M. C. R. de Souza:
Input space versus feature space in kernel-based interval fuzzy C-Means clustering. IJCNN 2015: 1-7 - 2014
- [j14]Bruno Almeida Pimentel, Renata M. C. R. de Souza:
A weighted multivariate Fuzzy C-Means method in interval-valued scientific production data. Expert Syst. Appl. 41(7): 3223-3236 (2014) - [j13]Marcus C. Araújo, Rita C. F. Lima, Renata M. C. R. de Souza:
Interval symbolic feature extraction for thermography breast cancer detection. Expert Syst. Appl. 41(15): 6728-6737 (2014) - [j12]Roberta A. de A. Fagundes, Renata M. C. R. de Souza, Francisco José de A. Cysneiros:
Interval kernel regression. Neurocomputing 128: 371-388 (2014) - [j11]Bruno Almeida Pimentel, Renata M. C. R. de Souza:
Possibilistic Clustering Methods for Interval-Valued Data. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 22(2): 263-292 (2014) - 2013
- [j10]Bruno A. Pimentel, Renata M. C. R. de Souza:
A multivariate fuzzy c-means method. Appl. Soft Comput. 13(4): 1592-1607 (2013) - [j9]Roberta A. de A. Fagundes, Renata M. C. R. de Souza, Francisco José de A. Cysneiros:
Robust regression with application to symbolic interval data. Eng. Appl. Artif. Intell. 26(1): 564-573 (2013) - [j8]Carlos Wilson Dantas de Almeida, Renata M. C. R. de Souza, Ana Lucia B. Candeias:
Fuzzy Kohonen clustering networks for interval data. Neurocomputing 99: 65-75 (2013) - [j7]Anderson F. B. F. da Costa, Bruno A. Pimentel, Renata M. C. R. de Souza:
Clustering interval data through kernel-induced feature space. J. Intell. Inf. Syst. 40(1): 109-140 (2013) - [c49]Telmo de Menezes e Silva Filho, Renata M. C. R. Souza:
Fuzzy learning vector quantization approaches for interval data. FUZZ-IEEE 2013: 1-8 - [c48]Valter E. Silva Júnior, Renata M. C. R. Souza, Getúlio J. A. Amaral, Hélio G. Souza Júnior:
Estimation Methods of Presumed Income. ICONIP (2) 2013: 235-241 - [c47]Fabrízia Medeiros de S. Matos, Renata Maria Cardoso R. de Souza:
Hierarchical Classification of Vehicle Images Using NN with Conditional Adaptive Distance. ICONIP (2) 2013: 745-752 - [c46]Carlos Wilson Dantas de Almeida, Renata M. C. R. de Souza, Ana Lucia B. Candeias:
A shape descriptor based on symbolic data analysis. IJCNN 2013: 1-8 - [c45]Roberta A. de A. Fagundes, Ricardo J. A. Queiroz Filho, Renata M. C. R. de Souza, Francisco José de A. Cysneiros:
An interval nonparametric regression method. IJCNN 2013: 1-7 - 2012
- [c44]Carlos Wilson Dantas de Almeida, Renata M. C. R. Souza, Ana Lucia B. Candeias:
texture classification based on symbolic data analysis. ESANN 2012 - [c43]Renata M. C. R. de Souza, Leonardo Vieira de Carvalho, Nicomedes L. Cavalcanti Junior:
A novel adaptive fuzzy c-means algorithm for interval data type. FUZZ-IEEE 2012: 1-5 - [c42]Bruno Almeida Pimentel, Jarley Palmeira Nóbrega, Renata M. C. R. de Souza:
Using Weighted Clustering and Symbolic Data to Evaluate Institutes's Scientific Production. ICANN (2) 2012: 435-442 - [c41]Telmo de Menezes e Silva Filho, Renata Maria Cardoso R. de Souza:
A Weighted Learning Vector Quantization Approach for Interval Data. ICONIP (3) 2012: 504-511 - [c40]Anderson Santana, Jackson Silva, Patrícia Muniz, Fabricio Araújo, Renata Maria Cardoso R. de Souza:
Comparative Analysis of Clustering Algorithms Applied to the Classification of Bugs. ICONIP (5) 2012: 592-598 - [c39]Cristiano G. de Melo, Renata Maria Cardoso R. de Souza, Liliane R. B. Salgado:
Assessing Reliability of Substation Spare Current Transformer System. ICONIP (4) 2012: 660-667 - [c38]Fabrízia Medeiros de S. Matos, Renata Maria Cardoso R. de Souza:
Vehicle Image Classification Based on Edge: Features and Distances Comparison. ICONIP (4) 2012: 691-698 - [c37]Carlos Wilson Dantas de Almeida, Renata M. C. R. Souza, Ana Lucia B. Candeias:
IFKCN: Applying fuzzy Kohonen clustering network to interval data. IJCNN 2012: 1-6 - [c36]Bruno Almeida Pimentel, Renata M. C. R. de Souza:
Possibilistic approach to clustering of interval data. SMC 2012: 190-195 - [c35]Fabrízia Medeiros de Sousa Matos, Renata Maria Cardoso R. de Souza:
An image vehicle classification method based on edge and PCA applied to blocks. SMC 2012: 1688-1693 - [c34]Carlos Wilson Dantas de Almeida, Renata M. C. R. de Souza, Ana Lucia B. Candeias:
Texture retrieval using co-occurrence matrix and symbolic interval data under scale and rotation invariance. SMC 2012: 2728-2731 - 2011
- [j6]Renata M. C. R. de Souza, Diego C. F. Queiroz, Francisco José de A. Cysneiros:
Logistic regression-based pattern classifiers for symbolic interval data. Pattern Anal. Appl. 14(3): 273-282 (2011) - [c33]Bruno A. Pimentel, Anderson F. B. F. da Costa, Renata M. C. R. de Souza:
A partitioning method for symbolic interval data based on kernelized metric. CIKM 2011: 2189-2192 - [c32]Bruno A. Pimentel, Anderson F. B. F. da Costa, Renata M. C. R. de Souza:
Kernel-based fuzzy clustering of interval data. FUZZ-IEEE 2011: 497-501 - [c31]Telmo de Menezes e Silva Filho, Renata M. C. R. de Souza:
Pattern classifiers with adaptive distances. IJCNN 2011: 1508-1514 - [c30]Elaine Cristina de Assis, Renata M. C. R. de Souza:
A K-medoids clustering algorithm for mixed feature-type symbolic data. SMC 2011: 527-531 - 2010
- [j5]Francisco de A. T. de Carvalho, Renata M. C. R. de Souza:
Unsupervised pattern recognition models for mixed feature-type symbolic data. Pattern Recognit. Lett. 31(5): 430-443 (2010) - [j4]Marco A. O. Domingues, Renata M. C. R. de Souza, Francisco José de A. Cysneiros:
A robust method for linear regression of symbolic interval data. Pattern Recognit. Lett. 31(13): 1991-1996 (2010) - [c29]Anderson F. B. F. da Costa, Bruno A. Pimentel, Renata M. C. R. de Souza:
K-means Clustering for Symbolic Interval Data Based on Aggregated Kernel Functions. ICTAI (2) 2010: 375-376 - [c28]Anderson F. B. F. da Costa, Bruno A. Pimentel, Renata M. C. R. de Souza:
A kernel k-means clustering method for symbolic interval data. IJCNN 2010: 1-6 - [c27]Roberta A. de A. Fagundes, Renata M. C. R. de Souza:
Software Defect Estimation using Support Vector Regression. SEKE 2010: 265-268 - [c26]Carlos Wilson Dantas de Almeida, Renata M. C. R. de Souza, Ana Lucia B. Candeias:
Texture classification based on co-occurrence matrix and self-organizing map. SMC 2010: 2487-2491
2000 – 2009
- 2009
- [j3]Renata L. M. E. do Rego, Márcio Ribeiro, Emanuella A. de Barros, Renata M. C. R. de Souza:
A Self-organizing Based Approach for Bug Reports Retrieval. J. Digit. Inf. Manag. 7(6): 365-370 (2009) - [c25]Renata M. C. R. de Souza, Telmo de Menezes e Silva Filho:
Optimized Learning Vector Quantization Classifier with an Adaptive Euclidean Distance. ICANN (1) 2009: 799-806 - [c24]Roberta A. de A. Fagundes, Renata M. C. R. de Souza, Francisco José de A. Cysneiros:
A Robust Prediction Method for Interval Symbolic Data. ISDA 2009: 1019-1024 - [c23]Ana Carina M. Almeida, Renata M. C. R. Souza, Gibeon Aquino, Silvio Romero de Lemos Meira:
Effort Drivers Estimation for Brazilian Geographically Distributed Software Development. SEAFOOD 2009: 60-65 - [c22]Renata M. C. R. Souza, Luciana Q. Leal, Roberta A. de A. Fagundes, Hermano P. Moura, Cristine Gusmão:
Nearest-Neighborhood Linear Regression in an Application with Software Effort Estimation. SMC 2009: 5030-5034 - 2008
- [c21]Renata M. C. R. de Souza, André dos S. Sabóia:
Bagging for a Region Oriented Symbolic Classifier. HIS 2008: 362-367 - [c20]Renata L. M. E. do Rego, Márcio Ribeiro, Emanuella Aleixo, Renata M. C. R. de Souza:
Bug reports retrieval using Self-organizing Map. ICDIM 2008: 320-325 - [c19]Renata M. C. R. de Souza, Francisco José de A. Cysneiros, Diego C. F. Queiroz, Roberta A. de A. Fagundes:
Two pattern classifiers for interval data based on binary regression models. ICDIM 2008: 632-637 - [c18]Renata M. C. R. de Souza, Diogo R. S. Salazar:
A Non-linear Classifier for Symbolic Interval Data Based on a Region Oriented Approach. ICONIP (2) 2008: 11-18 - [c17]Marco A. O. Domingues, Renata M. C. R. de Souza, Francisco José de A. Cysneiros:
A Symmetrical Model Applied to Interval-Valued Data Containing Outliers with Heavy-Tail Distribution. ICONIP (2) 2008: 19-26 - [c16]Carlos Wilson Dantas de Almeida, Renata M. C. R. de Souza, Nicomedes L. Cavalcanti Junior:
Image retrieval using the curvature scale space (CSS) descriptor and the self-organizing map (SOM) model under scale invariance. IJCNN 2008: 2756-2760 - [c15]Renata M. C. R. de Souza, Francisco José de A. Cysneiros, Diego C. F. Queiroz, Roberta A. de A. Fagundes:
A Symbolic Pattern Classifier for Interval Data Based on Binary Probit Analysis. KI 2008: 340-347 - [c14]Renata M. C. R. de Souza, Francisco José de A. Cysneiros, Diego C. F. Queiroz, Roberta A. de A. Fagundes:
A multi-class logistic regression model for interval data. SMC 2008: 1253-1258 - 2007
- [c13]Renata M. C. R. de Souza, Francisco de A. T. de Carvalho:
A Clustering Method for Mixed Feature-Type Symbolic Data using Adaptive Squared Euclidean Distances. HIS 2007: 168-173 - [c12]Carlos Wilson Dantas de Almeida, Renata M. C. R. de Souza, Carlos E. B. Rodrigues, Nicomedes L. Cavalcanti Junior:
Image Retrieval Using the Curvature Scale Space (CSS) Technique and the Self-Organizing Map (SOM) Model under Affine Transforms. HIS 2007: 210-215 - [c11]Carlos Wilson Dantas de Almeida, Renata M. C. R. de Souza, Carlos E. B. Rodrigues, Nicomedes L. Cavalcanti Junior:
Image retrieval using the curvature scale space (CSS) technique and the self-organizing map (SOM) model under rotation. ICDIM 2007: 357-361 - [c10]Francisco de A. T. de Carvalho, Julio T. Pimentel, Lucas X. T. Bezerra, Renata M. C. R. de Souza:
Clustering symbolic interval data based on a single adaptive hausdorff distance. SMC 2007: 451-455 - 2006
- [j2]Francisco de A. T. de Carvalho, Renata M. C. R. de Souza, Marie Chavent, Yves Lechevallier:
Adaptive Hausdorff distances and dynamic clustering of symbolic interval data. Pattern Recognit. Lett. 27(3): 167-179 (2006) - [c9]Carlos Wilson Dantas de Almeida, Renata M. C. R. de Souza, Nicomedes L. Cavalcanti Junior:
A Shape-Based Image Retrieval System Using the Curvature Scale Space (CSS) Technique and the Self-Organizing Map (SOM) Model. HIS 2006: 25 - [c8]Fabio C. D. Silva, Francisco de A. T. de Carvalho, Renata M. C. R. de Souza, Joyce Q. Silva:
A Modal Symbolic Classifier for Interval Data. ICONIP (2) 2006: 50-59 - [c7]Renata M. C. R. de Souza, Francisco de A. T. de Carvalho, Daniel F. Pizzato:
A Partitioning Method for Mixed Feature-Type Symbolic Data Using a Squared Euclidean Distance. KI 2006: 260-273 - [c6]Francisco de A. T. de Carvalho, Renata M. C. R. de Souza, Lucas X. T. Bezerra:
A dynamical clustering method for symbolic interval data based on a single adaptive Euclidean distance. SBRN 2006: 42-47 - [p1]Renata M. C. R. de Souza, Francisco de A. T. de Carvalho, Daniel F. Pizzato:
A Dynamic Clustering Method for Mixed Feature-Type Symbolic Data. Data Science and Classification 2006: 203-210 - 2004
- [j1]Renata M. C. R. de Souza, Francisco de A. T. de Carvalho:
Clustering of interval data based on city-block distances. Pattern Recognit. Lett. 25(3): 353-365 (2004) - [c5]Renata M. C. R. de Souza, Francisco de A. T. de Carvalho, Camilo P. Tenorio:
Two Partitional Methods for Interval-Valued Data Using Mahalanobis Distances. IBERAMIA 2004: 454-463 - [c4]Simith T. D'Oliveira Junior, Francisco de A. T. de Carvalho, Renata M. C. R. de Souza:
A Classifier for Quantitative Feature Values Based on a Region Oriented Symbolic Approach. IBERAMIA 2004: 464-473 - [c3]Simith T. D'Oliveira Junior, Francisco de A. T. de Carvalho, Renata M. C. R. de Souza:
Classification of SAR Images Through a Convex Hull Region Oriented Approach. ICONIP 2004: 769-774 - [c2]Renata M. C. R. de Souza, Francisco de A. T. de Carvalho, Fabio C. D. Silva:
Clustering of Interval-Valued Data Using Adaptive Squared Euclidean Distances. ICONIP 2004: 775-780 - [c1]Francisco de A. T. de Carvalho, Renata M. C. R. de Souza, Fabio C. D. Silva:
A Clustering Method for Symbolic Interval-Type Data Using Adaptive Chebyshev Distances. SBIA 2004: 266-275
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