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Francisco de A. T. de Carvalho Vis

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*2009
58 Alzennyr Da Silva, Yves Lechevallier, Francisco de A. T. de Carvalho: Vers la simulation et la détection des changements des données évolutives d'usage du Web. EGC 2009: 453-454
57EERodrigo G. F. Soares, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho: An Analysis of Meta-learning Techniques for Ranking Clustering Algorithms Applied to Artificial Data. ICANN (1) 2009: 131-140
56EEAlzennyr Da Silva, Yves Lechevallier, Fabrice Rossi, Francisco de A. T. de Carvalho: Clustering Dynamic Web Usage Data. Innovative Applications in Data Mining 2009: 71-82
55EEAlzennyr Da Silva, Yves Lechevallier, Francisco de A. T. de Carvalho: Comparing Clustering on Symbolic Data. Intelligent Text Categorization and Clustering 2009: 81-94
54EEFrancisco de A. T. de Carvalho, Yves Lechevallier: Partitional clustering algorithms for symbolic interval data based on single adaptive distances. Pattern Recognition 42(7): 1223-1236 (2009)
53EEFrancisco de A. T. de Carvalho, Marc Csernel, Yves Lechevallier: Clustering constrained symbolic data. Pattern Recognition Letters 30(11): 1037-1045 (2009)
2008
52EEKelly P. Silva, Rodrigo G. F. Soares, Francisco de A. T. de Carvalho, Teresa Bernarda Ludermir: Evolving both size and accuracy of RBF networks using Memetic Algorithm. IJCNN 2008: 1938-1944
51EERodrigo G. F. Soares, Kelly P. Silva, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho: An evolutionary approach for the clustering data problem. IJCNN 2008: 1945-1950
50EEKelly P. Silva, Francisco de A. T. de Carvalho, Marc Csernel: Clustering of symbolic data through a dissimilarity volume based measure. IJCNN 2008: 2865-2871
49EEAndré Luis Santiago Maia, Francisco de A. T. de Carvalho: Fitting a Least Absolute Deviation Regression Model on Interval-Valued Data. SBIA 2008: 207-216
48EEValmir Macário Filho, Ricardo Bastos Cavalcante Prudêncio, Francisco de A. T. de Carvalho, Leandro R. Torres, Laerte Rodrigues Jr., Marcos G. Lima: Automatic Information Extraction in Semi-structured Official Journals. SBRN 2008: 51-56
47EEEufrasio de A. Lima Neto, Francisco de A. T. de Carvalho: Centre and Range method for fitting a linear regression model to symbolic interval data. Computational Statistics & Data Analysis 52(3): 1500-1515 (2008)
2007
46 Alzennyr Da Silva, Yves Lechevallier, Fabrice Rossi, Francisco de A. T. de Carvalho: Construction et analyse de résumés de données évolutives : application aux données d'usage du Web. EGC 2007: 539-544
45EERenata 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
44EECamilo P. Tenorio, Francisco de A. T. de Carvalho, Julio T. Pimentel: A Partitioning Fuzzy Clustering Algorithm for Symbolic Interval Data based on Adaptive Mahalanobis Distances. HIS 2007: 174-179
43EEEleonora Ma. Jesus Oliveira, Paulemir G. Campos, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho, Wilson Rosa de Oliveira: Application of a Hybrid Classifier to the Recognition of Petrochemical Odors. HIS 2007: 78-83
42EEFrancisco de A. T. de Carvalho, Julio T. Pimentel, Lucas X. T. Bezerra: Clustering of symbolic interval data based on a single adaptive L1 distance. IJCNN 2007: 224-229
41EEEufrasio de A. Lima Neto, Francisco de A. T. de Carvalho, Jose F. Coelho Neto: Inequality Constraints in Regression Models to Symbolic Interval Variables. IJCNN 2007: 801-806
40EEFrancisco 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
39EEEufrasio de A. Lima Neto, Francisco de A. T. de Carvalho, Jose F. Coelho Neto: Constrained linear regression models for interval-valued data with dependence. SMC 2007: 456-461
38EEFrancisco de A. T. de Carvalho: Fuzzy c-means clustering methods for symbolic interval data. Pattern Recognition Letters 28(4): 423-437 (2007)
2006
37 Fabrice Rossi, Francisco de A. T. de Carvalho, Yves Lechevallier, Alzennyr Da Silva: Comparaison de dissimilarité pour l'analyse de l'usage d'un site web. EGC 2006: 409-414
36EEFabio 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
35EEAndré Luis Santiago Maia, Francisco de A. T. de Carvalho, Teresa Bernarda Ludermir: A Hybrid Model for Symbolic Interval Time Series Forecasting. ICONIP (2) 2006: 934-941
34EEFrancisco de A. T. de Carvalho: A Fuzzy Clustering Algorithm for Symbolic Interval Data Based on a Single Adaptive Euclidean Distance. ICONIP (3) 2006: 1012-1021
33EEGecynalda Soares S. Gomes, André Luis Santiago Maia, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho, Aluizio F. R. Araújo: Hybrid model with dynamic architecture for forecasting time series. IJCNN 2006: 3742-3747
32EEAlzennyr Da Silva, Yves Lechevallier, Francisco de A. T. de Carvalho, Brigitte Trousse: Mining Web Usage Data for Discovering Navigation Clusters. ISCC 2006: 910-915
31EERenata 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
30EEEufrasio de A. Lima Neto, Francisco de A. T. de Carvalho, Lucas X. T. Bezerra: Linear Regression Methods to Predict Interval-Valued Data. SBRN 2006: 125-130
29EEAndré Luis Santiago Maia, Francisco de A. T. de Carvalho, Teresa Bernarda Ludermir: Symbolic interval time series forecasting using a hybrid model. SBRN 2006: 202-207
28EEFrancisco 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
27EEFrancisco de A. T. de Carvalho: Fuzzy clustering algorithms for symbolic interval data based on adaptive and non-adaptive Euclidean distances. SBRN 2006: 60-65
26EEByron L. D. Bezerra, Francisco de A. T. de Carvalho, Valmir Macário Filho: C^2: : A Collaborative Recommendation System Based on Modal Symbolic User Profile. Web Intelligence 2006: 673-679
25EEFrancisco de A. T. de Carvalho, Camilo P. Tenorio, Nicomedes L. Cavalcanti Junior: Partitional fuzzy clustering methods based on adaptive quadratic distances. Fuzzy Sets and Systems 157(21): 2833-2857 (2006)
24EEFrancisco 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 Recognition Letters 27(3): 167-179 (2006)
2005
23EENicomedes Cavalcanti, Francisco de A. T. de Carvalho: An Adaptive Fuzzy c-Means Algorithm with the L2 Norm. Australian Conference on Artificial Intelligence 2005: 1138-1141
22EEEufrasio de A. Lima Neto, Francisco de A. T. de Carvalho, Eduarda S. Freire: Applying Constrained Linear Regression Models to Predict Interval-Valued Data. KI 2005: 92-106
21EELuciano Barbosa, Ana Carolina Salgado, Francisco de A. T. de Carvalho, Jacques Robin, Juliana Freire: Looking at both the present and the past to efficiently update replicas of web content. WIDM 2005: 75-80
2004
20EEByron L. D. Bezerra, Francisco de A. T. de Carvalho: A Symbolic Hybrid Approach to Face the New User Problem in Recommender Systems. Australian Conference on Artificial Intelligence 2004: 1011-1016
19EEEufrasio de A. Lima Neto, Francisco de A. T. de Carvalho, Camilo P. Tenorio: Univariate and Multivariate Linear Regression Methods to Predict Interval-Valued Features. Australian Conference on Artificial Intelligence 2004: 526-537
18EEByron L. D. Bezerra, Francisco de A. T. de Carvalho, Gustavo Alves: Collaborative Filtering Based on Modal Symbolic User Profiles: Knowing You in the First Meeting. IBERAMIA 2004: 235-245
17EERenata 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
16EESimith 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
15EEAlzennyr Da Silva, Francisco de A. T. de Carvalho, Teresa Bernarda Ludermir, Nicomedes Cavalcanti: Comparing Metrics in Fuzzy Clustering for Symbolic Data on SODAS Format. IBERAMIA 2004: 727-736
14EESimith 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
13EERenata 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
12EEFrancisco de A. T. de Carvalho, Eufrasio de A. Lima Neto, Camilo P. Tenorio: A New Method to Fit a Linear Regression Model for Interval-Valued Data. KI 2004: 295-306
11EEFrancisco 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
10EESérgio R. de M. Queiroz, Francisco de A. T. de Carvalho: Making Collaborative Group Recommendations Based on Modal Symbolic Data. SBIA 2004: 307-316
9EEByron L. D. Bezerra, Francisco de A. T. de Carvalho: A symbolic approach for content-based information filtering. Inf. Process. Lett. 92(1): 45-52 (2004)
8EERenata M. C. R. de Souza, Francisco de A. T. de Carvalho: Clustering of interval data based on city-block distances. Pattern Recognition Letters 25(3): 353-365 (2004)
7EERicardo Bastos Cavalcante Prudêncio, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho: A Modal Symbolic Classifier for selecting time series models. Pattern Recognition Letters 25(8): 911-921 (2004)
2002
6EEByron L. D. Bezerra, Francisco de A. T. de Carvalho, Geber Ramalho, Jean-Daniel Zucker: Speeding up Recommender Systems with Meta-prototypes. SBIA 2002: 227-236
5EEIvan R. Teixeira, Francisco de A. T. de Carvalho, Geber Ramalho, Vincent Corruble: ActiveCP: A Method for Speeding up User Preferences Acquisition in Collaborative Filtering Systems. SBIA 2002: 237-247
4EESérgio R. de M. Queiroz, Francisco de A. T. de Carvalho, Geber Ramalho, Vincent Corruble: Making Recommendations for Groups Using Collaborative Filtering and Fuzzy Majority. SBIA 2002: 248-258
3EEIvan G. Costa, Francisco de A. T. de Carvalho, Marcílio Carlos Pereira de Souto: A Symbolic Approach to Gene Expression Time Series Analysis. SBRN 2002: 25-30
2 Ivan G. Costa, Francisco de A. T. de Carvalho, Marcílio Carlos Pereira de Souto: Stability Evaluation of Clustering Algorithms for Time Series Gene Expression Data. WOB 2002: 88-90
1EEIvan G. Costa, Francisco de A. T. de Carvalho, Marcílio Carlos Pereira de Souto: Comparative study on proximity indices for cluster analysis of gene expression time series. Journal of Intelligent and Fuzzy Systems 13(2-4): 133-142 (2002)

Coauthor Index

1Gustavo Alves [18]
2Aluizio F. R. Araújo [33]
3Luciano Barbosa [21]
4Byron L. D. Bezerra [6] [9] [18] [20] [26]
5Lucas X. T. Bezerra [28] [30] [40] [42]
6Paulemir G. Campos [43]
7Nicomedes Cavalcanti [15] [23]
8Marie Chavent [24]
9Vincent Corruble [4] [5]
10Ivan G. Costa [1] [2] [3]
11Marc Csernel [50] [53]
12Valmir Macário Filho [26] [48]
13Eduarda S. Freire [22]
14Juliana Freire [21]
15Gecynalda Soares S. Gomes [33]
16Nicomedes L. Cavalcanti Junior [25]
17Simith T. D'Oliveira Junior [14] [16]
18Yves Lechevallier [24] [32] [37] [46] [53] [54] [55] [56] [58]
19Marcos G. Lima [48]
20Teresa Bernarda Ludermir [7] [15] [29] [33] [35] [43] [51] [52] [57]
21André Luis Santiago Maia [29] [33] [35] [49]
22Eufrasio de A. Lima Neto [12] [19] [22] [30] [39] [41] [47]
23Jose F. Coelho Neto [39] [41]
24Eleonora Ma. Jesus Oliveira [43]
25Wilson Rosa de Oliveira [43]
26Julio T. Pimentel [40] [42] [44]
27Daniel F. Pizzato [31]
28Ricardo Bastos Cavalcante Prudêncio [7] [48]
29Sérgio R. de M. Queiroz [4] [10]
30Geber Ramalho [4] [5] [6]
31Jacques Robin [21]
32Laerte Rodrigues Jr. [48]
33Fabrice Rossi [37] [46] [56]
34Ana Carolina Salgado [21]
35Alzennyr Da Silva [15] [32] [37] [46] [55] [56] [58]
36Fabio C. D. Silva [11] [13] [36]
37Joyce Q. Silva [36]
38Kelly P. Silva [50] [51] [52]
39Rodrigo G. F. Soares [51] [52] [57]
40Marcílio Carlos Pereira de Souto [1] [2] [3]
41Renata M. C. R. de Souza [8] [11] [13] [14] [16] [17] [24] [28] [31] [36] [40] [45]
42Ivan R. Teixeira [5]
43Camilo P. Tenorio [12] [17] [19] [25] [44]
44Leandro R. Torres [48]
45Brigitte Trousse [32]
46Jean-Daniel Zucker [6]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)