Francisco de A. T. de Carvalho

	2009
60		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
59		Rodrigo 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
58		Alzennyr 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
57		Alzennyr Da Silva, Yves Lechevallier, Francisco de A. T. de Carvalho: Comparing Clustering on Symbolic Data. Intelligent Text Categorization and Clustering 2009: 81-94
56		Francisco 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)
55		Francisco de A. T. de Carvalho, Marc Csernel, Yves Lechevallier: Clustering constrained symbolic data. Pattern Recognition Letters 30(11): 1037-1045 (2009)
	2008
54		André Luis Santiago Maia, Francisco de A. T. de Carvalho: Neural Networks and Exponential Smoothing Models for Symbolic Interval Time Series Processing - Applications in Stock Market. HIS 2008: 326-331
53		Francisco de A. T. de Carvalho, Luciano D. S. Pacifico: A Weighted Partitioning Dynamic Clustering Algorithm for Quantitative Feature Data Based on Adaptive Euclidean Distances. HIS 2008: 398-403
52		Kelly 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
51		Rodrigo 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
50		Kelly P. Silva, Francisco de A. T. de Carvalho, Marc Csernel: Clustering of symbolic data through a dissimilarity volume based measure. IJCNN 2008: 2865-2871
49		André Luis Santiago Maia, Francisco de A. T. de Carvalho: Fitting a Least Absolute Deviation Regression Model on Interval-Valued Data. SBIA 2008: 207-216
48		Valmir 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
47		Eufrasio 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
45		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
44		Camilo 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
43		Eleonora 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
42		Francisco 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
41		Eufrasio 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
40		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
39		Eufrasio 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
38		Francisco 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
36		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
35		André 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
34		Francisco 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
33		Gecynalda 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
32		Alzennyr Da Silva, Yves Lechevallier, Francisco de A. T. de Carvalho, Brigitte Trousse: Mining Web Usage Data for Discovering Navigation Clusters. ISCC 2006: 910-915
31		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
30		Eufrasio 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
29		André 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
28		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
27		Francisco de A. T. de Carvalho: Fuzzy clustering algorithms for symbolic interval data based on adaptive and non-adaptive Euclidean distances. SBRN 2006: 60-65
26		Byron 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
25		Francisco 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)
24		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 Recognition Letters 27(3): 167-179 (2006)
	2005
23		Nicomedes 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
22		Eufrasio 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
21		Luciano 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
20		Byron 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
19		Eufrasio 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
18		Byron 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
17		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
16		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
15		Alzennyr 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
14		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
13		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
12		Francisco 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
11		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
10		Sérgio R. de M. Queiroz, Francisco de A. T. de Carvalho: Making Collaborative Group Recommendations Based on Modal Symbolic Data. SBIA 2004: 307-316
9		Byron 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)
8		Renata 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)
7		Ricardo 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
6		Byron 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
5		Ivan 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
4		Sérgio 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
3		Ivan 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
1		Ivan 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

1	Gustavo Alves	[18]
2	Aluizio F. R. Araújo	[33]
3	Luciano Barbosa	[21]
4	Byron L. D. Bezerra	[6] [9] [18] [20] [26]
5	Lucas X. T. Bezerra	[28] [30] [40] [42]
6	Paulemir G. Campos	[43]
7	Nicomedes Cavalcanti	[15] [23]
8	Marie Chavent	[24]
9	Vincent Corruble	[4] [5]
10	Ivan G. Costa	[1] [2] [3]
11	Marc Csernel	[50] [55]
12	Valmir Macário Filho	[26] [48]
13	Eduarda S. Freire	[22]
14	Juliana Freire	[21]
15	Gecynalda Soares S. Gomes	[33]
16	Nicomedes L. Cavalcanti Junior	[25]
17	Simith T. D'Oliveira Junior	[14] [16]
18	Yves Lechevallier	[24] [32] [37] [46] [55] [56] [57] [58] [60]
19	Marcos G. Lima	[48]
20	Teresa Bernarda Ludermir	[7] [15] [29] [33] [35] [43] [51] [52] [59]
21	André Luis Santiago Maia	[29] [33] [35] [49] [54]
22	Eufrasio de A. Lima Neto	[12] [19] [22] [30] [39] [41] [47]
23	Jose F. Coelho Neto	[39] [41]
24	Eleonora Ma. Jesus Oliveira	[43]
25	Wilson Rosa de Oliveira	[43]
26	Luciano D. S. Pacifico	[53]
27	Julio T. Pimentel	[40] [42] [44]
28	Daniel F. Pizzato	[31]
29	Ricardo Bastos Cavalcante Prudêncio	[7] [48]
30	Sérgio R. de M. Queiroz	[4] [10]
31	Geber Ramalho	[4] [5] [6]
32	Jacques Robin	[21]
33	Laerte Rodrigues Jr.	[48]
34	Fabrice Rossi	[37] [46] [58]
35	Ana Carolina Salgado	[21]
36	Alzennyr Da Silva	[15] [32] [37] [46] [57] [58] [60]
37	Fabio C. D. Silva	[11] [13] [36]
38	Joyce Q. Silva	[36]
39	Kelly P. Silva	[50] [51] [52]
40	Rodrigo G. F. Soares	[51] [52] [59]
41	Marcílio Carlos Pereira de Souto	[1] [2] [3]
42	Renata M. C. R. de Souza	[8] [11] [13] [14] [16] [17] [24] [28] [31] [36] [40] [45]
43	Ivan R. Teixeira	[5]
44	Camilo P. Tenorio	[12] [17] [19] [25] [44]
45	Leandro R. Torres	[48]
46	Brigitte Trousse	[32]
47	Jean-Daniel Zucker	[6]

Colors in the list of coauthors