Francisco de A. T. de Carvalho

Francisco de Assis Tenório de Carvalho

	2012
76		Francisco de A. T. de Carvalho, Yves Lechevallier, Filipe M. de Melo: Partitioning hard clustering algorithms based on multiple dissimilarity matrices. Pattern Recognition 45(1): 447-464 (2012)
	2011
75		Anderson B. dos S. Dantas, Francisco de A. T. de Carvalho: Adaptive Batch SOM for Multiple Dissimilarity Data Tables. ICTAI 2011: 575-578
74		Luciano D. S. Pacifico, Francisco de A. T. de Carvalho: A batch self-organizing maps algorithm based on adaptive distances. IJCNN 2011: 2297-2304
73		Antonio Irpino, Rosanna Verde, Francisco de A. T. de Carvalho: Dynamic Clustering of Histogram Data Based on Adaptive Squared Wasserstein Distances CoRR abs/1110.1462: (2011)
72		Byron Leite Dantas Bezerra, Francisco de Assis Tenório de Carvalho: Symbolic data analysis tools for recommendation systems. Knowl. Inf. Syst. 26(3): 385-418 (2011)
	2010
71		Clerton Ribeiro, Francisco de Assis Tenório de Carvalho, Ivan G. Costa: Semi-supervised Approach for Finding Cancer Sub-classes on Gene Expression Data. BSB 2010: 25-34
70		Francisco de Assis Tenório de Carvalho: Recent advances in partitioning clustering algorithms for interval-valued data. EGC 2010: 19-20
69		Valmir Macário Filho, Francisco de Assis Tenório de Carvalho: A new approach for semi-supervised clustering based on Fuzzy C-Means. FUZZ-IEEE 2010: 1-8
68		Francisco de A. T. de Carvalho, Filipe M. de Melo, Yves Lechevallier: A relational fuzzy c-means clustering algorithm based on multiple dissimilarity matrices. ISDA 2010: 43-48
67		Eufrasio de A. Lima Neto, Francisco de A. T. de Carvalho: Constrained linear regression models for symbolic interval-valued variables. Computational Statistics & Data Analysis 54(2): 333-347 (2010)
66		Francisco de A. T. de Carvalho, Camilo P. Tenorio: Fuzzy K-means clustering algorithms for interval-valued data based on adaptive quadratic distances. Fuzzy Sets and Systems 161(23): 2978-2999 (2010)
65		Francisco de A. T. de Carvalho, Renata M. C. R. de Souza: Unsupervised pattern recognition models for mixed feature-type symbolic data. Pattern Recognition Letters 31(5): 430-443 (2010)
	2009
64		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
63		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
62		Eufrasio de Andrade Lima Neto, Gauss Moutinho Cordeiro, Francisco de Assis Tenório de Carvalho, Ulisses Umbelino dos Anjos, Abner Gomes da Costa: Bivariate Generalized Linear Model for Interval-Valued Variables. IJCNN 2009: 2226-2229
61		Kelly P. Silva, Francisco de A. T. de Carvalho, Marc Csernel: Clustering of symbolic data using the assignment-prototype algorithm. IJCNN 2009: 2936-2942
60		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
59		Alzennyr Da Silva, Yves Lechevallier, Francisco de A. T. de Carvalho: Comparing Clustering on Symbolic Data. Intelligent Text Categorization and Clustering 2009: 81-94
58		Francisco de A. T. de Carvalho, Yves Lechevallier: Dynamic Clustering of Interval-Valued Data Based on Adaptive Quadratic Distances. IEEE Transactions on Systems, Man, and Cybernetics, Part A 39(6): 1295-1306 (2009)
57		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)
56		Francisco de A. T. de Carvalho, Marc Csernel, Yves Lechevallier: Clustering constrained symbolic data. Pattern Recognition Letters 30(11): 1037-1045 (2009)
	2008
55		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
54		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
53		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
52		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
51		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
50		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
49		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
48		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
47		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
46		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
45		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
44		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
43		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
42		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
41		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
40		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
39		Francisco de A. T. de Carvalho: Fuzzy c-means clustering methods for symbolic interval data. Pattern Recognition Letters 28(4): 423-437 (2007)
	2006
38		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
37		Alzennyr Da Silva, Francisco de Assis Tenório de Carvalho, Yves Lechevallier, Brigitte Trousse: Characterizing visitor groups from web data streams. GrC 2006: 389-392
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	Ulisses Umbelino dos Anjos	[62]
3	Aluizio F. R. Araújo (Aluizio Fausto Ribeiro Araújo)	[33]
4	Luciano Barbosa	[21]
5	Byron L. D. Bezerra (Byron Leite Dantas Bezerra)	[6] [9] [18] [20] [26] [72]
6	Lucas X. T. Bezerra	[28] [30] [41] [43]
7	Paulemir G. Campos	[44]
8	Nicomedes Cavalcanti	[15] [23]
9	Marie Chavent	[24]
10	Gauss Moutinho Cordeiro	[62]
11	Vincent Corruble	[4] [5]
12	Abner Gomes da Costa	[62]
13	Ivan G. Costa (Ivan Gesteira Costa)	[1] [2] [3] [71]
14	Marc Csernel	[51] [56] [61]
15	Anderson B. dos S. Dantas	[75]
16	Valmir Macário Filho	[26] [49] [69]
17	Eduarda S. Freire	[22]
18	Juliana Freire	[21]
19	Gecynalda Soares S. Gomes	[33]
20	Antonio Irpino	[73]
21	Nicomedes L. Cavalcanti Junior	[25]
22	Simith T. D'Oliveira Junior	[14] [16]
23	Yves Lechevallier	[24] [32] [37] [38] [47] [56] [57] [58] [59] [60] [64] [68] [76]
24	Marcos G. Lima	[49]
25	Teresa Bernarda Ludermir	[7] [15] [29] [33] [35] [44] [52] [53] [63]
26	André Luis Santiago Maia	[29] [33] [35] [50] [55]
27	Filipe M. de Melo	[68] [76]
28	Eufrasio de A. Lima Neto	[12] [19] [22] [30] [40] [42] [48] [67]
29	Eufrasio de Andrade Lima Neto	[62]
30	Jose F. Coelho Neto	[40] [42]
31	Eleonora Ma. Jesus Oliveira	[44]
32	Wilson Rosa de Oliveira	[44]
33	Luciano D. S. Pacifico	[54] [74]
34	Julio T. Pimentel	[41] [43] [45]
35	Daniel F. Pizzato	[31]
36	Ricardo Bastos Cavalcante Prudêncio	[7] [49]
37	Sérgio R. de M. Queiroz	[4] [10]
38	Geber Ramalho	[4] [5] [6]
39	Clerton Ribeiro	[71]
40	Jacques Robin	[21]
41	Laerte Rodrigues Jr.	[49]
42	Fabrice Rossi	[38] [47] [60]
43	Ana Carolina Salgado	[21]
44	Alzennyr Da Silva	[15] [32] [37] [38] [47] [59] [60] [64]
45	Fabio C. D. Silva	[11] [13] [36]
46	Joyce Q. Silva	[36]
47	Kelly P. Silva	[51] [52] [53] [61]
48	Rodrigo G. F. Soares	[52] [53] [63]
49	Marcílio Carlos Pereira de Souto	[1] [2] [3]
50	Renata M. C. R. de Souza	[8] [11] [13] [14] [16] [17] [24] [28] [31] [36] [41] [46] [65]
51	Ivan R. Teixeira	[5]
52	Camilo P. Tenorio	[12] [17] [19] [25] [45] [66]
53	Leandro R. Torres	[49]
54	Brigitte Trousse	[32] [37]
55	Rosanna Verde	[73]
56	Jean-Daniel Zucker	[6]

Colors in the list of coauthors

Last update Sun May 27 04:04:01 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page