2018

1.   Costa, A. F. ; Manzato, M. G. ; Campello, Ricardo J.G.B.. CoRec: A Co-Training Approach for Recommender Systems (a ser publicado - 2018). Em: ACM/SIGAPP Symposium on Applied Computing, 2018.
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2.   Costa, A. F. ; Manzato, M. G. ; Campello, Ricardo J.G.B.. Ensemble Clustering Approaches Applied in Group-based Collaborative Filtering Supported by Multiple Users Feedback. Journal of Information and Data Management - JIDM. 2018.
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3.   Jaskowiak, P. A. ; Costa Filho, I. G. ; Campello, Ricardo J.G.B.. Clustering of RNA-Seq Samples: Comparison Study on Cancer Data. METHODS. 2018.
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4.   Machado, B. ; Spadon, G. ; Arruda, M. ; Gonçalves, W. ; Carvalho, A C L F ; RODRIGUES-JR, JOSE F. A smartphone application to measure the quality of pest control spraying machines via image analysis. Em: https://arxiv.org/abs/1711.07828, p. (to appear), 2018.
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2017

1.   ANDRADE SILVA, JONATHAN DE ; Hruschka, Eduardo Raul ; GAMA, JOÃO. An evolutionary algorithm for clustering data streams with a variable number of clusters. EXPERT SYSTEMS WITH APPLICATIONS. v. 67, p. 228-238, issn: 09574174, 2017.
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2.   Araujo Neto, A. C. ; Sander, J. ; Campello, Ricardo J.G.B. ; Nascimento, M.. Efficient Computation of Multiple Density-Based Clustering Hierarchies (a ser publicado). Em: IEEE International Conference ion Data Mining, 2017.
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3.   BRANDOLI, B. ; Scabini, L. ; Orue, J. ; Arruda, M. ; Gonçalves, D. ; Gonçalves, W. ; Moreira, R. ; Rodrigues Jr., Jose F.. A complex network approach for nanoparticle agglomeration analysis in nanoscale images. Journal of Nanoparticle Research. v. 19, p. 64-75, issn: 13880764, 2017.
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4.   CAZZOLATO, M. ; Avalhais, L. ; Chino, D. ; Ramos, J. ; Souza, J. ; RODRIGUES-JR, JOSE F ; TRAINA, A. J. M.. FiSmo: a compilation of datasets from emergency situations for fire and smoke analysis. Em: 32o. Simpósio Brasileiro de Bancos de Dados, 2017, Uberlandia, MG. Proceedings on Dataset Showcase Workshop - 32nd Brazilian Symposium on Databases, p. 1-11, 2017.
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5.   de Arruda, Guilherme Ferraz ; COZZO, EMANUELE ; PEIXOTO, TIAGO P. ; Rodrigues, Francisco A. ; MORENO, YAMIR. Disease Localization in Multilayer Networks. Physical Review X. v. 7, p. 1, issn: 21603308, 2017.
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6.   FERREIRA, LUCAS ; GAZZOLA, MURILO ; FERRARI, DEBORAH ; ZUPELARI, MARINA ; PAIVA, PAULA ; JR, JOSE RODRIGUES. Métodos de classificação aplicados à detecção automática de Estilos de Aprendizagem em um ambiente real de ensino. Em: XXVIII Simpósio Brasileiro de Informática na Educação SBIE (Brazilian Symposium on Computers in Education), p. 1517-1526, 2017.
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7.   MÉNDEZ-BERMÚDEZ, J. A. ; de Arruda, Guilherme Ferraz ; Rodrigues, Francisco A. ; MORENO, YAMIR. Scaling properties of multilayer random networks. PHYSICAL REVIEW E. v. 96, p. 012307, issn: 24700045, 2017.
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8.   Oliveira, G. V. ; Coutinho, F. P. ; Campello, Ricardo J.G.B. ; Naldi, M. C.. Improving k -means through distributed scalable metaheuristics. NEUROCOMPUTING. v. 246, p. 45-57, issn: 09252312, 2017.
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9.   PADILHA, VICTOR A. ; CAMPELLO, RICARDO J. G. B.. A systematic comparative evaluation of biclustering techniques. BMC BIOINFORMATICS. v. 18, p. 18:55, issn: 14712105, 2017.
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10.   Rabbany, R. ; Takaffoli, M. ; Fagnan, J. ; ZAIANE, O. R. ; Campello, Ricardo J.G.B.. Relative Validity Criteria for Community Mining Algorithms. Em: Reda Alhajj; Jon Rokne. (Org.). Encyclopedia of Social Network Analysis and Mining - 2nd (Live) Edition. 2ed.New York. : Springer. 2017.p. 1-15.
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11.   Scabini, L. ; Fistarol, D. O. ; Cantero, S. ; Gonçalves, W. ; BRANDOLI, B. ; RODRIGUES-JR, JOSE F. Angular Descriptors of Complex Networks: a novel approach for boundary shape analysis. EXPERT SYSTEMS WITH APPLICATIONS. p. 1-In press, issn: 09574174, 2017.
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12.   SPADON, GABRIEL ; GIMENES, GABRIEL ; RODRIGUES-JR, JOSE F.. Identifying Urban Inconsistencies via Street Networks. PROCEDIA COMPUTER SCIENCE. v. 108, p. 18-27, issn: 18770509, 2017.
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13.   SPADON, GABRIEL ; SCABORA, LUCAS C. ; OLIVEIRA, PAULO H. ; ARAUJO, MARCUS V.S. ; MACHADO, BRUNO B. ; SOUSA, ELAINE P.M. ; TRAINA-JR, CAETANO ; RODRIGUES-JR, JOSE F.. Behavioral Characterization of Criminality Spread in Cities. PROCEDIA COMPUTER SCIENCE. v. 108, p. 2537-2541, issn: 18770509, 2017.
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14.   VEGA-OLIVEROS, DIDIER A ; DA F COSTA, LUCIANO ; Rodrigues, Francisco A. Rumor propagation with heterogeneous transmission in social networks. Journal of Statistical Mechanics. v. 2017, p. 023401, issn: 17425468, 2017.
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2016

1.   AVALHAIS, LETRICIA P.S. ; Rodrigues, Jose ; Traina, Agma J.M.. Fire Detection on Unconstrained Videos Using Color-Aware Spatial Modeling and Motion Flow. Em: 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI), p. 913-920, 2016.
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2.   Batista, A. J. L. ; Campello, Ricardo J.G.B. ; Sander, J.. Active Semi-Supervised Classification based on Multiple Clustering Hierarchies. Em: IEEE International Conference on Data Science and Advanced Analytics, p. 11-20, 2016.
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3.   Campos, G. O. ; ZIMEK, A. ; Sander, J. ; Campello, Ricardo J.G.B. ; Micenková, B. ; Schubert, E. ; Assent, I. ; Houle, M. E.. On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study. Data Mining and Knowledge Discovery. v. 30, p. 891-927, issn: 13845810, 2016.
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4.   Campos, G. O. ; ZIMEK, A. ; Sander, J. ; Campello, Ricardo J.G.B. ; Micenková, B. ; Schubert, E. ; Assent, I. ; Houle, M. E.. On the Evaluation of Outlier Detection: Measures, Datasets, and an Empirical Study Continued. Em: Lernen Wissen Daten Analysen Conference, 2016, Potsdam. LWDA, p. 234, 2016.
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5.   CAZZOLATO, MIRELA T. ; BEDO, MARCOS V. N. ; COSTA, ALCEU F. ; DE SOUZA, JESSICA ANDRESSA ; TRAINA, CAETANO ; Rodrigues, Jose F. ; TRAINA, Agma J. M.. Unveiling smoke in social images with the SmokeBlock approach. Em: the 31st Annual ACM Symposium, p. 49, 2016.
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6.   CORRÊA, DÉBORA C. ; RODRIGUES, FRANCISCO AP.. A survey on symbolic data-based music genre classification. Expert Systems with Applications. v. 60, p. 190-210, issn: 09574174, 2016.
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7.   Costa, A. F. ; D?Addio, R. M. ; Manzato, M. G. ; Campello, Ricardo J.G.B.. Exploiting Different Users Interactions for Profiles Enrichment in Recommender Systems. Em: ACM/SIGAPP Symposium on Applied Computing, p. 1080-1082, 2016.
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8.   Costa, A. F. ; Manzato, M. G. ; Campello, Ricardo J.G.B.. Group-based Collaborative Filtering Supported by Multiple Users' Feedback to Improve Personalized Ranking. Em: Simpósio Brasileiro de Multimídia e Web, p. 279-286, 2016.
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9.   COVÕES, Thiago Ferreira ; Hruschka, Eduardo Raul ; GHOSH, JOYDEEP. Evolving Gaussian Mixture Models with Splitting and Merging Mutation Operators. Evolutionary Computation. v. 24, p. 293-317, issn: 10636560, 2016.
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10.   COZZO, EMANUELE ; de Arruda, Guilherme Ferraz ; Rodrigues, Francisco A. ; MORENO, YAMIR. Multilayer Networks: Metrics and Spectral Properties. Understanding Complex Systems. 1ed. Em: . : Springer International Publishing. 2016.p. 17-35.
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11.   FRAIDEINBERZE, ANTONIO C. ; Rodrigues, Jose F. ; CORDEIRO, ROBSON L. F.. Effective and Unsupervised Fractal-Based Feature Selection for Very Large Datasets: Removing Linear and Non-linear Attribute Correlations. Em: 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW), p. 615-622, 2016.
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12.   GIMENES, G. ; Cordeiro, R. L. F. ; Rodrigues Jr., Jose F.. ORFEL: Efficient detection of defamation or illegitimate promotion in online recommendation. Information Sciences. v. 379, p. 274-287, issn: 00200255, 2016.
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13.   GIMENES, GABRIEL P. ; GUALDRON, HUGO ; Rodrigues, Jose F.. Vertex Centric Asynchronous Belief Propagation Algorithm for Large-Scale Graphs. Em: 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW), p. 93-98, 2016.
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14.   GONZAGA, ANDRE S. ; GUALDRON, HUGO ; SOUSA, ELAINE P. M. ; RODRIGUES-JR., JOSE F. ; LAVERDE, NATAN A. ; CORDEIRO, ROBSON L. F. ; FRAIDEINBERZE, ANTONIO C. ; OLIVEIRA, WILLIAN D. ; FERREIRA, LUCAS D. ; OLIVEIRA, PAULO H. ; TRAINA, Agma J. M. ; TRAINA JR., Caetano. On the Support of a Similarity-enabled Relational Database Management System in Civilian Crisis Situations. Em: 18th International Conference on Enterprise Information Systems, p. 119-126, 2016.
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15.   GUALDRON, HUGO ; Cordeiro, Robson ; Rodrigues, Jose ; Chau, Duen Horng ; Kahng, Minsuk ; Kang, U.. M-Flash: Fast Billion-Scale Graph Computation Using a Bimodal Block Processing Model. Em: The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery. (Org.). Lecture Notes in Computer Science. 1ed. : Springer International Publishing. 2016.p. 623-640.
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16.   Jaskowiak, P. A. ; Moulavi, D. ; Furtado, A. C. ; Campello, Ricardo J.G.B. ; ZIMEK, A. ; Sander, J.. On strategies for building effective ensembles of relative clustering validity criteria. Knowledge and Information Systems (Print). v. 47, p. 329-354, issn: 02191377, 2016.
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17.   Kanda, J. ; Carvalho, A.C.P.L.F. ; Hruschka, E.R. ; Soares, C. ; Brazdil, P.. Meta-learning to select the best meta-heuristic for the Traveling Salesman Problem: A comparison of meta-features. Neurocomputing (Amsterdam). v. 205, p. 393-406, issn: 09252312, 2016.
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18.   MACHADO, BRUNO BRANDOLI ; ORUE, JONATAN P M ; ARRUDA, MAURO S ; SANTOS, CLEIDIMAR V ; SARATH, DIOGO S ; GONCALVES, WESLEY N ; SILVA, GERCINA G ; PISTORI, HEMERSON ; ROEL, ANTONIA RAILDA ; RODRIGUES-JR, JOSE F. BioLeaf: A professional mobile application to measure foliar damage caused by insect herbivory. Computers and Electronics in Agriculture. v. 129, p. 44-55, issn: 01681699, 2016.
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19.   PERON, THOMAS K. DM. ; KURTHS, JÜRGEN ; Rodrigues, Francisco A. ; SCHIMANSKY-GEIER, LUTZ ; SONNENSCHEIN, BERNARD. Traveling phase waves in asymmetric networks of noisy chaotic attractors. PHYSICAL REVIEW E. v. 94, p. 042210, issn: 24700045, 2016.
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20.   Pires, R. ; Gonçalves, D. ; Orue, J. ; Kanashiro, W. ; BRANDOLI, B. ; Gonçalves, W. ; Rodrigues Jr., Jose F.. Local descriptors for soybean disease recognition. Computers and Electronics in Agriculture. v. 125, p. 48-55, issn: 01681699, 2016.
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21.   Rodrigues, Francisco A.; PERON, THOMAS K. DM. ; JI, PENG ; KURTHS, JÜRGEN. The Kuramoto model in complex networks. Physics Reports. v. 610, p. 1-98, issn: 03701573, 2016.
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22.   RODRIGUES, JOSE F; PAULOVICH, FERNANDO V ; DE OLIVEIRA, MARIA CF ; DE OLIVEIRA, OSVALDO N. On the convergence of nanotechnology and Big Data analysis for computer-aided diagnosis. Nanomedicine. v. 11, p. 959-982, issn: 17435889, 2016.
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23.   SCHULTZ, PAUL ; PERON, THOMAS ; EROGLU, DENIZ ; STEMLER, THOMAS ; RAMÍREZ ÁVILA, GONZALO MARCELO ; Rodrigues, Francisco A. ; KURTHS, JÜRGEN. Tweaking synchronization by connectivity modifications. Physical Review E. v. 93, p. 062211, issn: 24700053, 2016.
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24.   SILVA, FILIPI N. ; COMIN, CÉSAR H. ; PERON, THOMAS K.DM. ; Rodrigues, Francisco A. ; YE, CHENG ; WILSON, RICHARD C. ; HANCOCK, EDWIN R. ; da F. Costa, Luciano. Concentric network symmetry. Information Sciences. v. 333, p. 61-80, issn: 00200255, 2016.
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25.   SILVA, JONATHAN DE ANDRADE ; Hruschka, Eduardo Raul. A Support System for Clustering Data Streams with a Variable Number of Clusters. ACM Transactions on Autonomous and Adaptive Systems. v. 11, p. 1-26, issn: 15564665, 2016.
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26.   SILVA, N. F. F. ; Coletta, L. F. S. ; Hruschka, E.R. ; HRUSCHKA JR., Estevam Rafael. Using unsupervised information to improve semi-supervised tweet sentiment classification. Information Sciences. v. 1, p. 1-15, issn: 00200255, 2016.
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27.   SILVA, NADIA FELIX F. DA ; COLETTA, LUIZ F. S. ; Hruschka, Eduardo R.. A Survey and Comparative Study of Tweet Sentiment Analysis via Semi-Supervised Learning. ACM Computing Surveys. v. 49, p. 1-26, issn: 03600300, 2016.
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28.   Swersky, L. ; Marques, H. O. ; Sander, J. ; Campello, Ricardo J.G.B. ; ZIMEK, A.. On the Evaluation of Outlier Detection and One-Class Classification Methods. Em: IEEE International Conference on Data Science and Advanced Analytics, p. 1-10, 2016.
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2015

1.   Arruda, M. ; BRANDOLI, B. ; Gonçalves, W. ; Dias, J. ; Cullen, L. ; Garcia, C. ; Rodrigues Jr., Jose F.. Thermal Image Segmentation in Studies of Wildlife Animals. Em: XI de Visão Computacional, 2015, Sao Carlos. Proceedings of XI Workshop de Visão Computacional. Sao Carlos: University of Sao Paulo, p. 204-209, 2015.
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2.   Bedo, Marcos Vinicius Naves ; de Oliveira, William Dener ; Cazzolato, Mirela Teixeira ; Ferraz Costa, Alceu ; BLANCO, GUSTAVO ; Rodrigues, Jose F. ; TRAINA, Agma J. M. ; TRAINA, CAETANO. Fire Detection from Social Media Images by Means of Instance-Based Learning. Lecture Notes in Business Information Processing. 1ed. Em: . : Springer International Publishing. 2015.p. 23-44.
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3.   Campello, Ricardo J.G.B.; Moulavi, D. ; ZIMEK, A. ; Sander, J.. Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection. ACM Transactions on Knowledge Discovery from Data. v. 10, p. 1-51, issn: 15564681, 2015.
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4.   CHINO, DANIEL Y. T. ; Avalhais, Letricia P. S. ; Rodrigues, Jose F. ; TRAINA, Agma J. M.. BoWFire: Detection of Fire in Still Images by Integrating Pixel Color and Texture Analysis. Em: 2015 28th SIBGRAPI Conference on Graphics, p. 95-102, 2015.
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5.   Coletta, L. F. S. ; Hruschka, E.R. ; Acharya, A. ; Ghosh, J.. A differential evolution algorithm to optimise the combination of classifier and cluster ensembles. International Journal of Bio-Inspired Computation (Online). v. 7, p. 111-124, issn: 17580374, 2015.
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6.   Coletta, L. F. S. ; Hruschka, E.R. ; Acharya, A. ; Ghosh, J.. Using metaheuristics to optimize the combination of classifier and cluster ensembles. Integrated Computer-Aided Engineering. v. 22, p. 229-242, issn: 10692509, 2015.
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7.   Corrêa, G. ; MARCACINI, R. M. ; Hruschka, E.R. ; REZENDE, S. O.. Interactive textual feature selection for consensus clustering. Pattern Recognition Letters. v. 52, p. 25-31, issn: 01678655, 2015.
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8.   de Arruda, Guilherme Ferraz ; COZZO, EMANUELE ; MORENO, YAMIR ; Rodrigues, Francisco A.. On degree-degree correlations in multilayer networks. Physica. D, Nonlinear Phenomena (Print). v. 1, p. 1, issn: 01672789, 2015.
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9.   de Arruda, Guilherme Ferraz ; LEBENSZTAYN, ELCIO ; Rodrigues, Francisco A. ; RODRÍGUEZ, PABLO MARTÍN. A process of rumour scotching on finite populations. Royal Society Open Science. v. 2, p. 150240, issn: 20545703, 2015.
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10.   FONTANARI, JOSÉ F. ; Rodrigues, Francisco A.. Influence of network topology on cooperative problem-solving systems. Theory in Biosciences. v. 1, p. 1-10, issn: 14317613, 2015.
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11.   GAZZIRO, M. ; BRAGA, C.F.R. ; MOREIRA, D.A. ; CARVALHO, A.C.P.L.F. ; Rodrigues, J.F. ; NAVARRO, J.S. ; ARDILA, J.C.M. ; MIONI, D.P. ; PESSATTI, M. ; FABBRO, P. ; FREEWIN, C. ; SADDOW, S.E.. Transmission of wireless neural signals through a 0.18µm CMOS low-power amplifier. Em: 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), p. 5094-5097, 2015.
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12.   GAZZIRO, M. ; Siqueira, W. ; Rodrigues Jr., Jose F.. Repasse: Ferramenta para Análise dos Repasses do Governo Federal para os Municípios. Em: I Congresso UFABC de Empreendedorismo, 2015, Santo André. Anais do I Congresso UFABC de Empreendedorismo. Santo André: InovaUFABC, v. 1, p. 148-155, 2015.
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13.   GIMENES, GABRIEL P. ; GUALDRON, HUGO ; Rodrigues, Jose F. ; GAZZIRO, MARIO. Multimodal graph-based analysis over the DBLP repository. Em: the 30th Annual ACM Symposium, p. 1129-1136, 2015.
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14.   GUALDRON, HUGO ; CORDEIRO, ROBSON L. F. ; Rodrigues, Jose F.. StructMatrix: Large-Scale Visualization of Graphs by Means of Structure Detection and Dense Matrices. Em: 2015 IEEE International Conference on Data Mining Workshop (ICDMW), p. 493-500, 2015.
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15.   HORTA, D. ; Campello, Ricardo J.G.B.. Comparing Hard and Overlapping Clusterings. Journal of Machine Learning Research. v. 16, p. 2949-2997, issn: 15324435, 2015.
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16.   Jaskowiak, P. A. ; Campello, Ricardo J.G.B.. A Cluster Based Hybrid Feature Selection Approach. Em: Brazilian Conference on Intelligent Systems, p. 43-48, 2015.
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17.   LINARES, OSCAR CUADROS ; BOTELHO, GLENDA ; RODRIGUES, FRANCISCO ; NETO, JOAO BATISTA. An Adjustable Error Measure for Image Segmentation Evaluation. Em: 2015 28th SIBGRAPI Conference on Graphics, p. 80, 2015.
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18.   MACHADO, Jeremias Barbosa ; Campello, Ricardo J.G.B. ; AMARAL, Wagner Caradori Do. Asymmetric Volterra Models Based on Ladder-Structured Generalized Orthonormal Basis Functions. IEEE Transactions on Automatic Control (Print). v. 60, p. 2879-2891, issn: 00189286, 2015.
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19.   Marques, H. O. ; Campello, Ricardo J.G.B. ; ZIMEK, A. ; Sander, J.. On the Internal Evaluation of Unsupervised Outlier Detection. Em: International Conference on Scientific and Statistical Database Management, p. 1-12, 2015.
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20.   MÉNDEZ-BERMÚDEZ, J. A. ; ALCAZAR-LÓPEZ, A. ; MARTÍNEZ-MENDOZA, A. J. ; Rodrigues, Francisco A. ; PERON, THOMAS K. DM.. Universality in the spectral and eigenfunction properties of random networks. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics (Print). v. 91, p. 032122, issn: 15393755, 2015.
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21.   Naldi, M. C. ; Campello, Ricardo J.G.B.. Comparison of distributed evolutionary k-means clustering algorithms. Neurocomputing (Amsterdam). v. 163, p. 78-93, issn: 09252312, 2015.
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22.   PERON, THOMAS K. DM. ; JI, PENG ; Rodrigues, Francisco A. ; KURTHS, JÜRGEN. Effects of assortative mixing in the second-order Kuramoto model. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics (Print). v. 91, p. 1, issn: 15393755, 2015.
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23.   SONNENSCHEIN, BERNARD ; PERON, THOMAS K. DM. ; Rodrigues, Francisco A. ; KURTHS, JÜRGEN ; SCHIMANSKY-GEIER, LUTZ. Collective dynamics in two populations of noisy oscillators with asymmetric interactions. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics (Print). v. 91, p. 062910, issn: 15393755, 2015.
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24.   T. CAZZOLATO, MIRELA ; TRAINA JR., Caetano ; F. COSTA, ALCEU ; J. M. TRAINA, AGMA ; V. N. BEDO, MARCOS ; BLANCO, GUSTAVO ; F. RODRIGUES JR., JOSE ; D. OLIVEIRA, WILLIAN. Techniques for Effective and Efficient Fire Detection from Social Media Images. Em: 17th International Conference on Enterprise Information Systems, v. 28, p. 34-45, 2015.
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25.   VIZINE PEREIRA, ANDRE LUIZ ; Hruschka, Eduardo Raul. Simultaneous co-clustering and learning to address the cold start problem in recommender systems. Knowledge-Based Systems. v. 82, p. 11-19, issn: 09507051, 2015.
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26.   YE, CHENG ; COMIN, CÉSAR H. ; PERON, THOMAS K. DM. ; SILVA, FILIPI N. ; Rodrigues, Francisco A. ; COSTA, Luciano da F. ; TORSELLO, ANDREA ; HANCOCK, EDWIN R.. Thermodynamic characterization of networks using graph polynomials. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics (Print). v. 92, p. 032810, issn: 15393755, 2015.
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27.   Zaina, Luciana A. M. ; Rodrigues Júnior, José F. ; do Amaral, Anderson R.. Social Tagging for e-Learning: An Approach Based on the Triplet of Learners, Learning Objects and Tags. Communications in Computer and Information Science. 1ed. Em: . : Springer International Publishing. 2015.v. 533, p. 104-115.
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2014

1.   Acharya, A. ; Hruschka, Eduardo R. ; Ghosh, J. ; Acharyya, S.. An Optimization Framework for Combining Ensembles of Classifiers and Clusterers with Applications to Nontransductive Semisupervised Learning and Transfer Learning. ACM Transactions on Knowledge Discovery from Data. v. 9, p. 1-35, issn: 15564681, 2014.
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2.   AMANCIO, DIEGO RAPHAEL ; COMIN, CESAR HENRIQUE ; CASANOVA, DALCIMAR ; TRAVIESO, Gonzalo ; BRUNO, ODEMIR MARTINEZ ; RODRIGUES, Francisco Aparecido ; da Fontoura Costa, Luciano. A Systematic Comparison of Supervised Classifiers. Plos One. v. 9, p. e94137, issn: 19326203, 2014.
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3.   Coletta, L. F. S. ; SILVA, N. F. F. ; Hruschka, E.R. ; HRUSCHKA JR., Estevam Rafael. Combining Classification and Clustering for Tweet Sentiment Analysis. Em: Bracis 2014, p. 210-215, 2014.
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4.   CONCEIÇÃO, KATIANE SILVA ; ULRICH, WERNER ; DINIZ, CARLOS ALBERTO RIBEIRO ; RODRIGUES, Francisco Aparecido ; ANDRADE, MARINHO GOMES DE. A Generalized Approach to the Modeling of the Species-Area Relationship. Plos One. v. 9, p. e105132, issn: 19326203, 2014.
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5.   DA SILVA, NÁDIA F.F. ; Hruschka, Eduardo R. ; Hruschka, Estevam R.. Tweet sentiment analysis with classifier ensembles. Decision Support Systems. v. 66, p. 170-179, issn: 01679236, 2014.
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6.   de Arruda, Guilherme Ferraz ; Barbieri, André Luiz ; RODRÍGUEZ, PABLO MARTÍN ; Rodrigues, Francisco A. ; MORENO, YAMIR ; Costa, Luciano da Fontoura. Role of centrality for the identification of influential spreaders in complex networks. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics (Print). v. 90, p. 1, issn: 15393755, 2014.
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7.   EROGLU, DENIZ ; PERON, THOMAS K. DM. ; MARWAN, NOBERT ; Rodrigues, Francisco A. ; COSTA, Luciano da F. ; SEBEK, MICHAEL ; KISS, ISTVÁN Z. ; KURTHS, JÜRGEN. Entropy of weighted recurrence plots. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics (Print). v. 90, p. 1, issn: 15393755, 2014.
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8.   GIMENES, GABRIEL P. ; GUALDRON, HUGO ; RADDO, THIAGO R. ; Rodrigues, Jose F.. Supervised-learning link recommendation in the DBLP co-authoring network. Em: 2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS), p. 563-569, 2014.
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9.   Gonzaga, A. ; MUDADU, M. A. ; HIGA, R. H. ; HRUSCHKA, E. R.. Mineração de dados para identificar atributos genéticos associados a características de interesse econômico à pecuária. Em: Arbex, W.; Martins, N. F.; Martins, M. F.. (Org.). Talking About Computing and Genomics - Modelos e Métodos Computacionais em Bioinformática. 1ed.Brasília. : Embrapa. 2014.v. 1, p. 41-70.
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10.   Guerra, P. C. ; Mizobe, R. ; Hruschka, E.R.. Estimativa de Demanda Potencial de Matrículas em Ensino Superior usando Dados Públicos e Múltiplos Modelos de Regressão. Em: II Symposium on Knowledge Discovery, Mining and Learning (KDMILE), 2014, São Carlos. Proceedings of the KDMILE, v. 1, p. 1-4, 2014.
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11.   HORTA, D. ; Campello, Ricardo J.G.B.. Similarity Measures for Comparing Biclusterings. IEEE/ACM Transactions on Computational Biology and Bioinformatics (Print). v. 11, p. 942-954, issn: 15455963, 2014.
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12.   Jaskowiak, P. A. ; Campello, Ricardo J.G.B. ; Costa Filho, I. G.. On the selection of appropriate distances for gene expression data clustering. BMC Bioinformatics. v. 15, p. S2-1-S2-17, issn: 14712105, 2014.
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13.   JI, PENG ; PERON, THOMAS K. D. M. ; Rodrigues, Francisco A. ; KURTHS, JÜRGEN. Low-dimensional behavior of Kuramoto model with inertia in complex networks. Scientific Reports. v. 4, p. 1, issn: 20452322, 2014.
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14.   JI, PENG ; PERON, THOMAS K. DM. ; Rodrigues, Francisco A. ; KURTHS, JÜRGEN. Analysis of cluster explosive synchronization in complex networks. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics (Print). v. 90, p. 1, issn: 15393755, 2014.
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15.   Li, J. ; Sander, J. ; Campello, Ricardo J.G.B. ; ZIMEK, A.. Active Learning Strategies for Semi-Supervised DBSCAN. Em: 27th Canadian Conference on Artificial Intelligence (AI), v. 8436, p. 179-190, 2014.
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16.   LIBARDI, R. M. ; TRAINA, Agma J. M. ; Rodrigues Jr., Jose F.. Design and Evaluation Case Study: Evaluating The Kinect Device In The Task of Natural Interaction In A Visualization System. International Journal of Human Computer Interaction. v. 5, p. 1-20, issn: 21801347, 2014.
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17.   MARCACINI, RICARDO MARCONDES ; DOMINGUES, MARCOS AURELIO ; Hruschka, Eduardo R. ; REZENDE, SOLANGE OLIVEIRA. Privileged Information for Hierarchical Document Clustering: A Metric Learning Approach. Em: 2014 22nd International Conference on Pattern Recognition (ICPR), p. 3636, 2014.
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18.   MELLO, MARCO AURELIO RIBEIRO ; RODRIGUES, Francisco Aparecido ; Costa, Luciano da Fontoura ; KISSLING, W. DANIEL ; 'EKERCIO'LU, ÇA'AN H. ; MARQUITTI, FLAVIA MARIA DARCIE ; KALKO, ELISABETH KLARA VIKTORIA. Keystone species in seed dispersal networks are mainly determined by dietary specialization. Oikos (Kobenhavn). v. 1, p. n/a-n/a, issn: 00301299, 2014.
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19.   Moulavi, D. ; Jaskowiak, P. A. ; Campello, Ricardo J.G.B. ; ZIMEK, A. ; Sander, J.. Density-Based Clustering Validation. Em: SIAM International Conference on Data Mining, p. 839-847, 2014.
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20.   Naldi, M. C. ; Campello, Ricardo J.G.B.. Evolutionary k-means for distributed data sets. Neurocomputing (Amsterdam). v. 127, p. 30-42, issn: 09252312, 2014.
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21.   PERON, T. K. D. ; COMIN, C. H. ; AMANCIO, D. R. ; da F. COSTA, L. ; Rodrigues, F. A. ; KURTHS, J.. Correlations between climate network and relief data. Nonlinear Processes in Geophysics Discussions. v. 1, p. 823-840, issn: 21985634, 2014.
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22.   Pourrajabi, M. ; Moulavi, D. ; Campello, Ricardo J.G.B. ; ZIMEK, A. ; Sander, J. ; GOEBEL, R.. Model Selection for Semi-Supervised Clustering. Em: International Conference on Extending Database Technology, p. 331-342, 2014.
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23.   QUILLE, ROSA V. E. ; TRAINA, CAETANO ; Rodrigues, Jose F.. Spectral analysis and text processing over the computer science literature. Em: the 29th Annual ACM Symposium, p. 653-657, 2014.
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24.   Rabbany, R. ; Takaffoli, M. ; Fagnan, J. ; ZAIANE, O. R. ; CAMPELLO, Ricardo José Gabrielli Barreto. Relative Validity Criteria for Community Mining Algorithms. Em: Reda S. Alhajj; Jon G. Rokne. (Org.). Encyclopedia of Social Network Analysis and Mining. 1ed. : Springer. 2014.p. 1562-1576.
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25.   ROQUE DO AMARAI, ANDERSON ; ZAINA, LUCIANA A M ; RODRIGUES, JOSE F ; DE AGUIAR, RENAN ; BARBOZA, MARCOS CAVALCANTE. The use of social tagging to support the cataloguing of learning objects. Em: 2014 IEEE Frontiers in Education Conference (FIE), p. 1-7, 2014.
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26.   ROQUE DO AMARAL, ANDERSON ; Zaina, Luciana A. M. ; Rodrigues, Jose F.. Cataloguing of learning objects using social tagging. Em: 2014 XL Latin American Computing Conference (CLEI), p. 1-9, 2014.
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27.   SILVA, N. F. F. ; Hruschka, E.R. ; Hruschka, Estevam R.. Biocom Usp: Tweet Sentiment Analysis with Adaptive Boosting Ensemble. Em: 8th International Workshop on Semantic Evaluation (SemEval 2014), v. 1, p. 129-134, 2014.
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28.   SONNENSCHEIN, BERNARD ; PERON, THOMAS K. DM. ; Rodrigues, Francisco A. ; KURTHS, JÜRGEN ; SCHIMANSKY-GEIER, LUTZ. Cooperative behavior between oscillatory and excitable units: the peculiar role of positive coupling-frequency correlations. The European Physical Journal. B, Condensed Matter Physics (Print). v. 87, p. 182, issn: 14346028, 2014.
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29.   VENDRAMIN, L. ; Naldi, M. C. ; Campello, Ricardo J.G.B.. Fuzzy Clustering Algorithms and Validity Indices for Distributed Data. Em: M. Emre Celebi. (Org.). Partitional Clustering Algorithms. 1ed. : Springer. 2014.p. 147-192.
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30.   ZIMEK, A. ; Campello, Ricardo J.G.B. ; Sander, J.. Ensembles for unsupervised outlier detection. SIGKDD Explorations. v. 15, p. 11-22, issn: 19310145, 2014.
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31.   ZIMEK, A. ; Campello, Ricardo J.G.B. ; Sander, J.. Data Perturbation for Outlier Detection Ensembles. Em: International Conference on Scientific and Statistical Database Management, p. 1-12, 2014.
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2013

1.   Acharya, A. ; Ghosh, J. ; Hruschka, E.R. ; SARWAR, B. ; RUVINI, J.. Probabilistic Combination of Classifier and Cluster Ensembles for Non-transductive Learning. Em: 2013 SIAM International Conference on Data Mining, v. 1, p. 288-297, 2013.
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2.   Acharya, A. ; Rawal, A. ; Hruschka, E.R. ; Mooney, R.. Using Both Latent and Supervised Shared Topics for Multitask Learning. Em: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2013), v. 8189, p. 369-384, 2013.
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3.   ARRUDA, G. F. ; DAL?MASOPERON, THOMAS KAUÊ ; ANDRADE, MARINHO GOMES ; ACHCAR, JORGE ALBERTO ; RODRIGUES, Francisco Aparecido. The Influence of Network Properties on the Synchronization of Kuramoto Oscillators Quantified by a Bayesian Regression Analysis. Journal of Statistical Physics. v. 152, p. 519-533, issn: 00224715, 2013.
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4.   Campello, Ricardo J.G.B.; Moulavi, D. ; Sander, J.. Density-Based Clustering based on Hierarchical Density Estimates. Em: Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), v. 7819, p. 161-173, 2013.
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5.   Campello, Ricardo J.G.B.; Moulavi, D. ; ZIMEK, A. ; Sander, J.. A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies. Data Mining and Knowledge Discovery. v. 27, p. 344-371, issn: 13845810, 2013.
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6.   COLETTA, LUIZ F.S. ; Hruschka, Eduardo R. ; ACHARYA, AYAN ; GHOSH, JOYDEEP. Towards the Use of Metaheuristics for Optimizing the Combination of Classifier and Cluster Ensembles. Em: 2013 BRICS Congress on Computational Intelligence 11th Brazilian Congress on Computational Intelligence (BRICSCCI CBIC), v. 1, p. 483-6, 2013.
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7.   COVOES, THIAGO F. ; Hruschka, Eduardo R.. Unsupervised learning of Gaussian Mixture Models: Evolutionary Create and Eliminate for Expectation Maximization algorithm. Em: 2013 IEEE Congress on Evolutionary Computation (CEC), p. 3206-8, 2013.
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8.   Covões, Thiago F. ; BARROS, R. C. ; SILVA, T. S. ; Hruschka, E.R. ; de Carvalho, A. C. P. L. F.. Hierarchical Bottom-Up Safe Semi-Supervised Support Vector Machines for Multi-Class Transductive Learning. Journal of Information and Data Management - JIDM. v. 4, p. 357-372, issn: 21787107, 2013.
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9.   Covões, Thiago F. ; Hruschka, E.R. ; Ghosh, J.. Competitive Learning With Pairwise Constraints. IEEE Transactions on Neural Networks. v. 24, p. 164-169, issn: 10459227, 2013.
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10.   Covões, Thiago F. ; Hruschka, E.R. ; Ghosh, J.. A study of K-Means-based algorithms for constrained clustering. Intelligent Data Analysis (Print). v. 17, p. 485-505, issn: 1088467X, 2013.
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11.   de Arruda, Guilherme Ferraz ; FONTOURA COSTA, LUCIANO DA ; SCHUBERT, DIRK ; Rodrigues, Francisco A.. Structure and dynamics of functional networks in child-onset schizophrenia. Clinical Neurophysiology. v. 1, p. 1, issn: 13882457, 2013.
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12.   Filipi N. Silva ; Rodrigues, Francisco A ; Osvaldo O. Novaes Jr. ; COSTA, Luciano da F.. Quantifying the interdisciplinarity of scientific journals and fields. Journal of Informatrics. v. 7, p. 469-477, issn: 17511577, 2013.
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13.   Forte, M. ; Souza, W. L. ; Silva, R. F. ; Prado, A. F. ; Rodrigues Jr., Jose F.. A Ubiquitous Reflective E-Portfolio Architecture. International Journal of Medical Informatics. v. 1, p. 1-12, issn: 13865056, 2013.
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14.   Jaskowiak, P. A. ; Campello, Ricardo J.G.B. ; Costa Filho, I. G.. Proximity Measures for Clustering Gene Expression Microarray Data: a Validation Methodology and a Comparative Analysis. IEEE/ACM Transactions on Computational Biology and Bioinformatics (Print). v. 10, p. 845-857, issn: 15455963, 2013.
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15.   JI, PENG ; PERON, THOMAS K. DM. ; MENCK, PETER J. ; Rodrigues, Francisco A. ; KURTHS, JÜRGEN. Cluster Explosive Synchronization in Complex Networks. Physical Review Letters (Print). v. 110, p. 218701, issn: 00319007, 2013.
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16.   LIMA, D. M. ; Rodrigues Jr., Jose F. ; TRAINA, Agma J. M.. Hierarchical graph techniques applied to Database Visualization. Em: 10th International Conference on Information Systems and Technology Management, v. 10, p. 1121-1139, 2013.
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17.   LIMA, DANIEL MARIO DE ; RODRIGUES, JOSE FERNANDO ; TRAINA, Agma Juci Machado. Graph-Based Relational Data Visualization. Em: 2013 17th International Conference on Information Visualisation, v. 17, p. 210-219, 2013.
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18.   MACHADO, Jeremias Barbosa ; Campello, Ricardo J.G.B. ; AMARAL, Wagner Caradori Do. Takagi-Sugeno Fuzzy Models in the Framework of Orthonormal Basis Functions. IEEE Transactions on Systems, Man and Cybernetics. Part B. Cybernetics. v. 43, p. 858-870, issn: 10834419, 2013.
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19.   Naldi, M. C. ; Campello, Ricardo J.G.B.. Distributed k-means Clustering with Low Transmission Cost. Em: Brazilian Conference on Intelligent Systems, p. 70-75, 2013.
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20.   Naldi, M. C. ; CARVALHO, A. C. P. L. F. ; Campello, Ricardo J.G.B.. Cluster Ensemble Selection Based On Relative Validity Indexes. Data Mining and Knowledge Discovery. v. 27, p. 259-289, issn: 13845810, 2013.
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21.   Nassif, L. F. ; HRUSCHKA, E. R.. Document Clustering for Forensic Analysis: An Approach for Improving Computer Inspection. IEEE Transactions on Information Forensics and Security. v. 8, p. 46-54, issn: 15566013, 2013.
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22.   PERON, THOMAS KAUÊ DAL'MASO ; Rodrigues, Francisco A. ; KURTHS, JÜRGEN. Synchronization in clustered random networks. Physical Review. E, Statistical, Nonlinear and Soft Matter Physics (Online). v. 87, p. 032807, issn: 15502376, 2013.
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23.   Rabbany, R. ; Takaffoli, M. ; Fagnan, J. ; ZAIANE, O. R. ; Campello, Ricardo J.G.B.. Communities validity: methodical evaluation of community mining algorithms. Social Network Analysis and Mining. v. 3, p. 1039-1062, issn: 18695450, 2013.
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24.   RIBEIRO, P. ; Rodrigues Jr., Jose F.. A força das redes sociais no mundo contemporâneo. Jornal Primeiro Página, São Carlos, SP, Brasil, 25 jun. 2013.
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25.   Rodrigues Jr., Jose F.; GAZZIRO, M. ; GONCALVES, N. ; NETO, O. ; FERNANDES, Y. ; GIMENES, A. ; ALEGRE, C. ; ASSIS, R.. Aleijadinho 3D: tecnologia na difusão e preservação do patrimônio cultural. Em: SIMP: Convenção do Patrimônio Imaterial: 10 anos depois, p. 45-52, 2013.
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26.   Rodrigues, J. F.; Hanghang Tong ; Jia-Yu Pan ; TRAINA, A. J. M. ; TRAINA, C. ; FALOUTSOS, C.. Large Graph Analysis in the GMine System. IEEE Transactions on Knowledge and Data Engineering (Print). v. 25, p. 106-118, issn: 10414347, 2013.
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27.   Rodrigues, Jose F.; CIRILO, CARLOS E. ; PRADO, ANTONIO F. ; Zaina, Luciana A. M.. Hierarchical visual filtering, pragmatic and epistemic actions for database visualization. Em: the 28th Annual ACM Symposium, p. 946-952, 2013.
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28.   Silva, J. A. ; HRUSCHKA, E. R.. An experimental study on the use of nearest neighbor-based imputation algorithms for classification tasks. Data & Knowledge Engineering. v. 84, p. 47-58, issn: 0169023X, 2013.
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29.   SILVA, JONATHAN A. ; FARIA, ELAINE R. ; BARROS, RODRIGO C. ; Hruschka, Eduardo R. ; CARVALHO, ANDRÉ C. P. L. F. DE ; GAMA, JOÃO. Data stream clustering. ACM Computing Surveys. v. 46, p. 1-31, issn: 03600300, 2013.
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30.   VENDRAMIN, L. ; Jaskowiak, P. A. ; Campello, Ricardo J.G.B.. On the Combination of Relative Clustering Validity Criteria. Em: International Conference on Scientific and Statistical Database Management, p. 1-12, 2013.
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31.   Vieira, J. G. V. ; Rodrigues Jr., Jose F. ; Hattori, R. H.. Colaboração logística entre cliente e fornecedor: uma aplicação de análise visual de dados. S & G. Sistemas & Gestão. v. 8, p. 2-18, issn: 19805160, 2013.
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32.   ZIMEK, A. ; Gaudet, M. ; Campello, Ricardo J.G.B. ; Sander, J.. Subsampling for Efficient and Effective Unsupervised Outlier Detection Ensembles. Em: ACM SIGKDD Conference on Knowledge Discovery and Data Mining, p. 428-436, 2013.
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2012

1.   Acharya, A. ; Hruschka, E.R. ; Ghosh, J. ; Acharyya, S.. Transfer Learning with Cluster Ensembles. Em: 2011 International Conference on Machine Learning (ICML) Workshop on Unsupervised and Transfer Learning, v. 27, p. 123-132, 2012.
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2.   AVALHAIS, L. P. S. ; Silva, S. F. ; Rodrigues Jr., J. F. ; TRAINA, A. J. M. ; TRAINA JR., C.. Feature space optimization for content-based image retrieval. Applied Computing Review. v. 12, p. 7-19, issn: 15596915, 2012.
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3.   Avalhais, Letricia P. S. ; da Silva, Sergio F. ; Rodrigues, Jose F. ; TRAINA, Agma J. M.. Image retrieval employing genetic dissimilarity weighting and feature space transformation functions. Em: the 27th Annual ACM Symposium, v. 1, p. 1012-1017, 2012.
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4.   Campello, Ricardo J.G.B.; Moulavi, D. ; Sander, J.. A Simpler and More Accurate AUTO-HDS Framework for Clustering and Visualization of Biological Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics (Print). v. 9, p. 1850-1852, issn: 15455963, 2012.
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5.   Cirilo, C. E. ; Prado, A. F. ; Souza, W. L. ; Zaina, Luciana A. M. ; Rodrigues Jr., J. F.. TOWARDS A HYBRID APPROACH FOR ADAPTING WEB GRAPHICAL USER INTERFACES TO HETEROGENEOUS DEVICES USING CONTEXT. International Journal of Software Engineering and Knowledge Engineering. v. 22, p. 769-800, issn: 02181940, 2012.
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6.   Coletta, L. F. S. ; VENDRAMIN, L. ; HRUSCHKA, Eduardo Raul ; Campello, Ricardo J.G.B. ; PEDRYCZ, W.. Collaborative Fuzzy Clustering Algorithms: Some Refinements and Design Guidelines. IEEE Transactions on Fuzzy Systems. v. 20, p. 444-462, issn: 10636706, 2012.
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7.   CUADROS, OSCAR ; BOTELHO, GLENDA ; RODRIGUES, FRANCISCO ; NETO, JOAO BATISTA. Segmentation of Large Images with Complex Networks. Em: 2012 XXV SIBGRAPI Conference on Graphics, p. 24, 2012.
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8.   de Gouveia, Lilian Tais ; DE ARRUDA, GUILHERME FERRAZ ; RODRIGUES, Francisco Aparecido ; SENGER, LUCIANO JOSE ; COSTA, L. da F.. Supervised Classification of Basaltic Aggregate Particles Based on Texture Properties. Journal of Computing in Civil Engineering. v. 1, p. 152, issn: 08873801, 2012.
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9.   Guilherme Ferraz de Arruda ; COSTA, Luciano da F. ; Rodrigues, F. A.. A complex networks approach for data clustering. Physica. A (Print). v. 391, p. 6174-6183, issn: 03784371, 2012.
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10.   HORTA, D. ; Campello, Ricardo J.G.B.. Automatic Aspect Discrimination in Data Clustering. Pattern Recognition. v. 45, p. 4370-4388, issn: 00313203, 2012.
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11.   Jaskowiak, P. A. ; Campello, Ricardo J.G.B. ; Costa Filho, I. G.. Evaluating Correlation Coefficients for Clustering Gene Expression Profiles of Cancer. Em: Brazilian Symposium on Bioinformatics (BSB), v. 7409, p. 120-131, 2012.
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12.   Kanda, J. ; Soares, C. ; HRUSCHKA, E. R. ; de Carvalho, A. C. P. L. F.. A Meta-Learning Approach to Select Meta-Heuristics for the Traveling Salesman Problem Using MLP-Based Label Ranking. Em: 19th International Conference on Neural Information Processing, v. 7665, p. 488-495, 2012.
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13.   MARCACINI, R. M. ; Hruschka, E.R. ; REZENDE, S. O.. On the Use of Consensus Clustering for Incremental Learning of Topic Hierarchies. Em: 21th Brazilian Symposium on Artificial Intelligence (SBIA 2012), v. 7589, p. 112-121, 2012.
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14.   Naldi, M. C. ; Campello, Ricardo J.G.B.. Combining Information from Distributed Evolutionary k-Means. Em: Simpósio Brasileiro de Redes Neurais, p. 43-48, 2012.
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15.   OLIVEIRA, Gustavo Henrique da Costa ; ROSA, Alex da ; CAMPELLO, Ricardo José Gabrielli Barreto ; MACHADO, Jeremias Barbosa ; AMARAL, Wagner Caradori Do. An Introduction to Models based on Laguerre, Kautz and other Related Orthonormal Functions. Part II: Nonlinear Models. International Journal of Modelling, Identification and Control (Print). v. 16, p. 1-14, issn: 17466172, 2012.
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16.   PERON, THOMAS KAUÊ DAL'MASO ; RODRIGUES, FRANCISCO. Determination of the critical coupling of explosive synchronization transitions in scale-free networks by mean-field approximations. Physical Review. E, Statistical, Nonlinear and Soft Matter Physics (Online). v. 86, p. 056108, issn: 15502376, 2012.
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17.   PERON, THOMAS KAUÊ DALMASO ; Rodrigues, F. A. ; RODRIGUES, FRANCISCO. Explosive synchronization enhanced by time-delayed coupling. Physical Review. E, Statistical, Nonlinear and Soft Matter Physics (Online). v. 86, p. 016102, issn: 15502376, 2012.
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18.   Rabbany, R. ; Takaffoli, M. ; Fagnan, J. ; ZAIANE, O. R. ; Campello, Ricardo J.G.B.. Relative Validity Criteria for Community Mining Algorithms. Em: IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, p. 258-265, 2012.
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19.   SESTARO, D. M. ; COVÕES, Thiago Ferreira ; Hruschka, E.R.. A Semi-Supervised Approach to Estimate the Number of Clusters per Class. Em: 2012 Brazilian Symposium on Neural Networks (SBRN 2012), v. 1, p. 73-78, 2012.
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20.   Silva, W. M. ; Rodrigues Jr., J. F. ; Traina, Agma J.M. ; Silva, S. F.. H-Metric: Characterizing Image Datasets via Homogenization Based on KNN-Queries. Data Science Journal. v. 10, p. 52-60, issn: 16831470, 2012.
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21.   Thomas K. M. Peron ; da Fontoura Costa, Luciano ; Rodrigues, Francisco A.. The structure and resilience of financial market networks. Chaos (Woodbury, N.Y.). v. 22, p. 013117, issn: 10541500, 2012.
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22.   Tzakos, Andreas G. ; Kontogianni, Vassiliki G. ; Tsoumani, Maria ; Kyriakou, Eleni ; Hwa, John ; Rodrigues, Francisco A. ; Tselepis, Alexandros D.. Exploration of the antiplatelet activity profile of betulinic acid on human platelets. Journal of Agricultural and Food Chemistry. v. 1, p. 120621140659004, issn: 00218561, 2012.
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23.   Zaina, Luciana A. M. ; Bressan, Graça ; Cardieri, Maria Angélica A. C. ; Rodrigues Jr., J. F.. e-LORS: Uma Abordagem para Recomendação de Objetos de Apren-dizagem. Revista Brasileira de Informática na Educação. v. 20, p. 4-16, issn: 14145685, 2012.
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*itens sem ano

1.   CAMPELLO, Ricardo ; José ; Gabrielli ; Barreto. ; A ; Fuzzy ; Extension ; of ; the ; Rand ; Index ; and ; Other ; Related ; Indexes ; for ; Clustering ; and ; Classification ; Assessment. ; Pattern ; Recognition ; Letters, v. ; 28, p. ; 833-841, 2007.. A Fuzzy Extension of the Rand Index and Other Related Indexes for Clustering and Classification Assessment. Pattern Recognition Letters. v. 28, issn: 01678655, 0.
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2.   CAMPELLO, Ricardo ; José ; Gabrielli ; Barreto. ; Generalized ; External ; Indexes ; for ; Comparing ; Data ; Partitions ; with ; Overlapping ; Categories. ; Pattern ; Recognition ; Letters, v. ; 31, p. ; 966-975, 2010.. Generalized External Indexes for Comparing Data Partitions with Overlapping Categories. Pattern Recognition Letters. v. 31, issn: 01678655, 0.
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3.   Rodrigues Jr., Jose F.. Review - Collaborative science workflows in SQL. ACM Computing Reviews, 03 fev. 2014.. . .
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4.   Rodrigues Jr., Jose F.. Review - CopyCatch: stopping group attacks by spotting lockstep behavior in social networks. ACM Computing Reviews, p. 1 - 1, 15 maio 2014.. . .
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5.   Rodrigues Jr., Jose F.. Review - GraphChi: large-scale graph computation on just a PC. ACM Computing Reviews, p. 1 - 1, 24 maio 2013.. . .
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6.   Rodrigues, Francisco ; A.. ; The ; impact ; of ; information ; spreading ; on ; disease ; dynamics. ; Physics ; of ; Life ; Reviews ; (Print), v. ; 15, p. ; 37-38, 2015.. The impact of information spreading on disease dynamics. Physics of Life Reviews (Print). v. 15, issn: 15710645, 0.
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7.   RODRIGUES, Francisco Aparecido. A complex networks approach to protein domain characterization. In: International Conference on Bioinformatics and Computational Biology, 2004, Angra dos Reis, 2004.. . 0.
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8.   RODRIGUES, Francisco Aparecido. Application of community identification methods for image segmentation. In: Dynamics on Complex Networks and Applications, 2006, Dresden. Dynamics on Complex Networks and Applications, 2006.. . 0.
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9.   Rodrigues, Jose. Review - PNUTS in flight: web-scale data serving at Yahoo. ACM Computing Reviews, p. 1 - 1, 27 mar. 2013.. . .
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(*) Report includes publications from 2012 to 9999
Last Updated: 15/12/2017 20:29:32