Publications

André Vignatti, Alane M. de Lima, Murilo V. G. da Silva (2021). A Deductive-Formal Derivation for the Preferential Attachment Metric for Link Prediction. In WPCCG 2021 - IV Workshop de Pesquisa em Computação dos Campos Gerais.

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André Vignatti, Alane M. Lima, Murilo V. G. Silva (2021). Percolation Centrality via Rademacher Complexity. In Discrete Applied Mathematics.

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André Vignatti, Fernando C. Erd, Murilo V. G. Silva (2021). The Generalized Influence Blocking Maximization Problem. In Social Network Analysis and Mining.

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André Vignatti, Alane M. Lima, Murilo V. G. Silva (2021). Problema APSP via Dimensão-VC e Médias de Rademacher. In ETC'21 - VI Encontro de Teoria da Computação.

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André Vignatti, Fernando C. Erd, Murilo V. G. da Silva (2020). Blocking the Spread of Misinformation in a Network under Distinct Cost Models. In ASONAM'20 - IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.

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André Vignatti, Renato S. Melo, Flávio K. Miyazawa, Matheus J. Ota (2020). Tighter Dual Bounds on the Least Cost Influence Problem. In SBPO'20 - LII Brazilian Symposium of Operational Research.

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André Vignatti, Renato S. Melo (2020). Preprocessing Rules for Target Set Selection in Complex Networks. In BRASNAM'20 - IX Brazilian Workshop on Social Network Analysis and Mining.

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André Vignatti, Alane M. de Lima, Murilo V. G. da Silva (2020). Estimating the Percolation Centrality of Large Networks through Pseudo-dimension Theory. In ACM SIGKDD'20 - International Conference on Knowledge Discovery & Data Mining.

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André Vignatti, Nicollas M. Sdroievski, Murilo V. G. da Silva (2019). The Hidden Subgroup Problem and MKTP. Theoretical Computer Science Vol. 795, p. 204-212 (also on ECCC - Electronic Colloquium on Computational Complexity).

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André Vignatti, Alane M. de Lima, Giovanne M. Santos, Murilo V. G. da Silva (2019). Estimando Centralidade de Percolação utilizando Amostragem e Teoria da Dimensão Vapnik-Chervonenkis. In WPCCG 2019 - III Workshop de Pesquisa em Computação dos Campos Gerais.

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André Vignatti, Alane M. de Lima, Murilo V. G. da Silva (2019). Recognizing Power-law Graphs by Machine Learning Algorithms using a Reduced Set of Structural Features. In SBC ENIAC'19 - XVI National Meeting on Artificial and Computational Intelligence.

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André Vignatti, Bruno H. Labres (2018). Características Topológicas de Redes do Mundo Real. In EVINCI'18 - XXVI Evento de Iniciação Científica da Universidade Federal do Paraná.

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André Vignatti, Renato S. Melo (2018). A preselection algorithm for the influence maximization problem in power law graphs. In ACM SAC'18 - 33rd Annual ACM Symposium on Applied Computing.

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André Vignatti, Camile F. Bordini (2017). An Approximation Algorithm for the p-Hub Median Problem. In LAGOS'17 – IX Latin and American Algorithms, Graphs and Optimization (Electronic Notes in Discrete Mathematics Vol. 62, p. 183-188).

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André Vignatti, Renato S. Melo, Arthur P. Costa, Felipe Nascimento (2017). Participação Feminina no Cinema Brasileiro: Análise Através de Redes Sociais. In WPCCG 2017 - II Workshop de Pesquisa em Computação dos Campos Gerais.

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André Vignatti, Murilo V. G. da Silva (2016). Minimum Vertex Cover in Generalized Random Graphs with Power Law Degree Distribution. Theoretical Computer Science, Vol. 647, p. 101-111.

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André Vignatti, Edgar O. Cabral Filho, Mariana O. da Silva (2015). Utilização de Regras de Redução em Grafos Power Law: Problema da Cobertura por Vértices. In VI Escola Regional de Informática da SBC - Mato Grosso.

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André Vignatti, Santiago Viertel (2015). Programação matemática e imersões métricas para aproximações em problemas de corte. *Revista de Informática Teórica e Aplicada, Vol 22, No. 1.

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André Vignatti, Flávio K. Miyazawa, Luiz F. Bittencourt (2012). Distributed Load Balancing Algorithms for Heterogeneous Players in Asynchronous Networks. Journal of Universal Computer Science, Vol. 18, No. 20, p. 2771–2797.

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André Vignatti, Tiago Vignatti, Everton F. R. Seára, Marcos S. Sunye, Luis C. E. Bona, Anne Doucet (2012). Extending OAI-PMH over structured P2P networks for digital preservation. International Journal on Digital Libraries, Vol 12, p. 13–26.

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André Vignatti, Flávio K. Miyazawa (2011). Bounds on the Convergence Time of Distributed Selfish Bin Packing. International Journal of Foundations of Computer Science Vol. 22, No. 03, p. 565-582.

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André Vignatti, Flávio K. Miyazawa (2009). Convergence Time to Nash Equilibrium in Selfish Bin Packing. In LAGOS'09 – V Latin-American Algorithms, Graphs and Optimization Symposium (Electronic Notes in Discrete Mathematics, 35, p. 151 - 156).

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André Vignatti, Tiago Vignatti, Luís C. E. Bona, Marcos S. Sunye (2009). Long-term digital archiving based on selection of repositories over P2P networks. In IEEE P2P'09 - International Conference on Peer-to-Peer Computing.

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André Vignatti, Flávio K. Miyazawa (2009). Distributed Selfish Bin Packing. In IEEE IPDPS'09 - International Symposium on Parallel & Distributed Processing.

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André Vignatti, Tiago Vignatti, Luiz C. E. Bona, Marcos S. Sunye (2009). Arquivamento Digital a Longo Prazo Baseado em Selecao de Repositorios em Redes Peer-to-Peer. In SBC WP2P'09 - Workshop de Redes Dinâmicas e Sistemas P2P.

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