Renato Vimieiro

Pós-doutorado

Formação complementar

Idiomas

Áreas de atuação

Organização de eventos

Participação em eventos

Participação em bancas

Orientou

Produções bibliográficas

• BRUM, PEDRO ; CÂNDIDO TEIXEIRA, MATHEUS ; Vimieiro, Renato ; ARAÚJO, ERIC ; MEIRA JR, WAGNER ; LOBO PAPPA, GISELE . Political polarization on Twitter during the COVID-19 pandemic: a case study in Brazil. SOCIAL NETWORK ANALYSIS AND MINING , v. 12, p. 140, 2022.

• LUCAS, TARC?SIO ; SILVA, T?LIO C.P.B. ; Vimieiro, Renato ; LUDERMIR, TERESA B. . A new evolutionary algorithm for mining top- k discriminative patterns in high dimensional data. APPLIED SOFT COMPUTING , v. 59, p. 487-499, 2017.

• MILIOLI, HELOISA H. ; Vimieiro, Renato ; TISHCHENKO, INNA ; RIVEROS, CARLOS ; BERRETTA, REGINA ; MOSCATO, PABLO . Iteratively refining breast cancer intrinsic subtypes in the METABRIC dataset. Biodata Mining , v. 9, p. 2, 2016.

• MILIOLI, HELOISA HELENA ; Vimieiro, Renato ; RIVEROS, CARLOS ; TISHCHENKO, INNA ; BERRETTA, REGINA ; MOSCATO, PABLO . The Discovery of Novel Biomarkers Improves Breast Cancer Intrinsic Subtype Prediction and Reconciles the Labels in the METABRIC Data Set. Plos One , v. 10, p. e0129711, 2015.

• VIMIEIRO, RENATO ; MOSCATO, PABLO . A new method for mining disjunctive emerging patterns in high-dimensional datasets using hypergraphs. Information Systems (Oxford) , v. 40, p. 1-10, 2014.

• AREFIN, AHMED SHAMSUL ; VIMIEIRO, RENATO ; RIVEROS, CARLOS ; CRAIG, HUGH ; MOSCATO, PABLO . An Information Theoretic Clustering Approach for Unveiling Authorship Affinities in Shakespearean Era Plays and Poems. Plos One , v. 9, p. e111445, 2014.

• VIMIEIRO, R. ; MOSCATO, P. . Disclosed: An efficient depth-first, top-down algorithm for mining disjunctive closed itemsets in high-dimensional data. Information Sciences , v. 280, p. 171-187, 2014.

• DENHAM, JAMES W NOWITZ, MICHAEL JOSEPH, DAVID DUCHESNE, GILLIAN SPRY, NIGEL A LAMB, DAVID S MATTHEWS, JOHN TURNER, SANDRA ATKINSON, CHRIS TAI, KEEN-HUN GOGNA, NIRDOSH KUMAR KENNY, LIZBETH DIAMOND, TERRY SMART, RICHARD ROWAN, DAVID MOSCATO, PABLO VIMIEIRO, RENATO WOODFIELD, RICHARD LYNCH, KEVIN DELAHUNT, BRETT MURRAY, JUDY D'ESTE, CATE MCELDUFF, PATRICK STEIGLER, ALLISON KAUTTO, ALLISON , et al. BALL, JEAN ; Impact of androgen suppression and zoledronic acid on bone mineral density and fractures in the trog 0304 radar randomised controlled trial for locally advanced prostate cancer. BJU International (Print) , v. ., p. n/a-n/a, 2013.

• VIMIEIRO, RENATO ; MOSCATO, PABLO . Mining disjunctive minimal generators with TitanicOR. Expert Systems with Applications , v. 39, p. 8228-8238, 2012.

• RIVEROS, CARLOS ; Vimieiro, Renato ; Holliday, Elizabeth G. ; Oldmeadow, Christopher ; Wang, Jie Jin ; Mitchell, Paul ; Attia, John ; Scott, Rodney J. ; Moscato, Pablo A. . Identification of Genome-Wide SNP-SNP and SNP-Clinical Boolean Interactions in Age-Related Macular Degeneration. In: Moore, Jason H.; Williams, Scott M.. (Org.). Methods in Molecular Biology. 1ed.: Springer New York, 2015, v. 1253, p. 217-255.

• SOUZA, CINTHIA M. ; MEIRELES, MAGALI R. G. ; Vimieiro, Renato . A multi-view extractive text summarization approach for long scientific articles. In: 2022 International Joint Conference on Neural Networks (IJCNN), 2022, Padua. 2022 International Joint Conference on Neural Networks (IJCNN), 2022. p. 01.

• GONCALVES, LUIS ; Vimieiro, Renato . Approaching authorship attribution as a multi-view supervised learning task. In: 2021 International Joint Conference on Neural Networks (IJCNN), 2021, Shenzhen. 2021 International Joint Conference on Neural Networks (IJCNN), 2021. p. 1.

• SOUZA, C. M. ; VIMIEIRO, R. . A Long Texts Summarization Approach to Scientific Articles. In: SIMPÓSIO BRASILEIRO DE TECNOLOGIA DA INFORMAÇÃO E DA LINGUAGEM HUMANA (STIL), 2021, online. Anais do XIII Simpósio Brasileiro de Tecnologia da Informação e da Linguagem Humana. Porto Alegre: SBC, 2021. p. 182-189.

• Mattos, Juliana Barcellos ; SILVA, ERAYLSON ; MATTOS NETO, PAULO ; Vimieiro, Renato . Clinical risk factors of ICU & fatal COVID-19 cases in Brazil. In: Symposium on Knowledge Discovery, Mining and Learning, 2020, Brasil. Anais do Symposium on Knowledge Discovery, Mining and Learning (KDMiLe 2020), 2020. p. 33.

• BRUM, PEDRO V. ; TEIXEIRA, MATHEUS C. ; MIRANDA, RENATO ; Vimieiro, Renato ; MEIRA JR, WAGNER ; PAPPA, GISELE L. . A Characterization of Portuguese Tweets Regarding the Covid-19 Pandemic. In: Symposium on Knowledge Discovery, Mining and Learning, 2020, Brasil. Anais do Symposium on Knowledge Discovery, Mining and Learning (KDMiLe 2020), 2020. p. 177.

• Mattos, Juliana Barcellos ; Silva, Eraylson G. ; MATTOS NETO, P. S. G. ; VIMIEIRO, R. . Exceptional Survival Model Mining. In: 2020 Brazilian Conference on Intelligent Systems (BRACIS), 2020, Rio Grande. Proc of the 2020 Brazilian Conference on Intelligent Systems, 2020. v. 12320. p. 307-321.

• DUQUE, ANDREA B. ; DE CARVALHO, FRANCISCO DE A. T. ; Vimieiro, Renato . A Multiview Clustering Approach for Mining Authorial Affinities in Literary Texts. In: 2019 8th Brazilian Conference on Intelligent Systems (BRACIS), 2019, Salvador. 2019 8th Brazilian Conference on Intelligent Systems (BRACIS), 2019. p. 818.

• LUCAS, TARCISIO ; GOMES, JOAO ; Vimieiro, Renato ; PRUDENCIO, RICARDO ; LUDERMIR, TERESA . A Multivariate Method for Group Profiling Using Subgroup Discovery. In: 2019 8th Brazilian Conference on Intelligent Systems (BRACIS), 2019, Salvador. 2019 8th Brazilian Conference on Intelligent Systems (BRACIS), 2019. p. 371.

• LUCAS, TARCSIO ; Vimieiro, Renato ; LUDERMIR, TERESA . SSDP+: A Diverse and More Informative Subgroup Discovery Approach for High Dimensional Data. In: 2018 IEEE Congress on Evolutionary Computation (CEC), 2018, Rio de Janeiro. 2018 IEEE Congress on Evolutionary Computation (CEC), 2018. p. 1.

• DE ALBUQUERQUE TORREAO, VITOR ; Vimieiro, Renato . Effects of Population Initialization on Evolutionary Techniques for Subgroup Discovery in High Dimensional Datasets. In: 2018 7th Brazilian Conference on Intelligent Systems (BRACIS), 2018, Sao Paulo. 2018 7th Brazilian Conference on Intelligent Systems (BRACIS), 2018. p. 25.

• SANTOS, M. A. S. ; VIMIEIRO, R. . A quantitative comparison of exhaustive discriminative pattern mining algorithms. In: Encontro Nacional de Inteligência Artificial e Computacional, 2017, Uberlândia. Anais do 14o. Encontro Nacional de Inteligência Artificial e Computacional, 2017.

• PONTES, TARCISIO ; Vimieiro, Renato ; LUDERMIR, TERESA BERNARDA . SSDP: A Simple Evolutionary Approach for Top-K Discriminative Patterns in High Dimensional Databases. In: 2016 5th Brazilian Conference on Intelligent Systems (BRACIS), 2016, Recife. 2016 5th Brazilian Conference on Intelligent Systems (BRACIS), 2016. p. 361.

• VIMIEIRO, R. ; VIEIRA, N. J. . Uma análise de algoritmos para extração de regras de associação usando Análise Formal de Conceitos. In: III Workshop em Algoritmos e Aplicações de Mineração de Dados, 2007, João Pessoa. WAAMD2007- III Workshop em Algoritmos e Aplicações de Mineração de Dados, 2007. p. 31-38.

• ZARATE, L. ; SONG, M. ; ALVAREZ, A. ; SOARES, B. ; NOGUEIRA, B. ; VIMIEIRO, R. ; DIAS, S. ; SANTOS, T. ; VIEIRA, N. . An Approach to Knowledge Extraction From ANN Through Formal Concept Analysis Computational Tool Proposal: SOPHIANN. In: 2006 IEEE International Symposium on Industrial Electronics, 2006, Montreal. 2006 IEEE International Symposium on Industrial Electronics, 2006. v. 1. p. 43-48.

• ZARATE, L. ; VIMIEIRO, R. ; VIEIRA, N. . Reasoning Based on Rules Extracted from Trained Neural Networks via Formal Concept Analysis. In: 2006 IEEE International Conference on Engineering of Intelligent Systems, 2006, Islamabad. 2006 IEEE International Conference on Engineering of Intelligent Systems. p. 1-6.

• VIMIEIRO, R. ; ZARATE, L.E. ; PEREIRA, E.M.D. ; DINIZ, A.S.C. . Reduction of the entries number of the training set for ANN through formal concept analysis and its application to solar energy systems. In: Proceedings of the 2005 IEEE MidnightSummer Workshop on Soft Computing in Industrial Applications, 2005. SMCia/05., 2005, Espoo. Proceedings of the 2005 IEEE Midnight-Summer Workshop on Soft Computing in Industrial Applications, 2005. SMCia/05.. p. 154-159.

• VIMIEIRO, R. ; ZARATE, L.E. ; PEREIRA, E.M.D. ; VIEIRA, N.J. . Using the nextclosure algorithm to extract rules from trained neural networks - application in solar energy systems. In: Proceedings of the 2005 IEEE MidnightSummer Workshop on Soft Computing in Industrial Applications, 2005. SMCia/05., 2005, Espoo. Proceedings of the 2005 IEEE Midnight-Summer Workshop on Soft Computing in Industrial Applications, 2005. SMCia/05.. p. 184-189.

• PEREIRA, E. M. D. ; ZARATE, L. E. ; VIMIEIRO, R. ; DINIZ, A. S. C. . Representation of solar collectors via neural networks with reduction of the training set number. In: 18th International Congress of Mechanical Engineering (COBEM), 2005, Ouro Preto. Proceedings of COBEM 2005, 2005.

• ZARATE, L. E. ; PEREIRA, E. M. D. ; VIMIEIRO, R. ; SILVA, J. P. D. ; DINIZ, A. S. C. . Neural Representation of a Solar Collector with Statistical Optimization of The Training Sets. In: IEA/AIE, ACM 17th International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems, 2004, Ottawa. Lecture Notes in Computer Science (LNCS), 2004. v. 3029. p. 87-96.

• ZARATE, L. E. ; PEREIRA, E. M. D. ; VIMIEIRO, R. ; SILVA, J. P. D. ; SOARES, D. A. ; DINIZ, A. S. C. . Optimization of Neural Networks Training Sets Via Clustering: Applications in Solar Colector Represntation. In: ICEIS/2004, ACM, AAAI, 6th International Conference on Enterprise Information Systems, 2004, Porto. Proceedings of the 6th International Conference on Enterprise Information Systems, 2004.

• MACHADO NETO, L. V. B. ; ZARATE, L. E. ; SOARES, D. A. ; VIMIEIRO, R. ; DINIZ, A. S. C. . Representation of Curves Current-Voltage of Photovoltaic Modules via Artificial Neural Network. In: Eighth IASTED International Conference on Artificial Intelligence and Soft Computing, 2004, Marbella. Proceedings of Eighth IASTED International Conference on Artificial Intelligence and Soft Computing. Calgary: ACTA Press, 2004. p. 266-271.

• ZARATE, L. E. ; PEREIRA, E. M. D. ; VIMIEIRO, R. ; SOARES, D. A. ; DINIZ, A. S. C. . Sensitivity Analysis Obtained Through Artificial Neural Networks - Application in Solar Energy Systems. In: 8th IASTED Conference on Artificial Intelligence and Soft Computing, 2004, Marbella. Proceedings of the Eighth IASTED Conference on Artificial Intelligence and Soft Computing. Calgary: ACTA Press, 2004. p. 289-293.

• VIMIEIRO, R. ; ZARATE, L. E. ; SILVA, J. P. D. ; PEREIRA, E. M. D. ; DINIZ, A. S. C. . Rule Extraction from Trained Neural Networks via Formal Concept Analysis. In: 8th IASTED Conference on Artificial Intelligence and Soft Computing, 2004, Marbella. Proceedings of the Eighth IASTED Conference on Artificial Intelligence and Soft Computing. Calgary: ACTA Press, 2004. p. 334-339.

• ZARATE, L. E. ; PEREIRA, E. M. D. ; VIMIEIRO, R. ; SILVA, J. P. D. ; PIRES, S. ; DINIZ, A. S. C. . Representation of a Solar Collector via Artificial Neural Networks. In: IASTED Conference on Artificial Intelligence and Applications, 2003, Benalmádena. Artificial Intelligence and Applications. Zurich: ACTA Press, 2003. p. 517-522.

• MILIOLI, H. H. Z. ; VIMIEIRO, RENATO ; RIVEROS, C. ; BERRETTA, R. E. ; SAKOFF, J. ; MOSCATO, P. . Breast Cancer Subtypes Individuation Driving Novel Drug Targets For Tailored Therapies. In: Translational Cancer Research Conference, 2013, Newcastle, NSW, Austrália. Translational Cancer Research Conference, 2013.

• VIMIEIRO, A. C. S. C. ; VIMIEIRO, RENATO . Manual and automatic media frame analysis: a mixed-method proposal for analyzing large corpora. In: RC33 Eighth International Conference on Social Science Methodology, 2012, Sidney, NSW. Archives of RC33 Eighth International Conference on Social Science Methodology, 2012.

• VIMIEIRO, RENATO ; RIVEROS, C. ; MOSCATO, P. . A new method for mining contrast patterns in age-related macular degeneration. 2012. (Apresentação de Trabalho/Congresso).

• VIMIEIRO, R. . Frequent itemset mining. 2009. (Apresentação de Trabalho/Seminário).

• VIMIEIRO, R. ; ZARATE, L. E. ; SILVA, J. P. D. ; PEREIRA, E. M. D. ; DINIZ, A. S. C. . Rule Extraction from Trained Neural Networks via Formal Concept Analysis - 8th IASTED/ASC. 2004. (Apresentação de Trabalho/Conferência ou palestra).

• MACHADO NETO, L. V. B. ; ZARATE, L. E. ; SOARES, D. A. ; VIMIEIRO, R. ; DINIZ, A. S. C. . Representation of Curves Current-Voltage of Photovoltaic Modules via Artificial Neural Network - 8th IASTED/ASC. 2004. (Apresentação de Trabalho/Conferência ou palestra).

• ZARATE, L. E. ; PEREIRA, E. M. D. ; VIMIEIRO, R. ; SOARES, D. A. ; DINIZ, A. S. C. . Sensitivity Analysis Obtained Through Artificial Neural Networks - Application in Solar Energy Systems. 2004. (Apresentação de Trabalho/Conferência ou palestra).

Outras produções

Projetos de pesquisa

• 2020 - 2023

  Programa de Capacidades Analíticas do Ministério Público do Estado de Minas Gerais - MPMG, Descrição: Consultoria técnica especializada para prestação de serviços de pesquisa e desenvolvimento na área da Inteligência Artificial Aplicada e soluções de Big Data, vinculada ao escopo do Programa de Capacidades Analíticas do MPMG, incluindo transferência de conhecimento.. , Situação: Concluído; Natureza: Pesquisa. , Alunos envolvidos: Graduação: (1) / Mestrado acadêmico: (1) / Doutorado: (1) . , Integrantes: Renato Vimieiro - Integrante / MEIRA JR, WAGNER - Coordenador / Loïc Cerf - Integrante.

• 2019 - 2022

  Investigação do uso de computação evolucionária para mineração de padrões discriminativos em bases de dados de alta dimensionalidade, Descrição: CNPq. Universal. O objetivo principal deste projeto é investigar e desenvolver algoritmos baseados em computação evolucionária para mineração de padrões discriminativos em bases de dados de alta dimensionalidade. O uso de computação evolucionária para mineração de regras de classificação é algo bastante estudado na literatura. Contudo, existem poucas abordagens evolucionárias para mineração de padrões discriminativos, sendo o número de abordagens capazes de lidar com alta dimensionalidade ainda menor. Esse fato contraria alguns autores que sugerem a possibilidade de aplicar os algoritmos existentes em dados de biomédicos. Entendendo que a aplicação em bioinformática é de importância tanto social quanto científica, o objetivo central será desenvolver métodos que permitam tal utilização.. , Situação: Concluído; Natureza: Pesquisa. , Alunos envolvidos: Graduação: (2) / Mestrado acadêmico: (3) . , Integrantes: Renato Vimieiro - Coordenador., Financiador(es): Conselho Nacional de Desenvolvimento Científico e Tecnológico - Auxílio financeiro., Número de produções C, T & A: 2

• 2016 - 2019

  On the development of a new method for analyzing multi-source biomedical data using multi-view clustering and pattern mining, Descrição: The ultimate goal of this project is to investigate and develop a new methodology for the analysis of multi-source biomedical data by the combination of multi-view clustering and pattern mining techniques.. , Situação: Concluído; Natureza: Pesquisa. , Alunos envolvidos: Mestrado acadêmico: (1) Doutorado: (2) . , Integrantes: Renato Vimieiro - Coordenador / Francisco de Assis Tenorio de Carvalho - Integrante / Sergio Ricardo de Melo Queiroz - Integrante / Amedeo Napoli - Integrante / Teresa Bernarda Ludermir - Integrante., Financiador(es): Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco - Auxílio financeiro., Número de produções C, T & A: 12

• 2014 - 2019

  Mineração de padrões discriminativos em grandes volumes de dados biomédicos, Descrição: O projeto de pesquisa proposto nesse documento discute novas abordagens para o descobrimento de padrões discriminativos em grandes volumes de dados biomédicos. Padrões discriminativos são conjuntos de (ou expressões lógicas envolvendo) variáveis em uma base de dados que são muito relacionados (frequentes) em uma classe e pouco relacionados (infrequente) nas demais. Nosso interesse nesse projeto é investigar novas abordagens que possibilitem a identificação de padrões relacionados a doenças. Nossa proposta é desenvolver métodos com o intuito específico de minerar padrões discriminativos em conjuntos de dados de alta dimensionalidade, usando para isso técnicas evolutivas. Propomos ainda a investigação da paralelização desses novos métodos, sobretudo com o uso de novas arquiteturas computacionais como GPUs e MapReduce.. , Situação: Concluído; Natureza: Pesquisa. , Alunos envolvidos: Graduação: (2) / Mestrado acadêmico: (2) / Mestrado profissional: (1) / Doutorado: (1) . , Integrantes: Renato Vimieiro - Coordenador / Carlos Riveros - Integrante / Teresa Bernarda Ludermir - Integrante., Financiador(es): Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco - Auxílio financeiro., Número de produções C, T & A: 11

• 2014 - 2016

  Formal Concept Analysis as a Support for Knowledge Discovery, Descrição: In this project, we are interested in the use of Formal Concept Analysis (FCA) for Knowledge Discovery in Databases (KDD). Knowledge Discovery (KD) is a process aimed at extracting from large databases units that can be interpreted and reused by human and software agents. From an operational point of view, this process is based on three main steps: (i) selection and preparation of the data, (ii) data mining, (iii) interpretation (and possibly formalization) of the extracted units. Data mining methods can be either symbolic or numerical. In this research project, we focus on symbolic methods which are mainly based in our case on frequent itemsets search, association rule extraction, Formal Concept Analysis (FCA) and variations such as Relational Concept Analysis (RCA) and Pattern Structures.. , Situação: Concluído; Natureza: Pesquisa. , Integrantes: Renato Vimieiro - Integrante / Francisco de Assis Tenorio de Carvalho - Coordenador / Sergio Ricardo de Melo Queiroz - Integrante / Amedeo Napoli - Integrante., Financiador(es): Conselho Nacional de Desenvolvimento Científico e Tecnológico - Auxílio financeiro.

• 2011 - 2014

  Assessment of rectal and urinary toxicity from the RADAR prostate radiotherapy trial -- dosimetric constraints for novel symptom clustering, derivation of radiobiological parameters and assessment of patient localisation effects, Descrição: Increasing prostate radiotherapy cure rates by increasing radiation dose is limited by side-effects in the rectum and bladder which can greatly decrease patient quality of life. This study will utilise detailed data, collected during a large Australasian trial, to extract information on how patterns of dose delivery influence side-effects in the bladder and rectum, including a novel definition of rectal toxicity. The result will be more effective future treatment.. , Situação: Concluído; Natureza: Pesquisa. , Integrantes: Renato Vimieiro - Integrante / Pablo Moscato - Integrante / Martin Ebert - Coordenador / David Joseph - Integrante / Kerwyn Foo - Integrante / Annette Haworth - Integrante / Martin Carolan - Integrante / James Denham - Integrante., Financiador(es): National Health and Medical Research Council - Auxílio financeiro.

• 2011 - 2011

  A clinical trial to determine value of hormone and bone mineral density therapy in patients receiving radiotherapy in early stage prostate cancer, Descrição: Prostate cancer depends for its growth on the male hormone, testosterone, which circulates in the blood. As a result treatment which reduces testosterone level ('androgen deprivation'[AD] therapy) can produce clinically important shrinkage of prostate cancer. Each year approximately 4000 men in Australia and New Zealand develop prostate cancer which has not spread widely and which is amenable to attempted cure by surgery or radiation. Results from recent trials, including a large trial run in Australia and New Zealand by the Trans-Tasman Radiation Oncology Group (TROG) between 1996 and 2000, suggest that 6 months AD will benefit many of these men if administered in conjunction with radiotherapy.The aim of this project is to run a further trial to find out whether 12 months of AD, after radiotherapy will prevent the need for further treatment and prolong more lives than only 6 months AD. Bisphosphonate treatment also offers important benefits to prostate cancer patients because it can increase bony stregth by increasing its density and can also arrest cancerous growth in bones. A further aim of the trial therefore is to determine whether 18 months of bisphosphonate therapy (BP) will prevent bone loss (osteoporosis) caused by AD, and also further reduce the risk of secondary bone cancer developing. This trial will involve recruitment of 1000 men across Australia and New Zealand over a 5 year period. When complete the trial will determine whether further treatment can be delayed and life prolonged in up to half of all men in whom treatment presently fails. This grant will support collection of patient data and the necessary quality checks to ensure that reliable conclusions can be drawn.. , Situação: Concluído; Natureza: Pesquisa. , Integrantes: Renato Vimieiro - Coordenador / Pablo Moscato - Integrante / David Joseph - Integrante / James Denham - Integrante / Michael Nowitz - Integrante / Gillian Duchesne - Integrante / Nigel Spry - Integrante / David Lamb - Integrante / John Matthews - Integrante / Sandra Turner - Integrante / Chris Atkinson - Integrante / Keen-Hun Tai - Integrante / Nirdosh Gogna - Integrante / Lizbeth Kenny - Integrante / Terry Diamond - Integrante / Richard Smart - Integrante / David Rowan - Integrante / Kevin Lynch - Integrante / Brett Delahunt - Integrante / Judy Murray - Integrante / Cate D'Este - Integrante / Patrick McElduff - Integrante / Allison Steigler - Integrante / Allison Kautto - Integrante / Jean Ball - Integrante., Financiador(es): National Health and Medical Research Council - Auxílio financeiro., Número de produções C, T & A: 1

• 2010 - 2014

  Using data mining for mapping public opinion on textual media content, Descrição: Projeto piloto conduzido de forma independente pelos pesquisadores envolvidos. O objetivo desse projeto foi o desenvolvimento de novos métodos para análise de enquadramentos em grandes conjuntos de conteúdo midiático usando técnicas de mineração de dados.. , Situação: Concluído; Natureza: Pesquisa. , Integrantes: Renato Vimieiro - Coordenador / Ana Carolina Soares Costa Vimieiro - Integrante., Número de produções C, T & A: 1

• 2010 - 2012

  Genes and Environment in the Risk of Early Age-Related Macular Degeneration: A Population-based Case-Control Study, Descrição: This study will pool data from three well-conducted population-based cohorts of older persons to gain a large sample size in order to investigate the interplay of genes and environmental factors on the risk of age-related macular degeneration (AMD). The study will give insights into AMD pathogenesis, and enable potential targeting of people with AMD susceptibility genes for preventive approaches. These could ultimately reduce the burden of this blinding condition.. , Situação: Concluído; Natureza: Pesquisa. , Integrantes: Renato Vimieiro - Integrante / Pablo Moscato - Coordenador / Jie Jin Wang - Integrante / John Attia - Integrante / Paul Baird - Integrante / Wayne Smith - Integrante / Robyn Guymer - Integrante., Financiador(es): Australian National Health and Medical Research Council - Auxílio financeiro.

• 2009 - 2010

  Differential expression of genes towards pathway discovery, Descrição: This project aims to: (a) Develop further methodology for the problem of the detection of genes that are differentially expressed in a given number of classes. It is proposed that more powerful methods can be obtained by modelling directly the gene-expression profiles rather than working with the p-values obtained by summary statistics of the differences between the classes; (b) Complete the development of user-friendly software to implement the methodology in (a) for use by biologists; (c) Continue work on the development of a fast and general method of factorisation which is based on decomposition by parts that can reduce the dimension of gene-expression data from thousands of genes to several factors. The proposed method is to be applied to data under analysis by this Program; (d) Continue with the development of powerful methods for the clustering of short time-series applicable for the clustering of gene profiles in an attempt to find genes that are co-expressed over time from data collected in time course experiments. More information: http://bioinformatics.org.au/. , Situação: Concluído; Natureza: Pesquisa. , Integrantes: Renato Vimieiro - Integrante / Pablo Moscato - Coordenador / Regina Esther Berretta - Integrante / Geoff McLachlan - Integrante / Phoebe Chen - Integrante / Suren Rathnayake - Integrante / John Marsden - Integrante / Mateus Rocha de Paula - Integrante / Chrostoph Kutmon - Integrante.

• 2003 - 2004

  Abordagem Integrada da Eficiência Energética e Energias Renovaveis, CEMIG - ANEEL - P&D 016, Descrição: O projeto procura estudar a aplicabilidade de técnicas computacionais para a melhor representação e modelagem de sistemas de energia. Entre as técnicas utilizadas estão Redes Neurais Artificiais e Data Mining. Projeto executado pelo GREEN - Grupo de Estudos em Energia com a colaboração do GICAP - Grupo de Inteligência Computacional Aplicada.. , Situação: Concluído; Natureza: Pesquisa. , Alunos envolvidos: Graduação: (3) . , Integrantes: Renato Vimieiro - Integrante / Luis Enrique Zárate - Integrante / Elizabeth Marques Duarte Pereira - Coordenador / João Paulo Domingos Silva - Integrante / Daniel Alencar Soares - Integrante., Financiador(es): Companhia Energética de Minas Gerais - Auxílio financeiro.

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