Luis Martí Orosa

Bolsista de Produtividade em Pesquisa do CNPq - Nível 2

  • Endereço para acessar este CV: http://lattes.cnpq.br/5462583890910082
  • Última atualização do currículo em 09/01/2019


Luis Martí is currently an Adjunct Professor at the Institute of Computing of the Universidade Federal Fluminense in Rio de Janeiro, Brazil. Before that he was CNPq Young Talent of Science Fellow at the Pontifical Catholic University of Rio de Janeiro. He studied Computer Science at the University of Havana (UH), Cuba and got a PhD on Computer Science and Technology from the University Carlos III of Madrid (UC3M), Spain. He has served as Junior Professor at UH, as Assistant Professor at UC3M and as Postdoc Research Fellow at T.U. Dortmund (Germany). He has also been visiting researcher at the University of Udine, Italy; the Center of Research and Advanced Technologies (CINVESTAV), Mexico, and T.U.Dortmund, Germany. His main research focus has to do with in machine learning, evolutionary computation, multi-objective optimization and multi-criteria decision making, estimation of distribution algorithms, and other related matters. (Texto informado pelo autor)


Identificação


Nome
Luis Martí Orosa
Nome em citações bibliográficas
Martí, Luis;Martí, L;Luis Martí;Luis Martí Orosa;L. Martí;MARTI, LUIS

Endereço


Endereço Profissional
Universidade Federal Fluminense, Instituto de Computação.
Avenida General Milton Tavares de Souza
Gragoatá
24210346 - Niterói, RJ - Brasil
Telefone: (21) 26292960
URL da Homepage: http://lmarti.com


Formação acadêmica/titulação


2005 - 2011
Doutorado em Doctorado en Ciencia y Tecnología Informática.
Universidad Carlos III de Madrid, UC3M, Espanha.
Título: Scalable Multi-Objective Optimization, Ano de obtenção: 2011.
Orientador: Antonio Berlanga.
Coorientador: José M. Molina.
Bolsista do(a): Universidad Carlos III de Madrid, UC3M, Espanha.
Palavras-chave: multi-objective optimization; multi-objective evolutionary algorithms; estimation of distribution algorithms; Convergence Detection; machine learning.
Grande área: Ciências Exatas e da Terra
2005 - 2007
Mestrado em Diploma de Estudios Avanzados.
Universidad Carlos III de Madrid, UC3M, Espanha.
Título: Aplicaciones de algoritmos de optimización multi-objetivo,Ano de Obtenção: 2007.
Orientador: Antonio Berlanga de Jesús and José Manuel Molina López.
Bolsista do(a): Universidad Carlos III de Madrid, UC3M, Espanha.
Palavras-chave: multi-objective evolutionary algorithms.
Grande área: Ciências Exatas e da Terra
Grande Área: Ciências Exatas e da Terra / Área: Ciência da Computação / Subárea: Artificial Intelligence / Especialidade: multi-objective optimization.
Grande Área: Ciências Exatas e da Terra / Área: Ciência da Computação / Subárea: Artificial Intelligence / Especialidade: Evolutionary algorithms.
1993 - 1998
Graduação em Licenciado en Ciencias de la Computación.
Universidad de La Habana, UH, Cuba.
Título: Redes basadas en teoría de la resonancia adaptativa en aplicaciones en química analítica.
Orientador: Luciano García and Miguel Catasús.


Pós-doutorado


2018 - 2018
Pós-Doutorado.
Centre de Recherche Inria Saclay - Île-de-France, INRIA-SACLAY, França.
2013 - 2015
Pós-Doutorado.
Pontifícia Universidade Católica do Rio de Janeiro, PUC-Rio, Brasil.
Bolsista do(a): Conselho Nacional de Desenvolvimento Científico e Tecnológico, CNPq, Brasil.
Grande área: Ciências Exatas e da Terra
Grande Área: Ciências Exatas e da Terra / Área: Ciência da Computação / Subárea: Artificial Intelligence / Especialidade: Machine learning.
Grande Área: Ciências Exatas e da Terra / Área: Ciência da Computação / Subárea: Artificial Intelligence / Especialidade: Computational Intelligence (Softcomputing).
2012 - 2012
Pós-Doutorado.
Technische Universität Dortmund, TU, Alemanha.
Bolsista do(a): Universidad Carlos III de Madrid, UC3M, Espanha.
Grande área: Ciências Exatas e da Terra


Atuação Profissional



Universidade Federal Fluminense, UFF, Brasil.
Vínculo institucional

2015 - Atual
Vínculo: Servidor Público, Enquadramento Funcional: Professor Adjunto, Carga horária: 40, Regime: Dedicação exclusiva.


Pontifícia Universidade Católica do Rio de Janeiro, PUC-Rio, Brasil.
Vínculo institucional

2013 - 2015
Vínculo: Bolsista, Enquadramento Funcional: CNPq Programa de Atração de Jovens Talentos, Regime: Dedicação exclusiva.
Outras informações
Laboratório de Inteligência e Robótica Aplicadas

Atividades

08/2014 - Atual
Ensino, Doutorado em Engenharia Elétrica - Pontifícia Universidade Católica, RJ, Nível: Pós-Graduação

Disciplinas ministradas
Computação Evolutiva Avançada: Teoria e Prática (Tópicos Especiais em Inteligência Computacional IV)
03/2013 - Atual
Pesquisa e desenvolvimento , Departamento de Engenharia Elétrica, .


Technische Universität Dortmund, TU, Alemanha.
Vínculo institucional

2012 - 2012
Vínculo: Formal labor contract, Enquadramento Funcional: Postdoctoral Researcher


Innology Ventures S.L., INNOLOGY, Espanha.
Vínculo institucional

2012 - 2013
Vínculo: Formal labor contract, Enquadramento Funcional: Chief Scientist


Universidad Carlos III de Madrid, UC3M, Espanha.
Vínculo institucional

2007 - 2012
Vínculo: , Enquadramento Funcional: Profesor ayudante de universidad, Carga horária: 8
Outras informações
Departamento de Computação

Vínculo institucional

2005 - 2007
Vínculo: Scholarship, Enquadramento Funcional: Bolsa de Doutorado UC3M, Carga horária: 8, Regime: Dedicação exclusiva.
Outras informações
Merit-based scholarship awarded by UC3M.

Atividades

10/2010 - 07/2012
Ensino, Interuniversity Master in Intelligence Analyst, Nível: Pós-Graduação

Disciplinas ministradas
Data Mining and Information Extraction
09/2010 - 07/2012
Ensino, Master Digital Information Services, Nível: Pós-Graduação

Disciplinas ministradas
Knowledge Management
03/2005 - 07/2012
Ensino, Ingeniería Informática, Nível: Graduação

Disciplinas ministradas
Knowledge Management
Computer Science Theory I
Computer Science Theory II
Data Analysis
09/2007 - 07/2009
Ensino, Administración y Dirección de Empresas, Nível: Graduação

Disciplinas ministradas
Information technology for bussiness administration
09/2008 - 12/2008
Ensino, Master in Information and Documentation, Nível: Pós-Graduação

Disciplinas ministradas
Knowledge Management
03/2005 - 07/2007
Ensino, Diplomatura en Turismo, Nível: Graduação

Disciplinas ministradas
Information technology in the touristic sector

Universidad de La Habana, UH, Cuba.
Vínculo institucional

2001 - 2005
Vínculo: Civil servant, Enquadramento Funcional: Profesor Instructor, Regime: Dedicação exclusiva.
Outras informações
Faculty of Mathematics and Computer Science

Vínculo institucional

1999 - 2001
Vínculo: Formal labor contract, Enquadramento Funcional: Profesor adiestrado, Regime: Dedicação exclusiva.
Outras informações
Faculty of Mathematics and Computer Science

Vínculo institucional

1998 - 1999
Vínculo: Formal labor contract, Enquadramento Funcional: Reserva científica, Regime: Dedicação exclusiva.
Outras informações
Institute of Materials and Reagents for Electronics

Atividades

09/1999 - 07/2005
Ensino, Licenciado en Ciencias de la Computación, Nível: Graduação

Disciplinas ministradas
artificial intelligence
Introduction to Logics
Simulation and modelling
Logic programming
Discrete mathematics


Linhas de pesquisa


1.
Artificial Intelligence
2.
machine learning
3.
computational intelligence
4.
evolutionary algorithms
5.
multi-objective optimization


Projetos de pesquisa


2016 - Atual
Otimização Multi-objetivo com Algoritmos Evolucionários: Novas Abordagens e Aplicações
Situação: Em andamento; Natureza: Pesquisa.
Alunos envolvidos: Mestrado acadêmico: (1) Doutorado: (1) .
Integrantes: Luis Martí Orosa - Coordenador / Sanchez-Pi, Nayat - Integrante.Financiador(es): Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do RJ - Auxílio financeiro.
2016 - Atual
ADDCement:

Projeto certificado pelo(a) coordenador(a) Ana Cristina Bicharra Garcia em 11/10/2016.
Situação: Em andamento; Natureza: Pesquisa.
2015 - Atual
E-LUCID
Descrição: Electronic Local but Universal Computer Intrusion Detection System.
Situação: Em andamento; Natureza: Pesquisa.
2014 - Atual
Research on Ambient Intelligence

Projeto certificado pelo(a) coordenador(a) Ana Cristina Bicharra Garcia em 15/08/2016.
Descrição: Science without Borders Special Visiting Researcher Program.
Situação: Em andamento; Natureza: Pesquisa.
Alunos envolvidos: Mestrado acadêmico: (2) Doutorado: (1) .
Integrantes: Luis Martí Orosa - Integrante / Ana Cristina Bicharra Garcia - Coordenador / Sanchez-Pi, Nayat - Integrante / MOLINA, JOSE MANUEL - Integrante.Financiador(es): Conselho Nacional de Desenvolvimento Científico e Tecnológico - Cooperação.
Número de produções C, T & A: 6
2013 - Atual
InnEMO
Descrição: Innovation in Evolutionary Multi-Objective Optimization: Novel Approaches and Applications.
Situação: Em andamento; Natureza: Pesquisa.
2012 - 2013
www.opinator.com
Descrição: A multi-channel customer opinion gathering and mining platform..
Situação: Concluído; Natureza: Pesquisa.
2012 - 2012
Knowledge management for the improvement of the administrative and management processes of the Spanish university system
Situação: Concluído; Natureza: Pesquisa.
2012 - Atual
Adaptable fusion based con context
Descrição: Advenced systems of vigilance, air traffic control and navigation..
Situação: Em andamento; Natureza: Pesquisa.
2010 - 2013
Concepts and technologies for the development of contextual services
Situação: Em andamento; Natureza: Pesquisa.
2007 - 2008
CP06: Security systems design by means of multi-agent architectures
Situação: Concluído; Natureza: Pesquisa.
2007 - Atual
Tecnologías de vigilancia, navegación y detección/resolución de conflictos para los futuros sistemas europeos de gestión de tráfico aéreo CNS/ATM
Situação: Em andamento; Natureza: Pesquisa.
2006 - 2009
SINPROB
Descrição: Intelligent systems applied to the protection of ships and port operations..
Situação: Concluído; Natureza: Pesquisa.
2006 - 2007
AUTOPIA
Descrição: Towards the autonomy people with disabilities and dependant elders by means of Ambient Intelligence.
Situação: Concluído; Natureza: Pesquisa.
2006 - 2006
Knowledge mining for air-traffic management applications
Descrição: Application of artificial intelligence techniques for the problem of knowledge and data mining in air-traffic management contexts..
Situação: Concluído; Natureza: Pesquisa.
2005 - 2008
COLOCAME
Descrição: Integration of communication, localization and intelligent service provision: Architecture for emergent mobile services.
Situação: Concluído; Natureza: Pesquisa.


Membro de corpo editorial


2014 - Atual
Periódico: Frontiers in Robotics and Artificial Intelligence


Revisor de periódico


2012 - Atual
Periódico: Engineering Optimization (Print)
2010 - Atual
Periódico: IEEE Transactions on Evolutionary Computation
2011 - Atual
Periódico: IEEE Transactions on Systems, Man and Cybernetics. Part B. Cybernetics
2012 - Atual
Periódico: Applied Soft Computing (Print)
2012 - Atual
Periódico: International Journal of Data Mining and Bioinformatics
2010 - Atual
Periódico: Journal of Industrial and Management Optimization
2012 - Atual
Periódico: ISRN Artificial Intelligence
2001 - Atual
Periódico: Investigacion Operacional
2015 - Atual
Periódico: Journal of Multi-Criteria Decision Analysis
2015 - Atual
Periódico: International Transactions in Operational Research


Áreas de atuação


1.
Grande área: Ciências Exatas e da Terra / Área: Ciência da Computação / Subárea: Artificial Intelligence.
2.
Grande área: Ciências Exatas e da Terra / Área: Ciência da Computação / Subárea: Artificial Intelligence/Especialidade: Computational Intelligence (Softcomputing).
3.
Grande área: Ciências Exatas e da Terra / Área: Ciência da Computação / Subárea: Artificial Intelligence/Especialidade: Evolutionary algorithms.
4.
Grande área: Ciências Exatas e da Terra / Área: Ciência da Computação / Subárea: Artificial Intelligence/Especialidade: multi-objective optimization.
5.
Grande área: Ciências Exatas e da Terra / Área: Probabilidade e Estatística / Subárea: Probabilidade e Estatística Aplicadas.
6.
Grande área: Ciências Exatas e da Terra / Área: Ciência da Computação / Subárea: Artificial Intelligence/Especialidade: Machine learning.


Idiomas


Espanhol
Compreende Bem, Fala Bem, Lê Bem, Escreve Bem.
Inglês
Compreende Bem, Fala Bem, Lê Bem, Escreve Bem.
Italiano
Compreende Bem, Fala Bem, Lê Bem, Escreve Razoavelmente.
Português
Compreende Bem, Fala Bem, Lê Bem, Escreve Razoavelmente.


Prêmios e títulos


2011
Pre-doctoral academic exchange grant (for traveling to T.U. Dortmund), Universidad Carlos III de Madrid.
2010
IEEE Student Travel Grants for attending WCCI'2010, IEEE Computational Intelligence Society.
2009
Pre-doctoral academic exchange grant (for traveling to CINVESTAV, Mexico), Universidad Carlos III de Madrid.
2009
IEEE Student Travel Grants for attending CEC'09, IEEE Computational Intelligence Society.
2008
GECCO 2008 best paper award nominee in the EMO track (see publications), Association for Computing Machinery.
2008
ACM SIGEVO student travel grant for attending GECCO 2008, Association for Computing Machinery.
2007
IEEE Student Travel Grants for attending IJCNN?07, IEEE Computational Intelligence Society.
2002
Best result in the ?Fundamental Studies on Sciences and Humanities? research area, Fac. of Mathematics and Computer Science, Universidad de La Habana.
2000
Best Junior Professor of course 1999?2000, Faculty of Mathematics and Computer Science, Universidad de La Habana.
1999
Most relevant work in the ?Computer Science? research area, Institute of Materials and Reagents. Universidad de La Habana..
1998
Best graduate of 1998 in the research area, Faculty of Mathematics and Computer Science. Universidad de La Habana.


Produções



Produção bibliográfica
Citações

SCOPUS
Total de trabalhos:33
Total de citações:278
http://www.scopus.com/authid/detail.url?authorId=7003671652  Data: 14/02/2012

Outras
Total de trabalhos:27
Total de citações:123
http://scholar.google.com/citations?hl=en&user=rT0Cow8AAAAJ&view_op=list_works&pagesize=100  Data: 14/02/2012

Artigos completos publicados em periódicos

1.
CINALLI, D.2018CINALLI, D. ; Martí, Luis ; SANCHEZ-PI, N. ; Garcia, Ana Cristina Bicharra . Collective Intelligence Approaches in Interactive Evolutionary Multi-Objective Optimization. LOGIC JOURNAL OF THE IGPL (ONLINE), v. 1, p. 10-23, 2018.

2.
Martí, Luis2018Martí, Luis; SEGREDO, EDUARDO ; Sánchez-Pi, Nayat ; HART, EMMA . Selection methods and diversity preservation in many-objective evolutionary algorithms. Data Technologies and Applications, v. 52, p. 502-519, 2018.

3.
VIVACQUA, A.2017VIVACQUA, A. ; García, A.C ; SANCHEZ-PI, N. ; Martí, Luis ; Molina, Jose M. . Crowd-Based Ambient Assisted Living to Monitor the Elderly?s Health Outdoors. IEEE SOFTWARE, v. 34, p. 53-57, 2017.

4.
Martí, Luis2017Martí, Luis; SEGREDO, EDUARDO ; S´NCHEZ-PI, NAYAT ; HART, EMMA . Impact of selection methods on the diversity of many-objective Pareto set approximations. PROCEDIA COMPUTER SCIENCE, v. 112, p. 844-853, 2017.

5.
Martí, Luis2016 Martí, Luis; García, Jesús ; Berlanga, Antonio ; Molina, José M. . MONEDA: scalable multi-objective optimization with a neural network-based estimation of distribution algorithm. Journal of Global Optimization, v. 64, p. 1-40, 2016.

6.
JUNIOR, HAROLD DIAS DE MELLO2016JUNIOR, HAROLD DIAS DE MELLO ; Martí, Luis ; DA CRUZ, ANDRÉ V. ABS ; VELLASCO, MARLEY M.B. REBUZZI . Evolutionary algorithms and elliptical copulas applied to continuous optimization problems. Information Sciences, v. x, p. 30, 2016.

7.
Martí, Luis2016Martí, Luis; García, Jesús ; Berlanga, Antonio ; Molina, José M. . A stopping criterion for multi-objective optimization evolutionary algorithms. Information Sciences, v. 367-368, p. 700-718, 2016.

8.
Martí, Luis2016Martí, Luis; Sanchez-Pi, Nayat ; MOLINA LÓPEZ, JOSÉ MANUEL ; Bicharra Garcia, Ana Cristina . On the Combination of Support Vector Machines and Segmentation Algorithms for Anomaly Detection: A Petroleum Industry Comparative Study. Journal of Applied Logic, v. 24, p. 71-84, 2016.

9.
Martí, Luis2015Martí, Luis; Sanchez-Pi, Nayat ; MOLINA, JOSÉ ; GARCIA, ANA . Anomaly Detection Based on Sensor Data in Petroleum Industry Applications. Sensors (Basel), v. 15, p. 2774-2797, 2015.

10.
Sanchez-Pi, Nayat2015Sanchez-Pi, Nayat ; MARTI, LUIS ; Bicharra Garcia, Ana Cristina . Contextual Pattern Discovery in Ambient Intelligent Application. International Journal of Imaging and Robotics, v. 15, p. 1, 2015.

11.
SANCHEZ-PI, N.2015SANCHEZ-PI, N. ; Martí, Luis ; Bicharra Garcia, Ana Cristina . Improving ontology-based text classification: An occupational health and security application. Journal of Applied Logic, v. 17, p. 48-58, 2015.

12.
Martí, Luis2013 Martí, Luis; Berlanga, Antonio ; Molina, José M. ; García, Jesús . Multi-objective optimization with an adaptive resonance theory-based estimation of distribution algorithm. Annals of Mathematics and Artificial Intelligence, v. 68, p. 247-273, 2013.

13.
Martí, Luis2011 Martí, Luis; García, Jesús ; Berlanga, Antonio ; Coello Coello, Carlos A. ; Molina, José M. . MB-GNG: Addressing drawbacks in multi-objective optimization estimation of distribution algorithms. Operations Research Letters, v. 39, p. 150-154, 2011.

Livros publicados/organizados ou edições
1.
Molina, José M. ; CHAMORRO, F. ; Ledezma, Agapito ; Carbó, Javier ; Martí, Luis ; Pérez, Óscar ; García, Jesús . Programacion en Lenguajes Estructurados (Grado Superior). Madrid: McGraw Hill, 2006.

2.
Molina, José M. ; CHAMORRO, F. ; Ledezma, Agapito ; Carbó, Javier ; Martí, Luis ; Pérez, Óscar ; García, Jesús . Fundamentos de Programación (Grado Superior). Madrid: McGraw Hill, 2006.

3.
Molina, José M. ; CHAMORRO, F. ; Ledezma, Agapito ; Carbó, Javier ; Martí, Luis ; Pérez, Óscar ; García, Jesús . Guía Didáctica: Programación en Lenguajes Estructurados (Grado Superior). Madrid: McGraw Hill, 2006.

4.
Molina, José M. ; CHAMORRO, F. ; Ledezma, Agapito ; Carbó, Javier ; Martí, Luis ; Pérez, Óscar ; García, Jesús . Guía Didáctica. Fundamentos de Programación (Grado Superior). Madrid: McGraw Hill, 2006.

Capítulos de livros publicados
1.
Sanchez-Pi, Nayat ; Martí, Luis ; Bustamante, Álvaro Luis ; Molina, José M. . How Machine Learning Could Detect Anomalies on Thinger.io Platform?. Communications in Computer and Information Science. 1ed.: Springer International Publishing, 2018, v. , p. 259-269.

2.
Sanchez-Pi, Nayat ; Martí, Luis ; Molina, José M. . Applying VorEAl for IoT Intrusion Detection. Lecture Notes in Computer Science. 1ed.: Springer International Publishing, 2018, v. , p. 363-374.

3.
CINALLI, DANIEL ; MARTI, LUIS ; Sanchez-Pi, Nayat ; Bicharra García, Ana C. . Hybrid Multi-Objective Evolutionary Algorithms with Collective Intelligence. In: Nadia Nedjah, Luiza De Macedo Mourelle, Heitor Silverio Lopes. (Org.). Evolutionary Multi-Objective System Design: Theory and Applications. 1ed.Boca Raton: CRC Press, 2017, v. , p. 51-68.

4.
CINALLI, DANIEL ; Martí, Luis ; Sanchez-Pi, Nayat ; Garcia, Ana Cristina Bicharra . Bio-Inspired Algorithms and Preferences for Multi-objective Problems. Lecture Notes in Computer Science. 964ed.: Springer International Publishing, 2016, v. , p. 238-249.

5.
Alemán, Javier Jiménez ; Sánchez-Pi, Nayat ; MARTI, LUIS ; Molina, José Manuel ; Garcia, Ana Cristina Bicharra . A Data Fusion Model for Ambient Assisted Living. Communications in Computer and Information Science. : Springer International Publishing, 2016, v. , p. 301-312.

6.
Sanchez-Pi, Nayat ; Martí, Luis ; Molina, José Manuel ; Bicharra García, Ana C. . Information Fusion for Improving Decision-Making in Big Data Applications. Computer Communications and Networks. 1ed.: Springer International Publishing, 2016, v. , p. 171-188.

7.
Trevisan, Daniela Gorski ; Sanchez-Pi, Nayat ; MARTI, LUIS ; Garcia, Ana Cristina Bicharra . Big Data Visualization for Occupational Health and Security Problem in Oil and Gas Industry. Lecture Notes in Computer Science. 1ed.: Springer International Publishing, 2015, v. , p. 46-54.

8.
Sanchez-Pi, Nayat ; Martí, Luis ; Garcia, Ana Cristina Bicharra . Text Classification Techniques in Oil Industry Applications. Advances in Intelligent Systems and Computing. 239ed.: Springer International Publishing, 2014, v. , p. 211-220.

9.
Martí, Luis; Sanchez-Pi, Nayat ; Molina, José Manuel ; García, Ana Cristina Bicharra . Combining Support Vector Machines and Segmentation Algorithms for Efficient Anomaly Detection: A Petroleum Industry Application. Advances in Intelligent Systems and Computing. 1ed.: Springer International Publishing, 2014, v. , p. 269-278.

10.
Martí, Luis; Sanchez-Pi, Nayat ; Molina, José Manuel ; Bicharra Garcia, Ana Cristina . YASA: Yet Another Time Series Segmentation Algorithm for Anomaly Detection in Big Data Problems. Lecture Notes in Computer Science. 1ed.: Springer International Publishing, 2014, v. , p. 697-708.

11.
Sanchez-Pi, Nayat ; Martí, Luis ; Molina, José Manuel ; Bicharra Garcia, Ana Cristina . High-Level Information Fusion for Risk and Accidents Prevention in Pervasive Oil Industry Environments. Communications in Computer and Information Science. 1ed.: Springer International Publishing, 2014, v. , p. 202-213.

12.
Martí, Luis; Sanchez-Pi, Nayat ; Vellasco, Marley . Understanding the Treatment of Outliers in Multi-Objective Estimation of Distribution Algorithms. Lecture Notes in Computer Science. 1ed.: Springer International Publishing, 2014, v. , p. 359-370.

13.
Martí, Luis; García, Jesús ; Berlanga, Antonio ; Molina, José M. . Multi-Objective Optimization with an Adaptive Resonance Theory-Based Estimation of Distribution Algorithm: A Comparative Study. Lecture Notes in Computer Science. 1ed.: Springer Berlin Heidelberg, 2011, v. , p. 458-472.

14.
Wagner, Tobias ; Trautmann, Heike ; Martí, Luis . A Taxonomy of Online Stopping Criteria for Multi-Objective Evolutionary Algorithms. Lecture Notes in Computer Science. : Springer Berlin Heidelberg, 2011, v. , p. 16-30.

15.
Martí, Luis; García, Jesús ; Berlanga, Antonio ; Molina, José M. . Advancing Model-Building for Many-Objective Optimization Estimation of Distribution Algorithms. Lecture Notes in Computer Science. 1ed.: Springer Berlin Heidelberg, 2010, v. , p. 512-521.

16.
Martí, Luis; García, Jesús ; Berlanga, Antonio ; Molina, José M. . On the Computational Properties of the Multi-Objective Neural Estimation of Distribution Algorithm. Studies in Computational Intelligence. 1ed.: Springer Berlin Heidelberg, 2009, v. , p. 239-251.

17.
Pérez, María J. ; García, Jesús ; Martí, Luis ; Molina, José M. . Multi-objective Optimization Evolutionary Algorithms in Insurance Linked Derivatives. In: Rennard, Jean-Philippe. (Org.). andbook of Research on Nature-inspired Computing for Economics and Management. Hershey, Pennsylvania: IGI Global, 2006, v. , p. 885-908.

18.
Martí, Luis; Policriti, Alberto ; García, Luciano . Hybrid Adaptive Resonance Theory neural networks for function approximation. In: Abraham, Ajith; Jain, Lakmi C.; van der Zwaag, Berend Jan. (Org.). Innovations in Intelligent Systems and Applications: Design, Management and Applications. Heidelberg: Physica--Verlag (Springer), 2003, v. , p. -.

19.
Martí, Luis; Policriti, Alberto ; García, Luciano . Modelos Neurodifusos Híbridos Basados en la Teoría de Resonancia Adaptativa. In: Joya, Gonzalo; Atencia, M.~A.; Ochoa, Alberto; Allende, Sira. (Org.). Optimización Inteligente. Málaga: Servicio de Publicaciones de la Universidad de Málaga (SPICUM), 2003, v. , p. 363-412.

20.
Martí, Luis; Policriti, Alberto ; García, Luciano . AppART: An ART Hybrid Stable Learning Neural Network for Universal Function Approximation. Hybrid Information Systems. 1ed.: Physica-Verlag HD, 2002, v. , p. 93-119.

Trabalhos completos publicados em anais de congressos
1.
GUERRERO, JOSÉ LUIS ; Martí, Luis ; Sanchez-Pi, Nayat ; Berlanga, Antonio ; MOLINA, JOSE MANUEL . Multiobjective evolutionary polygonal approximation for identifying crude oil reservoirs. In: the Genetic and Evolutionary Computation Conference Companion, 2018, Kyoto. Proceedings of the Genetic and Evolutionary Computation Conference Companion on - GECCO '18. New York: ACM Press, 2018. p. 1805.

2.
Martí, Luis; SCHOENAUER, MARC . Bio-inspired approaches to anomaly and intrusion detection. In: the Genetic and Evolutionary Computation Conference Companion, 2018, Kyoto. Proceedings of the Genetic and Evolutionary Computation Conference Companion on - GECCO '18. New York: ACM Press, 2018. p. 1121.

3.
DE MORAES, ROGERIO FERREIRA ; VILLELA DA SILVA, ANDRE RENATO ; OCHI, LUIZ SATORU ; MARTI, LUIS . Implementation of a RVND, VNS, ILS Heuristic for the Traveling Car Renter Problem. In: 2018 IEEE Congress on Evolutionary Computation (CEC), 2018, Rio de Janeiro. 2018 IEEE Congress on Evolutionary Computation (CEC), 2018. p. 1.

4.
MARINHO, WEMERSON ; MARTI, LUIS ; Sanchez-Pi, Nayat . A Compact Encoding for Efficient Character-level Deep Text Classification. In: 2018 International Joint Conference on Neural Networks (IJCNN), 2018, Rio de Janeiro. 2018 International Joint Conference on Neural Networks (IJCNN), 2018. p. 1.

5.
PEREIRA, CRISTIANE S ; DIAS, DOUGLAS M ; VELLASCO, MARLEY M B R ; VIANA, FRANCISCO HENRIQUE F ; Martí, Luis . Crude oil refinery scheduling. In: the Genetic and Evolutionary Computation Conference Companion, 2018, Kyoto. Proceedings of the Genetic and Evolutionary Computation Conference Companion on - GECCO '18, 2018. p. 1821.

6.
Martí, Luis; FANSI-TCHANGO, ARSENE ; NAVARRO, LAURENT ; SCHOENAUER, MARC . Progressively adding objectives. In: the Genetic and Evolutionary Computation Conference, 2017, Berlin. Proceedings of the Genetic and Evolutionary Computation Conference on - GECCO '17. New York: ACM Press, 2017. p. 593-600.

7.
MARTI, LUIS; SEGREDO, EDUARDO ; Sanchez-Pi, Nayat ; HART, EMMA . Impact of selection methods on the diversity of many-objective Pareto set approximations. In: International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES), 2017, Marseille. Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 21st International Conference, KES-2017, 2017. v. 112. p. 844-853.

8.
MARTI, LUIS; DE MELLO, HAROLD D. ; Sanchez-Pi, Nayat ; Vellasco, Marley . SMS-EDA-MEC: Extending Copula-based EDAs to multi-objective optimization. In: 2016 IEEE Congress on Evolutionary Computation (CEC), 2016, Vancouver. 2016 IEEE Congress on Evolutionary Computation (CEC). p. 3726-8.

9.
MARTI, LUIS; FANSI TCHANGO, ARSENE ; NAVARRO, LAURENT ; SCHOENAUER, MARC . Anomaly Detection with the Voronoi Diagram Evolutionary Algorithm. In: 14th International Conference on Parallel Problem Solving from Nature (PPSN XIV), 2016, Edinburgh. Proceedings of the 14th International Conference on Parallel Problem Solving from Nature (PPSN XIV), 2016.

10.
CINALLI, DANIEL ; Martí, Luis ; Sanchez-Pi, Nayat ; Garcia, Ana Cristina Bicharra . Collective preferences in evolutionary multi-objective optimization. In: the 30th Annual ACM Symposium, 2015, Salamanca. Proceedings of the 30th Annual ACM Symposium on Applied Computing - SAC '15, 2015. p. 133.

11.
Sanchez-Pi, Nayat ; Martí, Luis ; MOLINA, JOSE MANUEL ; Garcia, Ana Cristina Bicharra . Ontology definition and cognitive analysis in ocupational health and security (OHS) environments. In: the 30th Annual ACM Symposium, 2015, Salamanca. Proceedings of the 30th Annual ACM Symposium on Applied Computing - SAC '15. New York: ACM Press, 2015. p. 201.

12.
Martí, Luis; GRIMME, CHRISTIAN ; KERSCHKE, PASKAL ; Trautmann, Heike ; RUDOLPH, GÜNTER . Averaged Hausdorff Approximations of Pareto Fronts based on Multiobjective Estimation of Distribution Algorithms. In: the Companion Publication of the 2015, 2015, Madrid. Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference - GECCO Companion '15. New York: ACM Press, 2015. p. 1427.

13.
Sánchez-Pi, Nayat ; Martí, Luis ; Molina, José Manuel ; GARCIA, A. C. B. . An information fusion framework for context-based accidents prevention. In: 17th International Conference on Information Fusion (Fusion 2014), 2014, Salamanca. Proceedings of the 17th International Conference on Information Fusion (Fusion 2014), 2014.

14.
Sanchez-Pi, Nayat ; Martí, Luis ; GARCIA, A. C. B. . Information extraction techniques for health, safety and environment applications in oil industry. In: International Conference on Artificial Intelligence (ICAI 2013), 2013, Las Vegas. Proceedings of the International Conference on Artificial Intelligence (ICAI 2013), 2013.

15.
Martí, Luis; García, Jesús ; Berlanga, Antonio ; Molina, José M. . Multi-Objective Optimization with an Adaptive Resonance Theory-Based Estimation of Distribution Algorithm: A Comparative Study. In: 5th International Conference on Learning and Intelligent Optimization (LION 5), 2011, Rome. Learning and Intelligent Optimization. Berlin / Heidelberg: Springer, 2011. v. 6683. p. 458-472.

16.
Martí, Luis; García, Jesús ; Berlanga, Antonio ; Molina, José M. . Indicator-based MONEDA: A Comparative Study of Scalability with Respect to Decision Space Dimensions. In: 2011 IEEE Conference on Evolutionary Computation (CEC), 2011, New Orleans. 2011 IEEE Conference on Evolutionary Computation (CEC). Piscataway, New Jersey: IEEE Press, 2011. p. 957-964.

17.
Martí, Luis; García, Jesús ; Berlanga, Antonio ; Molina, José M. . Moving away from error-based learning in multi-objective estimation of distribution algorithms. In: the 12th annual conference, 2010, Portland. Proceedings of the 12th annual conference on Genetic and evolutionary computation - GECCO '10. New York: ACM Press. p. 545-546.

18.
Guerrero, José L. ; Martí, Luis ; Berlanga, Antonio ; García, Jesús ; Molina, José M. . Introducing a robust and efficient stopping criterion for MOEAs. In: 2010 IEEE Congress on Evolutionary Computation, part of 2010 IEEE World Congress on Computational Intelligence (WCCI), 2010, Barcelona. 2010 IEEE Congress on Evolutionary Computation (CEC). Piscataway, New Jersey: IEEE Press, 2010.

19.
Martí, Luis; García, Jesús ; Berlanga, Antonio ; Molina, José M. . A progress indicator for detecting success and failure in evolutionary multi-objective optimization. In: 2010 IEEE Congress on Evolutionary Computation, part of 2010 IEEE World Congress on Computational Intelligence (WCCI), 2010, Barcelona. 2010 IEEE Congress on Evolutionary Computation, part of 2010 IEEE World Congress on Computational Intelligence (WCCI). Piscataway, New Jersey: IEEE Press, 2010.

20.
Carlos Fonseca ; Xavier Gandibleux ; Pekka Korhonen ; Martí, Luis ; Boris Naujoks ; Lothar Thiele ; Jyrki Wallenius ; Eckart Zitzler . Working Group on EMO for Interactive Multiobjective Optimization. In: Seminar on Hybrid and Robust Approaches to Multiobjective Optimization, 2009, Dagstuhl. Dagstuhl Seminar Proceedings 09041: Hybrid and Robust Approaches to Multiobjective Optimization, 2009.

21.
Martí, Luis; García, Jesús ; Berlanga, Antonio ; Molina, José M. . Solving complex high dimensional problems with the multi-objective neural estimation of distribution algorithm. In: GECCO 2009: 11th Annual Conference on Genetic and Evolutionary Computation, 2009, Montral. GECCO '09 Proceedings of the 11th Annual conference on Genetic and evolutionary computation. New York: ACM Press, 2009.

22.
Guerrero, José L. ; GARCIA, JESUS ; MARTI, LUIS ; Molina, José Manuel ; Berlanga, Antonio . A stopping criterion based on Kalman estimation techniques with several progress indicators. In: the 11th Annual conference, 2009, Montreal. Proceedings of the 11th Annual conference on Genetic and evolutionary computation - GECCO '09. New York: ACM Press. p. 587-594.

23.
Martí, Luis; García, Jesús ; Berlanga, Antonio ; Molina, José M. . On the model?building issue of multi?objective estimation of distribution algorithms. In: 4th International Conference on Hybrid Artificial Intelligence (HAIS?09), 2009, Salamanca. HYBRID ARTIFICIAL INTELLIGENCE SYSTEMS. Berlin / Heidelberg: Springer, 2009. p. 293-300.

24.
Martí, Luis; García, Jesús ; Berlanga, Antonio ; Molina, José M. . On the influence of outliers on the loss of population diversity of multi-objective estimation of distribution algorithms. In: Taller Latino Iberoamericano de Investigación de Operaciones, 2009, Acapulco. Taller Latino Iberoamericano de Investigación de Operaciones. Acapulco: Universidad Autónoma de Guerrero, 2009.

25.
MARTI, LUIS; GARCIA, JESUS ; Berlanga, Antonio ; MOLINA, JOSE M. . An approach to stopping criteria for multi-objective optimization evolutionary algorithms: The MGBM criterion. In: 2009 IEEE Congress on Evolutionary Computation (CEC), 2009, Trondheim. 2009 IEEE Congress on Evolutionary Computation. p. 1263-1270.

26.
Martí, Luis; García, Jesús ; Berlanga, Antonio ; Molina, José M. . Introducing MONEDA: Scalable multiobjective optimization with a neural estimation of distribution algorithm. In: GECCO ?08: 10th Annual Conference on Genetic and Evolutionary Computation, 2008, Atlanta. GECCO '08 Proceedings of the 10th annual conference on Genetic and evolutionary computation. New York: ACM Press, 2008. p. 689-696.

27.
Martí, Luis; García, Jesús ; Berlanga, Antonio ; Molina, José M. . Model-building algorithms for multiobjective EDAs: Directions for improvement. In: 2008 IEEE Conference on Evolutionary Computation (CEC), part of 2008 IEEE World Congress on Computational Intelligence (WCCI 2008), 2008, Hong Kong. 2008 IEEE Conference on Evolutionary Computation (CEC), part of 2008 IEEE World Congress on Computational Intelligence (WCCI 2008). Piscataway: IEEE Press, 2008. p. 2848-285.

28.
Martí, Luis; García, Jesús ; Berlanga, Antonio ; Molina, José M. . Scalable Continuous Multiobjective Optimization with a Neural Network?Based Estimation of Distribution Algorithm. In: Evo*: European Conference on the Applications of Evolutionary Computation, 2008, Naples. Applications of Evolutionary Computing. Berlin / Heidelberg: Springer, 2008. p. 535-544.

29.
Martí, Luis. A hybrid neural system based on adaptive resonance theory and representational redescription capable of variable binding. In: 2007 International Joint Conference on Neural Networks (IJCNN), 2007, Orlando. 2007 International Joint Conference on Neural Networks (IJCNN). Piscataway: IEEE Press, 2007. p. 2448-2453.

30.
Martí, Luis; García, Jesús ; Berlanga, Antonio ; Molina, José M. . A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms. In: GECCO '07: 9th Annual Conference on Genetic and Evolutionary Computation, 2007, London. GECCO '07 Proceedings of the 2007 GECCO conference on Genetic and evolutionary computation. New York: ACM Press, 2007. p. 911-911.

31.
Martí, Luis; García, Jesús ; Berlanga, Antonio ; Molina, José M. . A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms (extended version). In: GECCO '07: 9th Annual Conference on Genetic and Evolutionary Computation, 2007, London. GECCO '07 Proceedings of the 2007 GECCO conference companion on Genetic and evolutionary computation. Piscataway: ACM Press, 2007. p. 2835-2842.

32.
Martí, Luis; Policriti, Alberto ; García, Luciano . AppART: An ART Hybrid Stable Learning Neural Network for Universal Function Approximation. In: Hybrid Information Systems, 2002, Adelaide. Hybrid Information Systems. Heidelberg: Physica Verlag (Springer), 2002. p. 93-119.

33.
Martí, Luis; Policriti, Alberto ; García, Luciano ; Lazo, Raynel . AppART + growing neural gas = high performance hybrid neural network for function approximation. In: Knowledge-based Intelligent Information Engineering Systems and Allied Technologies, 2002, Crema. FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS: Knowledge-based Intelligent Information Engineering Systems and Allied Technologies. Amsterdam: IOS Press, 2002. p. 1483-1487.

Resumos expandidos publicados em anais de congressos
1.
MARTI, LUIS; Arsene Fansi Tchango ; NAVARRO, L. ; SCHOENAUER, M. . VorAIS: A Multi-Objective Voronoi Diagram-based Artificial Immune System. In: 2016 Genetic and Evolutionary Computation Conference (GECCO'16), 2016, Denver. GECCO '16 Companion Proceedings of the 2016 Genetic and Evolutionary Computation Conference Companion, 2016. p. 11-12.

Artigos aceitos para publicação
1.
MARTI, LUIS; Sánchez-Pi, Nayat ; GARCIA, A. C. B. . On the Combination of Support Vector Machines and Segmentation Algorithms for Anomaly Detection: A Petroleum Industry Comparative Study. Journal of Applied Logic, 2016.

Apresentações de Trabalho
1.
MARTI, LUIS; Sánchez-Pi, Nayat . Tutitial: Convergence Detection and Stopping Criteria for Evolutionary Multi-Objective Optimization. 2015. (Apresentação de Trabalho/Conferência ou palestra).

2.
Martí, Luis. Multi-objective Estimation of Distribution Algorithms. 2014. (Apresentação de Trabalho/Seminário).


Produção técnica
Programas de computador sem registro
1.
Martí, Luis; GUEVARA, A. . LaTeX Grammar Check. 2013.

2.
Wagner, Tobias ; Martí, Luis . Taxonomy-based Matlab framework for online stopping criteria. 2011.

3.
Martí, Luis. YALEP: Yet Another E-Learning Platform. 2003.

4.
Martí, Luis. Yet Another W* Network (YAWN). 2001.


Demais tipos de produção técnica
1.
Martí, Luis. A Brief Introduction to Python and Its Use in Artificial Intelligence. 2014. (Curso de curta duração ministrado/Especialização).

2.
Martí, Luis. Python Programming for Artificial Intelligence Applications. 2014. (Curso de curta duração ministrado/Especialização).

3.
Martí, Luis; García, Jesús ; Berlanga, Antonio ; Molina, José M. . MONEDA: Scalable multi?objective optimization with a neural network?based estimation of distribution algorithm. 2010. (Relatório de pesquisa).

4.
Martí, Luis; García, Jesús ; Berlanga, Antonio ; Coello Coello, Carlos A. ; Molina, José M. . On current model-building methods for multi-objective estimation of distribution algorithms: Shortcommings and directions for improvement. 2010. (Relatório de pesquisa).



Bancas



Participação em bancas de trabalhos de conclusão
Mestrado
1.
Martí, Luis. Participação em banca de Percy Soares Machado. Sistema Evolucionário de Suporte à Decisão de Investimento em Ações usando Contexto de Usuário. 2016. Dissertação (Mestrado em Ciências Computacionais) - Universidade do Estado do Rio de Janeiro.

2.
Luis Martí. Participação em banca de Cesar Revelo Apraez. Abordagem Híbrida Neuro-Evolucionária para Ponderação Dinâmica de Previsores. 2016. Dissertação (Mestrado em Engenharia Elétrica) - Pontifícia Universidade Católica do Rio de Janeiro.

Teses de doutorado
1.
VELLASCO, MARLEY M.B. REBUZZI; FIGUEIREDO, K.; MARTI, LUIS. Participação em banca de Cristiane Salgado. Otimização multiobjetivo para programação de petróleo em refinaria. 2018. Tese (Doutorado em Doutorado em Engenharia Elétrica - Pontifícia Universidade Católica, RJ) - Pontifícia Universidade Católica do Rio de Janeiro.

Qualificações de Doutorado
1.
Luis Martí. Participação em banca de Cristiane Salgado Pereira. Otimização multiobjetivo para programação de petróleo em refinaria. 2017. Exame de qualificação (Doutorando em Doutorado em Engenharia Elétrica - Pontifícia Universidade Católica, RJ) - Pontifícia Universidade Católica do Rio de Janeiro.

Trabalhos de conclusão de curso de graduação
1.
MARTI, LUIS. Participação em banca de Marina D'Assumpção Thomé.IMPLEMENTAÇÃO DO MODELO CHUVA-VAZÃO SMAP EM PYTHON. 2017. Trabalho de Conclusão de Curso (Graduação em Engenharia de Recursos Hídricos e do Meio Ambiente) - Universidade Federal Fluminense.




Eventos



Participação em eventos, congressos, exposições e feiras
1.
2011 IEEE Conference on Evolutionary Computation (CEC). Indicator-based MONEDA: A comparative study of scalability with respect to decision space dimensions. 2011. (Congresso).

2.
5th International Conference on Learning and Intelligent Optimization (LION 5). Multi-objective optimization with an adaptive resonance theory-based estimation of distribution algorithm: A comparative study. 2011. (Congresso).

3.
6th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2011). A taxonomy of online stopping criteria for multi-objective evolutionary algorithms. 2011. (Congresso).

4.
12th Annual Conference on Genetic and Evolutionary Computation (GECCO). Moving away from error-based learning in multi-objective estimation of distribution algorithms. 2010. (Congresso).

5.
2010 IEEE Congress on Evolutionary Computation, part of 2010 IEEE World Congress on Computational Intelligence (WCCI). Introducing a robust and efficient stopping criterion for MOEAs. 2010. (Congresso).

6.
9th Workshop on Quality Improvement Methods.EMO Stopping Criteria: Detecting Stagnation in Multi?Objective Optimization. 2010. (Oficina).

7.
Evo*: European Conference on the Applications of Evolutionary Computation. Advancing model-building for many-objective optimization estimation of distribution algorithms. 2010. (Congresso).

8.
2009 IEEE Conference on Evolutionary Computation (CEC 2009). An approach to stopping criteria for multi-objective optimization evolutionary algorithms: The MGBM criterion. 2009. (Congresso).

9.
4th International Conference on Hybrid Artificial Intelligence (HAIS?09). On the model?building issue of multi?objective estimation of distribution algorithms. 2009. (Congresso).

10.
GECCO 2009: 11th Annual Conference on Genetic and Evolutionary Computation. Solving Complex High-Dimensional Problems with the Multi-Objective Neural Estimation of Distribution Algorithm. 2009. (Congresso).

11.
Seminar on Hybrid and Robust Approaches to Multiobjective Optimization.Working Group on EMO for Interactive Multiobjective Optimization. 2009. (Seminário).

12.
Taller Latino Iberoamericano de Investigación de Operaciones.On the influence of outliers on the loss of population diversity of multi?objective estimation of distribution algorithms. 2009. (Oficina).

13.
2008 IEEE Conference on Evolutionary Computation (CEC), part of 2008 IEEE World Congress on Computational Intelligence (WCCI 2008). Model-building algorithms for multiobjective EDAs: Directions for improvement. 2008. (Congresso).

14.
Evo*: European Conference on the Applications of Evolutionary Computation. Scalable Continuous Multiobjective Optimization with a Neural Network?Based Estimation of Distribution Algorithm. 2008. (Congresso).

15.
GECCO ?08: 10th Annual Conference on Genetic and Evolutionary Computation. Introducing MONEDA: Scalable multiobjective optimization with a neural estimation of distribution algorithm. 2008. (Congresso).

16.
Nature Inspired Cooperative Strategies for Optimization (NICSO 2008). On the computational properties of the multi?objective neural estimation of distribution algorithms. 2008. (Congresso).

17.
2007 International Joint Conference on Neural Networks (IJCNN). A hybrid neural system based on adaptive resonance theory and representational redescription capable of variable binding. 2007. (Congresso).

18.
GECCO '07: 9th Annual Conference on Genetic and Evolutionary Computation. A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms. 2007. (Congresso).

19.
4th Cuban-Canadian Meeting on Data Structures and Algorithms. 2004. (Encontro).

20.
3rd Cuban-Canadian Meeting on Data Structures and Algorithms. 2003. (Encontro).

21.
Hybrid Information Systems. AppART: An ART hybrid stable learning neural network for universal function approximation. 2002. (Congresso).

22.
Italo-Cuban school of Bioinformatics. 2002. (Oficina).

23.
Knowledge-based Intelligent Information Engineering Systems and Allied Technologies. AppART + growing neural gas = high performance hybrid neural network for function approximation. 2002. (Congresso).

24.
Distributed systems programming with Java technology. 2001. (Oficina).

25.
School on Theory and Applications of Programming. 1999. (Oficina).

26.
Advanced Programming School. 1998. (Oficina).


Organização de eventos, congressos, exposições e feiras
1.
MARTI, LUIS; Sánchez-Pi, Nayat . XIII Brazlian Congress in Computational Intelligence. 2017. (Congresso).

2.
MARTI, LUIS; Sánchez-Pi, Nayat . Second Workshop on Advances in Evolutionary Computation. 2016. (Congresso).

3.
Martí, Luis. First Workshop on Advances in Evolutionary Computation. 2014. (Congresso).

4.
Trautmann, Heike ; Martí, Luis . Designing Evolutionary Processes. 2010. (Congresso).



Orientações



Orientações e supervisões em andamento
Dissertação de mestrado
1.
Rodrigo Campos. Improving stopping criteria for multi-objetive evolutionary algorithms. Início: 2017. Dissertação (Mestrado em Computação) - Universidade Federal Fluminense. (Orientador).


Orientações e supervisões concluídas
Dissertação de mestrado
1.
Wemerson Marinho. Word101 - A Compact Encoding of Words using Character Level Information applied to Convolutional Neural Network Text Classification. 2017. Dissertação (Mestrado em Computação) - Universidade Federal Fluminense, . Orientador: Luis Martí Orosa.

2.
Cesar David Revelo Apraez. Abordagem híbrida neuro-evolucionária para ponderação dinâmica de previsores. 2016. Dissertação (Mestrado em Engenharia Elétrica) - Pontifícia Universidade Católica do Rio de Janeiro, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior. Coorientador: Luis Martí Orosa.

Tese de doutorado
1.
Daniel Lopes Cinalli. Integrating Collective Intelligence into Multi-Objective Optimization Evolutionary Algorithms: Interactive Preferences and Reference Points for a Facility Location Problem. 2017. Tese (Doutorado em Computação) - Universidade Federal Fluminense, . Coorientador: Luis Martí Orosa.

Trabalho de conclusão de curso de graduação
1.
Lucas Hippert Stuart Boden. ARQUITETURAS DEEP LEARNING APLICADAS EM VEÍCULOS AUTÔNOMOS. 2017. Trabalho de Conclusão de Curso. (Graduação em Computação) - Universidade Federal Fluminense. Orientador: Luis Martí Orosa.

2.
Ignacio Bona Piedrabuena. Programación genética aplicada a la resolución del cubo de Rubik. 2010. Trabalho de Conclusão de Curso. (Graduação em Ingeniería Informática) - Universidad Carlos III de Madrid. Orientador: Luis Martí Orosa.

3.
Beloki Gómez, Julen. GrammaTeX: corrector gramatical para documentos LaTeX. 2009. Trabalho de Conclusão de Curso. (Graduação em Ingeniería Informática) - Universidad Carlos III de Madrid. Orientador: Luis Martí Orosa.



Inovação



Programa de computador sem registro
1.
Martí, Luis; GUEVARA, A. . LaTeX Grammar Check. 2013.


Projetos de pesquisa



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