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Roberto Henriques
Identificação
Roberto Henriques, Professor Auxiliar Convidado
Doutor em Gestão de Informação
(NOVA IMS | NOVA)
Contactos
roberto@novaims.unl.pt
Biografia

Roberto Henriques é actualmente Professor Auxiliar na NOVA Information Management School (NOVA IMS) onde é o coordenador do Mestrado em Gestão de Informação e Estatística, Mestrado em Gestão da Informação e European Master of Science in Information Systems Management. Tem o doutoramento em Gestão de Informação (NOVA), mestrado em Ciência e Sistemas de Informação Geográfica e uma licenciatura em Engenharia Biofísica. Os seus interesses de investigação incluem a análise de dados geoespaciais e os sistemas de apoio à decisão, utilizando métodos de inteligência artificial e de data mining. O seu trabalho tem sido publicado em várias revistas e conferências internacionais de elevada qualidade. Tem realizado também vários projetos de investigação, incluindo a análise de marketing e CRM, gestão de clientes e de data mining.

Unidades Curriculares que leciona na NOVA IMS
- Aprendizagem Automática
- Data Mining
- Data Science and Machine Learning
- Designing Digital Innovation - Capstone I
- Geospatial Data Mining
- Metodologias de Investigação
- Métodos Descritivos de Data Mining
- Métodos Preditivos de Data Mining
- Predictive Data Mining
- Software Aberto e Programação em SIG
- Tópicos Avançados em Análise Geoespacial
Publicações
Publicação em Periódicos Científicos
Castelli, M., Dobreva, M., Henriques, R., & Vanneschi, L. (2020). Predicting Days on Market to Optimize Real Estate Sales Strategy. Complexity, 2020, 1-22. [4603190]. https://doi.org/10.1155/2020/4603190
Pina, A., Helgadottir, S., Mancina, R. M., Pavanello, C., Pirazzi, C., Montalcini, T., … Romeo, S. (2020). Virtual genetic diagnosis for familial hypercholesterolemia powered by machine learning. European Journal of Preventive Cardiology. [Advanced online publication February 4, 2020]. Doi: https://doi.org/10.1177/2047487319898951
Silva, M. I & Henriques, R. (2020).Finding manoeuvre motifs in vehicle telematics. Accident Analysis & Prevention, 138,(April), 105467. https://doi.org/10.1016/j.aap.2020.105467
Campos, S. R. M. D., Henriques, R., & Yanaze, M. H. (2019). Knowledge discovery through higher education census data. Technological Forecasting and Social Change, 149, [119742]. https://doi.org/10.1016/j.techfore.2019.119742
Costa, A., Guerreiro, J., Moro, S., & Henriques, R. (2019). Unfolding the characteristics of incentivized online reviews. Journal of Retailing and Consumer Services, 47, 272-281. DOI: 10.1016/j.jretconser.2018.12.006
Hajek, P., Henriques, R., Castelli, M., & Vanneschi, L. (2019). Forecasting performance of regional innovation systems using semantic-based genetic programming with local search optimizer. Computers and Operations Research, 106(June), 179-190. [advanced online on 7 February 2018]https://doi.org/10.1016/j.cor.2018.02.001 . Doi: https://doi.org/10.1016/j.cor.2018.02.001
Santa, F., Henriques, R., Torres-Sospedra, J., & Pebesma, E. (2019). A statistical approach for studying the spatio-temporal distribution of geolocated tweets in urban environments. Sustainability (Switzerland), 11(3), [595]. DOI: 10.3390/su11030595
Bação, F. J. F. L., Henriques, R., & Antunes, J. (2017). Contribution Towards Smart Cities: Exploring Block Level Census Data for the Characterization of Change in Lisbon. In M. Behnisch, & G. Meinel (Eds.), Trends in Spatial Analysis and Modelling: Decision-Support and Planning Strategies (pp. 59-73). [Chapter 4] (Geotechnologies and the Environment; Vol. 19). Springer. https://doi.org/10.1007/978-3-319-52522-8_4
Beretta, S., Castelli, M., Goncalves, I., Henriques, R., & Ramazzotti, D. (2018). Learning the Structure of Bayesian Networks: A Quantitative Assessment of the Effect of Different Algorithmic Schemes. Complexity, [1591878]. DOI: 10.1155/2018/1591878
Galvão, M. & Henriques, R. (2018). Forecasting Movie Box Office Profitability. Journal of Information Systems Engineering & Management, 3(3), 22. https://doi.org/10.20897/jisem/2658
Ribeiro, S., Cabral, P., Henriques, R., Bravo, J., Rodrigues, T., & Painho, M. (2018). Modelação do crescimento urbano para a distribuição eficaz das forças de segurança: o caso português. PROELIUM – Revista da Academia Militar, 7(14), 45-68.
Adeoluwa Akande, Ana Cristina Costa, Jorge Mateu and Roberto Henriques (2017). Geospatial Analysis of Extreme Weather Events in Nigeria (1985–2015) Using Self-Organizing Maps. Advances in Meteorology, 2017, Article ID 8576150, 11 p. https://doi.org/10.1155/2017/8576150
de Campos, S. R. M., Henriques, R., & Yanaze, M. H. (2017). Higher education in Brazil: an exploratory study based on supply and demand conditions. Universal Access in the Information Society, 1-23 (advanced online publication on 24 april 2017). DOI: 10.1007/s10209-017-0537-9
Leonardo Vanneschi; Roberto Henriques; Mauro Castelli (2017). Multi-objective genetic algorithm with variable neighbourhood search for the electoral redistricting problem. Swarm and Evolutionary Computation, 36, 37-51. https://doi.org/10.1016/j.swevo.2017.04.003
Petr Hajek & Roberto Henriques (2017). Mining Corporate Annual Reports for Intelligent Detection of Financial Statement Fraud - A Comparative Study of Machine Learning Methods. Knowledge-Based Systems, 128, 139-152. https://doi.org/10.1016/j.knosys.2017.05.001
Petr Hajek & Roberto Henriques (2017). Modelling innovation performance of European regions using multi-output neural networks. PLoS ONE 12(10): e0185755. doi: https://doi.org/10.1371/journal.pone.0185755
Vitor Principe, Luiz Octáio Gavião, Roberto Henriques, Victor Lobo, Gilson Brito Alves Lima and Annibal Parracho Sant’anna (2017). Multicriteria Analysis of Football Match Performances: Composition Of Probabilistic Preferences Applied To The English Premier League 2015/2016. Pesquisa Operacional, 37 (2), 333-363. DOI: 10.1590/0101-7438.2017.037.02.0333
Ribeiro, S., Caineta, J., Costa, A. C., Henriques, R., & Soares, A. (2016). Detection of inhomogeneities in precipitation time series in Portugal using direct sequential simulation. Atmospheric Research, 171, 147-158. doi: http://dx.doi.org/10.1016/j.atmosres.2015.11.014
Castelli, M., Henriques, R., & Vanneschi, L. (2015). A geometric semantic genetic programming system for the electoral redistricting problem. Neurocomputing, 154, 200-207. doi: 10.1016/j.neucom.2014.12.003
Hajek, P., Henriques, R., & Hajkova, V. (2014). Visualising components of regional innovation systems using self-organizing maps-Evidence from European regions. [Article]. Technological Forecasting and Social Change, 84, 197-214. doi: 10.1016/j.techfore.2013.07.013
Henriques, R., Bacao, F., & Lobo, V. (2012). Exploratory geospatial data analysis using the GeoSOM suite. Computers Environment and Urban Systems, 36(3), 218-232. doi: 10.1016/j.compenvurbsys.2011.11.003
Henriques, R., Bacao, F., & Lobo, V. (2009). Carto-SOM: cartogram creation using self-organizing maps. International Journal of Geographical Information Science, 23(4), 483-511.
Capítulo de Livro
Pina, A., Macedo, M. P., & Henriques, R. (2020). Clustering Clinical Data in R. Methods In Molecular Biology (Clifton, N.J.), 2051, 309-343. https://doi.org/10.1007/978-1-4939-9744-2_14
Ribeiro, S. & Henriques, R. (2018). Aplicação de Self-Organizing Maps na análise da criminalidade em Portugal, 2011,2016. In T. Rodrigues, & M. Painho (Eds.), Modelos preditivos e segurança pública (pp. 253-280). Porto: Fronteira do Caos. ISBN: 978-989-54148-7-1
Ribeiro, S., Henriques, R. & Castelli, M. (2018). Modelo de otimização. In T. Rodrigues, & M. Painho (Eds.), Modelos preditivos e segurança pública (pp. 281-302). Porto: Fronteira do Caos. ISBN: 978-989-54148-7-1
Monteiro, V., Henriques, R., Painho, M., & Vaz, E. (2014). Sensing World Heritage. In B. Murgante, S. Misra, A. C. Rocha, C. Torre, J. Rocha, M. Falcão, D. Taniar, B. Apduhan & O. Gervasi (Eds.), Computational Science and Its Applications – ICCSA 2014 (Vol. 8580, pp. 404-419): Springer International Publishing.
Henriques, R., Lobo, V., & Bação, F. (2012). Spatial Clustering Using Hierarchical SOM. In M. Johnsson (Ed.), Applications of Self-Organizing Maps: InTech.
Henriques, R., Bação, F., & Lobo, V. (2009). Cartograms, Self-Organizing Maps, and Magnification Control. Paper presented at the Advances in Self-Organizing Maps 7th International Workshop, WSOM 2009, St. Augustine, USA.
Henriques, R., Bacao, F., & Lobo, V. (2009). GeoSOM Suite: A Tool for Spatial Clustering. In O. Gervasi, D. Taniar, B. Murgante, A. Lagana, Y. Mun & M. L. Gavrilova (Eds.), Computational Science and Its Applications - Iccsa 2009, Pt I (Vol. 5592, pp. 453-466). Berlin: Springer-Verlag Berlin.
Henriques, R., Bacao, F., & Lobo, V. (2009). UAV path planning based on event density detection. In S. Dragicevic, D. Roman & V. Tanasescu (Eds.), International Conference on Advanced Geographic Information Systems and Web Services: Geows 2009, Proceedings (pp. 112-116). Los Alamitos: IEEE Computer Soc.
Publicações em Atas de Conferência Científica
Alceo, P., & Henriques, R. (2019). Sports Analytics: maximizing precision in predicting MLB base hits. In A. Fred, & J. Filipe (Eds.), Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) (pp. 190-201). (IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management; Vol. 1). SciTePress. https://doi.org/10.5220/0008362201900201
Dias, H., & Henriques, R. (2019). Augmenting data warehousing architectures with Hadoop. In Proceedings of the 19th Portuguese Association of Information Systems Conferemce: digital disruption: living between data science, IoT and ... people (pp. 27). Associação Portuguesa de Sistemas de Informação.
Duarte, A., Henriques, R., & Ribeiro, S. (2019). Use of different optimization algorithms to define service areas of police stations in Portugal . In Evidence-based territorial policymaking: formulation, implementation and evaluation of policy: 26th APDR Congress Proceedings (pp. 108-115). Associacao Portuguesa para o Desenvolvimento Regional (APDR).
Joshi, A., Pebesma, E., Henriques, R., & Appel, M. (2019). Scidb based framework for storage and analysis of remote sensing big data. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 42(5/W3), 43-47. https://doi.org/10.5194/isprs-archives-XLII-5-W3-43-2019
Bernardo, I., Henriques, R., & Lobo, V. (2018). Social market: Stock market and twitter correlation. In Intelligent Decision Technologies 2017: Proceedings of the 9th KES International Conference on Intelligent Decision Technologies, KES-IDT 2017 (pp. 341-356) (advanced online publication on 26 May 2017). (Smart Innovation, Systems and Technologies; Vol. 73). DOI: 10.1007/978-3-319-59424-8_32
de Campos, S. R. M., & Henriques, R. (2018). The knowledge discovery through the student's higher education census data. In Proceedings of CISTI 2018: 13th Iberian Conference on Information Systems and Technologies [Memorias de la CISTI 2018: 13a Conferencia Iberica de Sistemas y Tecnologias de Informacion] (Vol. 2018, pp. 1-6). IEEE Computer Society. DOI: 10.23919/CISTI.2018.8399164
Galvao, M., & Henriques, R. (2018). Forecasting model of a movie's profitability. In Proceedings of CISTI 2018: 13th Iberian Conference on Information Systems and Technologies [Memorias de la CISTI 2018: 13a Conferencia Iberica de Sistemas y Tecnologias de Informacion] (Vol. 2018, pp. 1-6). IEEE Computer Society. DOI: 10.23919/CISTI.2018.8399184
Henriques, R., & Feiteira, I. (2018). Predictive modelling: Flight delays and associated factors, Hartsfield-Jackson Atlanta international airport. Procedia Computer Science, 138, 638-645. CENTERIS - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist - International Conference on Health and Social Care Information Systems and Technologies, CENTERIS/ProjMAN/HCist, 21-23 november 2018, Lisbon, Portugal. https://doi.org/10.1016/j.procs.2018.10.085
Tsakalos, V., & Henriques, R. (2018). Sentiment classification using N-ary tree-structured gated recurrent unit networks. In A. Fred, & J. Filipe (Eds.), Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) (Vol. 1, pp. 149-154). (IC3K 2018; Seville; Spain; 18-September) Scitepress. ISBN: 978-989-758-330-8. DOI: 10.5220/0006894201490154
Monteiro, R. Cabral, P. D. C. B., & Henriques, R. (2017). Crawling public massive data to solve air traffic data issues. In Atas da 12a Conferencia Iberica de Sistemas e Tecnologias de Informacao, CISTI 2017 / Proceedings of the 12th Iberian Conference on Information Systems and Technologies, CISTI 2017 [7976006] IEEE Computer Society. DOI: 10.23919/CISTI.2017.7976006
De Campos, S. R. M., Henriques, R., & Yanaze, M. H. (2016). Governance of higher education institutions in brazil: An exploratory study based on supply and demand conditions. Paper presented at the Advances in Intelligent Systems and Computing.
Caineta, J., Ribeiro, S., Henriques, R., & Costa, A. C. (2015, 22-27 February). A Package for the homogenisation of climate data using geostatistical simulation. Paper presented at the GEOProcessing 2015: The Seventh International Conference on Advanced Geographic Information Systems, Applications, and Services, Lisbon, Portugal.
Ribeiro, S., Caineta, J., Costa, A. C., & Henriques, R. (2015, 9-12 June). Analysing the detection and correction parameters in the homogenisation of climate data series using gsimcli. Paper presented at the 18th AGILE International Conference on Geographic Information Science, Lisbon, Portugal.
Caineta, J., Ribeiro, S., Costa, A. C., Henriques, R., & Soares, A. (2014, 27 April - 2 May). Inhomogeneities detection in annual precipitation time series in Portugal using direct sequential simulation. Paper presented at the EGU General Assembly Conference, Vienna.
Caineta, J., Ribeiro, S., Henriques, R., Soares, A., & Costa, A. C. (2014, 27 April - 2 May). Benchmarking a geostatistical procedure for the homogenisation of annual precipitation series. Paper presented at the EGU General Assembly Conference, Vienna.
Fernandes, L., Henriques, R., & Lobo, V. (2014). Selection of instances in Condition Based Monitoring: the case of aircraft engines. Paper presented at the Maintenance Performance Measurement and Management (MPMM) Conference 2014, Coimbra.
Ribeiro, S., Caineta, J., Henriques, R., Soares, A., & Costa, A. C. (2014, 27 April - 2 May). Advantages and applicability of commonly used homogenisation methods for climate data. Paper presented at the European Geosciences Union General Assembly 2014, Vienna, Austria.
Gomes, H., Neto, M., & Henriques, R. (2013, 19-22 June). Text Mining: Análise de sentimentos na classificação de notícias. Paper presented at the 8ª Conferência Ibérica de Sistemas e Tecnologias de Informação, Lisboa, Portugal.
Miranda, H., & Henriques, R. (2013, 19-22 June). Building Clusters For CRM Strategies By Mining Airlines Customer Data. Paper presented at the 8ª Conferência Ibérica de Sistemas e Tecnologias de Informação, Lisboa, Portugal.
Painho, Marco; Teresa Ferreira Rodrigues; Tiago H. Moreira de Oliveira; Alexandre Alves Coimbra; Luís Fiães Fernandes; Pedro Cabral; Roberto Henriques; Miguel Neto; Flávio Alves. A Framework for a Spatial Analysis Model for Homeland Security (Quadro de referência de Análise Espacial Aplicado à Segurança Interna). In Proceedings of the X Congresso da ADEH (Associação de Demografia Histórica), Albacete, Spain, June 18 – 21, 2013.
Pires, P., & Henriques, R. (2013, 19-22 June). Predicting Human Creativity Perception In Visual Arts. Paper presented at the 8ª Conferência Ibérica de Sistemas e Tecnologias de Informação, Lisboa, Portugal.
Oliveira, T., Painho, M., & Henriques, R. (2012, November 6). A spatial decision support system for the Portuguese public transportation sector. Paper presented at the IWGS 2012 - ACM SIGSPATIAL International workshop on Geostreaming, California.
Painho, M., Henriques, R., Oliveira, T. M., Seabra, I., Leitão, J., Laginha, C., & Neves, M. (2012). Outputs from SIGGESC: bus lines management geographic information system. Paper presented at the ESRI International Conference, California.
Painho, M., Henriques, R., Oliveira, T., Calbet, Ó., Ribeiro, T., Pires, R., . . . Leitão, J. (2011, March 2 – 3). Sistema de Informação Geográfica de Gestão de Carreiras – SIGGESC. Paper presented at the 9º Encontro de Utilizadores Esri Portugal (EUE 2011), Lisboa, Portugal.
Painho, M., Oliveira, T. M. d., & Henriques, R. (2011, 19, 20 e 21 de Outubro). A Decision Support System for the Public Transportation Sector: The SIGGESC Project. Paper presented at the 11ª Conferência da Associação Portuguesa de Sistemas de Informação (CAPSI 2011), Lisboa.
Painho, M., Oliveira, T. M. d., Henriques, R., Seabra, I., & Leitão, J. (2011, 11-15 July). Outputs from SIGGESC: Bus Lines Management Geographic Information System. Paper presented at the ESRI International User Conference, San Diego, Califórnia.
Henriques, R., Bacao, F., & Lobo, V. (2010, 10-16 February). Spatial Clustering with SOM and GeoSOM Case study of Lisbon's Metropolitan Area. Paper presented at the Geoprocessing 2010 - Second International Conference on Advanced Geographic Information Systems, Applications, and Services, St Maarten, Netherlands Antilles.
Peixoto, M., Painho, M., Henriques, R., Neto, M., & Correia, A. M. (2008, May 14-16). Distância Física Vs Distância Social: Caso de Estudo com os Alunos da 7ª Edição do Curso de Mestrado em Ciência & Sistemas de Informação Geográfica do ISEGI-UNL. Paper presented at the ESIG2008 - X Encontro de Utilizadores de Informação Geográfica, Oeiras, Portugal.

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