Publications

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2009

Tinoco J., Correia A. G., and Cortez P., "A data mining approach for jet grouting uniaxial compressive strength prediction", NaBIC 2009 - World Congress on Nature & Biologically Inspired Computing, pp. 552–558, 2009.

Correia A. G., Valente T., Tinoco J., Falcão J., Barata J., Cebola D., and Coelho S., "Evaluation of mechanical properties of jet-grouting columns using different test methods", Proceedings of the 17th International Conference on Soil Mechanics and Geotechnical Engineering: The Academia and Practice of Geotechnical Engineering, pp. 2169–2171, 2009.

2010

Tinoco J., Correia A. G., and Cortez P., "Aplicação das técnicas de data mining na previsão do comportamento mecânico de colunas de Jet Grouting", Geotecnia e Desenvolvimento Sustentável: Actas do 12º Congresso Nacional de Geotecnia, pp. 2167–2176, 2010.

Tinoco J., Correia A. G., and Cortez P., "Application of data mining techniques to estimate elastic young modulus over time of jet grouting laboratory formulations", ICITG - International Conference on Information Technology in Geo-Engineering, pp. 92–100, 2010.

2011

Tinoco J., Correia A. G., and Cortez P., "Application of data mining techniques in the estimation of mechanical properties of jet grouting laboratory formulations over time", WSC15 - The 15th Online World Conference on Soft Computing in Industrial Applications, pp. 283–292, 2011.

Tinoco J., Correia A. G., and Cortez P., "Application of data mining techniques in the estimation of the uniaxial compressive strength of jet grouting columns over time", Construction and Building Materials, vol. 25, no. 3, pp. 1257–1262, 2011.

Year: 2011 | JCR: Q1 | SJR: Q1

Tinoco J., Correia A. G., and Cortez P., "A data mining approach for predicting jet grouting geomechanical parameters", Geotechnical Special Publication, vol. 223, pp. 97–104, 2011.

Tinoco J., Correia A. G., and Cortez P., "Uniaxial compressive strength prediction of jet grouting columns using support vector machines", ESM 2011 - 25th European Simulation and Modelling Conference, pp. 326–330, 2011.

Tinoco J., Correia A. G., and Cortez P., "Using data mining techniques to predict deformability properties of jet grouting laboratory formulations over time", Lecture Notes in Computer Science, vol. 7026, no. 1, pp. 491–505, 2011.

Year: 2011 | JCR: SQ

2012

Tinoco J., Correia A. G., and Cortez P., "Application of a sensitivity analysis procedure to interpret uniaxial compressive strength prediction of jet grouting laboratory formulations performed by SVM model", ISSMGE - TC 211 International Symposium on Ground Improvement (IS-GI Brussels 2012), vol. IV, pp. 317–326, 2012.

Correia A. G., Cortez P., and Tinoco J., "Application of data mining in transportation geotechnics", Advances in Ground Technology and Geo-Information (IS-AGTG) : proceedings of the International Symposium, pp. 1–16, 2012.

Tinoco J., Correia A. G., and Cortez P., "Application of data mining techniques to jet Grouting Columns Design", Programa Doutoral em Engenharia Civil, 2012.

Tinoco J., Correia A. G., and Cortez P., "Jet grouting deformability modulus prediction using data mining tools", Advances in Transportation Geotechnics 2, pp. 168–173, 2012.

Tinoco J., Correia A. G., and Cortez P., "Jet grouting mechanicals properties prediction using data mining techniques", Geotechnical Special Publication, vol. 228, no. 1, pp. 2082–2091, 2012.

Tinoco J., Correia G. A., and Cortez P., "Previsão do comportamento mecânico de formulações laboratoriais de solo-cimento para colunas de jet grouting com recurso a máquina de vetores de suporte", Engenharia Civil: Revista do Departamento de Engenharia Civil da Universidade do Minho, vol. 42, pp. 43–55, 2012.

Tinoco J., Correia A. G., and Cortez P., "Utilização de máquina de vetores de suporte na previsão do comportamento mecânico de formulações laboratoriais de solo-cimento para colunas de jet grouting", 13º Congresso Nacional de Geotecnia: Pensar e Construir com a Natureza. Uma Visão para a Engenharia, pp. 335–336, 2012.

2013

Correia A. G., Tinoco J., Pinto A., and Tomasio R., "An Anchored Retaining Wall in CSM", 18th International Conference on Soil Mechanics and Geotechnical Engineering (18th ICSMGE), pp. 1987–1990, 2013.

Correia A. G., Cortez P., Tinoco J., and Marques R., "Artificial intelligence applications in transportation geotechnics", Geotechnical and Geological Engineering, vol. 31, no. 3, pp. 861–879, 2013.

Year: 2013 | SJR: Q1

Tinoco J., Correia A. G., and Cortez P., "Data-driven models for uniaxial compressive strength prediction applied to unseen data", ESM 2013 - 27th European Simulation and Modelling Conference, pp. 183–187, 2013.

Tinoco J., and Correia A. G., "Prediction of soil-cement mechanical properties using EC2 approach", Advanced Materials Research, vol. 779-780, pp. 286–289, 2013.

Year: 2013 | SJR: Q3

2014

Tinoco J., Correia A. G., and Cortez P., "A Novel Approach to Predicting Young’s Modulus of Jet Grouting Laboratory Formulations over Time using Data Mining Techniques", Engineering Geology, vol. 169, pp. 50–60, 2014.

Year: 2014 | JCR: Q1 | SJR: Q1

Tinoco J., Correia A. G., and Cortez P., "Support vector machines applied to uniaxial compressive strength prediction of jet grouting columns", Computers and Geotechnics, vol. 55, pp. 132–140, 2014.

Year: 2014 | JCR: Q2 | SJR: Q1

2015

Freitas, E.F., Tinoco J., Soares F., Costa J. O., Cortez P., and Pereira P., "Modelling tyre-road noise with data mining techniques", Archives of Acoustics, vol. 40, issue 4, doi:10.1515/aoa-2015-0054, 2015.

Year: 2015 | JCR: Q4 | SJR: Q2

2018

Moreira A. V., Tinoco J., Oliveira J. R. M., and Santos A., "An application of Markov chains to predict the evolution of performance indicators based on pavement historical data", International Journal of Pavement Engineering, vol. 19, issue 10, pp. 937 - 948, doi:10.1080/10298436.2016.1224412, 2018.

Year: 2017 | JCR: Q1 | SJR: Q1

About CTAC

The Centre for Territory, Environment and Construction (CTAC) is a research unit of the School of Engineering of University of Minho (UMinho), recognised by the “FCT – Fundação para a Ciência e Tecnologia” (Foundation for Science and Technology), associated to the Department of Civil Engineering (DEC), with whom it shares resources and namely human resources.

Currently CTAC aggregates 25 researchers holding a PhD of which 20 are faculty professors of the Civil Engineering Department. Read more

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