Outputs (55)

Symbols classification in engineering drawings. (2018)
Conference Proceeding
ELYAN, E., MORENO GARCIA, C. and JAYNE, C. 2018. Symbols classification in engineering drawings. In Proceedings of the 2018 International joint conference on neural networks (IJCNN 2018), 8-13 July 2018, Rio de Janeiro, Brazil. Piscataway, NJ: IEEE [online], article number 8489087. Available from: https://doi.org/10.1109/IJCNN.2018.8489087

Technical drawings are commonly used across different industries such as Oil and Gas, construction, mechanical and other types of engineering. In recent years, the digitization of these drawings is becoming increasingly important. In this paper, we p... Read More about Symbols classification in engineering drawings..

Digital interpretation of sensor-equipment diagrams. (2018)
Conference Proceeding
MORENO-GARCÍA, C.F. 2018. Digital interpretation of sensor-equipment diagrams. In Martin, K., Wiratunga, N. and Smith, L.S. (eds.) Proceedings of the 2018 Scottish Informatics and Computer Science Alliance (SCISA) workshop on reasoning, learning and explainability (ReaLX 2018), 27 June 2018, Aberdeen, UK. CEUR workshop proceedings, 2151. Aachen: CEUR-WS [online], session 2, paper 1. Available from: http://ceur-ws.org/Vol-2151/Paper_s2.pdf

A sensor-equipment diagram is a type of engineering drawing used in the industrial practice that depicts the interconnectivity between a group of sensors and a portion of an Oil & Gas facility. The interpretation of these documents is not a straightf... Read More about Digital interpretation of sensor-equipment diagrams..

New trends on digitisation of complex engineering drawings. (2018)
Journal Article
MORENO-GARCIA, C.F., ELYAN, E. and JAYNE, C. 2019. New trends on digitisation of complex engineering drawings. Neural computing and applications [online], 31(6): selected papers from the proceedings of the 18th Engineering applications of neural networks conference (EANN 2017), 25-27 August 2017, Athens, Greece, pages 1695-1712. Available from: https://doi.org/10.1007/s00521-018-3583-1

Engineering drawings are commonly used across different industries such as oil and gas, mechanical engineering and others. Digitising these drawings is becoming increasingly important. This is mainly due to the legacy of drawings and documents that m... Read More about New trends on digitisation of complex engineering drawings..

Heuristics-based detection to improve text/graphics segmentation in complex engineering drawings. (2017)
Conference Proceeding
MORENO-GARCÍA, C.F., ELYAN, E. and JAYNE, C. 2017. Heuristics-based detection to improve text/graphics segmentation in complex engineering drawings. In Boracchi, G., Iliadis, L., Jayne, C. and Likas, A. (eds.) Engineering applications of neural networks: proceedings of the 18th International engineering applications of neural networks (EANN 2017), 25-27 August 2017, Athens, Greece. Communications in computer and information science, 744. Cham: Springer [online], pages 87-98. Available from: https://doi.org/10.1007/978-3-319-65172-9_8

The demand for digitisation of complex engineering drawings becomes increasingly important for the industry given the pressure to improve the efficiency and time effectiveness of operational processes. There have been numerous attempts to solve this... Read More about Heuristics-based detection to improve text/graphics segmentation in complex engineering drawings..

An edit distance between graph correspondences. (2017)
Conference Proceeding
MORENO-GARCIA, C.F., SERRATOSA, F. and JIANG, X. 2017. An edit distance between graph correspondences. In Foggia, P., Liu, C.-L. and Vento, M (eds.) 2017. Graph-based representations in pattern recognition: proceedings of the 11th Image analysis in patter recognition technical committee 15th (IAPR-TC-15) international workshop (GbRPR 2017), 16-18 May 2017, Anacapri, Italy. Cham: Springer [online], pages 232-241. Available from: https://doi.org/10.1007/978-3-319-58961-9_21

The Hamming Distance has been largely used to calculate the dissimilarity of a pair of correspondences (also known as labellings or matchings) between two structures (i.e. sets of points, strings or graphs). Although it has the advantage of being sim... Read More about An edit distance between graph correspondences..

Generalised median of a set of correspondences based on the hamming distance. (2016)
Conference Proceeding
MORENO-GARCÍA, C.F., SERRATOSA, F. and CORTÉS, X. 2016. Generalised median of a set of correspondences based on the hamming distance. In: Robles-Kelly A., Loog M., Biggio B., Escolano F., Wilson R. (eds.) Structural, syntatic and statistical pattern recognition: proceedings of the 2016 Joint International Association of Pattern Recognition (IAPR) structural, syntatic and statistical pattern recognition international workshop (S+SSPR 2016), 29 November - 2 December 2016, Mérida, Mexico. Lecture Notes in Computer Science, vol 10029. Cham: Springer, pages 507-518. Available from: https://doi.org/10.1007/978-3-319-49055-7_45

A correspondence is a set of mappings that establishes a relation between the elements of two data structures (i.e. sets of points, strings, trees or graphs). If we consider several correspondences between the same two structures, one option to defin... Read More about Generalised median of a set of correspondences based on the hamming distance..

A graph repository for learning error-tolerant graph matching. (2016)
Conference Proceeding
MORENO-GARCÍA, C.F., CORTÉS, X. and SERRATOSA, F. 2016. A graph repository for learning error-tolerant graph matching. In Robles-Kelly, A., Loog, M., Biggio, B., Escolano, F. and Wilson, R. (eds.) Structural, syntactic and statistical pattern recognition: proceedings of 2016 Joint International Association of Pattern Recognition (IAPR) Structural and syntactic pattern recognition internaional workshops (SSPR 2016), and Statistical techniques in pattern recognition (SPR 2016) (S+SSPR 2016), 20 November - 2 December 2016, Mérida, Mexico. Lecture notes in computer science, 10029. Cham: Springer [online], pages 519-529. Available from: https://doi.org/10.1007/978-3-319-49055-7_46

In the last years, efforts in the pattern recognition field have been especially focused on developing systems that use graph based representations. To that aim, some graph repositories have been presented to test graph-matching algorithms or to lear... Read More about A graph repository for learning error-tolerant graph matching..

Obtaining the consensus of multiple correspondences between graphs through online learning. (2016)
Journal Article
MORENO-GARCÍA, C.F. and SERRATOSA, F. 2017. Obtaining the consensus of multiple correspondences between graphs through online learning. Pattern recognition letters [online], 87, pages 79-86. Available from: https://doi.org/10.1016/j.patrec.2016.09.003

In structural pattern recognition, it is usual to compare a pair of objects through the generation of a correspondence between the elements of each of their local parts. To do so, one of the most natural ways to represent these objects is through att... Read More about Obtaining the consensus of multiple correspondences between graphs through online learning..

Semi-automatic pose estimation of a fleet of robots with embedded stereoscopic cameras. (2016)
Conference Proceeding
CORTÉS, X., SERRATOSA, F. and MORENO-GARCIA, C.-F. 2016. Semi-automatic pose estimation of a fleet of robots with embedded stereoscopic cameras. In Proceedings of 21st Institute of Electrical Electronic Engineers (IEEE) Emerging technologies and factory automation international conference 2016 (ETFA 2016), 6-9 September 2016, Berlin, Germany. Piscataway: IEEE [online], article ID 7733640. Available from: https://doi.org/10.1109/ETFA.2016.7733640

Given a fleet of robots, automatic estimation of the relative poses between them could be inaccurate in specific environments. We propose a framework composed by the fleet of robots with embedded stereoscopic cameras providing 2D and 3D images of the... Read More about Semi-automatic pose estimation of a fleet of robots with embedded stereoscopic cameras..

Unsupervised machine learning application to perform a systematic review and meta-analysis in medical research. (2016)
Journal Article
MORENO-GARCÍA, C.F., ACEVES-MARTINS, M. and SERRATOSA, F. 2016. Unsupervised machine learning application to perform a systematic review and meta-analysis in medical research. Computación y sistemas [online], 20(1), pages 7-17. Available from: https://doi.org/10.13053/CyS-20-1-2360

When trying to synthesize information from multiple sources and perform a statistical review to compare them, particularly in the medical research field, several statistical tools are available, most common are the systematic review and the meta-anal... Read More about Unsupervised machine learning application to perform a systematic review and meta-analysis in medical research..