Carlos F. Moreno-Garcia: List of Publications

2024

(67) T. Dang, T. T. Nguyen, J. McCall, E. Elyan & C. F. Moreno-García, “Two-layer ensemble of deep learning models for medical image segmentation”, Cognitive Computation, 2024, pp. 1-20. https://doi.org/10.1007/s12559-024-10257-5. Impact Factor: 5.4.

2023

(66) P. Johnston, M. Zarb & C. F. Moreno-García, “Student Interaction with a Virtual Learning Environment: An Empirical Study of Online Engaging Behaviours During and Since the time of COVID-19”, 2023 IEEE Frontiers in Education Conference (FIE), College Station, TX, USA, 2023, pp. 1-8. https://doi.org/10.1109/FIE58773.2023.10343048.

(65) A. Cervantes-Guzmán, K. McPherson, J. Olveres, C. F. Moreno-García, F. T. Robles, E. Elyan, B. Escalante-Ramírez, “Robust cardiac segmentation corrected with heuristics”, PLOS ONE 18(10): e0293560. https://doi.org/10.1371/journal.pone.0293560.

(64) R. Ofori-Boateng, M.Aceves-Martins, C. Jayne, N. Wiratunga & C. F. Moreno-García, “Evaluation of Attention-Based LSTM and Bi-LSTM Networks for Abstract Text Classification in Systematic Literature Reviews”, Procedia Computer Science, vol. 222, pp. 114-126. https://doi.org/10.1016/j.procs.2023.08.149.

(63) C. Pirie, N. Wiratunga, A. Wijekoon & C. F. Moreno-García, “AGREE: A Feature Attribution Aggregation Framework to Address Explainer Disagreements with Aligned Metrics”, XCBR: Workshop on Case-Based Reasoning for the Explanation of Intelligent Systems, International Conference on Case-Based Reasoning (ICCBR) 2023, Aberdeen, UK, CEUR Workshop Proceedings, vol. 3438, pp. 184-199. https://ceur-ws.org/Vol-3438/paper_14.pdf.

(62) L. A. Toral-Quijas, E. Elyan., C. F. Moreno-García & J. Stander, “Digital Transformation for Offshore Assets: A Deep Learning Framework for Weld Classification in Remote Visual Inspections”, International Conference on Engineering Applications of Neural Networks (EANN) 2023, Leon, Spain, Communications in Computer and Information Science, vol. 1826, pp. 217-226. Springer. https://doi.org/10.1007/978-3-031-34204-2_19.

(61) C. F. Moreno-García, C. Jayne, E. Elyan & M. Aceves-Martins, “A novel application of machine learning and zero-shot classification methods for automated abstract screening in systematic reviews”, Decision Analytics Journal, vol. 6, March 2023, 100162. https://doi.org/10.1016/j.dajour.2023.100162.

2022

(60) E. Rica, C. F. Moreno-García, S. Álvarez, F. Serratosa, “Zero-Error Digitisation and Contextualisation of Piping and Instrumentation Diagrams Using Node Classification and Sub-graph Search”, In: A. Krzyzak, C. Y. Suen, A. Torsello, N. Nobile (eds), Structural, Syntactic, and Statistical Pattern Recognition (S+SSPR) 2022, Montreal, Canada, Lecture Notes in Computer Science, vol. 13813, Springer, Cham. https://doi.org/10.1007/978-3-031-23028-8_28.

(59) “Obesity and its association with mental health among Mexican children and adolescents: systematic review”, Nutrition Reviews, 2022, nuac083. https://doi.org/10.1093/nutrit/nuac083. Impact Factor: 7.110.

(58) C. Jayne, “Cross domain evaluation of text detection models”, In: Pimenidis, E., Angelov, P., Jayne, C., Papaleonidas, A., Aydin, M. (eds) Artificial Neural Networks and Machine Learning - ICANN 2022. Lecture Notes in Computer Science, vol 13531. Springer, Cham. https://doi.org/10.1007/978-3-031-15934-3_5.

(57) , “TransSLC: Skin Lesion Classification in Dermatoscopic Images Using Transformers”, In: Yang, G., Aviles-Rivero, A., Roberts, M., Shönlieb, CB (eds) Medical Image Understanding and Analysis (MIUA) 2022, Cambridge, UK, Lecture Notes in Computer Science, vol 13413, pp. 651-660. Springer, Cham. https://doi.org/10.1007/978-3-031-12053-4_48.

(56) C. F. Moreno-Garcia & F. Serratosa. “A general framework for partial to full image registration”, ArXiV Preprints. https://arxiv.org/abs/2207.06387.

(55) M. Aceves-Martins, L. López-Cruz, M. García-Botello, N. L. Godina-Flores, Y. Y. Gutiérrez-Gómez & C. F. Moreno-García, “Cultural factors related to childhood and adolescent obesity in Mexico: a systematic review of qualitative studies”, Obesity Reviews. https://doi.org/10.1111/obr.13461. Impact Factor: 9.213.

(54) M. Aceves-Martins, N. L. Godina-Flores, Y. Y. Gutiérrez-Gómez, D. Richards, L. López-Cruz, M. García-Botello, & C. F. Moreno-García, “Obesity and oral health in Mexican children and adolescents: systematic review and meta-analysis”, Nutrition Reviews, vol. 80, issue 6, June 2022, pp. 1694-1710. https://doi.org/10.1093/nutrit/nuab088. Impact Factor: 5.788.

(53) D. Magallan-Ramirez, A. Rodriguez-Tirado, J. D. Martinez-Aguilar, D. Balderas, E. O. Lopez-Caudana & C. F. Moreno-García, “Implementation of NAO robot maze navigation based on computer vision and collaborative learning”, Frontiers in Robotics and AI 2022, vol 9. https://doi.org/10.3389/frobt.2022.834021. CiteScore: 4.4.

(52) E. Elyan, P. Vuttipittayamongkol, P. Johnston, K. Martin, K. McPherson, C. F. Moreno-García, C. Jayne & M. M. K. Sarker, “Computer vision and machine learning for medical image analysis: recent advances, challenges and way forward”, Artificial Intelligence Surgery 2022, Volume 2, pp. 24-45. http://dx.doi.org/10.20517/ais.2021.15.

(51) A. Blaizot, S. K. Veettil, P. Saidoung, C. F. Moreno-García, N. Wiratunga, M. Aceves-Martins, N. M. Lai & N. Chaiyakunapruk, “Using artificial intelligence methods for systematic review in health sciences: A systematic review”, Research Synthesis Methods, 2022. https://doi.org/10.1002/jrsm.1553. Impact Factor: 5.273.

2021

(50) M. Aceves-Martins, L. López-Cruz, M. García-Botello, Y. Y. Gutiérrez-Gómez & C. F. Moreno-García, “Interventios to prevent obesity in Mexican children and adolescents: systematic review”, Prevention Science, 2021. https://doi.org/10.1007/s11121-021-01316-6. Impact Factor: 4.056.

(49) C. F. Moreno-García, C. Jayne & E. Elyan, “Class-decomposition and augmentation for imbalanced data sentiment analysis”, 2021 International Joint Conference on Neural Networks (IJCNN), 2021, pp. 1-7. https://doi.org/10.1109/IJCNN52387.2021.9533603.

(48) L. Toral, C. F. Moreno-García, E. Elyan & S. Memon, “A deep learning digitisation framework to mark up corrosion circuits in piping and instrumentation diagrams”, In: Barney Smith E.H., Pal, U. (eds.) Document Analysis and Recognition - ICDAR 2021 Workshops. ICDAR 2021. Lecture Notes in Computer Science, vol 12917, pp. 268-276. Springer Cham. https://doi.org/10.1007/978-3-030-86159-9_18.

(47) T. Dang, T. T. Nguyen, C. F. Moreno-García, E. Elyan & J. McCall, “Weighted ensemble of deep learning models based on comprehensive learning particle swarm optimization for medical image segmentation”, Proceedings of 2021 IEEE Congress on Evolutionary Computation (CEC 2021), 28 June - 1 July 2021, Virtual conference, pp. 744-751. https://doi.org/10.1109/CEC45853.2021.9504929.

(46) M. Aceves-Martins, L. López-Cruz, M. García-Botello, Y. Y. Gutiérrez-Gómez & C. F. Moreno-García, “Interventions to treat obesity in Mexican children and adolescents: systematic review and meta-analysis”, Nutrition Reviews, 2021, nuab041. https://doi.org/10.1093/nutrit/nuab041. Impact Factor: 7.110.

(45) A. Ali-Gombe, E. Elyan, C. F. Moreno-García & J. Zwiegelaar, “Face detection with YOLO on Edge”, L.Iliadis, J. MacIntyre, C. Jayne, E. Pimenidis (eds.), Proceedings of the 22nd Engineering Applications of Neural Networks Conference. EANN 2021. Proceedings of the International Neural Networks Society, vol 3, pp. 284-292. Springer, Cham. https://doi.org/10.1007/978-3-030-80568-5_24.

(44) C. Pirie & C. F. Moreno-García, “Image pre-processing and segmentation for real-time subsea corrosion inspection”, L.Iliadis, J. MacIntyre, C. Jayne, E. Pimenidis (eds.), Proceedings of the 22nd Engineering Applications of Neural Networks Conference. EANN 2021. Proceedings of the International Neural Networks Society, vol 3, pp. 220-231. Springer, Cham. https://doi.org/10.1007/978-3-030-80568-5_19.

(43) D. Magallan-Ramirez, A. Rodriguez-Tirado, J. D. Martinez-Aguilar, C. F. Moreno-García, D. Balderas & E. O. Lopez-Caudana, “Implementation of NAO robot maze navigation based on computer vision and collaborative learning”, Preprints 2021, 2021060037. https://doi.org/10.20944/preprints202106.0037.v1.

(42) T. Dang, T. Nguyen, J. McCall, E. Elyan & C. F. Moreno-García, “Two layer ensemble of deep learning models for medical image segmentation”, arXiv e-prints, 2021. https://arxiv.org/abs/2104.04809.

(41) A. Rodriguez-Tirado, D. Magallan-Ramirez, J.D. Martinez-Aguilar, C. F. Moreno-García, D. Balderas & E. Lopez-Caudana, “A pipeline framework for robot maze navigation using computer vision, path planning and communication protocols”, 13th International Conference on Developments in eSystems, Engineering (DeSE), 2020, pp. 152-157. https://doi.org/10.1109/DeSE51703.2020.9450731.

(40) E. Cortés Gallardo Medina, V. M. Velazquez Espitia, D. Chípuli Silva, S. Fernández Ruiz de las Cuevas, M. Palacios Hirata, A. Zhu Chen, J. A. González González, R. Bustamante-Bello & C. F. Moreno-García, “Object Detection, Distributed Cloud Computing and Parallelization Techniques for Autonomous Driving Systems”, Applied Sciences 2021, Volume 11, no. 7, 2925. https://doi.org/10.3390/app11072925. Impact Factor: 2.474.

2020

(39) A. Anbalagan & C. F. Moreno-García, “An IoT based industry 4.0 architecture for integration of design and manufacturing systems”, Materials today: Proceedings. https://doi.org/10.1016/j.matpr.2020.11.196.

(38) L. Jamieson, C. F. Moreno-García, E. Elyan, “Deep learning for text detection and recognition in complex engineering diagrams”, International Joint Conference on Neural Networks (IJCNN 2020), Glasgow, United Kingdom. https://doi.org/10.1109/IJCNN48605.2020.9207127.

(37) C. F. Moreno-García, P. Johnston, B. Garkuwa, “Pixel-based layer segmentation of complex engineering drawings using convolutional neural networks”, International Joint Conference on Neural Networks (IJCNN 2020), Glasgow, United Kingdom. https://doi.org/10.1109/IJCNN48605.2020.9207479.

(36) C. F. Moreno-García,T. Dang, K. Martin, et. al, “Assessing the clinicians' pathway to embed artificial intelligence for assisted diagnostics of fracture detection”, Proceedings of the 5th International Workshop of Knowledge Discovery in Healthcare Data, co-located with 24th European Conference on Artificial Intelligence (ECAI 2020), Santiago de Compostela, Spain, Volume 2675, pp. 63–70. http://ceur-ws.org/Vol-2675/paper10.pdf.

(35) E. Elyan, C. F. Moreno-García, C. Jayne, “CDSMOTE: class decomposition and synthetic minority class oversampling technique for imbalanced-data classification”, Neural Computing and Applications, 2020. https://doi.org/10.1007/s00521-020-05130-z. Impact Factor: 4.774.
(34) E. Elyan, C. F. Moreno-García, P. Johnston, “Symbols in Engineering Drawings (SiED): An Imbalanced Dataset Benchmarked by Convolutional Neural Networks”, Engineering Applications of Neural Networks (EANN 2020), Halkidiki, Greece, INNS 2, pp. 215–224. https://doi.org/10.1007/978-3-030-48791-1_16

(33) E. Rica, C. F. Moreno-García, S. Álvarez, F. Serratosa, “Reducing human effort in engineering drawing validation”, Computers in Industry, Volume 117, May 2020, 103198. https://doi.org/10.1016/j.compind.2020.103198. Impact Factor: 4.769.

2019
(32) E. Cortés-Gallardo, C. F. Moreno-García, A. Zhu, D. Chípuli-Silva, J. Gonzalez-González, D. Morales-Ortiz, S. Fernández, B. Urriza, J. Valverde-López, J Izquierdo Reyes & R. Bustamante-Bello, “A Comparison of Feature Extractors for Panorama Stitching in an Autonomous Car Architecture”, International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE 2019), Cuernavaca, Mexico. https://doi.org/10.1109/ICMEAE.2019.00017.
(31) C. F. Moreno-García & E. Elyan, “Digitisation of Assets from the Oil & Gas Industry: Challenges and Opportunities”, International Conference on Document Analysis and Recognition (ICDAR 2019), Sydney, Australia, Workshop on Industrial Applications of Document Analysis and Recognition (WIADAR), pp. 16–19. https://doi.org/10.1109/ICDARW.2019.60122.
(30) C. F. Moreno-García, E. Elyan & C. Jayne, “New trends on digitisation of complex engineering drawings”, Neural Computing and Applications, vol. 31, issue 6, pp. 1695-1712, 2019. https://doi.org/10.1007/s00521-018-3583-1. Impact Factor: 3. 553.
(29) C. F. Moreno-García & F. Serratosa, “Generalised median of graph correspondences”, Pattern Recognition Letters, Available online 21 May, 2019, https://doi.org/10.1016/j.patrec.2019.21.015. Impact Factor: 1.995.

2018
(28) E. Elyan, C. F. Moreno-García & C. Jayne, “Symbols classification in engineering drawings”, International Joint Conference on Neural Networks (IJCNN 2018), Rio de Janeiro, Brazil. https://www.researchgate.net/publication/327791936_Symbols_Classification_in_Engineering_Drawings (Total reads by March 2024: 24’704). https://doi.org/10.1109/IJCNN.2018.8489087.

(27) C. F. Moreno-García, F. Serratosa & X. Jiang, “Correspondence edit distance to obtain a set of weighted means of graph correspondences”, Pattern Recognition Letters, available online 30 August, 2018, https://doi.org/10.1016/j.patrec.2018.08.027. Impact Factor: 1.995.

(26) C. F. Moreno-García & F. Serratosa, “Modelling the generalised median correspondence through an edit distance”, Structural, Syntactic, and Statistical Pattern Recognition (S+SPR 2018), Beijing, China, LNCS 11004, pp. 271-281.

(25) C. F. Moreno-García, “Digital interpretation of sensor-equipment diagrams”, Proceedings of the SICSA Workshop on Reasoning, Learning and Explainability (ReaLX 2018), Aberdeen, Scotland, CEUR Workshop Proceedings, vol. 2151, http://ceur-ws.org/Vol-2151/Paper_s2.pdf.

2017

(24) C. F. Moreno-García, E. Elyan & C. Jayne, “Heuristics-based detection to improve text/graphics segmentation in complex engineering drawings”, Engineering Applications of Neural Networks (EANN 2017), Athens, Greece, CCIS 744, pp. 87–98.

(23) C. F. Moreno-García, F. Serratosa & X. Jiang, “An edit distance between graph correspondences”, Graph Based Representations in Pattern Recognition (GbR 2017), Anacapri, Italy, LNCS 10310, pp. 232–241.

(22) C. F. Moreno-García & F. Serratosa, “Obtaining the consensus of multiple correspondences between graphs through online learning”, Pattern Recognition Letters, vol. 87, issue 1, February 2017, pp. 79-86. http://dx.doi.org/10.1016/j.patrec.2016.09.003. Impact Factor: 1.995.

(21) C. F. Moreno-García & F. Serratosa, “Correspondence consensus of two sets of correspondences through optimisation functions”, Pattern Analysis and Applications, vol. 20, issue 1, February 2017, pp. 201–213. https://doi.org/10.1007/s10044-015-0486-y. Impact Factor: 1.352.

2016

(20) C. F. Moreno-García, F. Serratosa & X. Cortés, “Generalised median of a set of correspondences based on the hamming distance”, Structural, Syntactic, and Statistical Pattern Recognition (S+SPR 2016), Merida, Mexico, LNCS 10029, pp. 507–518.

(19) F. Serratosa, X. Cortés & C. F. Moreno-García, “Graph edit distance or graph edit pseudo-distance?”, Structural, Syntactic, and Statistical Pattern Recognition (S+SPR 2016), Merida, Mexico, LNCS 10029, pp. 530–540.

(18) C. F. Moreno-García, X. Cortés & F. Serratosa, “A graph repository for learning error-tolerant graph matching”, Structural, Syntactic, and Statistical Pattern Recognition (S+SPR 2016), Merida, Mexico, LNCS 10029, pp. 519–529.

(17) X. Cortés, F. Serratosa & C. F. Moreno-García, “Semi-automatic pose estimation of a fleet of robots with embedded stereoscopic cameras”, Emerging Technologies and Factory Automation (ETFA 2016), Berlin, Germany, pp. 1-6.

(16) C. F. Moreno-García, M. Aceves-Martins & F. Serratosa, "Unsupervised machine learning application to perform a systematic review and meta-analysis in medical research", Computación y Sistemas, vol. 20 no. 1, 2016, pp. 7-17. https://doi.org/10.13053/CyS-20-1-2360.

(15) M. Aceves-Martins, E. Llauradó, L. Tarro, C. F. Moreno-García, T. G. Trujillo Escobar, R. Solà, M. Giralt, “Effectiveness of social marketing strategies to reduce youth obesity in European school-based interventions: a systematic review and meta-analysis”, Nutrition Reviews, vol. 74, issue 5, May 2016, pp. 337-351. https://doi.org/10.1093/nutrit/nuw004. Impact Factor: 6.071.

(14) C. F. Moreno-García & F. Serratosa, “Consensus of multiple correspondences between sets of elements”, Computer Vision and Image Understanding, vol. 142, January 2016, pp. 50–64. http://dx.doi.org/10.1016/j.cviu.2015.08.008. Impact Factor: 1.540.

2015

(13) C. F. Moreno-García & F. Serratosa, “Online learning the consensus of multiple correspondences between sets”, Knowledge-Based Systems, vol. 90, December 2015, pp. 49-57. https://dx.doi.org/10.1016/j.knosys.2015.09.034. Impact Factor: 2.947.

(12) X. Cortés, F. Serratosa & C. F. Moreno-García, "Ground truth correspondence between nodes to learn graph-matching edit-costs", Computer Analysis of Images and Patterns (CAIP 2015), Valletta, Malta, Part I, LNCS 9256, pp. 113–124.

(11) C. F. Moreno-García, F. Serratosa, X. Cortés, “Iterative versus voting method to reach consensus given multiple correspondences of two sets”, Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2015), Santiago de Compostela, Spain, LNCS 9117, pp. 530-540.

(10) X. Cortés, F. Serratosa & C. F. Moreno-García, “On the influence of node centralities on graph edit distance for graph classification”, Graph Based Representations and Pattern Recognition (GbR 2015), Beijing, China. LNCS 9069, pp. 231–241.

(9) C. F. Moreno-García & F. Serratosa, X. Cortés, “Consensus of two graph correspondences through a generalisation of the bipartite graph matching”, Graph Based Representations and Pattern Recognition (GbR 2015), Beijing, China, LNCS 9069, pp. 87–97.

(8) X. Cortés, C. F. Moreno-García & F. Serratosa, “An interactive model for structural pattern recognition based on the Bayes classifier”, 4th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2015), Lisbon, Portugal, pp. 240-247.

2014

(7) C. F. Moreno-García & F. Serratosa, "Fast and efficient palmprint identification of a small sample within a full image", Computación y Sistemas, vol. 18, no. 4, 2014, pp. 683-691. https://dx.doi.org/10.13053/CyS-18-4-2059.

(6) X. Cortés, C. F. Moreno-García & F. Serratosa, “Learning graph-matching substitution costs based on the optimality of the oracle's correspondence”, The 20th Iberoamerican Congress on Pattern Recognition (CIARP 2014), Puerto Vallarta, México. LNCS 506.

(5) C. F. Moreno-García, X. Cortés & F. Serratosa, "Partial to full image registration based on candidate positions and multiple correspondences", The 20th Iberoamerican Congress on Pattern Recognition (CIARP 2014), Puerto Vallarta, México. LNCS 745.

(4) C. F. Moreno-García & F. Serratosa. "Weighted mean assignment of a pair of correspondences using optimisation functions", Syntactic and Structural Pattern Recognition (S+SPR 2014), Joensuu, Finland, LNCS 8621, pp. 301–311.

2013

(3) X. Cortés, C. F. Moreno-García & F. Serratosa. "Improving the correspondence establishment based on interactive homography estimation", Computer Analysis of Images and Patterns (CAIP 2013), York, United Kingdom, LNCS 8048, pp: 457-465.

2011

(2) L. Aranzeta-Ojeda, C. F. Moreno-García, A. Granados-Reyes, E. Lopez-Caudana & R. Bustamante-Bello, “Design, development and testing of a low-cost, high sensitivity system for neurodegenerative disease detection and characterization”, The 6th International Conference on Microtechnologies in Medicine and Biology (MMB 2011), Lucerne, Switzerland.

(1) L. Aranzeta-Ojeda, C. F. Moreno-García, E. Lopez-Caudana & R. Bustamante-Bello. “Design, development and testing of a low-cost, high sensitivity system for neurodegenerative disease detection and characterization”, IEEE 24th International Conference on Micro Electro Mechanical Systems (MEMS 2011), Cancun, México.