Carlos Francisco Moreno-García
Orcid: 0000-0001-7218-9023
According to our database1,
Carlos Francisco Moreno-García
authored at least 58 papers
between 2013 and 2024.
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Bibliography
2024
Towards the automation of systematic reviews using natural language processing, machine learning, and deep learning: a comprehensive review.
Artif. Intell. Rev., August, 2024
A review of deep learning methods for digitisation of complex documents and engineering diagrams.
Artif. Intell. Rev., June, 2024
Cogn. Comput., May, 2024
Enhancing systematic reviews: An in-depth analysis on the impact of active learning parameter combinations for biomedical abstract screening.
Artif. Intell. Medicine, 2024
Extended Results for Enhancing Abstract Screening Classification in Evidence-Based Medicine: Incorporating Domain Knowledge into Pre-trained Models.
Proceedings of the SICSA Workshop on Reasoning, 2024
A Zero-Shot Monolingual Dual Stage Information Retrieval System for Spanish Biomedical Systematic Literature Reviews.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
A Multiclass Imbalanced Dataset Classification of Symbols from Piping and Instrumentation Diagrams.
Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024
Enhancing Abstract Screening Classification in Evidence-Based Medicine: Incorporating Domain Knowledge into Pre-trained Models.
Proceedings of the Artificial Intelligence in Medicine - 22nd International Conference, 2024
2023
Evaluation of Attention-Based LSTM and Bi-LSTM Networks For Abstract Text Classification in Systematic Literature Review Automation.
Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023
AGREE: A Feature Attribution Aggregation Framework to Address Explainer Disagreements with Alignment Metrics.
Proceedings of the Workshops at the 31st International Conference on Case-Based Reasoning (ICCBR-WS 2023) co-located with the 31st International Conference on Case-Based Reasoning (ICCBR 2023), 2023
Student Interaction with a Virtual Learning Environment: An Empirical Study of Online Engagement Behaviours During and Since the Time of COVID-19.
Proceedings of the IEEE Frontiers in Education Conference, 2023
Digital Transformation for Offshore Assets: A Deep Learning Framework for Weld Classification in Remote Visual Inspections.
Proceedings of the Engineering Applications of Neural Networks, 2023
2022
Implementation of NAO Robot Maze Navigation Based on Computer Vision and Collaborative Learning.
Frontiers Robotics AI, 2022
Zero-Error Digitisation and Contextualisation of Piping and Instrumentation Diagrams Using Node Classification and Sub-graph Search.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2022
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
2021
CDSMOTE: class decomposition and synthetic minority class oversampling technique for imbalanced-data classification.
Neural Comput. Appl., 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
A Deep Learning Digitisation Framework to Mark up Corrosion Circuits in Piping and Instrumentation Diagrams.
Proceedings of the Document Analysis and Recognition, 2021
Proceedings of the 22nd Engineering Applications of Neural Networks Conference, 2021
Proceedings of the 22nd Engineering Applications of Neural Networks Conference, 2021
Weighted Ensemble of Deep Learning Models based on Comprehensive Learning Particle Swarm Optimization for Medical Image Segmentation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
Correspondence edit distance to obtain a set of weighted means of graph correspondences.
Pattern Recognit. Lett., 2020
Pixel-based layer segmentation of complex engineering drawings using convolutional neural networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Assessing the Clinicians' Pathway to Embed Artificial Intelligence for Assisted Diagnostics of Fracture Detection.
Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence, 2020
Symbols in Engineering Drawings (SiED): An Imbalanced Dataset Benchmarked by Convolutional Neural Networks.
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, 2020
A pipeline framework for robot maze navigation using computer vision, path planning and communication protocols.
Proceedings of the 13th International Conference on Developments in eSystems Engineering, 2020
2019
Neural Comput. Appl., 2019
Proceedings of the Workshop on Industrial Applications of Document Analysis and Recognition, 2019
2018
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018
Proceedings of the SICSA Workshop on Reasoning, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2017
Obtaining the consensus of multiple correspondences between graphs through online learning.
Pattern Recognit. Lett., 2017
Correspondence consensus of two sets of correspondences through optimisation functions.
Pattern Anal. Appl., 2017
Proceedings of the Graph-Based Representations in Pattern Recognition, 2017
Heuristics-Based Detection to Improve Text/Graphics Segmentation in Complex Engineering Drawings.
Proceedings of the Engineering Applications of Neural Networks, 2017
2016
PhD thesis, 2016
Unsupervised Machine Learning Application to Perform a Systematic Review and Meta-Analysis in Medical Research.
Computación y Sistemas, 2016
Comput. Vis. Image Underst., 2016
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016
Semi-automatic pose estimation of a fleet of robots with embedded stereoscopic cameras.
Proceedings of the 21st IEEE International Conference on Emerging Technologies and Factory Automation, 2016
2015
Knowl. Based Syst., 2015
An Interactive Model for Structural Pattern Recognition based on the Bayes Classifier.
Proceedings of the ICPRAM 2015, 2015
Iterative Versus Voting Method to Reach Consensus Given Multiple Correspondences of Two Sets.
Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015
Consensus of Two Graph Correspondences Through a Generalisation of the Bipartite Graph Matching.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2015
On the Influence of Node Centralities on Graph Edit Distance for Graph Classification.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2015
Proceedings of the Computer Analysis of Images and Patterns, 2015
2014
Computación y Sistemas, 2014
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2014
Partial to Full Image Registration Based on Candidate Positions and Multiple Correspondences.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014
Learning Graph-Matching Substitution Costs Based on the Optimality of the Oracle's Correspondence.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014
2013
Improving the Correspondence Establishment Based on Interactive Homography Estimation.
Proceedings of the Computer Analysis of Images and Patterns, 2013