Beatriz de la Iglesia
Orcid: 0000-0003-2675-5826
According to our database1,
Beatriz de la Iglesia
authored at least 55 papers
between 1996 and 2024.
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Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on zbmath.org
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On csauthors.net:
Bibliography
2024
Advancing precision agriculture: domain-specific augmentations and robustness testing for convolutional neural networks in precision spraying evaluation.
Neural Comput. Appl., November, 2024
Deep Learning for Precision Agriculture: Post-Spraying Evaluation and Deposition Estimation.
CoRR, 2024
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2024
Proceedings of the Progress in Artificial Intelligence, 2024
2023
ACM Trans. Knowl. Discov. Data, April, 2023
Proceedings of the Towards Autonomous Robotic Systems - 24th Annual Conference, 2023
Evaluating the Use of Interpretable Quantized Convolutional Neural Networks for Resource-Constrained Deployment.
Proceedings of the 15th International Joint Conference on Knowledge Discovery, 2023
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023
2022
Counting spikelets from infield wheat crop images using fully convolutional networks.
Neural Comput. Appl., 2022
A multi-variate time series clustering approach based on intermediate fusion: A case study in air pollution data imputation.
Neurocomputing, 2022
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022
2020
SN Comput. Sci., 2020
Comput. Biol. Medicine, 2020
Proceedings of the ICISS 2020: The 3rd International Conference on Information Science and System, 2020
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020
2019
Attention-Based Recurrent Neural Networks (RNNs) for Short Text Classification: An Application in Public Health Monitoring.
Proceedings of the Advances in Computational Intelligence, 2019
Deep Learning for Relevance Filtering in Syndromic Surveillance: A Case Study in Asthma/Difficulty Breathing.
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019
SpikeletFCN: Counting Spikelets from Infield Wheat Crop Images Using Fully Convolutional Networks.
Proceedings of the Artificial Intelligence and Soft Computing, 2019
2018
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018
2017
An adaptive version of k-medoids to deal with the uncertainty in clustering heterogeneous data using an intermediary fusion approach.
Knowl. Inf. Syst., 2017
2016
Visualisation of Integrated Patient-Centric Data as Pathways: Enhancing Electronic Medical Records in Clinical Practice.
Proceedings of the Machine Learning for Health Informatics, 2016
2015
Applying Clustering Analysis to Heterogeneous Data Using Similarity Matrix Fusion (SMF).
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2015
2014
Nonmetric multidimensional scaling: A perturbation model for privacy-preserving data clustering.
Stat. Anal. Data Min., 2014
Proceedings of the ICPRAM 2014, 2014
Proceedings of the KDIR 2014 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Rome, Italy, 21, 2014
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2014
URL-based Web Page Classification - A New Method for URL-based Web Page Classification Using n-Gram Language Models.
Proceedings of the KDIR 2014 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Rome, Italy, 21, 2014
2013
WIREs Data Mining Knowl. Discov., 2013
J. Intell. Inf. Syst., 2013
Proceedings of the 13th UK Workshop on Computational Intelligence, 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
2012
Proceedings of the 2012 International Conference on Privacy, 2012
2011
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011
2009
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
2007
Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007
Managing Population Diversity Through the Use of Weighted Objectives and Modified Dominance: An Example from Data Mining.
Proceedings of the IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, 2007
2006
Clustering Rules: A Comparison of Partitioning and Hierarchical Clustering Algorithms.
J. Math. Model. Algorithms, 2006
The application and effectiveness of a multi-objective metaheuristic algorithm for partial classification.
Eur. J. Oper. Res., 2006
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
A Comparison of Two Document Clustering Approaches for Clustering Medical Documents.
Proceedings of the 2006 International Conference on Data Mining, 2006
Effect of Document Representation on the Performance of Medical Document Classification.
Proceedings of the 2006 International Conference on Data Mining, 2006
2005
Developments on a Multi-objective Metaheuristic (MOMH) Algorithm for Finding Interesting Sets of Classification Rules.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2005
Proceedings of the Computational Intelligence and Security, International Conference, 2005
Proceedings of the Encyclopedia of Information Science and Technology (5 Volumes), 2005
2003
Algorithms for Identification Key Generation and Optimization with Application to Yeast Identification.
Proceedings of the Applications of Evolutionary Computing, 2003
Proceedings of the IEEE Congress on Evolutionary Computation, 2003
2002
Determining a unique defining DNA sequence for yeast species using hashing techniques.
Bioinform., 2002
2001
The development and application of heuristic techniques for the data mining task of nugget discovery.
PhD thesis, 2001
1996
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996