Daniel Peralta
Orcid: 0000-0002-7544-8411
According to our database1,
Daniel Peralta
authored at least 36 papers
between 2014 and 2023.
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Bibliography
2023
Semi-Supervised Constrained Clustering: An In-Depth Overview, Ranked Taxonomy and Future Research Directions.
CoRR, 2023
2022
Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy.
CoRR, 2022
Fuzzy-rough-learn 0.2: a Python library for fuzzy rough set algorithms and one-class classification.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022
Badminton stroke classification based on accelerometer data: from individual to generalized models.
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Average Localised Proximity: A new data descriptor with good default one-class classification performance.
Pattern Recognit., 2021
SCMFTS: Scalable and Distributed Complexity Measures and Features for Univariate and Multivariate Time Series in Big Data Environments.
Int. J. Comput. Intell. Syst., 2021
Proceedings of the Rough Sets - International Joint Conference, 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Robust unsupervised dimensionality reduction based on feature clustering for single-cell imaging data.
Appl. Soft Comput., 2020
Asynchronous Processing for Latent Fingerprint Identification on Heterogeneous CPU-GPU Systems.
IEEE Access, 2020
Proceedings of the Rough Sets - International Joint Conference, 2020
2019
A Scalable Approach to Fuzzy Rough Nearest Neighbour Classification with Ordered Weighted Averaging Operators.
Proceedings of the Rough Sets - International Joint Conference, 2019
Proceedings of the 7th Conference on Cloud Computing & Big Data, 2019
Classification of Human White Blood Cells Using Machine Learning for Stain-Free Imaging Flow Cytometry.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019
Distributed, Numerically Stable Distance and Covariance Computation with MPI for Extremely Large Datasets.
Proceedings of the 2019 IEEE International Congress on Big Data, 2019
2018
J. Comput. Civ. Eng., 2018
On the use of convolutional neural networks for robust classification of multiple fingerprint captures.
Int. J. Intell. Syst., 2018
2017
Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection.
Knowl. Based Syst., 2017
Minutiae-based fingerprint matching decomposition: Methodology for big data frameworks.
Inf. Sci., 2017
A snapshot of image pre-processing for convolutional neural networks: case study of MNIST.
Int. J. Comput. Intell. Syst., 2017
Fingerprint classification with a new deep neural network model: robustness for different captures of the same fingerprints.
CoRR, 2017
2016
DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases.
Inf. Fusion, 2016
Randomized greedy multi-start algorithm for the minimum common integer partition problem.
Eng. Appl. Artif. Intell., 2016
2015
A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal.
Knowl. Based Syst., 2015
A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models.
Knowl. Based Syst., 2015
A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation.
Inf. Sci., 2015
Neurocomputing, 2015
2014
Int. J. Learn. Technol., 2014
Minutiae filtering to improve both efficacy and efficiency of fingerprint matching algorithms.
Eng. Appl. Artif. Intell., 2014
A combined MapReduce-windowing two-level parallel scheme for evolutionary prototype generation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014