Daniel Peralta

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 31

Top Topics

Fingerprint Matching

Robust Classification

Top Venues

Knowl. Based Syst.

Pattern Recognit.

Publications

Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
Polar Encoding: A Simple Baseline Approach for Classification With Missing Values. IEEE Trans. Fuzzy Syst. 32 (5) (2024)
Bhanu Angam, Alessandro Beretta, Eli De Poorter, Matthieu Duvinage, Daniel Peralta
Forecast reconciliation for vaccine supply chain optimization. CoRR (2023)
Germán González-Almagro, Daniel Peralta, Eli De Poorter, José Ramón Cano, Salvador García
Semi-Supervised Constrained Clustering: An In-Depth Overview, Ranked Taxonomy and Future Research Directions. CoRR (2023)
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
Optimised one-class classification performance. Mach. Learn. 111 (8) (2022)
Oliver Urs Lenz, Chris Cornelis, Daniel Peralta
Fuzzy-rough-learn 0.2: a Python library for fuzzy rough set algorithms and one-class classification. FUZZ-IEEE (2022)
Daniel Peralta, Ben Van Herbruggen, Jaron Fontaine, Wout Debyser, Jorg Wieme, Eli De Poorter
Badminton stroke classification based on accelerometer data: from individual to generalized models. Big Data (2022)
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
Representing missing values through polar encoding. CoRR (2022)
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
No imputation without representation. CoRR (2022)
Christoph Bergmeir, Frits de Nijs, Abishek Sriramulu, Mahdi Abolghasemi, Richard Bean, John M. Betts, Quang Bui, Nam Trong Dinh, Nils Einecke, Rasul Esmaeilbeigi, Scott Ferraro, Priya Galketiya, Evgenii Genov, Robert Glasgow, Rakshitha Godahewa, Yanfei Kang, Steffen Limmer, Luis Magdalena, Pablo Montero-Manso, Daniel Peralta, Yogesh Pipada Sunil Kumar, Alejandro Rosales-Pérez, Julian Ruddick, Akylas C. Stratigakos, Peter J. Stuckey, Guido Tack, Isaac Triguero, Rui Yuan
Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy. CoRR (2022)
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
Average Localised Proximity: A new data descriptor with good default one-class classification performance. Pattern Recognit. 118 (2021)
Francisco Javier Baldan, Daniel Peralta, Yvan Saeys, José Manuel Benítez
SCMFTS: Scalable and Distributed Complexity Measures and Features for Univariate and Multivariate Time Series in Big Data Environments. Int. J. Comput. Intell. Syst. 14 (1) (2021)
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
Adapting Fuzzy Rough Sets for Classification with Missing Values. IJCRS (2021)
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
Optimised one-class classification performance. CoRR (2021)
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
Average Localised Proximity: a new data descriptor with good default one-class classification performance. CoRR (2021)
Daniel Peralta, Lin Tang, Maxim Lippeveld, Yvan Saeys
A study on the calibration of fingerprint classifiers. IEEE BigData (2021)
Daniel Peralta, Yvan Saeys
Robust unsupervised dimensionality reduction based on feature clustering for single-cell imaging data. Appl. Soft Comput. 93 (2020)
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
Scalable Approximate FRNN-OWA Classification. IEEE Trans. Fuzzy Syst. 28 (5) (2020)
Andres Jesus Sanchez, Luis F. Romero, Daniel Peralta, Miguel Angel Medina-Pérez, Yvan Saeys, Francisco Herrera, Siham Tabik
Asynchronous Processing for Latent Fingerprint Identification on Heterogeneous CPU-GPU Systems. IEEE Access 8 (2020)
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
fuzzy-rough-learn 0.1: A Python Library for Machine Learning with Fuzzy Rough Sets. IJCRS (2020)
Maxim Lippeveld, Carly Knill, Emma Ladlow, Andrew Fuller, Louise J. Michaelis, Yvan Saeys, Andrew Filby, Daniel Peralta
Classification of Human White Blood Cells Using Machine Learning for Stain-Free Imaging Flow Cytometry. BNAIC/BENELEARN (2019)
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
A Scalable Approach to Fuzzy Rough Nearest Neighbour Classification with Ordered Weighted Averaging Operators. IJCRS (2019)
Ricardo J. Barrientos, Ruber Hernández-García, Kevin Ortega, Emilio Luque, Daniel Peralta
Heap-Based Algorithms to Accelerate Fingerprint Matching on Parallel Platforms. JCC&BD (2019)
Daniel Peralta, Yvan Saeys
Distributed, Numerically Stable Distance and Covariance Computation with MPI for Extremely Large Datasets. BigData Congress (2019)
Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera
On the use of convolutional neural networks for robust classification of multiple fingerprint captures. Int. J. Intell. Syst. 33 (1) (2018)
Daniel Peralta, Christoph Bergmeir, Martin Krone, Marta Galende, Manuel Menéndez, Gregorio Ismael Sainz Palmero, Carlos Martínez Bertrand, Frank Klawonn, José Manuel Benítez
Multiobjective Optimization for Railway Maintenance Plans. J. Comput. Civ. Eng. 32 (3) (2018)
Daniel Peralta, Salvador García, José Manuel Benítez, Francisco Herrera
Minutiae-based fingerprint matching decomposition: Methodology for big data frameworks. Inf. Sci. 408 (2017)
Siham Tabik, Daniel Peralta, Andrés Herrera-Poyatos, Francisco Herrera
A snapshot of image pre-processing for convolutional neural networks: case study of MNIST. Int. J. Comput. Intell. Syst. 10 (1) (2017)
Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera
Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection. Knowl. Based Syst. 126 (2017)
Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera
Fingerprint classification with a new deep neural network model: robustness for different captures of the same fingerprints. CoRR (2017)
Daniel Peralta, Isaac Triguero, Salvador García, Francisco Herrera, José Manuel Benítez
DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases. Inf. Fusion 32 (2016)
Manuel Lozano, Francisco J. Rodríguez, Daniel Peralta, Carlos García-Martínez
Randomized greedy multi-start algorithm for the minimum common integer partition problem. Eng. Appl. Artif. Intell. 50 (2016)
Mikel Galar, Joaquín Derrac, Daniel Peralta, Isaac Triguero, Daniel Paternain, Carlos Lopez-Molina, Salvador García, José Manuel Benítez, Miguel Pagola, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera
A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal. Knowl. Based Syst. 81 (2015)
Isaac Triguero, Daniel Peralta, Jaume Bacardit, Salvador García, Francisco Herrera
MRPR: A MapReduce solution for prototype reduction in big data classification. Neurocomputing 150 (2015)
Mikel Galar, Joaquín Derrac, Daniel Peralta, Isaac Triguero, Daniel Paternain, Carlos Lopez-Molina, Salvador García, José Manuel Benítez, Miguel Pagola, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera
A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models. Knowl. Based Syst. 81 (2015)
Daniel Peralta, Mikel Galar, Isaac Triguero, Daniel Paternain, Salvador García, Edurne Barrenechea, José Manuel Benítez, Humberto Bustince, Francisco Herrera
A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation. Inf. Sci. 315 (2015)
Isaac Triguero, Daniel Peralta, Jaume Bacardit, Salvador García, Francisco Herrera
A combined MapReduce-windowing two-level parallel scheme for evolutionary prototype generation. IEEE Congress on Evolutionary Computation (2014)
Daniel Peralta, Isaac Triguero, Raul Sánchez-Reillo, Francisco Herrera, José Manuel Benítez
Fast fingerprint identification for large databases. Pattern Recognit. 47 (2) (2014)
Daniel Peralta, Mikel Galar, Isaac Triguero, Oscar Miguel-Hurtado, José Manuel Benítez, Francisco Herrera
Minutiae filtering to improve both efficacy and efficiency of fingerprint matching algorithms. Eng. Appl. Artif. Intell. 32 (2014)
Alberto Fernández, Daniel Peralta, José Manuel Benítez, Francisco Herrera
E-learning and educational data mining in cloud computing: an overview. Int. J. Learn. Technol. 9 (1) (2014)