A combined MapReduce-windowing two-level parallel scheme for evolutionary prototype generation. - Isaac Triguero; Daniel Peralta; Jaume Bacardit; Salvador García 001; Francisco Herrera (IEEE Congress on Evolutionary Computation, 2014)

Minutiae filtering to improve both efficacy and efficiency of fingerprint matching algorithms. - Daniel Peralta; Mikel Galar; Isaac Triguero; Oscar Miguel-Hurtado; José Manuel Benítez 001; Francisco Herrera (Eng. Appl. Artif. Intell., 2014)

E-learning and educational data mining in cloud computing: an overview. - Alberto Fernández 001; Daniel Peralta; José Manuel Benítez 001; Francisco Herrera (Int. J. Learn. Technol., 2014)

Fast fingerprint identification for large databases. - Daniel Peralta; Isaac Triguero; Raul Sánchez-Reillo; Francisco Herrera; José Manuel Benítez 001 (Pattern Recognit., 2014)

MRPR: A MapReduce solution for prototype reduction in big data classification. - Isaac Triguero; Daniel Peralta; Jaume Bacardit; Salvador García 001; Francisco Herrera (Neurocomputing, 2015)

A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation. - Daniel Peralta; Mikel Galar; Isaac Triguero; Daniel Paternain; Salvador García 001; Edurne Barrenechea; José Manuel Benítez 001; Humberto Bustince; Francisco Herrera (Inf. Sci., 2015)

A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models. - Mikel Galar; Joaquín Derrac; Daniel Peralta; Isaac Triguero; Daniel Paternain; Carlos Lopez-Molina; Salvador García 001; José Manuel Benítez 001; Miguel Pagola; Edurne Barrenechea Tartas; Humberto Bustince Sola; Francisco Herrera (Knowl. Based Syst., 2015)

A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal. - Mikel Galar; Joaquín Derrac; Daniel Peralta; Isaac Triguero; Daniel Paternain; Carlos Lopez-Molina; Salvador García 001; José Manuel Benítez 001; Miguel Pagola; Edurne Barrenechea Tartas; Humberto Bustince Sola; Francisco Herrera (Knowl. Based Syst., 2015)

Randomized greedy multi-start algorithm for the minimum common integer partition problem. - Manuel Lozano 001; Francisco J. Rodríguez 003; Daniel Peralta; Carlos García-Martínez (Eng. Appl. Artif. Intell., 2016)

DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases. - Daniel Peralta; Isaac Triguero; Salvador García 001; Francisco Herrera; José Manuel Benítez 001 (Inf. Fusion, 2016)

Fingerprint classification with a new deep neural network model: robustness for different captures of the same fingerprints. - Daniel Peralta; Isaac Triguero; Salvador García 001; Yvan Saeys; José Manuel Benítez 001; Francisco Herrera (CoRR, 2017)

A snapshot of image pre-processing for convolutional neural networks: case study of MNIST. - Siham Tabik; Daniel Peralta; Andrés Herrera-Poyatos; Francisco Herrera (Int. J. Comput. Intell. Syst., 2017)

Minutiae-based fingerprint matching decomposition: Methodology for big data frameworks. - Daniel Peralta; Salvador García 001; José Manuel Benítez 001; Francisco Herrera (Inf. Sci., 2017)

Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection. - Daniel Peralta; Isaac Triguero; Salvador García 001; Yvan Saeys; José Manuel Benítez 001; Francisco Herrera (Knowl. Based Syst., 2017)

On the use of convolutional neural networks for robust classification of multiple fingerprint captures. - Daniel Peralta; Isaac Triguero; Salvador García 001; Yvan Saeys; José Manuel Benítez 001; Francisco Herrera (Int. J. Intell. Syst., 2018)

Multiobjective Optimization for Railway Maintenance Plans. - Daniel Peralta; Christoph Bergmeir; Martin Krone; Marta Galende; Manuel Menéndez; Gregorio Ismael Sainz Palmero; Carlos Martínez Bertrand; Frank Klawonn; José Manuel Benítez 001 (J. Comput. Civ. Eng., 2018)

Distributed, Numerically Stable Distance and Covariance Computation with MPI for Extremely Large Datasets. - Daniel Peralta; Yvan Saeys (BigData Congress, 2019)

Classification of Human White Blood Cells Using Machine Learning for Stain-Free Imaging Flow Cytometry. - Maxim Lippeveld; Carly Knill; Emma Ladlow; Andrew Fuller; Louise J. Michaelis; Yvan Saeys; Andrew Filby; Daniel Peralta (BNAIC/BENELEARN, 2019)

Heap-Based Algorithms to Accelerate Fingerprint Matching on Parallel Platforms. - Ricardo J. Barrientos; Ruber Hernández-García; Kevin Ortega; Emilio Luque; Daniel Peralta (JCC&BD, 2019)

A Scalable Approach to Fuzzy Rough Nearest Neighbour Classification with Ordered Weighted Averaging Operators. - Oliver Urs Lenz; Daniel Peralta; Chris Cornelis (IJCRS, 2019)

fuzzy-rough-learn 0.1: A Python Library for Machine Learning with Fuzzy Rough Sets. - Oliver Urs Lenz; Daniel Peralta; Chris Cornelis (IJCRS, 2020)

Asynchronous Processing for Latent Fingerprint Identification on Heterogeneous CPU-GPU Systems. - Andres Jesus Sanchez; Luis F. Romero; Daniel Peralta; Miguel Angel Medina-Pérez; Yvan Saeys; Francisco Herrera; Siham Tabik (IEEE Access, 2020)

Robust unsupervised dimensionality reduction based on feature clustering for single-cell imaging data. - Daniel Peralta; Yvan Saeys (Appl. Soft Comput., 2020)

Scalable Approximate FRNN-OWA Classification. - Oliver Urs Lenz; Daniel Peralta; Chris Cornelis (IEEE Trans. Fuzzy Syst., 2020)

A study on the calibration of fingerprint classifiers. - Daniel Peralta; Lin Tang; Maxim Lippeveld; Yvan Saeys (IEEE BigData, 2021)

Adapting Fuzzy Rough Sets for Classification with Missing Values. - Oliver Urs Lenz; Daniel Peralta; Chris Cornelis (IJCRS, 2021)

SCMFTS: Scalable and Distributed Complexity Measures and Features for Univariate and Multivariate Time Series in Big Data Environments. - Francisco Javier Baldan; Daniel Peralta; Yvan Saeys; José Manuel Benítez 001 (Int. J. Comput. Intell. Syst., 2021)

Average Localised Proximity: A new data descriptor with good default one-class classification performance. - Oliver Urs Lenz; Daniel Peralta; Chris Cornelis (Pattern Recognit., 2021)

Badminton stroke classification based on accelerometer data: from individual to generalized models. - Daniel Peralta; Ben Van Herbruggen; Jaron Fontaine; Wout Debyser; Jorg Wieme; Eli De Poorter (IEEE Big Data, 2022)

Fuzzy-rough-learn 0.2: a Python library for fuzzy rough set algorithms and one-class classification. - Oliver Urs Lenz; Chris Cornelis; Daniel Peralta (FUZZ-IEEE, 2022)

Representing missing values through polar encoding. - Oliver Urs Lenz; Daniel Peralta; Chris Cornelis (CoRR, 2022)

Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy. - Christoph Bergmeir; Frits de Nijs; Abishek Sriramulu; Mahdi Abolghasemi; Richard Bean 001; John M. Betts; Quang Bui; Nam Trong Dinh; Nils Einecke; Rasul Esmaeilbeigi; Scott Ferraro; Priya Galketiya; et al. (CoRR, 2022)

Optimised one-class classification performance. - Oliver Urs Lenz; Daniel Peralta; Chris Cornelis (Mach. Learn., 2022)

Forecast Reconciliation for Vaccine Supply Chain Optimization. - Bhanu Angam; Alessandro Beretta; Eli De Poorter; Matthieu Duvinage; Daniel Peralta (BNAIC/BENELEARN, 2023)

No Imputation Without Representation. - Oliver Urs Lenz; Daniel Peralta; Chris Cornelis (BNAIC/BENELEARN, 2023)

Improved Deep Learning Based ECG Classification through Automated Feature Selection and Weighted Loss Function. - Timo De Waele; Daniel Peralta; Eli De Poorter; Adnan Shahid (IJCNN, 2024)

Exploring Flexible Scenario Generation in Godot Simulator. - Daniel Peralta; Xin Qin (CoRR, 2024)

Strategy analysis of badminton players using deep learning from IMU and UWB wearables. - Ben Van Herbruggen; Jaron Fontaine; Jonas Simoen; Lennert De Mey; Daniel Peralta; Adnan Shahid; Eli De Poorter (Internet Things, 2024)

Polar Encoding: A Simple Baseline Approach for Classification With Missing Values. - Oliver Urs Lenz; Daniel Peralta; Chris Cornelis (IEEE Trans. Fuzzy Syst., 2024)

Exploring Flexible Road Reconstruction in Godot Simulator. - Daniel Peralta; Xin Qin (ICCPS, 2025)

Predict+Optimize Problem in Renewable Energy Scheduling. - Christoph Bergmeir; Frits de Nijs; Evgenii Genov; Abishek Sriramulu; Mahdi Abolghasemi; Richard Bean 001; John M. Betts; Quang Bui; Nam Trong Dinh; Nils Einecke; Rasul Esmaeilbeigi; Scott Ferraro; et al. (IEEE Access, 2025)

Semi-supervised constrained clustering: an in-depth overview, ranked taxonomy and future research directions. - Germán González-Almagro; Daniel Peralta; Eli De Poorter; José Ramón Cano; Salvador García 001 (Artif. Intell. Rev., 2025)