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2020 – today
- 2024
[j22]Ben Van Herbruggen
, Jaron Fontaine, Jonas Simoen, Lennert De Mey, Daniel Peralta, Adnan Shahid, Eli De Poorter:
Strategy analysis of badminton players using deep learning from IMU and UWB wearables. Internet Things 27: 101260 (2024)- [j21]Oliver Urs Lenz, Daniel Peralta, Chris Cornelis:
Polar Encoding: A Simple Baseline Approach for Classification With Missing Values. IEEE Trans. Fuzzy Syst. 32(5): 3084-3093 (2024) - [c13]Timo De Waele, Daniel Peralta, Eli De Poorter, Adnan Shahid:
Improved Deep Learning Based ECG Classification through Automated Feature Selection and Weighted Loss Function. IJCNN 2024: 1-8 - 2023
- [c12]Oliver Urs Lenz, Daniel Peralta, Chris Cornelis:
No Imputation Without Representation. BNAIC/BENELEARN 2023: 1-21 - [c11]Bhanu Angam, Alessandro Beretta, Eli De Poorter, Matthieu Duvinage, Daniel Peralta:
Forecast Reconciliation for Vaccine Supply Chain Optimization. BNAIC/BENELEARN 2023: 101-118 - [i8]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 abs/2303.00522 (2023) - [i7]Bhanu Angam, Alessandro Beretta, Eli De Poorter, Matthieu Duvinage, Daniel Peralta:
Forecast reconciliation for vaccine supply chain optimization. CoRR abs/2305.01455 (2023) - 2022
- [j20]Oliver Urs Lenz, Daniel Peralta, Chris Cornelis:
Optimised one-class classification performance. Mach. Learn. 111(8): 2863-2883 (2022) - [c10]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. IEEE Big Data 2022: 5542-5548 - [c9]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: 1-8 - [i6]Oliver Urs Lenz, Daniel Peralta, Chris Cornelis:
No imputation without representation. CoRR abs/2206.14254 (2022) - [i5]Oliver Urs Lenz, Daniel Peralta, Chris Cornelis:
Representing missing values through polar encoding. CoRR abs/2210.01905 (2022) - [i4]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 abs/2212.10723 (2022) - 2021
- [j19]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): 186 (2021) - [j18]Oliver Urs Lenz, Daniel Peralta, Chris Cornelis:
Average Localised Proximity: A new data descriptor with good default one-class classification performance. Pattern Recognit. 118: 107991 (2021) - [c8]Daniel Peralta, Lin Tang, Maxim Lippeveld, Yvan Saeys:
A study on the calibration of fingerprint classifiers. IEEE BigData 2021: 698-704 - [c7]Oliver Urs Lenz, Daniel Peralta, Chris Cornelis:
Adapting Fuzzy Rough Sets for Classification with Missing Values. IJCRS 2021: 192-200 - [i3]Oliver Urs Lenz, Daniel Peralta, Chris Cornelis:
Average Localised Proximity: a new data descriptor with good default one-class classification performance. CoRR abs/2101.11037 (2021) - [i2]Oliver Urs Lenz, Daniel Peralta, Chris Cornelis:
Optimised one-class classification performance. CoRR abs/2102.02618 (2021) - 2020
- [j17]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: 124236-124253 (2020) - [j16]Daniel Peralta, Yvan Saeys:
Robust unsupervised dimensionality reduction based on feature clustering for single-cell imaging data. Appl. Soft Comput. 93: 106421 (2020) - [j15]Oliver Urs Lenz, Daniel Peralta, Chris Cornelis:
Scalable Approximate FRNN-OWA Classification. IEEE Trans. Fuzzy Syst. 28(5): 929-938 (2020) - [c6]Oliver Urs Lenz, Daniel Peralta, Chris Cornelis:
fuzzy-rough-learn 0.1: A Python Library for Machine Learning with Fuzzy Rough Sets. IJCRS 2020: 491-499
2010 – 2019
- 2019
- [c5]Daniel Peralta, Yvan Saeys:
Distributed, Numerically Stable Distance and Covariance Computation with MPI for Extremely Large Datasets. BigData Congress 2019: 77-84 - [c4]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 - [c3]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: 61-72 - [c2]Oliver Urs Lenz, Daniel Peralta, Chris Cornelis:
A Scalable Approach to Fuzzy Rough Nearest Neighbour Classification with Ordered Weighted Averaging Operators. IJCRS 2019: 197-209 - 2018
- [j14]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): 213-230 (2018) - [j13]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) - 2017
- [j12]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): 555-568 (2017) - [j11]Daniel Peralta, Salvador García, José Manuel Benítez, Francisco Herrera:
Minutiae-based fingerprint matching decomposition: Methodology for big data frameworks. Inf. Sci. 408: 198-212 (2017) - [j10]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: 91-103 (2017) - [i1]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 abs/1703.07270 (2017) - 2016
- [j9]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: 226-235 (2016) - [j8]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: 40-51 (2016) - 2015
- [j7]Isaac Triguero, Daniel Peralta, Jaume Bacardit, Salvador García, Francisco Herrera:
MRPR: A MapReduce solution for prototype reduction in big data classification. Neurocomputing 150: 331-345 (2015) - [j6]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: 67-87 (2015) - [j5]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: 76-97 (2015) - [j4]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: 98-116 (2015) - 2014
- [j3]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: 37-53 (2014) - [j2]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): 25-52 (2014) - [j1]Daniel Peralta, Isaac Triguero, Raul Sánchez-Reillo, Francisco Herrera, José Manuel Benítez:
Fast fingerprint identification for large databases. Pattern Recognit. 47(2): 588-602 (2014) - [c1]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: 3036-3043
Coauthor Index
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