Daniel Peralta

47 papers B 4Journal 33Unranked 10
YearRankTypeTitle / Venue / Authors
2025 — conf
Exploring Flexible Road Reconstruction in Godot Simulator.
ICCPS
Daniel Peralta, Xin Qin
2025 J jnl
Predict+Optimize Problem in Renewable Energy Scheduling.
IEEE Access
Christoph Bergmeir, Frits de Nijs, Evgenii Genov, Abishek Sriramulu, Mahdi Abolghasemi, Richard Bean, John M. Betts, Quang Bui, Nam Trong Dinh, Nils Einecke, Rasul Esmaeilbeigi, Scott Ferraro, Priya Galketiya, 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
2025 J jnl
Semi-supervised constrained clustering: an in-depth overview, ranked taxonomy and future research directions.
Artif. Intell. Rev.
Germán González-Almagro, Daniel Peralta, Eli De Poorter, José Ramón Cano, Salvador García
2024 J jnl
Exploring Flexible Scenario Generation in Godot Simulator.
CoRR
Daniel Peralta, Xin Qin
2024 B conf
Improved Deep Learning Based ECG Classification through Automated Feature Selection and Weighted Loss Function.
IJCNN
Timo De Waele, Daniel Peralta, Eli De Poorter, Adnan Shahid
2024 J jnl
Polar Encoding: A Simple Baseline Approach for Classification With Missing Values.
IEEE Trans. Fuzzy Syst.
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
2024 J jnl
Strategy analysis of badminton players using deep learning from IMU and UWB wearables.
Internet Things
Ben Van Herbruggen, Jaron Fontaine, Jonas Simoen, Lennert De Mey, Daniel Peralta, Adnan Shahid, Eli De Poorter
2023 — conf
Forecast Reconciliation for Vaccine Supply Chain Optimization.
BNAIC/BENELEARN
Bhanu Angam, Alessandro Beretta, Eli De Poorter, Matthieu Duvinage, Daniel Peralta
2023 J jnl
Forecast reconciliation for vaccine supply chain optimization.
CoRR
Bhanu Angam, Alessandro Beretta, Eli De Poorter, Matthieu Duvinage, Daniel Peralta
2023 — conf
No Imputation Without Representation.
BNAIC/BENELEARN
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
2023 J jnl
Semi-Supervised Constrained Clustering: An In-Depth Overview, Ranked Taxonomy and Future Research Directions.
CoRR
Germán González-Almagro, Daniel Peralta, Eli De Poorter, José Ramón Cano, Salvador García
2022 B conf
Badminton stroke classification based on accelerometer data: from individual to generalized models.
IEEE Big Data
Daniel Peralta, Ben Van Herbruggen, Jaron Fontaine, Wout Debyser, Jorg Wieme, Eli De Poorter
2022 J jnl
Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy.
CoRR
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
2022 B conf
Fuzzy-rough-learn 0.2: a Python library for fuzzy rough set algorithms and one-class classification.
FUZZ-IEEE
Oliver Urs Lenz, Chris Cornelis, Daniel Peralta
2022 J jnl
No imputation without representation.
CoRR
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
2022 J jnl
Optimised one-class classification performance.
Mach. Learn.
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
2022 J jnl
Representing missing values through polar encoding.
CoRR
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
2021 — conf
A study on the calibration of fingerprint classifiers.
IEEE BigData
Daniel Peralta, Lin Tang, Maxim Lippeveld, Yvan Saeys
2021 — conf
Adapting Fuzzy Rough Sets for Classification with Missing Values.
IJCRS
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
2021 J jnl
Average Localised Proximity: A new data descriptor with good default one-class classification performance.
Pattern Recognit.
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
2021 J jnl
Average Localised Proximity: a new data descriptor with good default one-class classification performance.
CoRR
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
2021 J jnl
Optimised one-class classification performance.
CoRR
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
2021 J jnl
SCMFTS: Scalable and Distributed Complexity Measures and Features for Univariate and Multivariate Time Series in Big Data Environments.
Int. J. Comput. Intell. Syst.
Francisco J. Baldán, Daniel Peralta, Yvan Saeys, José Manuel Benítez
2020 J jnl
Asynchronous Processing for Latent Fingerprint Identification on Heterogeneous CPU-GPU Systems.
IEEE Access
Andres Jesus Sanchez, Luis F. Romero, Daniel Peralta, Miguel Angel Medina-Pérez, Yvan Saeys, Francisco Herrera, Siham Tabik
2020 J jnl
Robust unsupervised dimensionality reduction based on feature clustering for single-cell imaging data.
Appl. Soft Comput.
Daniel Peralta, Yvan Saeys
2020 J jnl
Scalable Approximate FRNN-OWA Classification.
IEEE Trans. Fuzzy Syst.
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
2020 — conf
fuzzy-rough-learn 0.1: A Python Library for Machine Learning with Fuzzy Rough Sets.
IJCRS
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
2019 — conf
A Scalable Approach to Fuzzy Rough Nearest Neighbour Classification with Ordered Weighted Averaging Operators.
IJCRS
Oliver Urs Lenz, Daniel Peralta, Chris Cornelis
2019 — conf
Classification of Human White Blood Cells Using Machine Learning for Stain-Free Imaging Flow Cytometry.
BNAIC/BENELEARN
Maxim Lippeveld, Carly Knill, Emma Ladlow, Andrew Fuller, Louise J. Michaelis, Yvan Saeys, Andrew Filby, Daniel Peralta
2019 — conf
Distributed, Numerically Stable Distance and Covariance Computation with MPI for Extremely Large Datasets.
BigData Congress
Daniel Peralta, Yvan Saeys
2019 — conf
Heap-Based Algorithms to Accelerate Fingerprint Matching on Parallel Platforms.
JCC&BD
Ricardo J. Barrientos, Ruber Hernández-García, Kevin Ortega, Emilio Luque, Daniel Peralta
2018 J jnl
Multiobjective Optimization for Railway Maintenance Plans.
J. Comput. Civ. Eng.
Daniel Peralta, Christoph Bergmeir, Martin Krone, Marta Galende, Manuel Menéndez, Gregorio Ismael Sainz Palmero, Carlos Martínez Bertrand, Frank Klawonn, José Manuel Benítez
2018 J jnl
On the use of convolutional neural networks for robust classification of multiple fingerprint captures.
Int. J. Intell. Syst.
Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera
2017 J jnl
A snapshot of image pre-processing for convolutional neural networks: case study of MNIST.
Int. J. Comput. Intell. Syst.
Siham Tabik, Daniel Peralta, Andrés Herrera-Poyatos, Francisco Herrera
2017 J jnl
Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection.
Knowl. Based Syst.
Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera
2017 J jnl
Fingerprint classification with a new deep neural network model: robustness for different captures of the same fingerprints.
CoRR
Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera
2017 J jnl
Minutiae-based fingerprint matching decomposition: Methodology for big data frameworks.
Inf. Sci.
Daniel Peralta, Salvador García, José Manuel Benítez, Francisco Herrera
2016 J jnl
DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases.
Inf. Fusion
Daniel Peralta, Isaac Triguero, Salvador García, Francisco Herrera, José Manuel Benítez
2016 J jnl
Randomized greedy multi-start algorithm for the minimum common integer partition problem.
Eng. Appl. Artif. Intell.
Manuel Lozano, Francisco J. Rodríguez, Daniel Peralta, Carlos García-Martínez
2015 J jnl
A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models.
Knowl. Based Syst.
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
2015 J jnl
A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal.
Knowl. Based Syst.
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
2015 J jnl
A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation.
Inf. Sci.
Daniel Peralta, Mikel Galar, Isaac Triguero, Daniel Paternain, Salvador García, Edurne Barrenechea, José Manuel Benítez, Humberto Bustince, Francisco Herrera
2015 J jnl
MRPR: A MapReduce solution for prototype reduction in big data classification.
Neurocomputing
Isaac Triguero, Daniel Peralta, Jaume Bacardit, Salvador García, Francisco Herrera
2014 B conf
A combined MapReduce-windowing two-level parallel scheme for evolutionary prototype generation.
IEEE Congress on Evolutionary Computation
Isaac Triguero, Daniel Peralta, Jaume Bacardit, Salvador García, Francisco Herrera
2014 J jnl
E-learning and educational data mining in cloud computing: an overview.
Int. J. Learn. Technol.
Alberto Fernández, Daniel Peralta, José Manuel Benítez, Francisco Herrera
2014 J jnl
Fast fingerprint identification for large databases.
Pattern Recognit.
Daniel Peralta, Isaac Triguero, Raul Sánchez-Reillo, Francisco Herrera, José Manuel Benítez
2014 J jnl
Minutiae filtering to improve both efficacy and efficiency of fingerprint matching algorithms.
Eng. Appl. Artif. Intell.
Daniel Peralta, Mikel Galar, Isaac Triguero, Oscar Miguel-Hurtado, José Manuel Benítez, Francisco Herrera