Daniel Peralta Cámara
Categoría
DoctorContacto
dperalta@K13YRzlKugr.es
Organismo
UGR
| Total | Desde 2020: | |
|---|---|---|
| Citas | Total: 1991 | Desde 2020: 1044 |
| Índice H | Total: 19 | Desde 2020: 18 |
| Índice i10 | Total: 25 | Desde 2020: 24 |
Publicaciones (56)
| Título | Autores | Año |
|---|---|---|
| Predict+ Optimize Problem in Renewable Energy Scheduling. | C Bergmeir, F De Nijs, E Genov, A Sriramulu, M Abolghasemi, R Bean, .... | 2025 |
| Monitoring Welfare of Individual Broiler Chickens Using Ultra-Wideband and Inertial Measurement Unit Wearables | I Khan, D Peralta, J Fontaine, P Soster de Carvalho, .... | 2025 |
| Msdeepamr: antimicrobial resistance prediction based on deep neural networks and transfer learning | XA López-Cortés, JM Manríquez-Troncoso, R Hernández-García, .... | 2024 |
| Strategy analysis of badminton players using deep learning from IMU and UWB wearables | B Van Herbruggen, J Fontaine, J Simoen, L De Mey, D Peralta, A Shahid, .... | 2024 |
| SCIP: A scalable, reproducible and open‐source pipeline for morphological profiling of image cytometry and microscopy data | M Lippeveld, D Peralta, A Filby, Y Saeys. | 2024 |
| Towards Unsupervised Animal Activity Recognition: a Deep Learning Based Clustering Algorithm for Equine Gait Classification | T Waele, A Shahid, D Peralta, F Tuyttens, E Poorter. | 2024 |
| Goats on the Move: Evaluating Machine Learning Models for Goat Activity Analysis Using Accelerometer Data | A Hollevoet, T De Waele, D Peralta, F Tuyttens, E De Poorter, A Shahid. | 2024 |
| Polar encoding: A simple baseline approach for classification with missing values | OU Lenz, D Peralta, C Cornelis. | 2024 |
| Improved Deep Learning Based ECG Classification through Automated Feature Selection and Weighted Loss Function | T De Waele, D Peralta, E De Poorter, A Shahid. | 2024 |
| Semi-Supervised Constrained Clustering: An In-Depth Overview, Ranked Taxonomy and Future Research Directions | G González-Almagro, D Peralta, E De Poorter, JR Cano, S García. | 2023 |
| Time-series-based feature selection and clustering for equine activity recognition using accelerometers | T De Waele, A Shahid, D Peralta, A Eerdekens, M Deruyck, FAM Tuyttens, .... | 2023 |
| No imputation without representation | OU Lenz, D Peralta, C Cornelis. | 2023 |
| Forecast reconciliation for vaccine supply chain optimization | B Angam, A Beretta, E De Poorter, M Duvinage, D Peralta. | 2023 |
| Comparison and Evaluation of Methods for a Predict+ Optimize Problem in Renewable Energy | C Bergmeir, F de Nijs, A Sriramulu, M Abolghasemi, R Bean, J Betts, .... | 2022 |
| Fuzzy-rough-learn 0.2: a Python library for fuzzy rough set algorithms and one-class classification | OU Lenz, C Cornelis, D Peralta. | 2022 |
| Badminton stroke classification based on accelerometer data: from individual to generalized models | D Peralta, B Van Herbruggen, J Fontaine, W Debyser, J Wieme, .... | 2022 |
| Optimised one-class classification performance | OU Lenz, D Peralta, C Cornelis. | 2022 |
| Multiclass Heartbeat Classification using ECG Signals and Convolutional Neural Networks | MDM Qureshi, D Peralta, E De Poorter, R Mumtaz, A Shahid, I Moerman, .... | 2022 |
| Dispositivo Móvil de Identificación de Personas Mediante Huella Digital | RJ Barrientos, M Mora, R Soto-Silva, W. Hernández-García, D Peralta. | 2022 |
| SCMFTS: Scalable and Distributed Complexity Measures and Features for Univariate and Multivariate Time Series in Big Data Environments | FJ Baldán, D Peralta, Y Saeys, JM Benítez. | 2021 |
| Average Localised Proximity: A new data descriptor with good default one-class classification performance | OU Lenz, D Peralta, C Cornelis. | 2021 |
| Adapting fuzzy rough sets for classification with missing values | OU Lenz, D Peralta, C Cornelis. | 2021 |
| A study on the calibration of fingerprint classifiers | D Peralta, L Tang, M Lippeveld, Y Saeys. | 2021 |
| Robust unsupervised dimensionality reduction based on feature clustering for single-cell imaging data | D Peralta, Y Saeys. | 2020 |
| Asynchronous Processing for Latent Fingerprint Identification on Heterogeneous CPU-GPU Systems | AJ Sanchez, LF Romero, D Peralta, MA Medina-Pérez, Y Saeys, .... | 2020 |
| fuzzy-rough-learn 0.1: A Python Library for Machine Learning with Fuzzy Rough Sets | OU Lenz, D Peralta, C Cornelis. | 2020 |
| A Scalable Approach to Fuzzy Rough Nearest Neighbour Classification with Ordered Weighted Averaging Operators | OU Lenz, D Peralta, C Cornelis. | 2019 |
| Heap-Based Algorithms to Accelerate Fingerprint Matching on Parallel Platforms | RJ Barrientos, R Hernández-García, K Ortega, E Luque, D Peralta. | 2019 |
| Distributed, Numerically Stable Distance and Covariance Computation with MPI for Extremely Large Datasets | D Peralta, Y Saeys. | 2019 |
| Scalable approximate FRNN-OWA classification | OU Lenz, D Peralta, C Cornelis. | 2019 |
| Classification of Human White Blood Cells Using Machine Learning for Stain‐Free Imaging Flow Cytometry | M Lippeveld, C Knill, E Ladlow, A Fuller, LJ Michaelis, Y Saeys, A Filby, .... | 2019 |
| On the use of convolutional neural networks for robust classification of multiple fingerprint captures | D Peralta, I Triguero, S García, Y Saeys, JM Benitez, F Herrera. | 2018 |
| Multiobjective optimization for railway maintenance plans | D Peralta, C Bergmeir, M Krone, M Galende, M Menéndez, .... | 2018 |
| A snapshot of image pre-processing for convolutional neural networks: case study of MNIST | S Tabik, D Peralta, A Herrera-Poyatos, F Herrera. | 2017 |
| Minutiae-based fingerprint matching decomposition: methodology for big data frameworks | D Peralta, S García, JM Benitez, F Herrera. | 2017 |
| Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection | D Peralta, I Triguero, S García, Y Saeys, JM Benitez, F Herrera. | 2017 |
| DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases | D Peralta, I Triguero, S García, F Herrera, JM Benitez. | 2016 |
| Randomized greedy multi-start algorithm for the minimum common integer partition problem | M Lozano, FJ Rodriguez, D Peralta, C García-Martínez. | 2016 |
| Data mining in High Performance Computing for Fingerprint Identification | D Peralta. | 2016 |
| Un Estudio sobre el Preprocesamiento para Redes Neuronales Profundas y Aplicación sobre Reconocimiento de Dıgitos Manuscritos | D Peralta, A Herrera-Poyatos, F Herrera. | 2016 |
| A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation | D Peralta, M Galar, I Triguero, D Paternain, S García, E Barrenechea, .... | 2015 |
| Evolutionary feature selection for big data classification: A mapreduce approach | D Peralta, S del Río, S Ramírez-Gallego, I Triguero, JM Benitez, F Herrera. | 2015 |
| A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models | M Galar, J Derrac, D Peralta, I Triguero, D Paternain, C Lopez-Molina, .... | 2015 |
| A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal | M Galar, J Derrac, D Peralta, I Triguero, D Paternain, C Lopez-Molina, .... | 2015 |
| Supplementary material for “DPD-DFF: A Dual Phase Distributed Scheme with Double Fingerprint Fusion for Fast and Accurate Identification in Large Databases” | D Peralta, I Triguero, S García, F Herrera, JM Benitez. | 2015 |
| MRPR: A MapReduce solution for prototype reduction in big data classification | I Triguero, D Peralta, J Bacardit, S García, F Herrera. | 2015 |
| Minería de Datos en Computación de Altas Prestaciones para Identificación en Grandes Bases de Datos de Huellas Dactilares | D Peralta, JM Benítez, F Herrera. | 2015 |
| Clasificación Jerárquica de Huellas Dactilares con Selección de Características | D Peralta, I Triguero, Y Saeys, S García, JM Benítez, F Herrera. | 2015 |
| Fast fingerprint identification for large databases | D Peralta, I Triguero, R Sanchez-Reillo, F Herrera, JM Benítez. | 2014 |
| E-learning and educational data mining in cloud computing: an overview | A Fernández, D Peralta, JM Benítez, F Herrera. | 2014 |
| Minutiae filtering to improve both efficacy and efficiency of fingerprint matching algorithms | D Peralta, M Galar, I Triguero, O Miguel-Hurtado, JM Benitez, F Herrera. | 2014 |
| A combined mapreduce-windowing two-level parallel scheme for evolutionary prototype generation | I Triguero, D Peralta, J Bacardit, S García, F Herrera. | 2014 |
| An overview of e-learning in cloud computing | A Fernandez, D Peralta, F Herrera, JM Benítez. | 2012 |
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