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Onderzoeker
Daniel Peralta Cámara
Profiel
Projecten
Publicaties
Activiteiten
Prijzen & Erkenningen
38
Resultaten
2025
Development of scalable machine learning pipelines for image cytometry data
Maxim Lippeveld
Yvan Saeys
Daniel Peralta
Proefschrift
2025
Monitoring welfare of individual broiler chickens using ultra-wideband and inertial measurement unit wearables
Imad Khan
Daniel Peralta
Jaron Fontaine
Patricia Soster de Carvalho
Ana Martos Martinez-Caja
Gunther Antonissen
Frank Tuyttens
Eli De Poorter
A1
Artikel in een tijdschrift
in
SENSORS
2025
Semi-supervised constrained clustering : an in-depth overview, ranked taxonomy and future research directions
German Gonzalez-Almagro
Daniel Peralta
Eli De Poorter
Jose-Ramon Cano
Salvador Garcia
A1
Artikel in een tijdschrift
in
ARTIFICIAL INTELLIGENCE REVIEW
2025
2024
Goats on the move : evaluating machine learning models for goat activity analysis using accelerometer data
Arthur Hollevoet
Timo De Waele
Daniel Peralta
Frank Tuyttens
Eli De Poorter
Adnan Shahid
A1
Artikel in een tijdschrift
in
ANIMALS
2024
Improved deep learning based ECG classification through automated feature selection and weighted loss function
Timo De Waele
Daniel Peralta
Eli De Poorter
Adnan Shahid
P1
Conferentie
2024
MSDeepAMR : antimicrobial resistance prediction based on deep neural networks and transfer learning
Xaviera A. Lopez-Cortes
Jose M. Manriquez-Troncoso
Ruber Hernandez-Garcia
Daniel Peralta
A1
Artikel in een tijdschrift
in
FRONTIERS IN MICROBIOLOGY
2024
No imputation without representation
Oliver Urs Lenz
Daniel Peralta
Chris Cornelis
C1
Conferentie
2024
Polar encoding : a simple baseline approach for classification with missing values
Oliver Urs Lenz
Daniel Peralta
Chris Cornelis
A1
Artikel in een tijdschrift
in
IEEE TRANSACTIONS ON FUZZY SYSTEMS
2024
Polar encoding : a simple baseline approach for classification with missing values
Oliver Urs Lenz
Daniel Peralta
Chris Cornelis
C3
Conferentie
2024
SCIP : a scalable, reproducible, and open-source pipeline for morphological profiling image cytometry and microscopy data
Maxim Lippeveld
Daniel Peralta
Andrew Filby
Yvan Saeys
A1
Artikel in een tijdschrift
in
CYTOMETRY PART A
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
A1
Artikel in een tijdschrift
in
INTERNET OF THINGS
2024
2023
Forecast reconciliation for vaccine supply chain optimization
Bhanu Durganath Angam
A. Beretta
Eli De Poorter
M. Duvinage
Daniel Peralta
C1
Conferentie
2023
Fuzzy rough nearest neighbour classification on real-life datasets
Oliver Urs Lenz
Chris Cornelis
Daniel Peralta
Proefschrift
2023
Time-series-based feature selection and clustering for equine activity recognition using accelerometers
Timo De Waele
Adnan Shahid
Daniel Peralta
Anniek Eerdekens
Margot Deruyck
Frank Tuyttens
Eli De Poorter
A1
Artikel in een tijdschrift
in
IEEE SENSORS JOURNAL
2023
2022
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
C1
Conferentie
2022
Fuzzy-rough-learn 0.2 : a Python library for fuzzy rough set algorithms and one-class classification
Oliver Lenz
Chris Cornelis
Daniel Peralta
P1
Conferentie
2022
Multiclass heartbeat classification using ECG signals and convolutional neural networks
Muhammad Deedahwar Mazhar Qureshi
Daniel Peralta
Eli De Poorter
Rafia Mumtaz
Adnan Shahid
Ingrid Moerman
Timo De Waele
C1
Conferentie
2022
Optimised one-class classification performance
Oliver Lenz
Daniel Peralta
Chris Cornelis
A1
Artikel in een tijdschrift
in
MACHINE LEARNING
2022
Optimised one-class classification performance
Oliver Lenz
Daniel Peralta
Chris Cornelis
C3
Conferentie
2022
2021
A study on the calibration of fingerprint classifiers
Daniel Peralta
Lin Tang
Maxim Lippeveld
Yvan Saeys
P1
Conferentie
2021
Adapting fuzzy rough sets for classification with missing values
Oliver Urs Lenz
Daniel Peralta
Chris Cornelis
P1
Conferentie
2021
Average Localised Proximity : a new data descriptor with good default one-class classification performance
Oliver Lenz
Daniel Peralta
Chris Cornelis
C3
Conferentie
2021
Average localised proximity : a new data descriptor with good default one-class classification performance
Oliver Lenz
Daniel Peralta
Chris Cornelis
A1
Artikel in een tijdschrift
in
PATTERN RECOGNITION
2021
SCMFTS : scalable and distributed complexity measures and features for univariate and multivariate time series in Big Data environments
Francisco J. Baldan
Daniel Peralta
Yvan Saeys
Jose M. Benitez
A1
Artikel in een tijdschrift
in
INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS
2021
2020
Asynchronous processing for latent fingerprint identification on heterogeneous CPU-GPU systems
Andres J. Sanchez-Fernandez
Luis F. Romero
Daniel Peralta
Miguel Angel Medina-Perez
Yvan Saeys
Francisco Herrera
Siham Tabik
A1
Artikel in een tijdschrift
in
IEEE ACCESS
2020
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
A1
Artikel in een tijdschrift
in
CYTOMETRY PART A
2020
Fuzzy-rough-learn 0.1 : a Python library for machine learning with fuzzy rough sets
Oliver Lenz
Daniel Peralta
Chris Cornelis
P1
Conferentie
2020
Robust unsupervised dimensionality reduction based on feature clustering for single-cell imaging data
Daniel Peralta
Yvan Saeys
A1
Artikel in een tijdschrift
in
APPLIED SOFT COMPUTING
2020
Scalable approximate FRNN-OWA classification
Oliver Lenz
Daniel Peralta
Chris Cornelis
A1
Artikel in een tijdschrift
in
IEEE TRANSACTIONS ON FUZZY SYSTEMS
2020
2019
A scalable approach to fuzzy rough nearest neighbour classification with ordered weighted averaging operators
Oliver Lenz
Daniel Peralta
Chris Cornelis
P1
Conferentie
2019
Distributed, numerically stable distance and covariance computation with MPI for extremely large datasets
Daniel Peralta
Yvan Saeys
P1
Conferentie
2019
Heap-based algorithms to accelerate fingerprint matching on parallel platforms
Ricardo J. Barrientos
Ruber Hernández-García
Kevin Ortega
Emilio Luque
Daniel Peralta
C1
Conferentie
2019
2018
Multiobjective optimization for railway maintenance plans
Daniel Peralta
Christoph Bergmeir
Martin Krone
Marta Galende
Manuel Menéndez
Gregorio I Sainz-Palmero
Carlos Martinez Bertrand
Frank Klawonn
Jose M Benitez
A1
Artikel in een tijdschrift
in
JOURNAL OF COMPUTING IN CIVIL ENGINEERING
2018
On the use of convolutional neural networks for robust classification of multiple fingerprint captures
Daniel Peralta
Isaac Triguero
Salvador García
Yvan Saeys
Jose M Benitez
Francisco Herrera
A1
Artikel in een tijdschrift
in
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
2018
2017
A snapshot of image pre-processing for convolutional neural networks : case study of MNIST
Siham Tabik
Daniel Peralta
Andrés Herrera-Poyatos
Francisco Herrera
A1
Artikel in een tijdschrift
in
INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS
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
Yvan Saeys
Jose M Benitez
Francisco Herrera
A1
Artikel in een tijdschrift
in
KNOWLEDGE-BASED SYSTEMS
2017
Minutiae-based fingerprint matching decomposition: Methodology for big data frameworks
Daniel Peralta
Salvador García
Jose M Benitez
Francisco Herrera
A1
Artikel in een tijdschrift
in
INFORMATION SCIENCES
2017
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 Garcia
Francisco Herrera
Jose M Benitez
A1
Artikel in een tijdschrift
in
INFORMATION FUSION
2016