Research Explorer

Your browser does not support JavaScript or JavaScript is not enabled. Without JavaScript some functions of this webapplication may be disabled or cause error messages. To enable JavaScript, please consult the manual of your browser or contact your system administrator.

Researcher

Daniel Peralta Cámara

Awards & Distinctions

39 Results

2025

Development of scalable machine learning pipelines for image cytometry data

Maxim LippeveldYvan SaeysDaniel Peralta

Monitoring welfare of individual broiler chickens using ultra-wideband and inertial measurement unit wearables

Imad KhanDaniel PeraltaJaron FontainePatricia Soster de CarvalhoAna Martos Martinez-CajaGunther AntonissenFrank TuyttensEli De Poorter

A1 Journal Article in SENSORS

Morphological Profiling of Imaging Flow Cytometry Data Uncovers Heterogeneity in Infected Gephyrocapsa huxleyi Cultures

Maxim LippeveldDaniel PeraltaAssaf VardiFlora VincentYvan Saeys

U Journal Article in CYTOMETRY PART A

Semi-supervised constrained clustering : an in-depth overview, ranked taxonomy and future research directions

German Gonzalez-AlmagroDaniel PeraltaEli De PoorterJose-Ramon CanoSalvador Garcia

A1 Journal Article in ARTIFICIAL INTELLIGENCE REVIEW

2024

Goats on the move : evaluating machine learning models for goat activity analysis using accelerometer data

Arthur HollevoetTimo De WaeleDaniel PeraltaFrank TuyttensEli De PoorterAdnan Shahid

A1 Journal Article in ANIMALS

Improved deep learning based ECG classification through automated feature selection and weighted loss function

Timo De WaeleDaniel PeraltaEli De PoorterAdnan Shahid

MSDeepAMR : antimicrobial resistance prediction based on deep neural networks and transfer learning

Xaviera A. Lopez-CortesJose M. Manriquez-TroncosoRuber Hernandez-GarciaDaniel Peralta

A1 Journal Article in FRONTIERS IN MICROBIOLOGY

No imputation without representation

Oliver Urs LenzDaniel PeraltaChris Cornelis

Polar encoding : a simple baseline approach for classification with missing values

Oliver Urs LenzDaniel PeraltaChris Cornelis

A1 Journal Article in IEEE TRANSACTIONS ON FUZZY SYSTEMS

Polar encoding : a simple baseline approach for classification with missing values

Oliver Urs LenzDaniel PeraltaChris Cornelis

SCIP : a scalable, reproducible, and open-source pipeline for morphological profiling image cytometry and microscopy data

Maxim LippeveldDaniel PeraltaAndrew FilbyYvan Saeys

A1 Journal Article in CYTOMETRY PART A

Strategy analysis of badminton players using deep learning from IMU and UWB wearables

Ben Van HerbruggenJaron FontaineJonas SimoenLennert De MeyDaniel PeraltaAdnan ShahidEli De Poorter

A1 Journal Article in INTERNET OF THINGS

2023

Forecast reconciliation for vaccine supply chain optimization

Bhanu Durganath AngamA. BerettaEli De PoorterM. DuvinageDaniel Peralta

Fuzzy rough nearest neighbour classification on real-life datasets

Oliver Urs LenzChris CornelisDaniel Peralta

Time-series-based feature selection and clustering for equine activity recognition using accelerometers

Timo De WaeleAdnan ShahidDaniel PeraltaAnniek EerdekensMargot DeruyckFrank TuyttensEli De Poorter

A1 Journal Article in IEEE SENSORS JOURNAL

2022

Badminton stroke classification based on accelerometer data : from individual to generalized models

Daniel PeraltaBen Van HerbruggenJaron FontaineWout DebyserJorg WiemeEli De Poorter

Fuzzy-rough-learn 0.2 : a Python library for fuzzy rough set algorithms and one-class classification

Oliver LenzChris CornelisDaniel Peralta

Multiclass heartbeat classification using ECG signals and convolutional neural networks

Muhammad Deedahwar Mazhar QureshiDaniel PeraltaEli De PoorterRafia MumtazAdnan ShahidIngrid MoermanTimo De Waele

Optimised one-class classification performance

Oliver LenzDaniel PeraltaChris Cornelis

Optimised one-class classification performance

Oliver LenzDaniel PeraltaChris Cornelis

A1 Journal Article in MACHINE LEARNING

2021

A study on the calibration of fingerprint classifiers

Daniel PeraltaLin TangMaxim LippeveldYvan Saeys

Adapting fuzzy rough sets for classification with missing values

Oliver Urs LenzDaniel PeraltaChris Cornelis

Average Localised Proximity : a new data descriptor with good default one-class classification performance

Oliver LenzDaniel PeraltaChris Cornelis

Average localised proximity : a new data descriptor with good default one-class classification performance

Oliver LenzDaniel PeraltaChris Cornelis

A1 Journal Article in PATTERN RECOGNITION

SCMFTS : scalable and distributed complexity measures and features for univariate and multivariate time series in Big Data environments

Francisco J. BaldanDaniel PeraltaYvan SaeysJose M. Benitez

A1 Journal Article in INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS

2020

Asynchronous processing for latent fingerprint identification on heterogeneous CPU-GPU systems

Andres J. Sanchez-FernandezLuis F. RomeroDaniel PeraltaMiguel Angel Medina-PerezYvan SaeysFrancisco HerreraSiham Tabik

A1 Journal Article in IEEE ACCESS

Classification of human white blood cells using machine learning for stain-free imaging flow cytometry

Maxim LippeveldCarly KnillEmma LadlowAndrew FullerLouise J MichaelisYvan SaeysAndrew FilbyDaniel Peralta

A1 Journal Article in CYTOMETRY PART A

Fuzzy-rough-learn 0.1 : a Python library for machine learning with fuzzy rough sets

Oliver LenzDaniel PeraltaChris Cornelis

Robust unsupervised dimensionality reduction based on feature clustering for single-cell imaging data

Daniel PeraltaYvan Saeys

A1 Journal Article in APPLIED SOFT COMPUTING

Scalable approximate FRNN-OWA classification

Oliver LenzDaniel PeraltaChris Cornelis

A1 Journal Article in IEEE TRANSACTIONS ON FUZZY SYSTEMS

2019

A scalable approach to fuzzy rough nearest neighbour classification with ordered weighted averaging operators

Oliver LenzDaniel PeraltaChris Cornelis

Distributed, numerically stable distance and covariance computation with MPI for extremely large datasets

Daniel PeraltaYvan Saeys

Heap-based algorithms to accelerate fingerprint matching on parallel platforms

Ricardo J. BarrientosRuber Hernández-GarcíaKevin OrtegaEmilio LuqueDaniel Peralta

2018

Multiobjective optimization for railway maintenance plans

Daniel PeraltaChristoph BergmeirMartin KroneMarta GalendeManuel MenéndezGregorio I Sainz-PalmeroCarlos Martinez BertrandFrank KlawonnJose M Benitez

A1 Journal Article in JOURNAL OF COMPUTING IN CIVIL ENGINEERING

On the use of convolutional neural networks for robust classification of multiple fingerprint captures

Daniel PeraltaIsaac TrigueroSalvador GarcíaYvan SaeysJose M BenitezFrancisco Herrera

A1 Journal Article in INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS

2017

A snapshot of image pre-processing for convolutional neural networks : case study of MNIST

Siham TabikDaniel PeraltaAndrés Herrera-PoyatosFrancisco Herrera

A1 Journal Article in INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS

Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection

Daniel PeraltaIsaac TrigueroSalvador GarcíaYvan SaeysJose M BenitezFrancisco Herrera

A1 Journal Article in KNOWLEDGE-BASED SYSTEMS

Minutiae-based fingerprint matching decomposition: Methodology for big data frameworks

Daniel PeraltaSalvador GarcíaJose M BenitezFrancisco Herrera

A1 Journal Article in INFORMATION SCIENCES

2016

DPD-DFF : a dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases

Daniel PeraltaIsaac TrigueroSalvador GarciaFrancisco HerreraJose M Benitez

A1 Journal Article in INFORMATION FUSION