Research Explorer

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Researcher

Daniel Peralta Cámara

Awards & Distinctions

30 Results

2024

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

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

U Journal Article in FRONTIERS IN MICROBIOLOGY

Polar Encoding: A Simple Baseline Approach for Classification With Missing Values

Oliver LenzDaniel Peralta CámaraChris Cornelis

U Journal Article in IEEE Transactions on Fuzzy Systems

2023

Forecast reconciliation for vaccine supply chain optimization

Bhanu Durganath AngamA. BerettaEli De PoorterM. DuvinageDaniel Peralta Cámara

Fuzzy rough nearest neighbour classification on real-life datasets

Oliver LenzChris CornelisDaniel Peralta Cámara

No imputation without representation

Oliver LenzDaniel Peralta CámaraChris Cornelis

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

Timo De WaeleAdnan ShahidDaniel Peralta CámaraAnniek 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 Peralta CámaraBen 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 Cámara

Multiclass heartbeat classification using ECG signals and convolutional neural networks

Muhammad Deedahwar Mazhar QureshiDaniel Peralta CámaraEli De PoorterRafia MumtazAdnan ShahidIngrid MoermanTimo De Waele

Optimised one-class classification performance

Oliver LenzDaniel Peralta CámaraChris Cornelis

Optimised one-class classification performance

Oliver LenzDaniel Peralta CámaraChris Cornelis

A1 Journal Article in MACHINE LEARNING

2021

A study on the calibration of fingerprint classifiers

Daniel Peralta CámaraLin TangMaxim LippeveldYvan Saeys

Adapting fuzzy rough sets for classification with missing values

Oliver LenzDaniel Peralta CámaraChris Cornelis

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

Oliver LenzDaniel Peralta CámaraChris Cornelis

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

Oliver LenzDaniel Peralta CámaraChris 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 Peralta CámaraYvan 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 Peralta CámaraMiguel 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 Cámara

A1 Journal Article in CYTOMETRY PART A

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

Oliver LenzDaniel Peralta CámaraChris Cornelis

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

Daniel Peralta CámaraYvan Saeys

A1 Journal Article in APPLIED SOFT COMPUTING

Scalable approximate FRNN-OWA classification

Oliver LenzDaniel Peralta CámaraChris 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 Peralta CámaraChris Cornelis

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

Daniel Peralta CámaraYvan Saeys

Heap-based algorithms to accelerate fingerprint matching on parallel platforms

Ricardo J. BarrientosRuber Hernández-GarcíaKevin OrtegaEmilio LuqueDaniel Peralta Cámara

2018

Multiobjective optimization for railway maintenance plans

Daniel Peralta CámaraChristoph 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 Peralta CámaraIsaac 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 Peralta CámaraAndrés 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 Peralta CámaraIsaac TrigueroSalvador GarcíaYvan SaeysJose M BenitezFrancisco Herrera

A1 Journal Article in KNOWLEDGE-BASED SYSTEMS

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

Daniel Peralta CámaraSalvador 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 Peralta CámaraIsaac TrigueroSalvador GarciaFrancisco HerreraJose M Benitez

A1 Journal Article in INFORMATION FUSION