Pere Marti-Puig (0000-0001-6582-4551)

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Pere Marti-Puig (https://orcid.org/0000-0001-6582-4551) received a PhD and an M.Sc. degree both in Telecommunications Engineering from BarcelonaTECH (Universitat Politècnica de Catalunya), Barcelona, in 2001 and 1993, respectively. He joined the Dept. of Digital and Information Technologies at the University of Vic (UVIC) in 1993 as Lecturer and was promoted to Associate Profesor in 2001. His research interests are focused on multidimensional signal and image processing, especially with particular emphasis on developing applications in artificial intelligence and machine learning. In addition, he has been participating and leading different national competitive projects and various projects of knowledge transfer to private companies.

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El sindrome de la pesca: cambios multi-escala inducidos por las respuestas de los peces a la pesca. Soluciones tecnológicas.

2016-05 to 2020-05 | Award

Ministerio de Economía y Competitividad (Madrid, ES)

GRANT_NUMBER:

CTM2015-69126.C2-2-R

Pere Marti-Puig

https://orcid.org/0000-0001-6582-4551

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Funding (8)

El sindrome de la pesca: cambios multi-escala inducidos por las respuestas de los peces a la pesca. Soluciones tecnológicas.

Algorismes per a la diagnosi i la prognosi d'un sistema de captació, depuració i distribució d'aigua.

Optimnització del procés industrial MAFRICA a partir de tècniques de modelització d'events discrets, tractament de dades i classificació automàtica

Estudi i disseny d'arquitectures i protocols d'interconnexió al núvol per a serveis de control d'accés. Generalitat de Catalunya

Study and design of classification algorithms for diagnosis and prognosis of failures in wind turbines from SCADA data

ANALISIS DE FORMAS DE OTOLITOS 3D

EDUCACIÓN SUPERIOR INDÍGENA. EVALUACIÓN Y APOYO DEL SISTEMA INTERCULTURAL DE LA UNIVERSIDAD VERACRUZANA

Codiseño para Prototipado Rápido de Sistemas Embebidos Basados en Plataformas reconfigurables

Works (50 of 94)

Exploring Tensor Completion for Missing Data Estimation in Wind Farms

Assessing the Capability of Advanced AI Models in Cardiovascular Symptom Recognition: A Comparative Study

Dynamic Clustering of Wind Turbines Using SCADA Signal Analysis

Dynamic Wind Turbines clustering according to SCADA signals shapes

Automatic shoreline detection by processing planview timex images using bi-LSTM networks

Enhancing Reliability in Wind Turbine Power Curve Estimation

Industrial AI in condition-based maintenance: A case study in wooden piece manufacturing

Enhancing Reliability in Wind Turbine Power Curve Estimation

Special Issue “Machine Learning Methods for Biomedical Data Analysis”

A Fast Approach to Removing Muscle Artifacts for EEG with Signal Serialization Based Ensemble Empirical Mode Decomposition

Exploring the Effect of Temporal Aggregation on SCADA Data for Wind Turbine Prognosis Using a Normality Model

Machine Learning Methods with Noisy, Incomplete or Small Datasets

Wind Turbine Prognosis Models Based on SCADA Data and Extreme Learning Machines

Paradox of otolith shape indices: routine but overestimated use

Decomposition Methods for Machine Learning with Small, Incomplete or Noisy Datasets

Automatic Classification of Morphologically Similar Fish Species Using Their Head Contours

Fourier-based contour descriptors to relax positional standardization of the otolith images in AFORO queries

A recognition–verification system for noisy faces based on an empirical mode decomposition with Green’s functions

Automatic ham classification method based on support vector machine model increases accuracy and benefits compared to manual classification

Double Tensor-Decomposition for SCADA Data Completion in Water Networks

A Text-Mining Approach to Assess the Failure Condition of Wind Turbines Using Maintenance Service History

Different Approaches to SCADA Data Completion in Water Networks

Feature Selection Algorithms for Wind Turbine Failure Prediction

Discrete Cosine Transform for the Analysis of Essential Tremor

A New Algorithm for Speech Enhancement Based on Multivariate Empirical Mode Decomposition

Foreground Detection in a Multi-Target Fish Tracking from Video-Recordings Using U-Net Based Architecture

Sorting Hams Using Bagged Decision Trees in a Commercial Pig Slaughterhouse

On-line Ham Grading using pattern recognition models based on available data in commercial pig slaughterhouses

Quantitatively scoring behavior from video-recorded, long-lasting fish trajectories

Effects of the pre-processing algorithms in fault diagnosis of wind turbines

Identifying Health Status of Wind Turbines by Using Self Organizing Maps and Interpretation-Oriented Post-Processing Tools

Impact of target variable distribution type over the regression analysis in wind turbine data

Using stereoscopic video cameras to evaluate seagrass meadows nursery function in the Mediterranean

A rotation-invariant feature space according to environmental applications needs in a data mining system using fish otoliths

Empirical evidence for day-to-day persistence of higher and lower American and European stock indices

New parameterisation method for three-dimensional otolith surface images

Features extraction based on the Discrete Hartley Transform for closed contour

Extreme phenotypic polymorphism in the coral genus Pocillopora; micro-morphology corresponds to mitochondrial groups, while colony morphology does not

Low-complex real-time breathing monitoring system for smartphones

Pre-processing techniques applied to Automatic Taxon Identification on fish otoliths

An experimental features selection approach in a multiclass classifier

Automatic trend line generation for time-series analysis: A graphical approach

Bathymetrical distribution and size structure of cold-water coral populations in the Cap de Creus and Lacaze-Duthiers canyons (northwestern Mediterranean)

Closed contour shape descriptors with high compression properties based on the discrete hartley transform

Empirical mode decomposition-based face recognition system

Parameterization of written signatures based on EFD

Speech enhancement: A multivariate empirical mode decomposition approach

Towards a low-complex breathing monitoring system based on acoustic signals

Stereo video surveillance multi-agent system: New solutions for human motion analysis

Efficient representation of contours using splines implemented with FIR filters