top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Biomedical Engineering Systems and Technologies [[electronic resource] ] : 6th International Joint Conference, BIOSTEC 2013, Barcelona, Spain, February 11-14, 2013, Revised Selected Papers / / edited by Mireya Fernández-Chimeno, Pedro L. Fernandes, Sergio Alvarez, Deborah Stacey, Jordi Solé-Casals, Ana Fred, Hugo Gamboa
Biomedical Engineering Systems and Technologies [[electronic resource] ] : 6th International Joint Conference, BIOSTEC 2013, Barcelona, Spain, February 11-14, 2013, Revised Selected Papers / / edited by Mireya Fernández-Chimeno, Pedro L. Fernandes, Sergio Alvarez, Deborah Stacey, Jordi Solé-Casals, Ana Fred, Hugo Gamboa
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (XXI, 424 p. 179 illus.)
Disciplina 610.28
Collana Communications in Computer and Information Science
Soggetto topico Health informatics
Bioinformatics
Biomedical engineering
Optical data processing
Data mining
Health Informatics
Computational Biology/Bioinformatics
Biomedical Engineering and Bioengineering
Computer Imaging, Vision, Pattern Recognition and Graphics
Data Mining and Knowledge Discovery
Soggetto genere / forma Conference papers and proceedings.
ISBN 3-662-44485-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Biomedical electronics and devices -- Bioinformatics models, methods and algorithms -- Bio-inspired systems and signal processing -- Health informatics.
Record Nr. UNINA-9910298975203321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Machine Learning Methods with Noisy, Incomplete or Small Datasets
Machine Learning Methods with Noisy, Incomplete or Small Datasets
Autore Solé-Casals Jordi
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (316 p.)
Soggetto topico Information technology industries
Soggetto non controllato open contours
similarly shaped fish species
Discrete Cosine Transform (DCT)
Discrete Fourier Transform (DFT)
Extreme Learning Machines (ELM)
feature engineering
small data-sets
optimization
machine learning
preprocessing
image generation
weighted interpolation map
binarization
single sample per person
root canal measurement
multifrequency impedance
data augmentation
neural network
functional magnetic resonance imaging
independent component analysis
deep learning
recurrent neural network
functional connectivity
episodic memory
small sample learning
feature selection
noise elimination
space consistency
label correlations
empirical mode decomposition
sparse representations
tensor decomposition
tensor completion
machine translation
pairwise evaluation
educational data
small datasets
noisy datasets
smart building
Internet of Things (IoT)
Markov Chain Monte Carlo (MCMC)
ontology
graph model
Artificial Neural Network
Discriminant Analysis
dengue
feature extraction
sound event detection
non-negative matrix factorization
ultrasound images
shadow detection
shadow estimation
auto-encoders
semi-supervised learning
prediction
feature importance
feature elimination
hierarchical clustering
Parkinson’s disease
few-shot learning
permutation-variable importance
topological data analysis
persistent entropy
support-vector machine
data science
intelligent decision support
social vulnerability
gender-gap
digital-gap
COVID19
policy-making support
artificial intelligence
imperfect dataset
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557324603321
Solé-Casals Jordi  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Recent Advances in Nonlinear Speech Processing [[electronic resource] /] / edited by Anna Esposito, Marcos Faundez-Zanuy, Antonietta M. Esposito, Gennaro Cordasco, Thomas Drugman, Jordi Solé-Casals, Francesco Carlo Morabito
Recent Advances in Nonlinear Speech Processing [[electronic resource] /] / edited by Anna Esposito, Marcos Faundez-Zanuy, Antonietta M. Esposito, Gennaro Cordasco, Thomas Drugman, Jordi Solé-Casals, Francesco Carlo Morabito
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (288 p.)
Disciplina 006.454
Collana Smart Innovation, Systems and Technologies
Soggetto topico Computational intelligence
Natural language processing (Computer science)
Signal processing
Image processing
Speech processing systems
Artificial intelligence
Computational Intelligence
Natural Language Processing (NLP)
Signal, Image and Speech Processing
Artificial Intelligence
ISBN 3-319-28109-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Nonlinear Speech Processing: An Introduction -- Features of Sound Change -- Identifying Psychological, and Neural Disorders from Speech -- Improving VUI -- Identifying New Nonlinear Coding and Decoding Features -- The Social Life of Speech Features.
Record Nr. UNINA-9910254247303321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui