Sfoglia per Autore
Association of USF1 and APOA5 polymorphisms with Familial Combined Hyperlipidemia in an Italian population
2015-01-01 Di Taranto, M. D.; Staiano, Antonino; D’Agostino, M. N.; D’Angelo, A; Bloise, E; Morgante, A; Marotta, G; Gentile, ; Rubba, P; Fortunato, G.
Advances in Computational Methods for Genetic Diseases
2015-01-01 Camastra, Francesco; Amato, Roberto; Taranto, Maria Donata Di; Staiano, Antonino
Intrinsic dimension estimation: Advances and open problems
2016-01-01 Camastra, Francesco; Staiano, Antonino
A bayesian-based neural network model for solar photovoltaic power forecasting
2016-01-01 Ciaramella, Angelo; Staiano, Antonino; Cervone, Guido; Alessandrini, Stefano
Correlation dimension-based recognition of simple juggling movements
2017-01-01 Camastra, Francesco; Esposito, Francesco; Staiano, Antonino
An RBF neural network-based system for home smart metering
2017-01-01 Staiano, Antonino; Inneguale, Fabio
On the Estimation of Pollen Density on Non-target Lepidoptera Food Plant Leaves in Bt-Maize Exposure Models: Open Problems and Possible Neural Network-Based Solutions
2017-01-01 Camastra, Francesco; Ciaramella, Angelo; Staiano, Antonino
Linear SVM-based recognition of elementary juggling movements using correlation dimension of Euler Angles of a single arm
2018-01-01 Camastra, Francesco; Esposito, Francesco; Staiano, Antonino
On the role of clustering and visualization techniques in gene microarray data
2019-01-01 Ciaramella, A.; Staiano, A.
A Sparse-Modeling Based Approach for Class Specific Feature Selection
2019-01-01 Nardone, Davide; Ciaramella, Angelo; Staiano, Antonino
Spatio-temporal learning in predicting ambient particulate matter concentration by multi-layer perceptron
2019-01-01 Chianese, E.; Camastra, F.; Ciaramella, A.; Landi, T. C.; Staiano, A.; Riccio, A.
Fuzzy Similarity-Based Hierarchical Clustering for Atmospheric Pollutants Prediction
2019-01-01 Camastra, F.; Ciaramella, A.; Son, L. H.; Riccio, A.; Staiano, A.
Editorial: Analysis and synthesis of ecological data by machine learning
2019-01-01 Recknagel, F.; Staiano, A.
Content-based music agglomeration by sparse modeling and convolved independent component analysis
2019-01-01 Iannicelli, M.; Nardone, Davide; Ciaramella, A.; Staiano, A.
Data integration by fuzzy similarity-based hierarchical clustering
2020-01-01 Ciaramella, A.; Nardone, D.; Staiano, A.
Blind Source Separation Using Dictionary Learning in Wireless Sensor Network Scenario
2020-01-01 Ciaramella, A.; Nardone, D.; Staiano, A.
Compressive Sensing and Hierarchical Clustering for Microarray Data with Missing Values
2020-01-01 Ciaramella, A.; Nardone, D.; Staiano, A.
Correction to: Computational Intelligence Methods for Bioinformatics and Biostatistics (LNBI 11925, https://doi.org/10.1007/978-3-030-34585-3)
2020-01-01 Raposo, M.; Ribeiro, P.; Serio, S.; Staiano, A.; Ciaramella, A.
Spam Detection by Machine Learning-Based Content Analysis
2020-01-01 Davino, D.; Camastra, F.; Ciaramella, A.; Staiano, A.
Semantic Maps for Knowledge Management of Web and Social Information
2020-01-01 Camastra, F.; Ciaramella, A.; Maratea, A.; Son, L. H.; Staiano, A.
Legenda icone
- file ad accesso aperto
- file disponibili sulla rete interna
- file disponibili agli utenti autorizzati
- file disponibili solo agli amministratori
- file sotto embargo
- nessun file disponibile