Sfoglia per Serie LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
Accelerated gaussian convolution in a data assimilation scenario
2020-01-01 De Luca, P.; Galletti, A.; Giunta, G.; Marcellino, L.
Choosing the most suitable classifier for supporting assistive technology adoption in people with Parkinson’s disease: A fuzzy multi-criteria approach
2020-01-01 Ortiz-Barrios, M.; Cleland, I.; Donnelly, M.; Greer, J.; Petrillo, A.; Fernandez-Mendoza, Z.; Jaramillo-Rueda, N.
Compressive Sensing and Hierarchical Clustering for Microarray Data with Missing Values
2020-01-01 Ciaramella, A.; Nardone, D.; Staiano, A.
CUDA virtualization and remoting for gpgpu based acceleration offloading at the edge
2019-01-01 Mentone, A.; Di Luccio, D.; Landolfi, L.; Kosta, S.; Montella, R.
Environment Object Detection for Marine ARGO Drone by Deep Learning
2021-01-01 Ciaramella, A.; Perrotta, F.; Pappone, G.; Aucelli, P.; Peluso, F.; Mattei, G.
A FAHP-VIKOR Approach for Supporting the Selection of Tomography Equipment in LMIC Hospitals: A Case Study
2021-01-01 Ortiz-Barrios, M.; Jaramillo-Rueda, N.; Petrillo, A.; Fernandez-Mendoza, Z.; Vidal-Pacheco, L.
Feature selection through composition of rough–fuzzy sets
2017-01-01 Ferone, Alessio; Petrosino, Alfredo
First Experiences on Parallelizing Peer Methods for Numerical Solution of a Vegetation Model
2022-01-01 Conte, D.; De Luca, P.; Galletti, A.; Giunta, G.; Marcellino, L.; Pagano, G.; Paternoster, B.
Fuzzy Similarity-Based Hierarchical Clustering for Atmospheric Pollutants Prediction
2019-01-01 Camastra, F.; Ciaramella, A.; Son, L. H.; Riccio, A.; Staiano, A.
A GPU Algorithm for Outliers Detection in TESS Light Curves
2021-01-01 Fiscale, S.; De Luca, P.; Inno, L.; Marcellino, L.; Galletti, A.; Rotundi, A.; Ciaramella, A.; Covone, G.; Quintana, E.
A GPU-Based Algorithm for Environmental Data Filtering
2022-01-01 De Luca, P.; Galletti, A.; Marcellino, L.
An information-theoretic and dissipative systems approach to the study of knowledge diffusion and emerging complexity in innovation systems
2020-01-01 Achermann, G.; De Luca, G.; Simoni, M.
A Neural Network for classification of chambers arrangement in foraminifera
2006-01-01 Marmo, R; Amodio, Sabrina
Performance Analysis of a Multicore Implementation for Solving a Two-Dimensional Inverse Anomalous Diffusion Problem
2020-01-01 De Luca, P.; Galletti, A.; Giunta, G.; Marcellino, L.; Raei, M.
Preface
2021-01-01 Zhou, W.; Mu, Y.; Ip, K. P.; Castiglione, A.; Yang, X.
Preface
2020-01-01 Raposo, M.; Ribeiro, P.; Serio, S.; Staiano, A.; Ciaramella, A.
Preface
2021-01-01 Zhou, W.; Mu, Y.; Ip, K. P.; Castiglione, A.; Yang, X.
Preface
2019-01-01 Montella, R.; Ciaramella, A.; Fortino, G.; Guerrieri, A.; Liotta, A.
Preface
2022-01-01 Lai, Yongxuan; Wang, Tian; Jiang, Min; Xu, Guangquan; Liang, Wei; Castiglione, Aniello
Preface
2022-01-01 Lai, Yongxuan; Wang, Tian; Jiang, Min; Xu, Guangquan; Liang, Wei; Castiglione, Aniello
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Accelerated gaussian convolution in a data assimilation scenario | 1-gen-2020 | De Luca, P.; Galletti, A.; Giunta, G.; Marcellino, L. | |
| Choosing the most suitable classifier for supporting assistive technology adoption in people with Parkinson’s disease: A fuzzy multi-criteria approach | 1-gen-2020 | Ortiz-Barrios, M.; Cleland, I.; Donnelly, M.; Greer, J.; Petrillo, A.; Fernandez-Mendoza, Z.; Jaramillo-Rueda, N. | |
| Compressive Sensing and Hierarchical Clustering for Microarray Data with Missing Values | 1-gen-2020 | Ciaramella, A.; Nardone, D.; Staiano, A. | |
| CUDA virtualization and remoting for gpgpu based acceleration offloading at the edge | 1-gen-2019 | Mentone, A.; Di Luccio, D.; Landolfi, L.; Kosta, S.; Montella, R. | |
| Environment Object Detection for Marine ARGO Drone by Deep Learning | 1-gen-2021 | Ciaramella, A.; Perrotta, F.; Pappone, G.; Aucelli, P.; Peluso, F.; Mattei, G. | |
| A FAHP-VIKOR Approach for Supporting the Selection of Tomography Equipment in LMIC Hospitals: A Case Study | 1-gen-2021 | Ortiz-Barrios, M.; Jaramillo-Rueda, N.; Petrillo, A.; Fernandez-Mendoza, Z.; Vidal-Pacheco, L. | |
| Feature selection through composition of rough–fuzzy sets | 1-gen-2017 | Ferone, Alessio; Petrosino, Alfredo | |
| First Experiences on Parallelizing Peer Methods for Numerical Solution of a Vegetation Model | 1-gen-2022 | Conte, D.; De Luca, P.; Galletti, A.; Giunta, G.; Marcellino, L.; Pagano, G.; Paternoster, B. | |
| Fuzzy Similarity-Based Hierarchical Clustering for Atmospheric Pollutants Prediction | 1-gen-2019 | Camastra, F.; Ciaramella, A.; Son, L. H.; Riccio, A.; Staiano, A. | |
| A GPU Algorithm for Outliers Detection in TESS Light Curves | 1-gen-2021 | Fiscale, S.; De Luca, P.; Inno, L.; Marcellino, L.; Galletti, A.; Rotundi, A.; Ciaramella, A.; Covone, G.; Quintana, E. | |
| A GPU-Based Algorithm for Environmental Data Filtering | 1-gen-2022 | De Luca, P.; Galletti, A.; Marcellino, L. | |
| An information-theoretic and dissipative systems approach to the study of knowledge diffusion and emerging complexity in innovation systems | 1-gen-2020 | Achermann, G.; De Luca, G.; Simoni, M. | |
| A Neural Network for classification of chambers arrangement in foraminifera | 1-gen-2006 | Marmo, R; Amodio, Sabrina | |
| Performance Analysis of a Multicore Implementation for Solving a Two-Dimensional Inverse Anomalous Diffusion Problem | 1-gen-2020 | De Luca, P.; Galletti, A.; Giunta, G.; Marcellino, L.; Raei, M. | |
| Preface | 1-gen-2021 | Zhou, W.; Mu, Y.; Ip, K. P.; Castiglione, A.; Yang, X. | |
| Preface | 1-gen-2020 | Raposo, M.; Ribeiro, P.; Serio, S.; Staiano, A.; Ciaramella, A. | |
| Preface | 1-gen-2021 | Zhou, W.; Mu, Y.; Ip, K. P.; Castiglione, A.; Yang, X. | |
| Preface | 1-gen-2019 | Montella, R.; Ciaramella, A.; Fortino, G.; Guerrieri, A.; Liotta, A. | |
| Preface | 1-gen-2022 | Lai, Yongxuan; Wang, Tian; Jiang, Min; Xu, Guangquan; Liang, Wei; Castiglione, Aniello | |
| Preface | 1-gen-2022 | Lai, Yongxuan; Wang, Tian; Jiang, Min; Xu, Guangquan; Liang, Wei; Castiglione, Aniello |
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