Sfoglia per Autore
Fuzzy Similarity-Based Hierarchical Clustering for Atmospheric Pollutants Prediction
2019-01-01 Camastra, F.; Ciaramella, A.; Son, L. H.; Riccio, A.; Staiano, A.
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.
Spam Detection by Machine Learning-Based Content Analysis
2020-01-01 Davino, D.; Camastra, F.; Ciaramella, A.; Staiano, A.
Italian Text Categorization with Lemmatization and Support Vector Machines
2020-01-01 Camastra, F.; Razi, G.
Semantic Maps for Knowledge Management of Web and Social Information
2020-01-01 Camastra, F.; Ciaramella, A.; Maratea, A.; Son, L. H.; Staiano, A.
A Fuzzy Rule Base Minimization Perspective in XAI
2021-01-01 Camastra, F.; Ciaramella, A.; Sposato, S.; Staiano, A.
Environmental Time Series Prediction with Missing Data by Machine Learning and Dynamics Recostruction
2021-01-01 Camastra, F.; Capone, V.; Ciaramella, A.; Landi, T. C.; Riccio, A.; Staiano, A.
Assessing the effects of Bt maize on the non-target pest Rhopalosiphum maidis by demographic and life-history measurement endpoints
2021-01-01 Lanzoni, A.; Bosi, S.; Bregola, V.; Camastra, F.; Ciaramella, A.; Staiano, A.; Dinelli, G.; Burgio, G.
Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation
2022-01-01 Giraldo, Jhony H.; Scarrica, Vincenzo; Staiano, Antonino; Camastra, Francesco; Bouwmans, Thierry
Prediction of environmental missing data time series by Support Vector Machine Regression and Correlation Dimension estimation
2022-01-01 Camastra, F.; Capone, V.; Ciaramella, A.; Riccio, A.; Staiano, A.
Manifold learning by a deep Gaussian process autoencoder
2023-01-01 Camastra, F.; Casolaro, A.; Iannuzzo, G.
AI-based Monitoring of Coastal and Marine Environments
2023-01-01 Camastra, F.; Ciaramella, A.; Di Nardo, E.; Ferone, A.; Maratea, A.; Montella, R.; Staiano, A.
Deep Learning for Time Series Forecasting: Advances and Open Problems
2023-01-01 Casolaro, A.; Capone, V.; Iannuzzo, G.; Camastra, F.
Fault Detection in a Blower by Machine Learning-Based Vibrational Analysis
In corso di stampa Scarrica, VINCENZO MARIANO; Camastra, Francesco; Diodati, Gianluca; Quaranta, Vincenzo
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Fuzzy Similarity-Based Hierarchical Clustering for Atmospheric Pollutants Prediction | 1-gen-2019 | Camastra, F.; Ciaramella, A.; Son, L. H.; Riccio, A.; Staiano, A. | |
| Spatio-temporal learning in predicting ambient particulate matter concentration by multi-layer perceptron | 1-gen-2019 | Chianese, E.; Camastra, F.; Ciaramella, A.; Landi, T. C.; Staiano, A.; Riccio, A. | |
| Spam Detection by Machine Learning-Based Content Analysis | 1-gen-2020 | Davino, D.; Camastra, F.; Ciaramella, A.; Staiano, A. | |
| Italian Text Categorization with Lemmatization and Support Vector Machines | 1-gen-2020 | Camastra, F.; Razi, G. | |
| Semantic Maps for Knowledge Management of Web and Social Information | 1-gen-2020 | Camastra, F.; Ciaramella, A.; Maratea, A.; Son, L. H.; Staiano, A. | |
| A Fuzzy Rule Base Minimization Perspective in XAI | 1-gen-2021 | Camastra, F.; Ciaramella, A.; Sposato, S.; Staiano, A. | |
| Environmental Time Series Prediction with Missing Data by Machine Learning and Dynamics Recostruction | 1-gen-2021 | Camastra, F.; Capone, V.; Ciaramella, A.; Landi, T. C.; Riccio, A.; Staiano, A. | |
| Assessing the effects of Bt maize on the non-target pest Rhopalosiphum maidis by demographic and life-history measurement endpoints | 1-gen-2021 | Lanzoni, A.; Bosi, S.; Bregola, V.; Camastra, F.; Ciaramella, A.; Staiano, A.; Dinelli, G.; Burgio, G. | |
| Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation | 1-gen-2022 | Giraldo, Jhony H.; Scarrica, Vincenzo; Staiano, Antonino; Camastra, Francesco; Bouwmans, Thierry | |
| Prediction of environmental missing data time series by Support Vector Machine Regression and Correlation Dimension estimation | 1-gen-2022 | Camastra, F.; Capone, V.; Ciaramella, A.; Riccio, A.; Staiano, A. | |
| Manifold learning by a deep Gaussian process autoencoder | 1-gen-2023 | Camastra, F.; Casolaro, A.; Iannuzzo, G. | |
| AI-based Monitoring of Coastal and Marine Environments | 1-gen-2023 | Camastra, F.; Ciaramella, A.; Di Nardo, E.; Ferone, A.; Maratea, A.; Montella, R.; Staiano, A. | |
| Deep Learning for Time Series Forecasting: Advances and Open Problems | 1-gen-2023 | Casolaro, A.; Capone, V.; Iannuzzo, G.; Camastra, F. | |
| Fault Detection in a Blower by Machine Learning-Based Vibrational Analysis | In corso di stampa | Scarrica, VINCENZO MARIANO; Camastra, Francesco; Diodati, Gianluca; Quaranta, Vincenzo |
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