Sfoglia per Autore
Predictive reliability and validity of hospital cost analysis with dynamic neural network and genetic algorithm
2020-01-01 Son, Le Hoang; Ciaramella, Angelo; Thu, Duong Thi; Staiano, Antonino; Tuan, Tran Manh; Van Hai, Pham
Spam Detection by Machine Learning-Based Content Analysis
2020-01-01 Davino, D.; Camastra, F.; Ciaramella, A.; Staiano, A.
Correction to: Predictive reliability and validity of hospital cost analysis with dynamic neural network and genetic algorithm
2020-01-01 Hoang Son, Le; Ciaramella, Angelo; Thi Thu Huyen, Duong; Staiano, Antonino; Manh Tuan, Tran; Van Hai, Pham
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.
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.
Selected papers from the 15th and 16th international conference on Computational Intelligence Methods for Bioinformatics and Biostatistics
2021-01-01 Cazzaniga, P.; Raposo, M.; Besozzi, D.; Merelli, I.; Staiano, A.; Ciaramella, A.; Rizzo, R.; Manzoni, L.
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.
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.
A novel beach litter analysis system based on UAV images and Convolutional Neural Networks
2022-01-01 Scarrica, Vm; Aucelli, Ppc; Cagnazzo, C; Casolaro, A; Fiore, P; La Salandra, M; Rizzo, A; Scardino, G; Scicchitano, G; Staiano, A
Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation
2022-01-01 Giraldo, Jhony H.; Scarrica, Vincenzo; Staiano, Antonino; Camastra, Francesco; Bouwmans, Thierry
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.
A Synthetic Dataset for Learning Optical Flow in Underwater Environment
2023-01-01 Ferone, A.; Lazzaro, M.; Scarrica, V. M.; Ciaramella, A.; Staiano, A.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Predictive reliability and validity of hospital cost analysis with dynamic neural network and genetic algorithm | 1-gen-2020 | Son, Le Hoang; Ciaramella, Angelo; Thu, Duong Thi; Staiano, Antonino; Tuan, Tran Manh; Van Hai, Pham | |
| Spam Detection by Machine Learning-Based Content Analysis | 1-gen-2020 | Davino, D.; Camastra, F.; Ciaramella, A.; Staiano, A. | |
| Correction to: Predictive reliability and validity of hospital cost analysis with dynamic neural network and genetic algorithm | 1-gen-2020 | Hoang Son, Le; Ciaramella, Angelo; Thi Thu Huyen, Duong; Staiano, Antonino; Manh Tuan, Tran; Van Hai, Pham | |
| Correction to: Computational Intelligence Methods for Bioinformatics and Biostatistics (LNBI 11925, https://doi.org/10.1007/978-3-030-34585-3) | 1-gen-2020 | Raposo, M.; Ribeiro, P.; Serio, S.; Staiano, A.; Ciaramella, 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. | |
| Selected papers from the 15th and 16th international conference on Computational Intelligence Methods for Bioinformatics and Biostatistics | 1-gen-2021 | Cazzaniga, P.; Raposo, M.; Besozzi, D.; Merelli, I.; Staiano, A.; Ciaramella, A.; Rizzo, R.; Manzoni, L. | |
| 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. | |
| 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. | |
| A novel beach litter analysis system based on UAV images and Convolutional Neural Networks | 1-gen-2022 | Scarrica, Vm; Aucelli, Ppc; Cagnazzo, C; Casolaro, A; Fiore, P; La Salandra, M; Rizzo, A; Scardino, G; Scicchitano, G; Staiano, A | |
| Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation | 1-gen-2022 | Giraldo, Jhony H.; Scarrica, Vincenzo; Staiano, Antonino; Camastra, Francesco; Bouwmans, Thierry | |
| 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. | |
| A Synthetic Dataset for Learning Optical Flow in Underwater Environment | 1-gen-2023 | Ferone, A.; Lazzaro, M.; Scarrica, V. M.; Ciaramella, A.; Staiano, A. |
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