BIANCHINI, MONICA
BIANCHINI, MONICA
Dipartimento di Ingegneria dell'Informazione e Scienze Matematiche
A Bioinformatics Approach to Investigate Structural and Non-Structural Proteins in Human Coronaviruses
2022-01-01 Cicaloni, V.; Costanti, F.; Pasqui, A.; Bianchini, M.; Niccolai, N.; Bongini, P.
A comparative study of inductive and transductive learning with feedforward neural networks
2016-01-01 Bianchini, Monica; Belahcen, Anas; Scarselli, Franco
A cyclostationary neural network model for the prediction of the NO2 concentration
2006-01-01 Bianchini, Monica; DI IORIO, Ernesto; Maggini, Marco; Mocenni, Chiara; Pucci, Augusto
A deep attention network for predicting amino acid signals in the formation of α-helices
2020-01-01 Visibelli, A.; Bongini, P.; Rossi, A.; Niccolai, N.; Bianchini, M.
A deep learning approach to analyze NMR Spectra of SH-SY5Y cells for Alzheimer’s disease diagnosis
2023-01-01 Costanti, Filippo; Kola, Arian; Scarselli, Franco; Valensin, Daniela; Bianchini, Monica
A deep learning approach to bacterial colony segmentation
2018-01-01 Andreini, Paolo; Bonechi, Simone; Bianchini, Monica; Mecocci, Alessandro; Scarselli, Franco
A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs
2023-01-01 Bongini, Pietro; Messori, Elisa; Pancino, Niccolo; Bianchini, Monica
A Discrete Geometry Method for Atom Depth Computation in Complex Molecular Systems
2024-01-01 Marziali, Sara; Nunziati, Giacomo; Prete, ALESSIA LUCIA; Niccolai, Neri; Brunetti, Sara; Bianchini, Monica
A Heuristic Global Optimisation Algorithm for Training Recurrent Neural Networks
1995-01-01 Bianchini, Monica; S., Fanelli; Gori, Marco; Maggini, Marco; M., Protasi
A Hybrid Deep Learning Approach for Liver Tumor Segmentation Using DeepLabV3+ and Hidden Markov Models
2024-01-01 Tanfoni, Marco; Ceroni, ELIA GIUSEPPE; Maggini, Marco; Pancino, Niccolò; Bianchini, Monica
A Mixed Statistical and Machine Learning Approach for the Analysis of Multimodal Trail Making Test Data
2021-01-01 Pancino, Niccolò; Graziani, Caterina; Lachi, Veronica; Sampoli, Maria Lucia; Ștefǎnescu, Emanuel; Bianchini, Monica; Dimitri, Giovanna Maria
A Mobile App for Detecting Potato Crop Diseases
2024-01-01 Medina, Dunia Pineda; Cabrera, Ileana Miranda; de la Cruz, Rolisbel Alfonso; Guerra Arzuaga, Lizandra; Cuello Portal, Sandra; Bianchini, Monica
A MobileNet Neural Network Model for Fault Diagnosis in Roller Bearings
2023-01-01 Intravaia, M.; Fort, A.; Landi, E.; Mugnaini, M.; Bianchini, M.; Corradini, B. T.; Scarselli, F.; Tanfoni, M.; Spinelli, F.
A Multi-Stage GAN for Multi-Organ Chest X-ray Image Generation and Segmentation
2021-01-01 Ciano, Giorgio; Andreini, Paolo; Mazzierli, Tommaso; Bianchini, Monica; Scarselli, Franco
A neural network approach for learning object ranking
2008-01-01 Rigutini, Leonardo; Papini, Tiziano; Maggini, Marco; Bianchini, Monica
A Neural Network Approach for the Analysis of Reproducible Ribo–Seq Profiles
2022-01-01 Giacomini, Giorgia; Graziani, Caterina; Lachi, Veronica; Bongini, Pietro; Pancino, Niccolò; Bianchini, Monica; Chiarugi, Davide; Valleriani, Angelo; Andreini, Paolo
A neural network approach to similarity learning
2008-01-01 Melacci, Stefano; Sarti, Lorenzo; Maggini, Marco; Bianchini, Monica
A new deep learning approach integrated with clinical data for the dermoscopic differentiation of early melanomas from atypical nevi
2021-01-01 Tognetti, Linda; Bonechi, Simone; Andreini, Paolo; Bianchini, Monica; Scarselli, Franco; Cevenini, Gabriele; Moscarella, Elvira; Farnetani, Francesca; Longo, Caterina; Lallas, Aimilios; Carrera, Cristina; Puig, Susana; Tiodorovic, Danica; Luc Perrot, Jean; Pellacani, Giovanni; Argenziano, Giuseppe; Cinotti, Elisa; Cataldo, Gennaro; Balistreri, Alberto; Mecocci, Alessandro; Gori, Marco; Rubegni, Pietro; Cartocci, Alessandra
A new integrated and interactive tool applicable to inborn errors of metabolism: Application to alkaptonuria
2018-01-01 Spiga, Ottavia; Cicaloni, Vittoria; Zatkova, Andrea; Millucci, Lia; Bernardini, Giulia; Bernini, Andrea; Marzocchi, Barbara; Bianchini, Monica; Zugarini, Andrea; Rossi, Alberto; Zazzeri, Matteo; Trezza, Alfonso; Frediani, Bruno; Ranganath, Lakshminarayan; Braconi, Daniela; Santucci, Annalisa
A possible strategy to fight COVID-19: Interfering with spike glycoprotein trimerization
2020-01-01 Bongini, Pietro; Trezza, Alfonso; Bianchini, Monica; Spiga, Ottavia; Niccolai, Neri
| Titolo | Data di pubblicazione | Autore(i) | File | Abstract |
|---|---|---|---|---|
| A Bioinformatics Approach to Investigate Structural and Non-Structural Proteins in Human Coronaviruses | 1-gen-2022 | Cicaloni, V.; Costanti, F.; Pasqui, A.; Bianchini, M.; Niccolai, N.; Bongini, P. | - | |
| A comparative study of inductive and transductive learning with feedforward neural networks | 1-gen-2016 | Bianchini, Monica; Belahcen, Anas; Scarselli, Franco | - | |
| A cyclostationary neural network model for the prediction of the NO2 concentration | 1-gen-2006 | Bianchini, Monica; DI IORIO, Ernesto; Maggini, Marco; Mocenni, Chiara; Pucci, Augusto | - | |
| A deep attention network for predicting amino acid signals in the formation of α-helices | 1-gen-2020 | Visibelli, A.; Bongini, P.; Rossi, A.; Niccolai, N.; Bianchini, M. | - | |
| A deep learning approach to analyze NMR Spectra of SH-SY5Y cells for Alzheimer’s disease diagnosis | 1-gen-2023 | Costanti, Filippo; Kola, Arian; Scarselli, Franco; Valensin, Daniela; Bianchini, Monica | - | |
| A deep learning approach to bacterial colony segmentation | 1-gen-2018 | Andreini, Paolo; Bonechi, Simone; Bianchini, Monica; Mecocci, Alessandro; Scarselli, Franco | - | |
| A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs | 1-gen-2023 | Bongini, Pietro; Messori, Elisa; Pancino, Niccolo; Bianchini, Monica | - | |
| A Discrete Geometry Method for Atom Depth Computation in Complex Molecular Systems | 1-gen-2024 | Marziali, Sara; Nunziati, Giacomo; Prete, ALESSIA LUCIA; Niccolai, Neri; Brunetti, Sara; Bianchini, Monica | - | |
| A Heuristic Global Optimisation Algorithm for Training Recurrent Neural Networks | 1-gen-1995 | Bianchini, Monica; S., Fanelli; Gori, Marco; Maggini, Marco; M., Protasi | - | |
| A Hybrid Deep Learning Approach for Liver Tumor Segmentation Using DeepLabV3+ and Hidden Markov Models | 1-gen-2024 | Tanfoni, Marco; Ceroni, ELIA GIUSEPPE; Maggini, Marco; Pancino, Niccolò; Bianchini, Monica | - | |
| A Mixed Statistical and Machine Learning Approach for the Analysis of Multimodal Trail Making Test Data | 1-gen-2021 | Pancino, Niccolò; Graziani, Caterina; Lachi, Veronica; Sampoli, Maria Lucia; Ștefǎnescu, Emanuel; Bianchini, Monica; Dimitri, Giovanna Maria | - | |
| A Mobile App for Detecting Potato Crop Diseases | 1-gen-2024 | Medina, Dunia Pineda; Cabrera, Ileana Miranda; de la Cruz, Rolisbel Alfonso; Guerra Arzuaga, Lizandra; Cuello Portal, Sandra; Bianchini, Monica | - | |
| A MobileNet Neural Network Model for Fault Diagnosis in Roller Bearings | 1-gen-2023 | Intravaia, M.; Fort, A.; Landi, E.; Mugnaini, M.; Bianchini, M.; Corradini, B. T.; Scarselli, F.; Tanfoni, M.; Spinelli, F. | - | |
| A Multi-Stage GAN for Multi-Organ Chest X-ray Image Generation and Segmentation | 1-gen-2021 | Ciano, Giorgio; Andreini, Paolo; Mazzierli, Tommaso; Bianchini, Monica; Scarselli, Franco | - | |
| A neural network approach for learning object ranking | 1-gen-2008 | Rigutini, Leonardo; Papini, Tiziano; Maggini, Marco; Bianchini, Monica | - | |
| A Neural Network Approach for the Analysis of Reproducible Ribo–Seq Profiles | 1-gen-2022 | Giacomini, Giorgia; Graziani, Caterina; Lachi, Veronica; Bongini, Pietro; Pancino, Niccolò; Bianchini, Monica; Chiarugi, Davide; Valleriani, Angelo; Andreini, Paolo | - | |
| A neural network approach to similarity learning | 1-gen-2008 | Melacci, Stefano; Sarti, Lorenzo; Maggini, Marco; Bianchini, Monica | - | |
| A new deep learning approach integrated with clinical data for the dermoscopic differentiation of early melanomas from atypical nevi | 1-gen-2021 | Tognetti, Linda; Bonechi, Simone; Andreini, Paolo; Bianchini, Monica; Scarselli, Franco; Cevenini, Gabriele; Moscarella, Elvira; Farnetani, Francesca; Longo, Caterina; Lallas, Aimilios; Carrera, Cristina; Puig, Susana; Tiodorovic, Danica; Luc Perrot, Jean; Pellacani, Giovanni; Argenziano, Giuseppe; Cinotti, Elisa; Cataldo, Gennaro; Balistreri, Alberto; Mecocci, Alessandro; Gori, Marco; Rubegni, Pietro; Cartocci, Alessandra | - | |
| A new integrated and interactive tool applicable to inborn errors of metabolism: Application to alkaptonuria | 1-gen-2018 | Spiga, Ottavia; Cicaloni, Vittoria; Zatkova, Andrea; Millucci, Lia; Bernardini, Giulia; Bernini, Andrea; Marzocchi, Barbara; Bianchini, Monica; Zugarini, Andrea; Rossi, Alberto; Zazzeri, Matteo; Trezza, Alfonso; Frediani, Bruno; Ranganath, Lakshminarayan; Braconi, Daniela; Santucci, Annalisa | - | |
| A possible strategy to fight COVID-19: Interfering with spike glycoprotein trimerization | 1-gen-2020 | Bongini, Pietro; Trezza, Alfonso; Bianchini, Monica; Spiga, Ottavia; Niccolai, Neri | - |