Monica Bianchini
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
14
Active years
1997–2026
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | FrameNet-Cultures: A Benchmark for Evaluating LLMs via Cross-Cultural Frame Semantics. | Neda Jamshidi, Anders Sgaard, Monica Bianchini |
| 2025 | COLING | PersianMCQ-Instruct: A Comprehensive Resource for Generating Multiple-Choice Questions in Persian. | Kamyar Zeinalipour, Neda Jamshidi, Fahimeh Akbari, Marco Maggini, Monica Bianchini, Marco Gori |
| 2025 | IJCNLP | FarSense: A Comprehensive Commonsense Benchmark and Evaluation Framework for the Farsi Language. | Kamyar Zeinalipour, Neda Jamshidi, Seyedehbahareh Hejazi, Marco Maggini, Monica Bianchini, Simone Paoletti, Marco Gori |
| 2024 | ICML | The Expressive Power of Path-Based Graph Neural Networks. | Caterina Graziani, Tamara Drucks, Fabian Jogl, Monica Bianchini, Franco Scarselli, Thomas Grtner |
| 2024 | KES | NeuraGED: A GNN estimation for Graph-Edit Distance. | Sara Bacconi, Filippo Costanti, Monica Bianchini, Niccol Pancino, Pietro Bongini |
| 2024 | KES | Facial Segmentation in Deepfake Classification: a Transfer Learning Approach. | Marco Tanfoni, Elia Giuseppe Ceroni, Niccol Pancino, Monica Bianchini, Marco Maggini |
| 2021 | ESANN | Complex Data: Learning Trustworthily, Automatically, and with Guarantees. | Luca Oneto, Nicol Navarin, Battista Biggio, Federico Errica, Alessio Micheli, Franco Scarselli, Monica Bianchini, Alessandro Sperduti |
| 2020 | ESANN | Graph Neural Networks for the Prediction of Protein-Protein Interfaces. | Niccol Pancino, Alberto Rossi, Giorgio Ciano, Giorgia Giacomini, Simone Bonechi, Paolo Andreini, Franco Scarselli, Monica Bianchini, Pietro Bongini |
| 2020 | ICPRAM | Deep Learning Techniques for Dragonfly Action Recognition. | Martina Monaci, Niccol Pancino, Paolo Andreini, Simone Bonechi, Pietro Bongini, Alberto Rossi, Giorgio Ciano, Giorgia Giacomini, Franco Scarselli, Monica Bianchini |
| 2020 | ISVC | Robust Prostate Cancer Classification with Siamese Neural Networks. | Alberto Rossi, Monica Bianchini, Franco Scarselli |
| 2019 | ICANN | COCO_TS Dataset: Pixel-Level Annotations Based on Weak Supervision for Scene Text Segmentation. | Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli |
| 2019 | ICIAP | Fusion of Visual and Anamnestic Data for the Classification of Skin Lesions with Deep Learning. | Simone Bonechi, Monica Bianchini, Pietro Bongini, Giorgio Ciano, Giorgia Giacomini, Riccardo Rosai, Linda Tognetti, Alberto Rossi, Paolo Andreini |
| 2019 | KES | Analysis of brain NMR images for age estimation with deep learning. | Alberto Rossi, Gioele Vannuccini, Paolo Andreini, Simone Bonechi, Giorgia Giacomini, Franco Scarselli, Monica Bianchini |
| 2018 | ICANN | A Deep Learning Approach to Bacterial Colony Segmentation. | Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Franco Scarselli |
| 2016 | ICPRAM | ABLE: An Automated Bacterial Load Estimator for the Urinoculture Screening. | Paolo Andreini, Simone Bonechi, Monica Bianchini, Andrea Garzelli, Alessandro Mecocci |
| 2015 | ICIAP | Automatic Image Analysis and Classification for Urinary Bacteria Infection Screening. | Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Vincenzo Di Massa |
| 2014 | ESANN | On the complexity of shallow and deep neural network classifiers. | Monica Bianchini, Franco Scarselli |
| 2010 | IJCNN | Learning long-term dependencies using layered graph neural networks. | Niccol Bandinelli, Monica Bianchini, Franco Scarselli |
| 2008 | ICANN | A Neural Network Approach for Learning Object Ranking. | Leonardo Rigutini, Tiziano Papini, Marco Maggini, Monica Bianchini |
| 2006 | ESANN | A Cyclostationary Neural Network model for the prediction of the NO2 concentration. | Monica Bianchini, Ernesto Di Iorio, Marco Maggini, Chiara Mocenni, Augusto Pucci |
| 2006 | ICPR | Object Localization Using Input/Output Recursive Neural Networks. | Monica Bianchini, Marco Maggini, Lorenzo Sarti |
| 2006 | SSPR | Object Recognition Using Multiresolution Trees. | Monica Bianchini, Marco Maggini, Lorenzo Sarti |
| 2004 | ESANN | Recursive networks for processing graphs with labelled edges. | Monica Bianchini, Marco Maggini, Lorenzo Sarti, Franco Scarselli |
| 2004 | IJCNN | Recursive neural networks for object detection. | Monica Bianchini, Marco Maggini, Lorenzo Sarti, Franco Scarselli |
| 2000 | KES | Computational capabilities of linear recursive networks. | Monica Bianchini, Marco Gori, Franco Scarselli |
| 1998 | ICONIP | An Application of ELISA to Perfect Hashing with Deterministic Ordering. | Monica Bianchini, Stefano Fanelli, Marco Gori |
| 1997 | ICONIP | Solving Linear Systems by a Neural Network Canonical Form of Efficient Gradient Descent. | Monica Bianchini, Stefano Fanelli, Marco Gori, Marco Protasi |