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Titolo Data di pubblicazione Autore(i) File Abstract
LSTM-based Siamese Networks for Fault Detection in Meteorological Time Series Data 1-gen-2024 Costanti, Filippo; Cappelli, Irene; Fort, Ada; Ceroni, Elia Giuseppe; Bianchini, Monica -
On the approximation capability of GNNs in node classification/regression tasks 1-gen-2024 D’Inverno, Giuseppe Alessio; Bianchini, Monica; Sampoli, Maria Lucia; Scarselli, Franco -
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, Niccolo; Bianchini, Monica -
Point-Wise Ribosome Translation Speed Prediction with Recurrent Neural Networks 1-gen-2024 Bongini, Pietro; Pancino, Niccolo; Lachi, Veronica; Graziani, Caterina; Giacomini, Giorgia; Andreini, Paolo; Bianchini, Monica -
Generated or Not Generated (GNG): The Importance of Background in the Detection of Fake Images 1-gen-2024 Tanfoni, Marco; Ceroni, Elia Giuseppe; Marziali, Sara; Pancino, Niccolò; Maggini, Marco; 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 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 topological description of loss surfaces based on Betti Numbers 1-gen-2024 Bucarelli, Maria Sofia; D’Inverno, Giuseppe Alessio; Bianchini, Monica; Scarselli, Franco; Silvestri, Fabrizio -
Composite Graph Neural Networks for Molecular Property Prediction 1-gen-2024 Bongini, Pietro; Pancino, Niccolo; Bendjeddou, Asma; Scarselli, Franco; Maggini, Marco; Bianchini, Monica -
SADIC v2: A modern implementation of the Simple Atom Depth Index Calculator 1-gen-2024 Marziali, Sara; Nunziati, Giacomo; Prete, Alessia Lucia; Niccolai, Neri; Bianchini, Monica -
Protein–protein interfaces: A Graph Neural Network approach 1-gen-2024 Pancino, Niccolo; Gallegati, Caterina; Romagnoli, Fiamma; Bongini, Pietro; Bianchini, Monica -
No PAIN no Gain: More Expressive GNNs with Paths 1-gen-2023 Graziani, Caterina; Drucks, Tamara; Bianchini, Monica; Scarselli, Franco; Gärtner, Thomas -
Special Issue: Advances in Knowledge-Feature Extraction and Representation in Data-Science Applications 1-gen-2023 Bianchini, Monica; Falini, Antonella -
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 -
Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities 1-gen-2023 Longa, A.; Lachi, V.; Santin, G.; Bianchini, M.; Lepri, B.; Liò, P.; Scarselli, F.; Passerini, A. -
Deep Learning Techniques for Text Generation to Support Augmentative and Alternative Communication 1-gen-2023 Prete, Alessia Lucia; Landi, David; Andreini, Paolo; Bianchini, Monica -
Deep learning techniques for biomedical data processing 1-gen-2023 Bianchini, Monica; Dimitri, Giovanna Maria -
BioGNN: How Graph Neural Networks Can Solve Biological Problems 1-gen-2023 Bongini, P.; Pancino, N.; Scarselli, F.; Bianchini, M. -
Multi-stage Synthetic Image Generation for the Semantic Segmentation of Medical Images 1-gen-2023 Andreini, Paolo; Bonechi, Simone; Ciano, Giorgio; Graziani, Caterina; Lachi, Veronica; Nikoloulopoulou, Natalia; Bianchini, Monica; Scarselli, Franco -
From Pixels to Diagnosis: AI-Driven Skin Lesion Recognition 1-gen-2023 Bianchini, M.; Andreini, P.; Bonechi, S. -
Mostrati risultati da 21 a 40 di 178
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