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2020 – today
- 2024
[j39]Dunia Pineda Medina, Ileana Miranda Cabrera, Rolisbel Alfonso de la Cruz, Lizandra Guerra Arzuaga, Sandra Cuello Portal, Monica Bianchini
:
A Mobile App for Detecting Potato Crop Diseases. J. Imaging 10(2): 47 (2024)- [j38]Maria Sofia Bucarelli, Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli, Fabrizio Silvestri:
A topological description of loss surfaces based on Betti Numbers. Neural Networks 178: 106465 (2024) - [j37]Giuseppe Alessio D'Inverno, Monica Bianchini, Maria Lucia Sampoli, Franco Scarselli:
On the approximation capability of GNNs in node classification/regression tasks. Soft Comput. 28(13-14): 8527-8547 (2024) - [j36]Sara Marziali, Giacomo Nunziati, Alessia Lucia Prete, Neri Niccolai, Monica Bianchini:
SADIC v2: A modern implementation of the Simple Atom Depth Index Calculator. SoftwareX 27: 101803 (2024) - [c40]Sara Marziali, Giacomo Nunziati, Alessia Lucia Prete, Neri Niccolai, Sara Brunetti, Monica Bianchini:
A Discrete Geometry Method for Atom Depth Computation in Complex Molecular Systems. DGMM 2024: 443-455 - [c39]Caterina Graziani, Tamara Drucks, Fabian Jogl, Monica Bianchini, Franco Scarselli, Thomas Gärtner:
The Expressive Power of Path-Based Graph Neural Networks. ICML 2024 - [i14]Maria Sofia Bucarelli, Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli, Fabrizio Silvestri:
A topological description of loss surfaces based on Betti Numbers. CoRR abs/2401.03824 (2024) - [i13]Giuseppe Alessio D'Inverno, Monica Bianchini, Franco Scarselli:
VC dimension of Graph Neural Networks with Pfaffian activation functions. CoRR abs/2401.12362 (2024) - [i12]Kamyar Zeinalipour, Neda Jamshidi, Monica Bianchini, Marco Maggini, Marco Gori:
Design Proteins Using Large Language Models: Enhancements and Comparative Analyses. CoRR abs/2408.06396 (2024) - 2023
- [j35]Monica Bianchini, Giovanna Maria Dimitri:
Deep learning techniques for biomedical data processing. Intell. Decis. Technol. 17(1): 211-228 (2023) - [j34]Pietro Bongini, Franco Scarselli, Monica Bianchini, Giovanna Maria Dimitri, Niccolò Pancino, Pietro Lió:
Modular Multi-Source Prediction of Drug Side-Effects With DruGNN. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1211-1220 (2023) - [j33]Pietro Bongini, Elisa Messori, Niccolò Pancino, Monica Bianchini:
A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3681-3690 (2023) - [j32]Antonio Longa, Veronica Lachi, Gabriele Santin, Monica Bianchini, Bruno Lepri, Pietro Lio, Franco Scarselli, Andrea Passerini:
Graph Neural Networks for Temporal Graphs: State of the Art, Open Challenges, and Opportunities. Trans. Mach. Learn. Res. 2023 (2023) - [c38]Elia Landi, Filippo Spinelli, Matteo Intravaia, Marco Mugnaini, Ada Fort, Monica Bianchini, Barbara Toniella Corradini, Franco Scarselli, Marco Tanfoni:
A MobileNet Neural Network Model for Fault Diagnosis in Roller Bearings. I2MTC 2023: 1-6 - [c37]Alessia Lucia Prete, David Landi, Paolo Andreini, Monica Bianchini:
Deep Learning Techniques for Text Generation to Support Augmentative and Alternative Communication. MetroXRAINE 2023: 206-211 - [i11]Antonio Longa, Veronica Lachi, Gabriele Santin, Monica Bianchini, Bruno Lepri, Pietro Liò, Franco Scarselli, Andrea Passerini:
Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities. CoRR abs/2302.01018 (2023) - [i10]Veronica Lachi, Giovanna Maria Dimitri, Alessandro Di Stefano, Pietro Liò, Monica Bianchini, Chiara Mocenni:
Impact of the Covid 19 outbreaks on the italian twitter vaccination debat: a network based analysis. CoRR abs/2306.02838 (2023) - 2022
- [j31]Giorgia Giacomini, Caterina Graziani, Veronica Lachi, Pietro Bongini, Niccolò Pancino, Monica Bianchini, Davide Chiarugi, Angelo Valleriani, Paolo Andreini:
A Neural Network Approach for the Analysis of Reproducible Ribo-Seq Profiles. Algorithms 15(8): 274 (2022) - [j30]Luca Oneto, Nicolò Navarin, Battista Biggio, Federico Errica, Alessio Micheli, Franco Scarselli, Monica Bianchini, Luca Demetrio, Pietro Bongini, Armando Tacchella, Alessandro Sperduti:
Towards learning trustworthily, automatically, and with guarantees on graphs: An overview. Neurocomputing 493: 217-243 (2022) - [j29]Giorgio Ciano, Alberto Rossi, Monica Bianchini, Franco Scarselli:
On Inductive-Transductive Learning With Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 758-769 (2022) - [j28]Niccolò Pancino, Pietro Bongini, Franco Scarselli, Monica Bianchini:
GNNkeras: A Keras-based library for Graph Neural Networks and homogeneous and heterogeneous graph processing. SoftwareX 18: 101061 (2022) - [j27]Pietro Bongini, Neri Niccolai, Alfonso Trezza, Guido Mangiavacchi, Annalisa Santucci, Ottavia Spiga, Monica Bianchini, Simone Gardini:
Structural Bioinformatic Survey of Protein-Small Molecule Interfaces Delineates the Role of Glycine in Surface Pocket Formation. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1881-1886 (2022) - [j26]Tommaso Addabbo, Ada Fort, Marco Mugnaini, Valerio Vignoli, Matteo Intravaia, Marco Tani, Monica Bianchini, Franco Scarselli, Barbara Toniella Corradini:
Smart Gravimetric System for Enhanced Security of Accesses to Public Places Embedding a MobileNet Neural Network Classifier. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [i9]Pietro Bongini, Franco Scarselli, Monica Bianchini, Giovanna Maria Dimitri, Niccolò Pancino, Pietro Liò:
Modular multi-source prediction of drug side-effects with DruGNN. CoRR abs/2202.08147 (2022) - [i8]Pietro Bongini, Elisa Messori, Niccolò Pancino, Monica Bianchini:
A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs. CoRR abs/2211.16871 (2022) - 2021
- [j25]Pietro Bongini, Monica Bianchini, Franco Scarselli:
Molecular generative Graph Neural Networks for Drug Discovery. Neurocomputing 450: 242-252 (2021) - [j24]Pietro Bongini, Simone Gardini, Monica Bianchini, Ottavia Spiga, Neri Niccolai:
Structural bioinformatics survey on disease-inducing missense mutations. J. Bioinform. Comput. Biol. 19(3): 2150008:1-2150008:15 (2021) - [j23]Alberto Rossi, Matin Hosseinzadeh, Monica Bianchini, Franco Scarselli, Henkjan J. Huisman:
Multi-Modal Siamese Network for Diagnostically Similar Lesion Retrieval in Prostate MRI. IEEE Trans. Medical Imaging 40(3): 986-995 (2021) - [c36]Luca Oneto, Nicolò Navarin, Battista Biggio, Federico Errica, Alessio Micheli, Franco Scarselli, Monica Bianchini, Alessandro Sperduti:
Complex Data: Learning Trustworthily, Automatically, and with Guarantees. ESANN 2021 - [c35]Tommaso Addabbo, Ada Fort, Marco Mugnaini, Valerio Vignoli, Matteo Intravaia, Marco Tani, Monica Bianchini, Franco Scarselli, Barbara Toniella Corradini:
Smart gravimetric system based on Deep Learning for enhanced safety of accesses to public places. I2MTC 2021: 1-6 - [i7]Giorgio Ciano, Paolo Andreini, Tommaso Mazzierli, Monica Bianchini, Franco Scarselli:
A multi-stage GAN for multi-organ chest X-ray image generation and segmentation. CoRR abs/2106.05132 (2021) - [i6]Giuseppe Alessio D'Inverno, Monica Bianchini, Maria Lucia Sampoli, Franco Scarselli:
A unifying point of view on expressive power of GNNs. CoRR abs/2106.08992 (2021) - 2020
- [j22]Alberto Rossi, Giorgia Giacomini, Vittoria Cicaloni, Silvia Galderisi, Maria Serena Milella, Andrea Bernini, Lia Millucci, Ottavia Spiga, Monica Bianchini, Annalisa Santucci:
AKUImg: A database of cartilage images of Alkaptonuria patients. Comput. Biol. Medicine 122: 103863 (2020) - [j21]Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Franco Scarselli:
Image generation by GAN and style transfer for agar plate image segmentation. Comput. Methods Programs Biomed. 184: 105268 (2020) - [j20]Anna Visibelli, Pietro Bongini, Alberto Rossi, Neri Niccolai, Monica Bianchini:
A deep attention network for predicting amino acid signals in the formation of α-helices. J. Bioinform. Comput. Biol. 18(5): 2050028:1-2050028:17 (2020) - [j19]Simone Bonechi, Monica Bianchini, Franco Scarselli, Paolo Andreini:
Weak supervision for generating pixel-level annotations in scene text segmentation. Pattern Recognit. Lett. 138: 1-7 (2020) - [j18]Alberto Rossi, Gianni Barlacchi, Monica Bianchini, Bruno Lepri:
Modelling Taxi Drivers' Behaviour for the Next Destination Prediction. IEEE Trans. Intell. Transp. Syst. 21(7): 2980-2989 (2020) - [c34]Niccolò Pancino, Alberto Rossi, Giorgio Ciano, Giorgia Giacomini, Simone Bonechi, Paolo Andreini, Franco Scarselli, Monica Bianchini, Pietro Bongini:
Graph Neural Networks for the Prediction of Protein-Protein Interfaces. ESANN 2020: 127-132 - [c33]Martina Monaci, Niccolò Pancino, Paolo Andreini, Simone Bonechi, Pietro Bongini, Alberto Rossi, Giorgio Ciano, Giorgia Giacomini, Franco Scarselli, Monica Bianchini:
Deep Learning Techniques for Dragonfly Action Recognition. ICPRAM 2020: 562-569 - [c32]Alberto Rossi, Monica Bianchini, Franco Scarselli:
Robust Prostate Cancer Classification with Siamese Neural Networks. ISVC (2) 2020: 180-189 - [i5]Pietro Bongini, Monica Bianchini, Franco Scarselli:
Molecular graph generation with Graph Neural Networks. CoRR abs/2012.07397 (2020)
2010 – 2019
- 2019
- [j17]Pietro Bongini, Neri Niccolai, Monica Bianchini:
Glycine-induced formation and druggability score prediction of protein surface pockets. J. Bioinform. Comput. Biol. 17(5): 1950026:1-1950026:18 (2019) - [c31]Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli:
COCO_TS Dataset: Pixel-Level Annotations Based on Weak Supervision for Scene Text Segmentation. ICANN (3) 2019: 238-250 - [c30]Simone Bonechi, Monica Bianchini, Pietro Bongini, Giorgio Ciano, Giorgia Giacomini, Riccardo Rosai, Linda Tognetti, Alberto Rossi, Paolo Andreini:
Fusion of Visual and Anamnestic Data for the Classification of Skin Lesions with Deep Learning. ICIAP Workshops 2019: 211-219 - [c29]Alberto Rossi, Gioele Vannuccini, Paolo Andreini, Simone Bonechi, Giorgia Giacomini, Franco Scarselli, Monica Bianchini:
Analysis of brain NMR images for age estimation with deep learning. KES 2019: 981-989 - [p5]Antonino Crivello, Filippo Palumbo, Paolo Barsocchi, Davide La Rosa, Franco Scarselli, Monica Bianchini:
Understanding Human Sleep Behaviour by Machine Learning. Cognitive Infocommunications, Theory and Applications 2019: 227-252 - [i4]Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli:
COCO_TS Dataset: Pixel-level Annotations Based on Weak Supervision for Scene Text Segmentation. CoRR abs/1904.00818 (2019) - [i3]Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Franco Scarselli, Andrea Sodi:
A Two Stage GAN for High Resolution Retinal Image Generation and Segmentation. CoRR abs/1907.12296 (2019) - [i2]Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli:
Weak Supervision for Generating Pixel-Level Annotations in Scene Text Segmentation. CoRR abs/1911.09026 (2019) - 2018
- [j16]Ottavia Spiga, Vittoria Cicaloni, Andrea Zatkova, Lia Millucci, Giulia Bernardini, Andrea Bernini, Barbara Marzocchi, Monica Bianchini, Andrea Zugarini, Alberto Rossi, Matteo Zazzeri, Alfonso Trezza, Bruno Frediani, Lakshminarayan Ranganath, Daniela Braconi, Annalisa Santucci:
A new integrated and interactive tool applicable to inborn errors of metabolism: Application to alkaptonuria. Comput. Biol. Medicine 103: 1-7 (2018) - [c28]Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli:
Generating Bounding Box Supervision for Semantic Segmentation with Deep Learning. ANNPR 2018: 190-200 - [c27]Alberto Rossi, Matteo Tiezzi, Giovanna Maria Dimitri, Monica Bianchini, Marco Maggini, Franco Scarselli:
Inductive-Transductive Learning with Graph Neural Networks. ANNPR 2018: 201-212 - [c26]Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Franco Scarselli:
A Deep Learning Approach to Bacterial Colony Segmentation. ICANN (3) 2018: 522-533 - [i1]Alberto Rossi, Gianni Barlacchi, Monica Bianchini, Bruno Lepri:
Modeling Taxi Drivers' Behaviour for the Next Destination Prediction. CoRR abs/1807.08173 (2018) - 2016
- [j15]Paolo Andreini, Simone Bonechi, Monica Bianchini, Andrea Garzelli, Alessandro Mecocci:
Automatic image classification for the urinoculture screening. Comput. Biol. Medicine 70: 12-22 (2016) - [c25]Monica Bianchini, Anas Belahcen, Franco Scarselli:
A Comparative Study of Inductive and Transductive Learning with Feedforward Neural Networks. AI*IA 2016: 283-293 - [c24]Paolo Barsocchi, Monica Bianchini, Antonino Crivello, Davide La Rosa, Filippo Palumbo, Franco Scarselli:
An unobtrusive sleep monitoring system for the human sleep behaviour understanding. CogInfoCom 2016: 91-96 - [c23]Jacopo Acquarelli, Monica Bianchini, Elena Marchiori:
Discovering Potential Clinical Profiles of Multiple Sclerosis from Clinical and Pathological Free Text Data with Constrained Non-negative Matrix Factorization. EvoApplications (1) 2016: 169-183 - [c22]Paolo Andreini, Simone Bonechi, Monica Bianchini, Andrea Garzelli, Alessandro Mecocci:
ABLE: An Automated Bacterial Load Estimator for the Urinoculture Screening. ICPRAM 2016: 573-580 - [c21]Paolo Andreini, Simone Bonechi, Monica Bianchini, Andrea Baghini, Giovanni Bianchi, Francesco Guerri, Angelo Galano, Alessandro Mecocci, Guendalina Vaggelli:
Extraction of High Level Visual Features for the Automatic Recognition of UTIs. WILF 2016: 249-259 - 2015
- [c20]Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Vincenzo Di Massa:
Automatic Image Analysis and Classification for Urinary Bacteria Infection Screening. ICIAP (1) 2015: 635-646 - [c19]Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Vincenzo Di Massa:
Automatic Image Classification for the Urinoculture Screening. KES-IDT 2015: 31-42 - [p4]Anas Belahcen, Monica Bianchini, Franco Scarselli:
Web Spam Detection Using Transductive(Inductive Graph Neural Networks. Advances in Neural Networks 2015: 83-91 - 2014
- [j14]Monica Bianchini, Franco Scarselli:
On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures. IEEE Trans. Neural Networks Learn. Syst. 25(8): 1553-1565 (2014) - [c18]Monica Bianchini, Franco Scarselli:
On the complexity of shallow and deep neural network classifiers. ESANN 2014 - 2013
- [p3]Monica Bianchini, Marco Maggini:
Supervised Neural Network Models for Processing Graphs. Handbook on Neural Information Processing 2013: 67-96 - [e2]Monica Bianchini, Marco Maggini, Lakhmi C. Jain:
Handbook on Neural Information Processing. Intelligent Systems Reference Library 49, Springer 2013, ISBN 978-3-642-36656-7 [contents] - 2010
- [c17]Niccoló Bandinelli, Monica Bianchini, Franco Scarselli:
Learning long-term dependencies using layered graph neural networks. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j13]Monica Bianchini, Franco Scarselli:
Pattern recognition in graphical domains. Neurocomputing 73(1-3): 177-178 (2009) - [p2]Monica Bianchini, Franco Scarselli:
Artificial Neural Networks for Processing Graphs with Application to Image Understanding: A Survey. Multimedia Techniques for Device and Ambient Intelligence 2009: 179-199 - [p1]Monica Bianchini, Marco Maggini, Franco Scarselli, Lakhmi C. Jain:
Advances in Neural Information Processing Paradigms. Innovations in Neural Information Paradigms and Applications 2009: 1-7 - [e1]Monica Bianchini, Marco Maggini, Franco Scarselli, Lakhmi C. Jain:
Innovations in Neural Information Paradigms and Applications. Studies in Computational Intelligence 247, Springer 2009, ISBN 978-3-642-04002-3 [contents] - 2008
- [c16]Monica Bianchini, Ernesto Di Iorio, Marco Maggini, Augusto Pucci:
Cyclostationary Neural Networks for Air Pollutant Concentration Prediction. ANNPR 2008: 101-112 - [c15]Stefano Melacci, Lorenzo Sarti, Marco Maggini, Monica Bianchini:
A Neural Network Approach to Similarity Learning. ANNPR 2008: 133-136 - [c14]Leonardo Rigutini, Tiziano Papini, Marco Maggini, Monica Bianchini:
A Neural Network Approach for Learning Object Ranking. ICANN (2) 2008: 899-908 - 2006
- [j12]Monica Bianchini, Marco Gori, Lorenzo Sarti, Franco Scarselli:
Recursive processing of cyclic graphs. IEEE Trans. Neural Networks 17(1): 10-18 (2006) - [c13]Monica Bianchini, Lorenzo Sarti:
An Eye Detection System Based on Neural Autoassociators. ANNPR 2006: 244-252 - [c12]Monica Bianchini, Ernesto Di Iorio, Marco Maggini, Chiara Mocenni, Augusto Pucci:
A Cyclostationary Neural Network model for the prediction of the NO2 concentration. ESANN 2006: 67-72 - [c11]Monica Bianchini, Marco Maggini, Lorenzo Sarti:
Object Localization Using Input/Output Recursive Neural Networks. ICPR (3) 2006: 95-98 - [c10]Monica Bianchini, Marco Maggini, Lorenzo Sarti:
Object Recognition Using Multiresolution Trees. SSPR/SPR 2006: 331-339 - 2005
- [j11]Monica Bianchini, Marco Maggini, Lorenzo Sarti, Franco Scarselli:
Recursive neural networks for processing graphs with labelled edges: theory and applications. Neural Networks 18(8): 1040-1050 (2005) - [j10]Monica Bianchini, Marco Maggini, Lorenzo Sarti, Franco Scarselli:
Recursive neural networks learn to localize faces. Pattern Recognit. Lett. 26(12): 1885-1895 (2005) - [j9]Monica Bianchini, Marco Gori, Franco Scarselli:
Inside PageRank. ACM Trans. Internet Techn. 5(1): 92-128 (2005) - [c9]Monica Bianchini, Marco Gori, Lorenzo Sarti, Franco Scarselli:
Recursive Neural Networks and Graphs: Dealing with Cycles. WIRN/NAIS 2005: 38-43 - 2004
- [c8]Monica Bianchini, Marco Maggini, Lorenzo Sarti, Franco Scarselli:
Recursive networks for processing graphs with labelled edges. ESANN 2004: 325-330 - 2003
- [c7]Monica Bianchini, Marco Gori, Lorenzo Sarti, Franco Scarselli:
BackPropagation through Cyclic Structures. AI*IA 2003: 118-129 - [c6]Monica Bianchini, Marco Gori, Franco Scarselli:
PageRank and Web Communities. Web Intelligence 2003: 365-371 - [c5]Monica Bianchini, Marco Gori, Paolo Mazzoni, Lorenzo Sarti, Franco Scarselli:
Face Localization with Recursive Neural Networks. WIRN 2003: 99-105 - 2001
- [j8]Monica Bianchini, Stefano Fanelli, Marco Gori:
Optimal Algorithms for Well-Conditioned Nonlinear Systems of Equations. IEEE Trans. Computers 50(7): 689-698 (2001) - [j7]Monica Bianchini, Marco Gori:
Theoretical properties of recursive neural networks with linear neurons. IEEE Trans. Neural Networks 12(5): 953-967 (2001) - [j6]Monica Bianchini, Marco Gori, Franco Scarselli:
Processing directed acyclic graphs with recursive neural networks. IEEE Trans. Neural Networks 12(6): 1464-1470 (2001) - [c4]Monica Bianchini, Marco Gori, Franco Scarselli:
Recursive Processing of Directed Acyclic Graphs. WIRN 2001: 96-101 - 2000
- [c3]Monica Bianchini, Marco Gori, Franco Scarselli:
Computational capabilities of linear recursive networks. KES 2000: 462-465
1990 – 1999
- 1998
- [c2]Monica Bianchini, Stefano Fanelli, Marco Gori:
An Application of ELISA to Perfect Hashing with Deterministic Ordering. ICONIP 1998: 1126-1129 - 1997
- [j5]Monica Bianchini, Stefano Fanelli, Marco Gori, Marco Maggini:
Terminal attractor algorithms: A critical analysis. Neurocomputing 15(1): 3-13 (1997) - [c1]Monica Bianchini, Stefano Fanelli, Marco Gori, Marco Protasi:
Solving Linear Systems by a Neural Network Canonical Form of Efficient Gradient Descent. ICONIP (1) 1997: 531-534 - 1996
- [j4]Monica Bianchini, Marco Gori:
Optimal learning in artificial neural networks: A review of theoretical results. Neurocomputing 13(2-4): 313-346 (1996) - 1995
- [j3]Monica Bianchini, Paolo Frasconi, Marco Gori:
Learning in multilayered networks used as autoassociators. IEEE Trans. Neural Networks 6(2): 512-515 (1995) - [j2]Monica Bianchini, Paolo Frasconi, Marco Gori:
Learning without local minima in radial basis function networks. IEEE Trans. Neural Networks 6(3): 749-756 (1995) - 1994
- [j1]Monica Bianchini, Marco Gori, Marco Maggini:
On the problem of local minima in recurrent neural networks. IEEE Trans. Neural Networks 5(2): 167-177 (1994)
Coauthor Index
[j38] [j37] [c39] [i14] [i13] [j34] [j32] [c38] [i11] [j30] [j29] [j28] [j26] [i9] [j25] [j23] [c36] [c35] [i7] [i6] [j21] [j19] [c34] [c33] [c32] [i5] [c31] [c29] [p5] [i4] [i3] [i2] [c28] [c27] [c26] [c25] [c24] [p4] [j14] [c18] [c17] [j13] [p2] [p1] [e1] [j12] [j11] [j10] [j9] [c9] [c8] [c7] [c6] [c5] [j6] [c4] [c3]
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