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ORCIDAndrea Duggento
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2020 – today
- 2024
[j9]Tommaso Boccato
, Matteo Ferrante, Andrea Duggento, Nicola Toschi:
4Ward: A relayering strategy for efficient training of arbitrarily complex directed acyclic graphs. Neurocomputing 568: 127058 (2024)- [j8]Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi:
Beyond multilayer perceptrons: Investigating complex topologies in neural networks. Neural Networks 171: 215-228 (2024) - 2023
- [j7]Matteo Ferrante, Tommaso Boccato, Simeon E. Spasov, Andrea Duggento, Nicola Toschi:
VAESim: A probabilistic approach for self-supervised prototype discovery. Image Vis. Comput. 137: 104746 (2023) - [c25]Gaetano Valenza, Mariano Alcañiz, Antonio Luca Alfeo, Matteo Bianchi, Vladimir Carli, Vincenzo Catrambone, Mario G. C. A. Cimino, Gabriela Dudnik, Andrea Duggento, Matteo Ferrante, Claudio Gentili, Jaime Guixeres, Simone Rossi, Nicola Toschi, Virginie van Wassenhove:
The EXPERIENCE Project: Unveiling Extended-Personal Reality Through Automated VR Environments and Explainable Artificial Intelligence. MetroXRAINE 2023: 757-762 - [c24]Matteo Ferrante, Tommaso Boccato, Andrea Duggento, Simeon E. Spasov, Nicola Toschi:
Contrastive learning for unsupervised medical image clustering and reconstruction. NLDL 2023 - [c23]Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi:
Breaking the Structure of Multilayer Perceptrons with Complex Topologies. TAG-ML 2023: 289-301 - [i7]Giovanna Maria Dimitri, Simeon E. Spasov, Andrea Duggento, Luca Passamonti, Pietro Liò, Nicola Toschi:
Multimodal and multicontrast image fusion via deep generative models. CoRR abs/2303.15963 (2023) - [i6]Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi:
Beyond Multilayer Perceptrons: Investigating Complex Topologies in Neural Networks. CoRR abs/2303.17925 (2023) - 2022
- [j6]Andrea Duggento, Spase Petkoski, Tomislav Stankovski, Nicola Toschi:
Editorial: Synchronization, Swarming and Emergent Behaviors in Complex Networks and Neuroscience. Frontiers Comput. Neurosci. 16: 846189 (2022) - [j5]Giovanna Maria Dimitri, Simeon E. Spasov, Andrea Duggento, Luca Passamonti, Pietro Lió, Nicola Toschi:
Multimodal and multicontrast image fusion via deep generative models. Inf. Fusion 88: 146-160 (2022) - [c22]Matteo Ferrante, Andrea Duggento, Nicola Toschi:
Physically constrained neural networks for inferring physiological system models. EMBC 2022: 148-151 - [c21]Marianna Inglese, Andrea Duggento, Tommaso Boccato, Matteo Ferrante, Nicola Toschi:
Spatiotemporal learning of dynamic positron emission tomography data improves diagnostic accuracy in breast cancer. EMBC 2022: 186-189 - [i5]Andrea Duggento, Mario De Lorenzo, Stefano Bargione, Allegra Conti, Vincenzo Catrambone, Gaetano Valenza, Nicola Toschi:
An intertwined neural network model for EEG classification in brain-computer interfaces. CoRR abs/2208.08860 (2022) - [i4]Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi:
4Ward: a Relayering Strategy for Efficient Training of Arbitrarily Complex Directed Acyclic Graphs. CoRR abs/2209.02037 (2022) - [i3]Matteo Ferrante, Andrea Duggento, Nicola Toschi:
Physically constrained neural networks to solve the inverse problem for neuron models. CoRR abs/2209.11998 (2022) - [i2]Matteo Ferrante, Tommaso Boccato, Simeon E. Spasov, Andrea Duggento, Nicola Toschi:
Contrastive learning for unsupervised medical image clustering and reconstruction. CoRR abs/2209.12005 (2022) - [i1]Matteo Ferrante, Tommaso Boccato, Simeon E. Spasov, Andrea Duggento, Nicola Toschi:
VAESim: A probabilistic approach for self-supervised prototype discovery. CoRR abs/2209.12279 (2022) - 2021
- [c20]Andrea Duggento, Allegra Conti, Maria Guerrisi, Nicola Toschi:
Classification of real-world pathological phonocardiograms through multi-instance learning. EMBC 2021: 771-774 - 2020
- [c19]Giovanna Maria Dimitri, Simeon E. Spasov, Andrea Duggento, Luca Passamonti, Pietro Lio', Nicola Toschi:
Unsupervised stratification in neuroimaging through deep latent embeddings. EMBC 2020: 1568-1571 - [c18]Allegra Conti, Oluwaseun Akeju, Andrea Duggento, Shubham Chamadia, Riccardo Barbieri, Nicola Toschi:
Frequency dependent functional brain reorganization in anesthesia is specific to drug concentration. EMBC 2020: 2921-2924
2010 – 2019
- 2019
- [j4]Andrea Duggento, Gaetano Valenza, Luca Passamonti, Salvatore Nigro, Maria Giovanna Bianco, Maria Guerrisi, Riccardo Barbieri, Nicola Toschi:
A Parsimonious Granger Causality Formulation for Capturing Arbitrarily Long Multivariate Associations. Entropy 21(7): 629 (2019) - [j3]Allegra Conti, Andrea Duggento, Maria Guerrisi, Luca Passamonti, Iole Indovina, Nicola Toschi:
Variability and Reproducibility of Directed and Undirected Functional MRI Connectomes in the Human Brain. Entropy 21(7): 661 (2019) - [j2]Simeon E. Spasov, Luca Passamonti, Andrea Duggento, Pietro Liò, Nicola Toschi:
A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease. NeuroImage 189: 276-287 (2019) - [j1]Gaetano Valenza, Roberta Sclocco, Andrea Duggento, Luca Passamonti, Vitaly Napadow, Riccardo Barbieri, Nicola Toschi:
The central autonomic network at rest: Uncovering functional MRI correlates of time-varying autonomic outflow. NeuroImage 197: 383-390 (2019) - [c17]Andrea Duggento, Manuel Scimeca, Nicoletta Urbano, Elena Bonanno, Marco Aiello, Carlo Cavaliere, Giuseppe Leonardo Cascella, Davide Cascella, Giovanni Conte, Maria Guerrisi, Nicola Toschi:
A random initialization deep neural network for discriminating malignant breast cancer lesions. EMBC 2019: 912-915 - [c16]Gaetano Valenza, Andrea Duggento, Luca Passamonti, Nicola Toschi, Riccardo Barbieri:
Resting State Neural Correlates of Cardiac Sympathetic Dynamics in Healthy Subjects. EMBC 2019: 4330-4333 - [c15]Andrea Duggento, Maria Guerrisi, Nicola Toschi:
Recurrent neural networks for reconstructing complex directed brain connectivity. EMBC 2019: 6418-6421 - 2018
- [c14]Simeon E. Spasov, Luca Passamonti, Andrea Duggento, Pietro Liò, Nicola Toschi:
A Multi-modal Convolutional Neural Network Framework for the Prediction of Alzheimer's Disease. EMBC 2018: 1271-1274 - [c13]Andrea Duggento, Luca Passamonti, Maria Guerrisi, Nicola Toschi:
A realistic neuronal network and neurovascular coupling model for the study of multivariate directed connectivity in fMRI data. EMBC 2018: 5537-5540 - 2017
- [c12]R. Riccelli, Luca Passamonti, Andrea Duggento, Maria Guerrisi, Iole Indovina, Antonio Terracciano, Nicola Toschi:
Dynamical brain connectivity estimation using GARCH models: An application to personality neuroscience. EMBC 2017: 3305-3308 - [c11]R. Riccelli, Luca Passamonti, Andrea Duggento, Maria Guerrisi, Iole Indovina, Nicola Toschi:
Dynamic inter-network connectivity in the human brain. EMBC 2017: 3313-3316 - [c10]Gaetano Valenza, Andrea Duggento, Luca Passamonti, Stefano Diciotti, Carlo Tessa, Nicola Toschi, Riccardo Barbieri:
Resting-state brain correlates of cardiovascular complexity. EMBC 2017: 3317-3320 - [c9]Gaetano Valenza, Andrea Duggento, Luca Passamonti, Stefano Diciotti, Carlo Tessa, Riccardo Barbieri, Nicola Toschi:
Resting-state brain correlates of instantaneous autonomic outflow. EMBC 2017: 3325-3328 - [c8]Andrea Duggento, Luca Passamonti, Maria Guerrisi, Gaetano Valenza, Riccardo Barbieri, Nicola Toschi:
Estimating directed brain-brain and brain-heart connectivity through globally conditioned Granger causality approaches. EMBC 2017: 4367-4370 - [c7]Andrea Duggento, Luca Passamonti, Maria Guerrisi, Nicola Toschi:
Simultaneous estimation of the in-mean and in-variance causal connectomes of the human brain. EMBC 2017: 4371-4374 - 2016
- [c6]Nicola Toschi, Stefano Ciulli, Stefano Diciotti, Andrea Duggento, Maria Guerrisi, Andrea Magrini, Luisa Campagnolo, Antonio Pietroiusti:
Forecasting nanoparticle toxicity using nonlinear predictive regressor learning systems. EMBC 2016: 137-140 - [c5]Gaetano Valenza, Andrea Romigi, Luca Citi, Fabio Placidi, Francesca Izzi, Maria Albanese, Enzo Pasquale Scilingo, Maria Grazia Marciani, Andrea Duggento, Maria Guerrisi, Nicola Toschi, Riccardo Barbieri:
Predicting seizures in untreated temporal lobe epilepsy using point-process nonlinear models of heartbeat dynamics. EMBC 2016: 985-988 - [c4]Andrea Duggento, Gaetano Valenza, Luca Passamonti, Maria Guerrisi, Riccardo Barbieri, Nicola Toschi:
Reconstructing multivariate causal structure between functional brain networks through a Laguerre-Volterra based Granger causality approach. EMBC 2016: 5477-5480 - [c3]Andrea Duggento, Marco Giannelli, Carlo Tessa, Simona Lanzafame, Maria Guerrisi, Nicola Toschi:
Distribution-aware estimation of the minimum achievable uncertainty in diffusion-tensor imaging (DTI). EMBC 2016: 5541-5544 - 2015
- [c2]Andrea Duggento, Marta Bianciardi, Lawrence L. Wald, Luca Passamonti, Maria Guerrisi, Riccardo Barbieri, Nicola Toschi:
Globally conditioned causality in estimating directed brain-heart interactions through joint MRI and RR series analysis. EMBC 2015: 3795-3798 - 2011
- [c1]Nicola Toschi, Andrea Duggento, Antonio Canichella, Filadelfo Coniglione, Mario Dauri, Alessandro F. Sabato, Maria Guerrisi:
Intra- and inter-beat modeling of cardiovascular dynamics and control: Assessing haemodynamic stability and responsiveness. EMBC 2011: 8440-8443
Coauthor Index
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