Andrea Duggento

41 papers Journal 16Unranked 25

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	4Ward: A relayering strategy for efficient training of arbitrarily complex directed acyclic graphs. Neurocomputing Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi
2024	J	`jnl`	Beyond multilayer perceptrons: Investigating complex topologies in neural networks. Neural Networks Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi
2023	J	`jnl`	Beyond Multilayer Perceptrons: Investigating Complex Topologies in Neural Networks. CoRR Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi
2023	—	`conf`	Breaking the Structure of Multilayer Perceptrons with Complex Topologies. TAG-ML Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi
2023	—	`conf`	Contrastive learning for unsupervised medical image clustering and reconstruction. NLDL Matteo Ferrante, Tommaso Boccato, Andrea Duggento, Simeon E. Spasov, Nicola Toschi
2023	J	`jnl`	Multimodal and multicontrast image fusion via deep generative models. CoRR Giovanna Maria Dimitri, Simeon E. Spasov, Andrea Duggento, Luca Passamonti, Pietro Liò, Nicola Toschi
2023	—	`conf`	The EXPERIENCE Project: Unveiling Extended-Personal Reality Through Automated VR Environments and Explainable Artificial Intelligence. MetroXRAINE 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
2023	J	`jnl`	VAESim: A probabilistic approach for self-supervised prototype discovery. Image Vis. Comput. Matteo Ferrante, Tommaso Boccato, Simeon E. Spasov, Andrea Duggento, Nicola Toschi
2022	J	`jnl`	4Ward: a Relayering Strategy for Efficient Training of Arbitrarily Complex Directed Acyclic Graphs. CoRR Tommaso Boccato, Matteo Ferrante, Andrea Duggento, Nicola Toschi
2022	J	`jnl`	An intertwined neural network model for EEG classification in brain-computer interfaces. CoRR Andrea Duggento, Mario De Lorenzo, Stefano Bargione, Allegra Conti, Vincenzo Catrambone, Gaetano Valenza, Nicola Toschi
2022	J	`jnl`	Contrastive learning for unsupervised medical image clustering and reconstruction. CoRR Matteo Ferrante, Tommaso Boccato, Simeon E. Spasov, Andrea Duggento, Nicola Toschi
2022	J	`jnl`	Editorial: Synchronization, Swarming and Emergent Behaviors in Complex Networks and Neuroscience. Frontiers Comput. Neurosci. Andrea Duggento, Spase Petkoski, Tomislav Stankovski, Nicola Toschi
2022	J	`jnl`	Multimodal and multicontrast image fusion via deep generative models. Inf. Fusion Giovanna Maria Dimitri, Simeon E. Spasov, Andrea Duggento, Luca Passamonti, Pietro Lió, Nicola Toschi
2022	—	`conf`	Physically constrained neural networks for inferring physiological system models. EMBC Matteo Ferrante, Andrea Duggento, Nicola Toschi
2022	J	`jnl`	Physically constrained neural networks to solve the inverse problem for neuron models. CoRR Matteo Ferrante, Andrea Duggento, Nicola Toschi
2022	—	`conf`	Spatiotemporal learning of dynamic positron emission tomography data improves diagnostic accuracy in breast cancer. EMBC Marianna Inglese, Andrea Duggento, Tommaso Boccato, Matteo Ferrante, Nicola Toschi
2022	J	`jnl`	VAESim: A probabilistic approach for self-supervised prototype discovery. CoRR Matteo Ferrante, Tommaso Boccato, Simeon E. Spasov, Andrea Duggento, Nicola Toschi
2021	—	`conf`	Classification of real-world pathological phonocardiograms through multi-instance learning. EMBC Andrea Duggento, Allegra Conti, Maria Guerrisi, Nicola Toschi
2020	—	`conf`	Frequency dependent functional brain reorganization in anesthesia is specific to drug concentration. EMBC Allegra Conti, Oluwaseun Akeju, Andrea Duggento, Shubham Chamadia, Riccardo Barbieri, Nicola Toschi
2020	—	`conf`	Unsupervised stratification in neuroimaging through deep latent embeddings. EMBC Giovanna Maria Dimitri, Simeon E. Spasov, Andrea Duggento, Luca Passamonti, Pietro Lio', Nicola Toschi
2019	J	`jnl`	A Parsimonious Granger Causality Formulation for Capturing Arbitrarily Long Multivariate Associations. Entropy Andrea Duggento, Gaetano Valenza, Luca Passamonti, Salvatore Nigro, Maria Giovanna Bianco, Maria Guerrisi, Riccardo Barbieri, Nicola Toschi
2019	J	`jnl`	A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease. NeuroImage Simeon E. Spasov, Luca Passamonti, Andrea Duggento, Pietro Liò, Nicola Toschi
2019	—	`conf`	A random initialization deep neural network for discriminating malignant breast cancer lesions. EMBC Andrea Duggento, Manuel Scimeca, Nicoletta Urbano, Elena Bonanno, Marco Aiello, Carlo Cavaliere, Giuseppe Leonardo Cascella, Davide Cascella, Giovanni Conte, Maria Guerrisi, Nicola Toschi
2019	—	`conf`	Recurrent neural networks for reconstructing complex directed brain connectivity. EMBC Andrea Duggento, Maria Guerrisi, Nicola Toschi
2019	—	`conf`	Resting State Neural Correlates of Cardiac Sympathetic Dynamics in Healthy Subjects. EMBC Gaetano Valenza, Andrea Duggento, Luca Passamonti, Nicola Toschi, Riccardo Barbieri
2019	J	`jnl`	The central autonomic network at rest: Uncovering functional MRI correlates of time-varying autonomic outflow. NeuroImage Gaetano Valenza, Roberta Sclocco, Andrea Duggento, Luca Passamonti, Vitaly Napadow, Riccardo Barbieri, Nicola Toschi
2019	J	`jnl`	Variability and Reproducibility of Directed and Undirected Functional MRI Connectomes in the Human Brain. Entropy Allegra Conti, Andrea Duggento, Maria Guerrisi, Luca Passamonti, Iole Indovina, Nicola Toschi
2018	—	`conf`	A Multi-modal Convolutional Neural Network Framework for the Prediction of Alzheimer's Disease. EMBC Simeon E. Spasov, Luca Passamonti, Andrea Duggento, Pietro Liò, Nicola Toschi
2018	—	`conf`	A realistic neuronal network and neurovascular coupling model for the study of multivariate directed connectivity in fMRI data. EMBC Andrea Duggento, Luca Passamonti, Maria Guerrisi, Nicola Toschi
2017	—	`conf`	Dynamic inter-network connectivity in the human brain. EMBC R. Riccelli, Luca Passamonti, Andrea Duggento, Maria Guerrisi, Iole Indovina, Nicola Toschi
2017	—	`conf`	Dynamical brain connectivity estimation using GARCH models: An application to personality neuroscience. EMBC R. Riccelli, Luca Passamonti, Andrea Duggento, Maria Guerrisi, Iole Indovina, Antonio Terracciano, Nicola Toschi
2017	—	`conf`	Estimating directed brain-brain and brain-heart connectivity through globally conditioned Granger causality approaches. EMBC Andrea Duggento, Luca Passamonti, Maria Guerrisi, Gaetano Valenza, Riccardo Barbieri, Nicola Toschi
2017	—	`conf`	Resting-state brain correlates of cardiovascular complexity. EMBC Gaetano Valenza, Andrea Duggento, Luca Passamonti, Stefano Diciotti, Carlo Tessa, Nicola Toschi, Riccardo Barbieri
2017	—	`conf`	Resting-state brain correlates of instantaneous autonomic outflow. EMBC Gaetano Valenza, Andrea Duggento, Luca Passamonti, Stefano Diciotti, Carlo Tessa, Riccardo Barbieri, Nicola Toschi
2017	—	`conf`	Simultaneous estimation of the in-mean and in-variance causal connectomes of the human brain. EMBC Andrea Duggento, Luca Passamonti, Maria Guerrisi, Nicola Toschi
2016	—	`conf`	Distribution-aware estimation of the minimum achievable uncertainty in diffusion-tensor imaging (DTI). EMBC Andrea Duggento, Marco Giannelli, Carlo Tessa, Simona Lanzafame, Maria Guerrisi, Nicola Toschi
2016	—	`conf`	Forecasting nanoparticle toxicity using nonlinear predictive regressor learning systems. EMBC Nicola Toschi, Stefano Ciulli, Stefano Diciotti, Andrea Duggento, Maria Guerrisi, Andrea Magrini, Luisa Campagnolo, Antonio Pietroiusti
2016	—	`conf`	Predicting seizures in untreated temporal lobe epilepsy using point-process nonlinear models of heartbeat dynamics. EMBC 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
2016	—	`conf`	Reconstructing multivariate causal structure between functional brain networks through a Laguerre-Volterra based Granger causality approach. EMBC Andrea Duggento, Gaetano Valenza, Luca Passamonti, Maria Guerrisi, Riccardo Barbieri, Nicola Toschi
2015	—	`conf`	Globally conditioned causality in estimating directed brain-heart interactions through joint MRI and RR series analysis. EMBC Andrea Duggento, Marta Bianciardi, Lawrence L. Wald, Luca Passamonti, Maria Guerrisi, Riccardo Barbieri, Nicola Toschi
2011	—	`conf`	Intra- and inter-beat modeling of cardiovascular dynamics and control: Assessing haemodynamic stability and responsiveness. EMBC Nicola Toschi, Andrea Duggento, Antonio Canichella, Filadelfo Coniglione, Mario Dauri, Alessandro F. Sabato, Maria Guerrisi