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2020 – today
- 2024
[c16]Giovanni Donghi, Luca Pasa, Alberto Testolin, Marco Zorzi, Alessandro Sperduti, Nicolò Navarin:
Relative Local Signal Strength: The Impact of Normalization on the Analysis of Neuroimaging Data with Deep Learning. ICANN (8) 2024: 373-383- [i7]Alberto Testolin, Kuinan Hou, Marco Zorzi:
Large-scale Generative AI Models Lack Visual Number Sense. CoRR abs/2402.03328 (2024) - [i6]Kuinan Hou, Marco Zorzi, Alberto Testolin:
Estimating the distribution of numerosity and non-numerical visual magnitudes in natural scenes using computer vision. CoRR abs/2409.11028 (2024) - 2023
- [j27]Matteo Zambra, Alberto Testolin
, Marco Zorzi:
A Developmental Approach for Training Deep Belief Networks. Cogn. Comput. 15(1): 103-120 (2023) - [c15]Lorenzo Tausani, Alberto Testolin, Marco Zorzi:
Investigating the Generative Dynamics of Energy-Based Neural Networks. BI 2023: 96-108 - [i5]Lorenzo Tausani, Alberto Testolin, Marco Zorzi:
Investigating the generative dynamics of energy-based neural networks. CoRR abs/2305.06745 (2023) - 2022
- [c14]Delfina Irarte, Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi:
Prediction of Neuropsychological Scores from Functional Connectivity Matrices Using Deep Autoencoders. BI 2022: 140-151 - [i4]Matteo Zambra, Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi:
A developmental approach for training deep belief networks. CoRR abs/2207.05473 (2022) - 2021
- [j26]Federico Calesella, Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi:
A comparison of feature extraction methods for prediction of neuropsychological scores from functional connectivity data of stroke patients. Brain Informatics 8(1): 8 (2021) - [j25]Tommaso Boccato, Alberto Testolin, Marco Zorzi:
Learning Numerosity Representations with Transformers: Number Generation Tasks and Out-of-Distribution Generalization. Entropy 23(7): 857 (2021) - [j24]Federica Nenna, Marco Zorzi, Luciano Gamberini:
Augmented Reality as a research tool: investigating cognitive-motor dual-task during outdoor navigation. Int. J. Hum. Comput. Stud. 152: 102644 (2021) - [c13]Marco Zorzi, Michele De Filippo De Grazia, Elvio Blini, Alberto Testolin:
Assessment of Machine Learning Pipelines for Prediction of Behavioral Deficits from Brain Disconnectomes. BI 2021: 211-222 - 2020
- [j23]Giulia Prando, Mattia Zorzi, Alessandra Bertoldo, Maurizio Corbetta, Marco Zorzi, Alessandro Chiuso:
Sparse DCM for whole-brain effective connectivity from resting-state fMRI data. NeuroImage 208: 116367 (2020) - [c12]Federico Calesella, Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi:
A Systematic Assessment of Feature Extraction Methods for Robust Prediction of Neuropsychological Scores from Functional Connectivity Data. BI 2020: 29-40 - [c11]Alberto Cenzato, Alberto Testolin, Marco Zorzi:
Long-Term Prediction of Physical Interactions: A Challenge for Deep Generative Models. LOD (1) 2020: 83-94
2010 – 2019
- 2019
- [j22]Sucheta Chauhan, Lovekesh Vig, Michele De Filippo De Grazia, Maurizio Corbetta, Shandar Ahmad, Marco Zorzi:
A Comparison of Shallow and Deep Learning Methods for Predicting Cognitive Performance of Stroke Patients From MRI Lesion Images. Frontiers Neuroinformatics 13: 53 (2019) - [j21]Samir Suweis, Chengyi Tu, Rodrigo P. Rocha, Sandro Zampieri, Marco Zorzi, Maurizio Corbetta:
Brain controllability: Not a slam dunk yet. NeuroImage 200: 552-555 (2019) - [c10]Andrea Zanetti, Alberto Testolin, Marco Zorzi, Pawel Wawrzynski:
Numerosity Representation in InfoGAN: An Empirical Study. IWANN (2) 2019: 49-60 - [i3]Alberto Testolin, Serena Dolfi, Mathijs Rochus, Marco Zorzi:
Perception of visual numerosity in humans and machines. CoRR abs/1907.06996 (2019) - [i2]Alberto Cenzato, Alberto Testolin, Marco Zorzi:
On the difficulty of learning and predicting the long-term dynamics of bouncing objects. CoRR abs/1907.13494 (2019) - 2018
- [j20]Chengyi Tu, Rodrigo P. Rocha, Maurizio Corbetta, Sandro Zampieri, Marco Zorzi, Samir Suweis:
Warnings and caveats in brain controllability. NeuroImage 176: 83-91 (2018) - [j19]Michele De Filippo De Grazia, Daniel Zucchetto, Alberto Testolin, Andrea Zanella, Marco Zorzi, Michele Zorzi:
QoE Multi-Stage Machine Learning for Dynamic Video Streaming. IEEE Trans. Cogn. Commun. Netw. 4(1): 146-161 (2018) - 2017
- [j18]Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi:
The Role of Architectural and Learning Constraints in Neural Network Models: A Case Study on Visual Space Coding. Frontiers Comput. Neurosci. 11: 13 (2017) - 2016
- [j17]Alberto Testolin, Ivilin Peev Stoianov, Alessandro Sperduti, Marco Zorzi:
Learning Orthographic Structure With Sequential Generative Neural Networks. Cogn. Sci. 40(3): 579-606 (2016) - [j16]Alberto Testolin, Marco Zorzi:
Probabilistic Models and Generative Neural Networks: Towards an Unified Framework for Modeling Normal and Impaired Neurocognitive Functions. Frontiers Comput. Neurosci. 10: 73 (2016) - [c9]Michele Zorzi, Andrea Zanella, Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi:
COBANETS: A new paradigm for cognitive communications systems. ICNC 2016: 1-7 - 2015
- [j15]Michele Zorzi, Andrea Zanella, Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi:
Cognition-Based Networks: A New Perspective on Network Optimization Using Learning and Distributed Intelligence. IEEE Access 3: 1512-1530 (2015) - [i1]Fabian Tschopp, Marco Zorzi:
Robust Large-Scale Localization in 3D Point Clouds Revisited. CoRR abs/1511.01156 (2015) - 2014
- [j14]Simone Cutini, Pietro Scatturin, Sara Basso Moro, Marco Zorzi:
Are the neural correlates of subitizing and estimation dissociable? An fNIRS investigation. NeuroImage 85: 391-399 (2014) - [c8]Alberto Testolin, Marco Zanforlin, Michele De Filippo De Grazia, Daniele Munaretto, Andrea Zanella, Marco Zorzi, Michele Zorzi:
A machine learning approach to QoE-based video admission control and resource allocation in wireless systems. Med-Hoc-Net 2014: 31-38 - [c7]Leonardo Badia, Daniele Munaretto, Alberto Testolin, Andrea Zanella, Marco Zorzi, Michele Zorzi:
Cognition-based networks: Applying cognitive science to multimedia wireless networking. WoWMoM 2014: 1-6 - 2013
- [j13]Conrad Perry, Johannes C. Ziegler, Marco Zorzi:
A Computational and Empirical Investigation of Graphemes in Reading. Cogn. Sci. 37(5): 800-828 (2013) - [j12]Fabio Scarpa, Sabrina Brigadoi, Simone Cutini, Pietro Scatturin, Marco Zorzi, Roberto Dell'Acqua, Giovanni Sparacino:
A reference-channel based methodology to improve estimation of event-related hemodynamic response from fNIRS measurements. NeuroImage 72: 106-119 (2013) - 2012
- [j11]Michele De Filippo De Grazia, Simone Cutini, Matteo Lisi, Marco Zorzi:
Space coding for sensorimotor transformations can emerge through unsupervised learning. Cogn. Process. 13(Supplement-1): 141-146 (2012) - [j10]Marco Casarotti, Matteo Lisi, Carlo Umilta, Marco Zorzi:
Paying Attention through Eye Movements: A Computational Investigation of the Premotor Theory of Spatial Attention. J. Cogn. Neurosci. 24(7): 1519-1531 (2012) - [c6]Michele De Filippo De Grazia, Ivilin Peev Stoianov, Marco Zorzi:
Parallelization of Deep Networks. ESANN 2012 - [c5]Alberto Testolin, Alessandro Sperduti, Ivilin Peev Stoianov, Marco Zorzi:
Assessment of sequential Boltmann machines on a lexical processing task. ESANN 2012 - 2011
- [j9]Simone Cutini, Pietro Scatturin, Marco Zorzi:
A new method based on ICBM152 head surface for probe placement in multichannel fNIRS. NeuroImage 54(2): 919-927 (2011) - [j8]Marco Zorzi, Maria Grazia Di Bono, Wim Fias:
Distinct representations of numerical and non-numerical order in the human intraparietal sulcus revealed by multivariate pattern recognition. NeuroImage 56(2): 674-680 (2011) - [c4]Fabio Scarpa, Sabrina Brigadoi, Simone Cutini, Pietro Scatturin, Marco Zorzi, Roberto Dell'Acqua, Giovanni Sparacino:
A methodology to improve estimation of stimulus-evoked hemodynamic response from fNIRS measurements. EMBC 2011: 785-788 - 2010
- [j7]Thomas Hope, Ivilin Peev Stoianov, Marco Zorzi:
Through Neural Stimulation to Behavior Manipulation: A Novel Method for Analyzing Dynamical Cognitive Models. Cogn. Sci. 34(3): 406-433 (2010) - [j6]Massimiliano Versace, Marco Zorzi:
The Role of dopamine in the Maintenance of Working Memory in prefrontal Cortex Neurons: Input-Driven versus Internally-Driven Networks. Int. J. Neural Syst. 20(4): 249-265 (2010) - [j5]Andrea Facoetti, Anna Noemi Trussardi, Milena Ruffino, Maria Luisa Lorusso, Carmen Cattaneo, Raffaella Galli, Massimo Molteni, Marco Zorzi:
Multisensory Spatial Attention Deficits Are Predictive of Phonological Decoding Skills in Developmental Dyslexia. J. Cogn. Neurosci. 22(5): 1011-1025 (2010)
2000 – 2009
- 2009
- [j4]Mario Bonato, Konstantinos Priftis, Roberto Marenzi, Marco Zorzi:
Normal and Impaired Reflexive Orienting of Attention after Central Nonpredictive Cues. J. Cogn. Neurosci. 21(4): 745-759 (2009) - 2008
- [j3]Simone Cutini, Pietro Scatturin, Enrica Menon, Patrizia Silvia Bisiacchi, Luciano Gamberini, Marco Zorzi, Roberto Dell'Acqua:
Selective activation of the superior frontal gyrus in task-switching: An event-related fNIRS study. NeuroImage 42(2): 945-955 (2008) - [j2]Maria Grazia Di Bono, Marco Zorzi:
Decoding Cognitive States from fMRI Data Using Support Vector Regression. PsychNology J. 6(2): 189-201 (2008) - 2006
- [j1]Konstantinos Priftis, Marco Zorzi, Francesca Meneghello, Roberto Marenzi, Carlo Umilta:
Explicit versus Implicit Processing of Representational Space in Neglect: Dissociations in Accessing the Mental Number Line. J. Cogn. Neurosci. 18(4): 680-688 (2006) - [c3]Thomas Hope, Ivilin Peev Stoianov, Marco Zorzi:
Searching for Emergent Representations in Evolved Dynamical Systems. SAB 2006: 522-533 - 2004
- [c2]Marco Zorzi, Francesco Franzè, Nicolò Speciale, Guido Masetti:
A tool for the integration of new VHDL-AMS models in SPICE. ISCAS (4) 2004: 637-640 - 2002
- [c1]Ivilin Peev Stoianov, Marco Zorzi, Suzanna Becker, Carlo Umilta:
Associative Arithmetic with Boltzmann Machines: The Role of Number Representations. ICANN 2002: 277-283
Coauthor Index
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last updated on 2024-11-08 20:31 CET by the dblp team
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