Marco Zorzi
Orcid: 0000-0002-4651-6390
According to our database1,
Marco Zorzi
authored at least 49 papers
between 2002 and 2024.
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Bibliography
2024
Estimating the distribution of numerosity and non-numerical visual magnitudes in natural scenes using computer vision.
CoRR, 2024
Relative Local Signal Strength: The Impact of Normalization on the Analysis of Neuroimaging Data with Deep Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024
2023
Cogn. Comput., January, 2023
Proceedings of the Brain Informatics - 16th International Conference, 2023
2022
Prediction of Neuropsychological Scores from Functional Connectivity Matrices Using Deep Autoencoders.
Proceedings of the Brain Informatics - 15th International Conference, 2022
2021
Augmented Reality as a research tool: investigating cognitive-motor dual-task during outdoor navigation.
Int. J. Hum. Comput. Stud., 2021
Learning Numerosity Representations with Transformers: Number Generation Tasks and Out-of-Distribution Generalization.
Entropy, 2021
A comparison of feature extraction methods for prediction of neuropsychological scores from functional connectivity data of stroke patients.
Brain Informatics, 2021
Assessment of Machine Learning Pipelines for Prediction of Behavioral Deficits from Brain Disconnectomes.
Proceedings of the Brain Informatics - 14th International Conference, 2021
2020
NeuroImage, 2020
Long-Term Prediction of Physical Interactions: A Challenge for Deep Generative Models.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020
A Systematic Assessment of Feature Extraction Methods for Robust Prediction of Neuropsychological Scores from Functional Connectivity Data.
Proceedings of the Brain Informatics - 13th International Conference, 2020
2019
A Comparison of Shallow and Deep Learning Methods for Predicting Cognitive Performance of Stroke Patients From MRI Lesion Images.
Frontiers Neuroinformatics, 2019
On the difficulty of learning and predicting the long-term dynamics of bouncing objects.
CoRR, 2019
Proceedings of the Advances in Computational Intelligence, 2019
2018
IEEE Trans. Cogn. Commun. Netw., 2018
2017
The Role of Architectural and Learning Constraints in Neural Network Models: A Case Study on Visual Space Coding.
Frontiers Comput. Neurosci., 2017
2016
Probabilistic Models and Generative Neural Networks: Towards an Unified Framework for Modeling Normal and Impaired Neurocognitive Functions.
Frontiers Comput. Neurosci., 2016
Cogn. Sci., 2016
Proceedings of the 2016 International Conference on Computing, 2016
2015
Cognition-Based Networks: A New Perspective on Network Optimization Using Learning and Distributed Intelligence.
IEEE Access, 2015
2014
Are the neural correlates of subitizing and estimation dissociable? An fNIRS investigation.
NeuroImage, 2014
Cognition-based networks: Applying cognitive science to multimedia wireless networking.
Proceedings of the Proceeding of IEEE International Symposium on a World of Wireless, 2014
A machine learning approach to QoE-based video admission control and resource allocation in wireless systems.
Proceedings of the 13th Annual Mediterranean Ad Hoc Networking Workshop, 2014
2013
A reference-channel based methodology to improve estimation of event-related hemodynamic response from fNIRS measurements.
NeuroImage, 2013
Cogn. Sci., 2013
2012
Paying Attention through Eye Movements: A Computational Investigation of the Premotor Theory of Spatial Attention.
J. Cogn. Neurosci., 2012
Space coding for sensorimotor transformations can emerge through unsupervised learning.
Cogn. Process., 2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
2011
Distinct representations of numerical and non-numerical order in the human intraparietal sulcus revealed by multivariate pattern recognition.
NeuroImage, 2011
A new method based on ICBM152 head surface for probe placement in multichannel fNIRS.
NeuroImage, 2011
A methodology to improve estimation of stimulus-evoked hemodynamic response from fNIRS measurements.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
Multisensory Spatial Attention Deficits Are Predictive of Phonological Decoding Skills in Developmental Dyslexia.
J. Cogn. Neurosci., 2010
The Role of dopamine in the Maintenance of Working Memory in prefrontal Cortex Neurons: Input-Driven versus Internally-Driven Networks.
Int. J. Neural Syst., 2010
Through Neural Stimulation to Behavior Manipulation: A Novel Method for Analyzing Dynamical Cognitive Models.
Cogn. Sci., 2010
2009
Normal and Impaired Reflexive Orienting of Attention after Central Nonpredictive Cues.
J. Cogn. Neurosci., 2009
2008
PsychNology J., 2008
Selective activation of the superior frontal gyrus in task-switching: An event-related fNIRS study.
NeuroImage, 2008
2006
Explicit versus Implicit Processing of Representational Space in Neglect: Dissociations in Accessing the Mental Number Line.
J. Cogn. Neurosci., 2006
Proceedings of the From Animals to Animats 9, 2006
2004
A tool for the integration of new VHDL-AMS models in SPICE.
Proceedings of the 2004 International Symposium on Circuits and Systems, 2004
2002
Proceedings of the Artificial Neural Networks, 2002