Výsledky vyhledávání - "Marco Valtorta"

Akademický článek

Reconstitution of the Human Nigro-striatal Pathway on-a-Chip Reveals OPA1-Dependent Mitochondrial Defects and Loss of Dopaminergic Synapses

Autor: Angelo Iannielli, Giovanni Stefano Ugolini, Chiara Cordiglieri, Simone Bido, Alicia Rubio, Gaia Colasante, Marco Valtorta, Tommaso Cabassi, Marco Rasponi, Vania Broccoli

Publikováno v: Cell Reports, Vol 29, Iss 13, Pp 4646-4656.e4 (2019)

Summary: Stem cell-derived neurons are generally obtained in mass cultures that lack both spatial organization and any meaningful connectivity. We implement a microfluidic system for long-term culture of human neurons with patterned projections and s

Externí odkaz: https://doaj.org/article/6c19f59060884387bf61e15b4feb78ac

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Akademický článek

Study of subcellular localization and proteolysis of ataxin-3

Autor: Chiara Pozzi, Marco Valtorta, Gabriella Tedeschi, Elena Galbusera, Valentina Pastori, Alessandra Bigi, Simona Nonnis, Eleonora Grassi, Paola Fusi

Publikováno v: Neurobiology of Disease, Vol 30, Iss 2, Pp 190-200 (2008)

In this work we investigate subcellular localization and proteolytic cleavage of different forms of ataxin-3 (AT-3), the protein responsible for spinocerebellar ataxia type 3. Normal (AT-3Q6 and AT-3Q26) and pathological (AT-3Q72) ataxins-3, as well

Externí odkaz: https://doaj.org/article/f06b136b193e47fab1a7ca8b35ce38a8

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A decomposition-based algorithm for learning the structure of multivariate regression chain graphs

Autor: Mohammad Ali Javidian, Marco Valtorta

Publikováno v: International Journal of Approximate Reasoning. 136:66-85

We extend the decomposition approach for learning Bayesian networks (BNs) proposed by Xie et al. (2006) [54] to learning multivariate regression chain graphs (MVR CGs), which include BNs as a special case. The same advantages of this decomposition ap

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::91f6a71438450756bc819bd2cde7ea02
https://doi.org/10.1016/j.ijar.2021.05.005

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On a hypergraph probabilistic graphical model

Autor: Marco Valtorta, Zhiyu Wang, Mohammad Ali Javidian, Linyuan Lu

Publikováno v: Annals of Mathematics and Artificial Intelligence. 88:1003-1033

We propose a directed acyclic hypergraph framework for a probabilistic graphical model that we call Bayesian hypergraphs. The space of directed acyclic hypergraphs is much larger than the space of chain graphs. Hence Bayesian hypergraphs can model mu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41f25277cef18df1ca3bb4abe1e2060f
https://doi.org/10.1007/s10472-020-09701-7

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Adversarial data poisoning attacks against the PC learning algorithm

Autor: Csilla Farkas, Marco Valtorta, Emad Alsuwat, Hatim Alsuwat

Publikováno v: International Journal of General Systems. 49:3-31

Data integrity is a key component of effective Bayesian network structure learning algorithms, namely PC algorithm, design and use. Given the role that integrity of data plays in these outcomes, th...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::575ede364c04f95cb2135548f03c9446
https://doi.org/10.1080/03081079.2019.1630401

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An Order-Independent Algorithm for Learning Chain Graphs

Autor: Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi

Publikováno v: FLAIRS Conference

LWF chain graphs combine directed acyclic graphs and undirected graphs. We propose a PC-like algorithm, called PC4LWF, that finds the structure of chain graphs under the faithfulness assumption to resolve the problem of scalability of the proposed al

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e30a0ecaa1013ff63b4d0d4568d4d7ec
https://doi.org/10.32473/flairs.v34i1.128365

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Deadlock-Free Online Plan Repair in Multi-robot Coordination with Disturbances

Autor: Adem Coskun, Marco Valtorta, Jason M. O'Kane

Publikováno v: FLAIRS Conference

Multirobot systems are increasingly deployed in environments where they interact with humans. From the perspective of a robot, such interaction could be considered a disturbance that causes a well-planned trajectory to fail. Previous approaches that

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2ef1f32f1e56fd8d2f120c56bbf53e72
https://doi.org/10.32473/flairs.v34i1.128371

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AMP Chain Graphs: Minimal Separators and Structure Learning Algorithms

Autor: Marco Valtorta, Pooyan Jamshidi, Mohammad Ali Javidian

We address the problem of finding a minimal separator in an Andersson-Madigan-Perlman chain graph (AMP CG), namely, finding a set Z of nodes that separates a given nonadjacent pair of nodes such that no proper subset of Z separates that pair. We anal

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35f9fea224f8c59d847c146515c2025a
http://arxiv.org/abs/2002.10870

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Detecting Adversarial Attacks in the Context of Bayesian Networks

Autor: Marco Valtorta, Emad Alsuwat, John R. Rose, Csilla Farkas, Hatim Alsuwat

Publikováno v: Lecture Notes in Computer Science
33th IFIP Annual Conference on Data and Applications Security and Privacy (DBSec)
33th IFIP Annual Conference on Data and Applications Security and Privacy (DBSec), Jul 2019, Charleston, SC, United States. pp.3-22, ⟨10.1007/978-3-030-22479-0_1⟩
Data and Applications Security and Privacy XXXIII ISBN: 9783030224783
DBSec

Part 1: Attacks; International audience; In this research, we study data poisoning attacks against Bayesian network structure learning algorithms. We propose to use the distance between Bayesian network models and the value of data conflict to detect

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f6a070ee75b86006826bca7f5252659
https://hal.inria.fr/hal-02384585/document

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CRISPR/Cas9-mediated generation of a tyrosine hydroxylase reporter iPSC line for live imaging and isolation of dopaminergic neurons

Autor: Angel Raya, Carles Calatayud, Giulia Carola, Senda Jiménez-Delgado, Antonella Consiglio, Jordi Soriano-Fradera, Javier García-Sancho, Marco Valtorta, Mònica Díaz, Irene Fernandez-Carasa, Graziella Cappelletti

Publikováno v: Recercat. Dipósit de la Recerca de Catalunya
instname
SCIENTIFIC REPORTS
r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
Scientific Reports, Vol 9, Iss 1, Pp 1-9 (2019)
Scientific Reports
Digital.CSIC. Repositorio Institucional del CSIC
r-FSJD: Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
Fundació Sant Joan de Déu
Dipòsit Digital de la UB
Universidad de Barcelona

Patient-specific induced pluripotent stem cells (iPSCs) are a powerful tool to investigate the molecular mechanisms underlying Parkinson’s disease (PD), and might provide novel platforms for systematic drug screening. Several strategies have been d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::992f63d0cdecbaa10612ab5810a3909b
http://hdl.handle.net/2445/148117

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