activity
20082022
most citedA Bayesian machine scientist to aid in the solution of challenging scientific problems

137 citations · 404 across the 17 of their papers we have counts for

collaborators

17 papers

cs.DL2022★ 1 cited

Mapping Climate Change Research via Open Repositories & AI: advantages and limitations for an evidence-based R&D policy-making

Nicandro Bovenzi, Nicolau Duran-Silva, Francesco Alessandro Massucci +3

In the last few years, several initiatives have been starting to offer access to research outputs data and metadata in an open fashion. The platforms developed by those initiatives…

cs.DL2022

Mapping STI ecosystems via Open Data: overcoming the limitations of conflicting taxonomies. A case study for Climate Change Research in Denmark

Nicandro Bovenzi, Nicolau Duran-Silva, Francesco Alessandro Massucci +3

Science, Technology and Innovation (STI) decision-makers often need to have a clear vision of what is researched and by whom to design effective policies. Such a vision is provided…

cs.LG2021★ 7 cited

INODE: Building an End-to-End Data Exploration System in Practice [Extended Vision]

Sihem Amer-Yahia, Georgia Koutrika, Frederic Bastian +25

A full-fledged data exploration system must combine different access modalities with a powerful concept of guiding the user in the exploration process, by being reactive and antici…

cs.LG2020★ 137 cited

A Bayesian machine scientist to aid in the solution of challenging scientific problems

Roger Guimera, Ignasi Reichardt, Antoni Aguilar-Mogas +4

Closed-form, interpretable mathematical models have been instrumental for advancing our understanding of the world; with the data revolution, we may now be in a position to uncover…

cs.DL2018★ 81 cited

Measuring the academic reputation through citation networks via PageRank

Francesco Alessandro Massucci, Domingo Docampo

The objective assessment of the prestige of an academic institution is a difficult and hotly debated task. In the last few years, different types of University Rankings have been p…

cs.SI2017★ 8 cited

Inferring propagation paths for sparsely observed perturbations on complex networks

Francesco Alessandro Massucci, Jonathan Wheeler, Raul Beltran-Debon +3

In a complex system, perturbations propagate by following paths on the network of interactions among the system's units. In contrast to what happens with the spreading of epidemics…

physics.bio-ph2015★ 2 cited

Scaling and optimal synergy: Two principles determining microbial growth in complex media

Francesco Alessandro Massucci, Roger Guimerà, Luís A. Nunes Amaral +1

High-throughput experimental techniques and bioinformatics tools make it possible to obtain reconstructions of the metabolism of microbial species. Combined with mathematical frame…

physics.bio-ph2014

Cavity approach for modeling and fitting polymer stretching

Francesco Alessandro Massucci, Isaac Pérez Castillo, Conrad J. Pérez Vicente

The mechanical properties of molecules are today captured by single molecule manipulation experiments, so that polymer features are tested at a nanometric scale. Yet devising mathe…

physics.soc-ph2014★ 100 cited

Multilayer stochastic block models reveal the multilayer structure of complex networks

Toni Valles-Catala, Francesco A. Massucci, Roger Guimera +1

In complex systems, the network of interactions we observe between system's components is the aggregate of the interactions that occur through different mechanisms or layers. Recen…

q-bio.MN2014

Mapping high-growth phenotypes in the flux space of microbial metabolism

Oriol Güell, Francesco Alessandro Massucci, Francesc Font-Clos +2

Experimental and empirical observations on cell metabolism cannot be understood as a whole without their integration into a consistent systematic framework. However, the characteri…

q-bio.MN2013★ 47 cited

Energy metabolism and glutamate-glutamine cycle in the brain: a stoichiometric modeling perspective

Francesco Alessandro Massucci, Mauro DiNuzzo, Federico Giove +4

The energetics of cerebral activity critically relies on the functional and metabolic interactions between neurons and astrocytes. Important open questions include the relation bet…

q-bio.MN2013★ 10 cited

A Novel Methodology to Estimate Metabolic Flux Distributions in Constraint-Based Models

Francesco Alessandro Massucci, Francesc Font-Clos, Andrea De Martino +1

Quite generally, constraint-based metabolic flux analysis describes the space of viable flux configurations for a metabolic network as a high-dimensional polytope defined by the li…

cond-mat.dis-nn2012★ 9 cited

A weighted belief-propagation algorithm to estimate volume-related properties of random polytopes

Francesc Font-Clos, Francesco Alessandro Massucci, Isaac Pérez Castillo

In this work we introduce a novel weighted message-passing algorithm based on the cavity method to estimate volume-related properties of random polytopes, properties which are rele…

cs.DS2011★ 1 cited

A weighted message-passing algorithm to estimate volume-related properties of random polytopes

Francesc Font-Clos, Francesco Alessandro Massucci, Isaac Pérez Castillo

In this letter, we introduce a novel message-passing algorithm for a class of problems which can be mathematically understood as estimating volume-related properties of random poly…

astro-ph.HE2011★ 1 cited

The luminosity evolution over the EQuiTemporal Surfaces in the prompt emission of Gamma-Ray Bursts

Carlo Luciano Bianco, Francesco Alessandro Massucci, Remo Ruffini

Due to the ultrarelativistic velocity of the expanding "fireshell" (Lorentz gamma factor γ\sim 10^2 - 10^3), photons emitted at the same time from the fireshell surface do not reac…

physics.bio-ph2010

The Storm and Nelson's model for polymer stretching revisited

Francesco A. Massucci, Isaac Pérez Castillo, Conrad Pérez Vicente

The quite recent technological rise in molecular biology allowed single molecule manipulation experiments, where molecule stretching plays a primary role. In order to understand th…

q-bio.MN2008

On the role of conserved moieties in shaping the robustness and production capabilities of reaction networks

Andrea De Martino, Carlotta Martelli, Francesco A. Massucci

We study a simplified, solvable model of a fully-connected metabolic network with constrained quenched disorder to mimic the conservation laws imposed by stoichiometry on chemical…