A. Romagnoni

发表

Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data

Judy H. Cho, John P. Ferguson, G. Wainrib, 2019, Scientific Reports.

Development of inhibitory synaptic delay drives maturation of thalamocortical network dynamics

J. Touboul, B. Gutkin, M. Colonnese, 2018 .

Renormalizability of N=1/2 Wess-Zumino model in superspace

A. Romagnoni, 2003, hep-th/0307209.

Two-loop renormalization for nonanticommutative N = 1/2 supersymmetric WZ model

M. Grisaru, A. Romagnoni, S. Penati, 2003, hep-th/0307099.

Mean-field model for the dynamics of conductance-based networks of excitatory and inhibitory spiking neurons with adaptation

A. Destexhe, A. Romagnoni, M. D. Volo, 2018 .

The MSSM Higgs sector with a dynamical goldstino supermultiplet

Christoffer Petersson, A. Romagnoni, 2011, 1111.3368.

On the Dynamic Interplay between Positive and Negative Affects

J. Touboul, R. Schwartz, A. Romagnoni, 2010, 1004.4856.

Moduli stabilization with Fayet-Iliopoulos uplift

E. Dudas, S. Pokorski, Y. Mambrini, 2007, 0711.4934.

Liberating Higgs couplings in supersymmetry

Christoffer Petersson, R. Torre, A. Romagnoni, 2012, 1211.2114.

Nonanticommutative superspace and N = 1/2 WZ model

M. Grisaru, A. Romagnoni, S. Penati, 2004, hep-th/0401174.

State-dependent mean-field formalism to model different activity states in conductance-based networks of spiking neurons.

Alain Destexhe, Maurizio Mattia, Alberto Romagnoni, 2019, Physical review. E.

Progressive Alignment of Inhibitory and Excitatory Delay May Drive a Rapid Developmental Switch in Cortical Network Dynamics.

Jonathan D Touboul, Alberto Romagnoni, Matthew T Colonnese, 2020, Journal of neurophysiology.

Progressive Alignment of Inhibitory and Excitatory Delay May Drive a Rapid Developmental Switch in Cortical Network Dynamics

J. Touboul, B. Gutkin, M. Colonnese, 2019, bioRxiv.

Two-loop renormalization for nonanticommutative N = 1/2 supersymmetric WZ model

M. Grisaru, A. Romagnoni, S. Penati, 2003, hep-th/0307099.

Nonanticommutative U(1) SYM theories: Renormalization, fixed points and infrared stability

A. Romagnoni, S. Penati, M. S. Bianchi, 2009, 0904.3260.

A Renormalizable N=1/2 SYM theory with interacting matter

A. Romagnoni, S. Penati, M. Siani, 2009, 0901.3094.

NON(ANTI)COMMUTATIVE SYM THEORY: RENORMALIZATION IN SUPERSPACE

M. Grisaru, A. Romagnoni, S. Penati, 2005, hep-th/0510175.

Covariant quantization of N = ½ SYM theories and supergauge invariance

A. Romagnoni, S. Penati, 2005 .

Renormalizability of N=1/2 Wess-Zumino model in superspace

A. Romagnoni, 2003, hep-th/0307209.

Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data

Judy H. Cho, John P. Ferguson, G. Wainrib, 2019, Scientific Reports.

Transcriptomic learning for digital pathology

Alberto Romagnoni, Pierre Courtiol, Charlie Saillard, 2019, bioRxiv.

A deep learning model to predict RNA-Seq expression of tumours from whole slide images

Pierre Courtiol, Mikhail Zaslavskiy, Charlie Saillard, 2020, Nature Communications.

Biologically realistic mean-field models of conductancebased networks of spiking neurons with adaptation

Alain Destexhe, Alberto Romagnoni, Matteo di Volo, 2018, bioRxiv.

Extra U(1) as natural source of a monochromatic gamma ray line

E. Dudas, S. Pokorski, Y. Mambrini, 2012, 1205.1520.

(In)visible Z' and dark matter

E. Dudas, S. Pokorski, Y. Mambrini, 2009, 0904.1745.

Gravitino dark matter in hybrid gauge-gravity models

Y. Mambrini, A. Romagnoni, D. Cerdeño, 2009, 0907.4985.

Gauge vs. gravity mediation in models with anomalous U(1)'s

E. Dudas, S. Pokorski, Y. Mambrini, 2008, 0809.5064.

The MSSM Higgs sector with a dynamical goldstino supermultiplet

Christoffer Petersson, A. Romagnoni, 2012, Journal of High Energy Physics.

Higgs decay with monophoton + signature from low scale supersymmetry breaking

Christoffer Petersson, R. Torre, A. Romagnoni, 2012, 1203.4563.

In)visible Zand dark matter

E. Dudas, S. Pokorski, Y. Mambrini, 2009 .

Parsimony , exhaustivity and balanced detection in neocortex : SUPPORTING INFORMATION

J. Touboul, Jérôme Ribot, D. Bennequin, 2015 .

Neuronal cable equations derived from the hydrodynamic motion of charged particles

A. Destexhe, A. Romagnoni, D. Forcella, 2022, Zeitschrift für angewandte Mathematik und Physik.

Neuronal cable equations derived from the hydrodynamic motion of charged particles

A. Destexhe, A. Romagnoni, D. Forcella, 2022, Zeitschrift für angewandte Mathematik und Physik.

On the Dynamical Interplay of Positive and Negative Affects

Jonathan Touboul, Alberto Romagnoni, Robert Schwartz, 2017, Neural Computation.

Higgs decay with monophoton + signature from low scale supersymmetry breaking

Christoffer Petersson, R. Torre, A. Romagnoni, 2012, Journal of High Energy Physics.

State-dependent mean-field formalism to model different activity states in conductance-based networks of spiking neurons.

Alain Destexhe, Maurizio Mattia, Alberto Romagnoni, 2019, Physical review. E.

Parsimony, Exhaustivity and Balanced Detection in Neocortex

Jonathan Touboul, Alberto Romagnoni, Jérôme Ribot, 2014, PLoS Comput. Biol..

Searches for lepton flavor/lepton number violation and hidden sectors in kaon decays at the NA62 experiment

V. Cerný, H. Danielsson, C. Biino, 2022 .