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19912026
most citedStarburst99: Synthesis Models for Galaxies with Active Star Formation

4k citations

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57 papers · 1 filter

cs.CR2017★ 10 cited

A Slow Read attack Using Cloud

Darine Ameyed, Fehmi Jaafar, Jaouhar Fattahi

Cloud computing relies on sharing computing resources rather than having local servers or personal devices to handle applications. Nowadays, cloud computing has become one of the f…

math.SP2017★ 10 cited

The Steklov spectrum of cuboids

Alexandre Girouard, Jean Lagacé, Iosif Polterovich +1

The paper is concerned with the Steklov eigenvalue problem on cuboids of arbitrary dimension. We prove a two-term asymptotic formula for the counting function of Steklov eigenvalue…

eess.SY2017★ 3 cited

La production de nitrites lors de la dénitrification des eaux usées par biofiltration - Stratégie de contrôle et de réduction des concentrations résiduelles

Vincent Rocher, Cédric Join, Stéphane Mottelet +6

The recent popularity of post-denitrification processes in the greater Paris area wastewater treatment plants has caused a resurgence of the presence of nitrite in the Seine river.…

cs.LG2017★ 4 cited

Generative Adversarial Positive-Unlabelled Learning

Ming Hou, Brahim Chaib-draa, Chao Li +1

In this work, we consider the task of classifying binary positive-unlabeled (PU) data. The existing discriminative learning based PU models attempt to seek an optimal reweighting s…

physics.soc-ph2017★ 2 cited

Exact analytical solution of irreversible binary dynamics on networks

Edward Laurence, Jean-Gabriel Young, Sergey Melnik +1

In binary cascade dynamics, the nodes of a graph are in one of two possible states (inactive, active), and nodes in the inactive state make an irreversible transition to the active…

stat.ML2017★ 2 cited

Maximum Margin Interval Trees

Alexandre Drouin, Toby Dylan Hocking, François Laviolette

Learning a regression function using censored or interval-valued output data is an important problem in fields such as genomics and medicine. The goal is to learn a real-valued pre…

cs.CV2017★ 1 cited

An iterative closest point method for measuring the level of similarity of 3d log scans in wood industry

Cyrine Selma, Hind Haouzi, Philippe Thomas +2

In the Canadian's lumber industry, simulators are used to predict the lumbers resulting from the sawing of a log at a given sawmill. Giving a log or several logs' 3D scans as input…

math.PR2017★ 3 cited

Brownian motion with general drift

D. Kinzebulatov, Yu. A. Semenov

We construct and study the weak solution to stochastic differential equation , , for every , , with in the c…

physics.ins-det2017★ 70 cited

Comparing optical oscillators across the air to milliradians in phase and in frequency

Laura C. Sinclair, Hugo Bergeron, William C. Swann +3

We demonstrate carrier-phase optical two-way time-frequency transfer (carrier-phase OTWTFT) through the two-way exchange of frequency comb pulses. Carrier-phase OTWTFT achieves fre…

eess.SP2017★ 5 cited

Radiation Pattern Synthesis Using Hybrid Fourier- Woodward-Lawson-Neural Networks for Reliable MIMO Antenna Systems

Elies Ghayoula, Ridha Ghayoula, Jaouhar Fattahi +3

In this paper, we implement hybrid Woodward-Lawson-Neural Networks and weighted Fourier method to synthesize antenna arrays. The neural networks (NN) is applied here to simplify th…

physics.soc-ph2017★ 6 cited

Geometric evolution of complex networks

Charles Murphy, Antoine Allard, Edward Laurence +2

We present a general class of geometric network growth mechanisms by homogeneous attachment in which the links created at a given time are distributed homogeneously between a n…

physics.med-ph2017★ 10 cited

On EM Reconstruction of a Multi Channel Shielded Applicator for Cervical Cancer Brachytherapy: A Feasibility Study

D. Tho, E. Racine, H. Easton +2

Electromagnetic tracking (EMT) is a promising technology for automated catheter and applicator reconstruc- 10 tions in brachytherapy. In this work, a proof-of-concept is presented…

physics.data-an2017★ 5 cited

A new "3D Calorimetry" of hot nuclei

E. Vient, L. Manduci, E. Legouée +27

In the domain of Fermi energy, it is extremely complex to isolate experimentally fragments and particles issued from the cooling of a hot nucleus produced during a heavy ion collis…

math.NT2017

Plus and minus logarithms and Amice transform

Cedric Dion, Antonio Lei

We give a new description of Pollack's plus and minus -adic logarithms in terms of distributions. In particular, if denote the pre-images of un…

stat.AP2017★ 17 cited

EMD-regression for modelling multi-scale relationships, and application to weather-related cardiovascular mortality

Pierre Masselot, Fateh Chebana, Diane Bélanger +4

In a number of environmental studies, relationships between natural processes are often assessed through regression analyses, using time series data. Such data are often multi-scal…

physics.soc-ph2017★ 24 cited

Phase transition of the susceptible-infected-susceptible dynamics on time-varying configuration model networks

Guillaume St-Onge, Jean-Gabriel Young, Edward Laurence +2

We present a degree-based theoretical framework to study the susceptible-infected-susceptible (SIS) dynamics on time-varying (rewired) configuration model networks. Using this fram…

math.AP2017

On the theory of the Kolmogorov operator in the spaces and I

D. Kinzebulatov, Yu. A. Semenov

We obtain the basic results concerning the problem of constructing operator realizations of the formal differential expression with m…

hep-ph2017★ 1 cited

Holomorphic Scalar Portals and the OPE

Jean-François Fortin, Shanny Pelchat-Voyer

Visible-sector SUSY-breaking effects are computed in terms of hidden-sector correlation functions for generic holomorphic scalar portals. The solutions, which are valid irrespectiv…

cs.AI2017★ 79 cited

Applying Deep Bidirectional LSTM and Mixture Density Network for Basketball Trajectory Prediction

Yu Zhao, Rennong Yang, Guillaume Chevalier +2

Data analytics helps basketball teams to create tactics. However, manual data collection and analytics are costly and ineffective. Therefore, we applied a deep bidirectional long s…

stat.ML2017★ 21 cited

Streaming kernel regression with provably adaptive mean, variance, and regularization

Audrey Durand, Odalric-Ambrym Maillard, Joelle Pineau

We consider the problem of streaming kernel regression, when the observations arrive sequentially and the goal is to recover the underlying mean function, assumed to belong to an R…

cs.CR2017★ 3 cited

Witness-Functions versus Interpretation-Functions for Secrecy in Cryptographic Protocols: What to Choose?

Jaouhar Fattahi, Mohamed Mejri, Marwa Ziadia +2

Proving that a cryptographic protocol is correct for secrecy is a hard task. One of the strongest strategies to reach this goal is to show that it is increasing, which means that t…

cs.CR2017★ 1 cited

Cryptographic Protocol for Multipart Missions Involving Two Independent and Distributed Decision Levels in a Military Context

Jaouhar Fattahi, Mohamed Mejri, Marwa Ziadia +3

In several critical military missions, more than one decision level are involved. These decision levels are often independent and distributed, and sensitive pieces of information m…

nucl-ex2017★ 4 cited

Understand the thermometry of hot nuclei from the energy spectra of light charged particles

E. Vient, L. Augey, B. Borderie +25

In the domain of Fermi energy, the hot nucleus temperature can be determined by using the energy spectra of evaporated light charged particles. But this method of measurement is no…

astro-ph.SR2017★ 4 cited

Measurements of microturbulence of Cepheids using the autocorrelation function

E. F. Borra, D. Deschatelets

The autocorrelation function (ACF) is a simple and useful tool that allows to measure the average linewidth of spectra with great precision. Unlike the cross-correlation function (…