PUBLICATIONS

Find below, my publications by theme:
  • Experiment Design
 
Experiment design for source extraction and separation
Journals:
F. Ghayem, B. Rivet, R. Cabral Farias, C. Jutten
IEEE Transactions on Signal Processing, Volume 69, pp. 4513-4528, july 2021.

Conferences:
F. Ghayem, B. Rivet, R. Cabral Farias, C. Jutten
ICASSP 2020, Barcelona, Spain.
F. Ghayem, B. Rivet, R. Cabral Farias, C. Jutten
ICASSP 2019, Brighton, United Kingdom.
 
Experiment design for complex system simulation
Conferences:
  • Estimation of Quantiles for Monotone Functions: a plug-in adaptive design method
R. Cabral Farias, L. Pronzato, M. J. Rendas
ICRA 2019, Vienna, Austria.
  • Designs for Characterization of Rare Events of Monotone Models
R. Cabral Farias, E. Ouerghi, L. Pronzato, M. J. Rendas,
ENBIS 2018, Nancy, France.
 
Reports, pre-prints:
R. Cabral Farias, M. J. Rendas, L. Pronzato
2019
R. Cabral Farias, M. J. Rendas, L. Pronzato
2019
 
  • Tensor Decompositions
 
Time series modeling using low rank tensor decompositions
Journals:
J. H. M. Goulart, P. M. R. de Oliveira, R. Cabral Farias, V. Zarsoso, P. Comon
IEEE Transactions on Signal Processing, Volume 68, pp. 2682-2696, april 2020.
 
Constrained tensor decompositions and applications
Journals:
Francesca E. D. Raimondi, R. Cabral Farias, Olivier J. Michel, P. Comon,
IEEE Transactions on Signal Processing, Volume 65, number 20, pp. 5334-5346, july 2017.
M. A. Veganzones, J. E. Cohen, R. Cabral Farias, J. Chanussot, P. Comon.,
IEEE Transactions on Geoscienceand Remote Sensing, volume 54, number 5, pp. 2577-2588, may 2016.
J. E. Cohen, R. Cabral Farias, P. Comon,
IEEE Signal Processing Letters, volume 22, number 7, p. 862 – 866, july 2015.
Conferences:
R. Cabral Farias, J. H. M. Goulart , P. Comon,
EUSIPCO 2018, Rome, Italy.
M. A. Veganzones, S. Douté, J. E. Cohen R. Cabral Farias, J. Chanussot, Pierre Comon,
WHISPERS 2016, Los Angeles, United States.
M. A. Veganzones, J.E. Cohen, R. Cabral Farias, K. Usevich, L. Drumetz, J. Chanussot, P. Comon,
EUSIPCO 2016, Budapest, Hungary.
R. Cabral Farias, P. Comon,
EUSIPCO 2015, Nice, France.
M. A. Veganzones, J. E. Cohen, R. Cabral Farias, R. Marrero, J. Chanussot, P. Comon,
EUSIPCO 2015, Nice, France.
R. Cabral Farias, P. Comon, R. Redon,
IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Reims, France.

 
Joint tensor decomposition models using flexible couplings
Journals:
R. Cabral Farias, J. E. Cohen, P. Comon,
IEEE Transactions on Signal Processing, Volume 64, number 18, pp. 4830-4844, june 2016.

Conferences:
J. E. Cohen, R. Cabral Farias, B. Rivet,
14th LVA/ICA conference, 2018, Guilford, United Kingdom.
C. Ren, R. Cabral Farias, P. O. Amblard, P. Comon,
GRETSI 2017, Juan-les-Pins, France.
C. Ren, R. Cabral Farias, Pierre-Olivier Amblard, Pierre Comon,
SAM 2016, special session, Rio de Janeiro, Brazil.
J. E. Cohen, R. Cabral Farias, P. Comon,
EUSIPCO 2016, Budapest, Hungary.
R. Cabral Farias, J. E. Cohen, P. Comon, C. Jutten
12th LVA/ICA conference, Liberec, Czech Republic, 2015.
J. E. Cohen, R. Cabral Farias, P. Comon,
GRETSI 2015, Lyon, France.
 
 
Quantization
 
Algorithms and performance analysis for estimation based on quantized measuraments
Journals:
R. Cabral Farias, J.-M. Brossier,
IEEE Transactions on Signal Processing, volume 62, number 11, p. 2860 – 2870, june 2014.
R. Cabral Farias, E. Moisan, J.-M. Brossier,
IEEE Signal Processing Letters, volume 21, number 5, p. 523 – 526, mai 2014.
R. Cabral Farias et J.-M. Brossier,
Signal Processing, Elsevier, volume 93, p. 3076 – 3087, november 2013.

Conferences :
R. Cabral Farias, J.-M. Brossier
IEEE International Conference on Communications (ICC), 2013, p. 3101-3104, Budapest, Hungary.
Rodrigo C. Farias, Jean-Marc Brossier,
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2013, p. 6436–6440, Vancouver, Canada.
R. Cabral Farias, J.-M. Brossier,
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2013, p. 6441–6445, Vancouver, Canada.
R. Cabral Farias, J.-M. Brossier,
GRETSI, 2013, Brest, France.

Reports, pre-prints :
R. Cabral Farias, J.-M. Brossier
2012
 
Analysis of quantization effects on machine learning algorithms performance
Conferences:
  • Distortion Approximation of a Compressed Softmax Layer
D. Resmerita, R. Cabral Farias, B. D. de Dinechin, L. Fillatre
IEEE SSP, 2021, Rio de Janeiro, Brazil.
  • Classification Error Approximation of a Compressed Linear Softmax Layer
D. Resmerita, R. Cabral Farias, B. D. de Dinechin, L. Fillatre
EUSIPCO, 2021, Dublin, Irlande.
  • Représentations arithmétiques flottantes de taille réduite pour le Deep Learning
D. Resmerita, R. Cabral Farias, B. D. de Dinechin, L. Fillatre
CORESA, 2021, Sophia Antipolis, France.
  • Compression of Deep Neural Networks based on Uniform and Non Uniform Quantization
D. Resmerita, R. Cabral Farias, B. D. de Dinechin, L. Fillatre
ORASIS , 2019, p. 3101-3104, St.-Dié-des-Vosges, France.
  • Compression des réseaux de neurones profonds à base de quantification uniforme et non-uniforme
D. Resmerita, R. Cabral Farias, B. D. de Dinechin, L. Fillatre
GRETSI, 2019, Lille, France.