Journal Articles
P. Gupta, A. Majumdar, E. Chouzenoux, G. Chierchia
DeConDFFuse : Predicting Drug-Drug Interaction using joint Deep Convolutional Transform Learning and Decision Forest fusion framework
Expert Systems With Applications, To appear, 2023
bibtex
ArXiv
@article{Gupta_2023,
author = {Gupta, P. and Majumdar, A. and Chouzenoux, E. and Chierchia, G.},
title = {DeConDFFuse : Predicting Drug-Drug Interaction using joint Deep Convolutional Transform Learning and Decision Forest fusion framework},
journal = {Expert Systems With Applications},
year = {2023},
}
H. Petric Materic, M. El Gheche, M. Minder, G. Chierchia, and P. Frossard
Wasserstein-based Graph Alignment
IEEE Transactions on Signal and Information Processing over Networks, Vol. 8, pp. 353--363, April 2022
bibtex
ArXiv
@article{Petric_2022,
author = {Petric Materic, H. and El Gheche, M. and Minder, M. and Chierchia, G. and Frossard, P.},
title = {Wasserstein-based Graph Alignment},
journal = {IEEE Transactions on Signal and Information Processing over Networks},
year = {2022},
volume = {8},
pages = {353--363},
month = apr,
}
S. Singh, J. Maggu, A. Majumdar, E. Chouzenoux, and G. Chierchia
Multi-label Deep Convolutional Transform Learning for Non-intrusive Load Monitoring
ACM Transactions on Knowledge Discovery from Data, November 2021.
bibtex
@article{Singh_acm2021,
author = {S. Singh and J. Maggu and A. Majumdar and E. Chouzenoux and G. Chierchia},
title = {Multi-label Deep Convolutional Transform Learning for Non-intrusive Load Monitoring},
journal = {ACM Transactions on Knowledge Discovery from Data},
year = {2021},
month = nov,
}
T. X. Nguyen, G. Chierchia, O. Razim, R. F. Peletier, L. Najman, H. Talbot, B. Perret
Object Detection With Component-Graphs in Multi-Band Images: Application to Source Detection in Astronomical Images
IEEE Access, November 2021.
bibtex
@Article{Nguyen_access2021,
author = {T. X. Nguyen and G. Chierchia and O. Razim and R. F. Peletier and L. Najman and H. Talbot and B. Perret},
title = {Object Detection With Component-Graphs in Multi-Band Images: Application to Source Detection in Astronomical Images},
journal = {IEEE Access},
year = {2021},
month = nov,
}
S. Luo, Y. Shi, L. K. Chin, Y. Zhang, B. Wen, Y. Sun, B. T. T. Nguyen, G. Chierchia, H. Talbot, T. Bourouina, X. Jiang and A.-Q. Liu
Rare bioparticle detection via deep metric learning
RSC Advances, Vol. 11, pp. 17603-17610, May 2021
S. Luo, K. T. Nguyen, B. T. T. Nguyen, S. Feng, Y. Shi, A. Elsayed, Y. Zhang, X. Zhou, B. Wen, G. Chierchia, H. Talbot, T. Bourouina, X. Jiang, A. Q. Liu.
Deep learning‐enabled imaging flow cytometry for high‐speed Cryptosporidium and Giardia detection
Cytometry Part A, February 2021
G. Chierchia, and B. Perret
Ultrametric Fitting by Gradient Descent
Journal of Statistical Mechanics: Theory and Experiment, Vol. 2020, No. 12, December 2020.
bibtex
ArXiv
doi
code
@article{Chierchia_jsm2020,
author = {Chierchia, G. and Perret, B.},
title = {Ultrametric Fitting by Gradient Descent},
journal = {Journal of Statistical Mechanics: Theory and Experiment},
year = {2020},
volume = {2020},
number = {12},
}
S. Luo, Y. Zhang, K.T. Nguyen, S. Feng, Y. Shi, Y. Liu, P. Hutchinson, G. Chierchia, H. Talbot, T. Bourouina, X. Jiang, A.Q. Liu
Machine Learning-Based Pipeline for High Accuracy Bioparticle Sizing
Micromachines, Vol. 11, No. 12, pp. 1080, December 2020
P. Gupta, A. Majumdar, E. Chouzenoux and G. Chierchia
SuperDeConFuse: A Supervised Deep Convolutional Transform based Fusion Framework for Financial Trading Systems
Expert Systems With Applications, To Appear, 2020
bibtex
pdf
doi
@Article{Gupta2020,
author = {P. Gupta and A. Majumdar and E. Chouzenoux and G. Chierchia},
title = {SuperDeConFuse: A Supervised Deep Convolutional Transform based Fusion Framework for Financial Trading Systems},
journal = {Expert Systems With Applications},
volume = {},
number = {},
pages = {},
year = {2020},
month = {},
}
M. El Gheche, G. Chierchia, and P. Frossard
OrthoNet: Multilayer Network Data Clustering
IEEE Transactions on Signal and Information Processing over Networks, Vol. 6, No. 1, pp. 13-23, December 2020
bibtex
pdf
doi
code
@Article{ElGheche2020_tsipn,
author = {El Gheche, M. and Chierchia, G. and Frossard, P.},
title = {OrthoNet: Multilayer Network Data Clustering},
journal = {IEEE Transactions on Signal and Information Processing over Networks},
volume = {6},
number = {1},
pages = {13--23},
year = {2020},
month = dec,
}
J. Maggu, A. Majumdar and E. Chouzenoux and G. Chierchia
Deeply Transformed Subspace Clustering
Signal Processing, vol. 174, pp. 107628, September 2020
bibtex
pdf / doi
@article{Maggu2020,
title = "Deeply transformed subspace clustering",
journal = "Signal Processing",
volume = "174",
pages = "107628",
year = "2020",
author = "J. Maggu and A. Majumdar and E. Chouzenoux and G. Chierchia",
}
P. Gupta, J. Maggu, A. Majumdar, E. Chouzenoux and G. Chierchia
DeConFuse: A Deep Convolutional Transform based Unsupervised Fusion Framework
EURASIP Journal on Advances in Signal Processing, May 2020
bibtex
pdf
doi
@Article{Gupta2020_deconfuse,
author = {P. Gupta and J. Maggu and A. Majumdar and E. Chouzenoux and G. Chierchia},
title = {DeConFuse: A Deep Convolutional Transform based Unsupervised Fusion Framework},
journal = {EURASIP Journal on Advances in Signal Processing},
year = {2020},
month = may,
}
B. Perret, G. Chierchia, J. Cousty, S. Guimarães, Y. Kenmochi, L. Najman
Higra: Hierarchical Graph Analysis
SoftwareX, vol. 10, pp. 100335, July-December 2019
bibtex
pdf / doi
code
@Article{Perret2019_higra,
author = {B. Perret and G. Chierchia and J. Cousty and S. Guimar{\~a}es and Y. Kenmochi and L. Najman},
title = {Higra: Hierarchical Graph Analysis},
journal = {SoftwareX},
volume = {10},
pages = {100335},
year = {2019},
month = {Jul.--Dec.},
}
L. M. Briceno-Arias, G. Chierchia, E. Chouzenoux, and J.-C. Pesquet
A Random Block-Coordinate Douglas-Rachford Splitting Method with Low Computational Complexity for Binary Logistic Regression
Computational Optimization and Applications, Vol. 72, No. 3, pp. 707-726, April 2019
bibtex
pdf
doi
@Article{Briceno2019_coap,
author = {Briceno-Arias, L. M. and Chierchia, G. and Chouzenoux, E. and Pesquet, J.-C.},
title = {A Random Block-Coordinate Douglas-Rachford Splitting Method with Low Computational Complexity for Binary Logistic Regression},
journal = {Computational Optimization and Applications},
volume = {72},
number = {3},
pages = {707--726},
year = {2019},
month = jan,
}
M. El Gheche, G. Chierchia, and J.-C. Pesquet
Proximity Operators of Discrete Information Divergences
IEEE Transactions on Information Theory, Vol. 64, No. 2, pp. 1092-1104, February 2018
bibtex
pdf (long)
pdf (short)
doi
code
@Article{ElGheche2018_tit,
author = {El Gheche, M. and Chierchia, G. and Pesquet, J.-C.},
title = {Proximity Operators of Discrete Information Divergences},
journal = {IEEE Transactions on Information Theory},
volume = {64},
number = {2},
pages = {1092--1104},
year = {2018},
month = feb,
}
G. Chierchia, M. El Gheche, G. Scarpa, and L. Verdoliva
Multitemporal SAR Image Despeckling based on Block-Matching and Collaborative Filtering
IEEE Transactions on Geoscience and Remote Sensing, Vol. 55, No. 10, pp. 5467-5480, October 2017
bibtex
pdf
doi
code
@Article{Chierchia2017_tgrs,
author = {Chierchia, G. and El Gheche, M. and Scarpa, G. and Verdoliva, L.},
title = {Multitemporal {SAR} Image Despeckling based on Block-Matching and Collaborative Filtering},
journal = {IEEE Transactions on Geoscience and Remote Sensing},
year = {2017},
volume = {55},
number = {10},
pages = {5467--5480},
month = oct,
}
A. Fiengo, G. Chierchia, M. Cagnazzo, and B. Pesquet-Popescu
Rate Allocation in Predictive Video Coding Using a Convex Optimization Framework
IEEE Transactions on Image Processing, Vol. 26, No. 1, pp. 479-489, January 2017
bibtex
pdf
doi
@Article{Chierchia2017_tip,
author = {Fiengo, A. and Chierchia, G. and Cagnazzo, M. and Pesquet-Popescu, B.},
title = {Rate Allocation in Predictive Video Coding Using a Convex Optimization Framework},
journal = {IEEE Transactions on Image Processing},
volume = {26},
number = {1},
pages = {479--489},
month = jan,
year = {2017},
}
G. Chierchia, N. Pustelnik, J.-C. Pesquet, and B. Pesquet-Popescu
Epigraphical Projection and Proximal Tools for Solving Constrained Convex Optimization Problems
Signal, Image and Video Processing, Vol. 9, No. 8, pp. 1737-1749, November 2015
bibtex
pdf
doi
code
@Article{Chierchia2015_sivp,
author = {Chierchia, G. and Pustelnik, N. and Pesquet, J.-C. and Pesquet-Popescu, B.},
title = {Epigraphical Projection and Proximal Tools for Solving Constrained Convex Optimization Problems},
journal = {Signal, Image and Video Processing},
year = {2015},
volume = {9},
number = {8},
pages = {1737--1749},
month = nov,
}
G. Chierchia, N. Pustelnik, B. Pesquet-Popescu, and J.-C. Pesquet
A Nonlocal Structure Tensor Based Approach for Multicomponent Image Recovery Problems
IEEE Transactions on Image Processing, Vol. 23, No. 12, pp. 5531-5544, December 2014
bibtex
pdf
doi
@Article{Chierchia2014_tip,
author = {Chierchia, G. and Pustelnik, N. and Pesquet-Popescu, B. and Pesquet, J.-C.},
title = {A Nonlocal Structure Tensor Based Approach for Multicomponent Image Recovery Problems},
journal = {IEEE Transactions on Image Processing},
year = {2014},
volume = {23},
number = {12},
pages = {5531--5544},
month = dec,
}
G. Chierchia, G. Poggi, C. Sansone, and L. Verdoliva
A Bayesian-MRF Approach for PRNU-based Image Forgery Detection
IEEE Transactions on Information Forensics and Security, Vol. 9, No. 4, pp. 554-567, April 2014
bibtex
pdf
doi
code
@Article{Chierchia2014_tifs,
author = {Chierchia, G. and Poggi, G. and Sansone, C. and Verdoliva, L.},
title = {A {B}ayesian-{MRF} Approach for {PRNU}-based Image Forgery Detection},
journal = {IEEE Transactions on Information Forensics and Security},
year = {2014},
volume = {9},
number = {4},
pages = {554--567},
month = apr,
}
Conferences (recent years)
N. Michel, G. Chierchia, R. Negrel, J.-F. Bercher
Learning Representations on the Unit Sphere: Investigating Angular Gaussian and von Mises-Fisher Distributions for Online Continual Learning
AAAI Conference on Artificial Intelligence, Vancouver, Canada, 2024
bibtex
@InProceedings{Michel_aaai2024,
author = {Michel, N. and Chierchia, G. and Negrel, R. and Bercher J.-F.},
title = {Learning Representations on the Unit Sphere: Investigating Angular Gaussian and von Mises-Fisher Distributions for Online Continual Learning},
booktitle = {AAAI Conference on Artificial Intelligence},
address = {Vancouver, Canada},
year = {2024},
}
R. Lapertot, G. Chierchia, B. Perret
Supervised Learning of Hierarchical Image Segmentation
Proceedings of CIARP, Coimbra, Portugal, November 2023
bibtex
ArXiv
@InProceedings{Lapertot_2023,
author = {Lapertot, R. and Chierchia, G. and Perret, B.},
title = {Supervised Learning of Hierarchical Image Segmentation},
booktitle = {Proceedings of CIARP},
address = {Coimbra, Portugal},
year = {2023},
}
N. Michel, R. Negrel, G. Chierchia, J.-F. Bercher
Domain-Aware Augmentations for Unsupervised Online General Continual Learning
British Machine Vision Conference, Aberdeen, Scotland, November 2023.
bibtex
@InProceedings{Michel_bmvc2023,
author = {Michel, N. and Negrel, R. and Chierchia, G. and Bercher J.-F.},
title = {Domain-Aware Augmentations for Unsupervised Online General Continual Learning},
booktitle = {British Machine Vision Conference},
address = {Aberdeen, Scotland},
year = {2023},
month = nov,
}
H. Petric Materic, M. El Gheche, G. Chierchia, and P. Frossard
fGOT: Graph Distances based on Filters and Optimal Transport
AAAI Conference on Artificial Intelligence, Vancouver, Canada, March 2022
bibtex
ArXiv
@InProceedings{Petric_2022,
author = {Petric Materic, H. and El Gheche, M. and Chierchia, G. and Frossard, P.},
title = {FGOT: Graph Distances based on Filters and Optimal Transport},
booktitle = {AAAI Conference on Artificial Intelligence},
address = {Vancouver, Canada},
year = {2022},
}
N. Michel, R. Negrel, G. Chierchia, J.-F. Bercher
Contrastive Learning for Online Semi-Supervised General Continual Learning.
Proceedings of ICIP, Bordeaux, France, Octobre 2022.
bibtex
@InProceedings{Singh_icip2022,
author = {Michel, N. and Negrel, R. and and Chierchia, G. and Bercher J.-F.},
title = {Contrastive Learning for Online Semi-Supervised General Continual Learning},
booktitle = {Proceedings of ICIP},
address = {Bordeaux, France},
year = {2022},
month = oct,
}
S. Singh, A. Majumdar, E. Chouzenoux, G. Chierchia
Semi-supervised Deep Convolutional Transform Learning for Hyperspectral Image Classification.
Proceedings of ICIP, Bordeaux, France, Octobre 2022.
bibtex
@InProceedings{Singh_icip2022,
author = {Singh, S. and Majumdar, A. and Chouzenoux, E. and Chierchia, G.},
title = {Semi-supervised Deep Convolutional Transform Learning for Hyperspectral Image Classification},
booktitle = {Proceedings of ICIP},
address = {Bordeaux, France},
year = {2022},
month = oct,
}
G. Chierchia, M. El Gheche
YAPA: Accelerated Proximal Algorithm for Convex Composite Problems
Proceedings of ICASSP, Toronto, Canada, June 2021.
bibtex
J. Maggu, A. Majumdar, E. Chouzenoux, G. Chierchia
Deep Convolutional Transform Learning.
Proceedings of ICONIP, Bangkok, Thailand, November 2020.
bibtex
@InProceedings{Jyoti_iconip2020,
author = {Maggu, J. and Majumdar, A. and Chouzenoux, E. and Chierchia, G.},
title = {Deep Convolutional Transform Learning},
booktitle = {Proceedings of ICONIP},
address = {Bangkok, Thailand},
year = {2020},
month = nov,
}
T. X. Nguyen, G. Chierchia, L. Najman, A. Venhola, C. Haigh, R. Peletier, M. H.F. Wilkinson, H. Talbot, B. Perret
CGO: Multiband Astronomical Source Detection with Component-Graphs
Proceedings of ICIP, Abu Dhabi, UAE, October 2020.
bibtex
@InProceedings{Nguyen_icip2020,
author = {T. X. Nguyen and G. Chierchia and L. Najman and A. Venhola and C. Haigh and R. Peletier and M. H.F. Wilkinson and H. Talbot and B. Perret},
title = {CGO: Multiband Astronomical Source Detection with Component-Graphs},
booktitle = {Proceedings of ICIP},
address = {Abu Dhabi, UAE},
year = {2020},
month = oct,
}
P. Gupta, J. Maggu, A. Majumdar, E. Chouzenoux, and G. Chierchia
CONFUSE: Convolutional Transform Learning Fusion Framework For Multi-channel Data Analysis
Proceedings of EUSIPCO, Amsterdam, Netherlands, August 2020.
bibtex
@InProceedings{Gupta_eusipco2020,
author = {P. Gupta and J. Maggu and A. Majumdar and E. Chouzenoux and G. Chierchia},
title = {CONFUSE: Convolutional Transform Learning Fusion Framework For Multi-channel Data Analysis},
booktitle = {Proceedings of EUSIPCO},
address = {Amsterdam, Netherlands},
year = {2020},
month = aug,
}
S. Singh, J. Maggu, A. Majumdar, E. Chouzenoux, and G. Chierchia
Multi-label Consistent Convolutional Transform Learning: Application To Non-intrusive Load Monitoring
Proceedings of ICASSP, Barcelona, Spain, May 2020.
bibtex
@InProceedings{Singh_icassp2020,
author = {S. Singh and J. Maggu and A. Majumdar and E. Chouzenoux and G. Chierchia},
title = {Multi-label Consistent Convolutional Transform Learning: Application To Non-intrusive Load Monitoring},
booktitle = {Proceedings of ICASSP},
address = {Barcelona, Spain},
year = {2020},
month = may,
}
H. Petric Materic, M. El Gheche, G. Chierchia, and P. Frossard
GOT: An Optimal Transport framework for Graph comparison
Advances in Neural Information Processing Systems (NeurIPS), Vancouver, Canada, December 2019.
bibtex
ArXiv
NeurIPS
@incollection{Petric_neurips2019,
author = {Petric Materic, H. and El Gheche, M. and Chierchia, G. and Frossard, P.},
title = {GOT: An Optimal Transport framework for Graph comparison},
booktitle = {Advances in Neural Information Processing Systems 32},
editor = {H. Wallach and H. Larochelle and A. Beygelzimer and F. d\textquotesingle Alch\'{e}-Buc and E. Fox and R. Garnett},
pages = {13876--13887},
publisher = {Curran Associates, Inc.},
year = {2019},
}
G. Chierchia, and B. Perret
Ultrametric Fitting by Gradient Descent
Advances in Neural Information Processing Systems (NeurIPS), Vancouver, Canada, December 2019.
bibtex
ArXiv
NeurIPS
code
@incollection{Chierchia_neurips2019,
author = {Chierchia, G. and Perret, B.},
title = {Ultrametric Fitting by Gradient Descent},
booktitle = {Advances in Neural Information Processing Systems 32},
editor = {H. Wallach and H. Larochelle and A. Beygelzimer and F. d\textquotesingle Alch\'{e}-Buc and E. Fox and R. Garnett},
pages = {3175--3186},
publisher = {Curran Associates, Inc.},
year = {2019},
}
S. B. Luo, K. T. Nguyen, X. D. Jiang, J. F. Wu, B. H. Wen, Y. Zhang, G. Chierchia, H. Talbot, T. Bourouina, D. L. Kwong, A. Q. Liu
A High Performance of Single Cell Imaging Detection with Deep Learning
Proceedings of ICIVC, Xiamen, China, July 2019
bibtex
doi
@InProceedings{Luo2019_icivc,
author = {S. B. {Luo} and K. T. {Nguyen} and X. D. {Jiang} and J. F. {Wu} and B. H. {Wen} and Y. {Zhang}
and G. {Chierchia} and H. {Talbot} and T. {Bourouina} and D. L. {Kwong} and A. Q. {Liu}},
title = {A High Performance of Single Cell Imaging Detection with Deep Learning},
booktitle= {Proceedings of ICIVC},
address = {Xiamen, China},
year = {2019},
pages = {356--360},
month = {July},
}
M. El Gheche, G. Chierchia, and P. Frossard
Stochastic Gradient Descent for Spectral Embedding with Implicit Orthogonality Constraint
Proceedings of ICASSP, Brighton, UK, May 2019
bibtex
pdf
@InProceedings{ElGheche2019_icassp,
author = {El Gheche, M. and Chierchia, G. and Frossard, P.},
title = {Stochastic Gradient Descent for Spectral Embedding with Implicit Orthogonality Constraint},
booktitle = {Proceedings of ICASSP},
address = {Brighton, UK},
year = {2019},
month = may,
}
J. Maggu, E. Chouzenoux, G. Chierchia, and A. Majumdar
Convolutional Transform Learning
Proceedings of ICONIP, Siem Reap, Cambodia, December 2018
bibtex
pdf
doi
@InProceedings{Maggu2018_iconip,
author = {Maggu, J. and Chouzenoux, E. and Chierchia, G. and Majumdar, A.},
title = {Convolutional Transform Learning},
booktitle = {Proceedings of ICONIP},
year = {2018},
address = {Siem Reap, Cambodia},
month = dec,
}
G. Chierchia, D. Cozzolino, G. Poggi, and L. Verdoliva
SAR Image Despeckling Through Convolutional Neural Networks
Proceedings of IGARSS, Forth Worth, TX, USA, July 2017
bibtex
pdf
doi
@InProceedings{Chierchia2017_igarss,
author = {Chierchia, G. and Cozzolino, D. and Poggi, G. and Verdoliva, L.},
title = {{SAR} Image Despeckling Through Convolutional Neural Networks},
booktitle = {Proceedings of IGARSS},
year = {2017},
address = {Forth Worth, TX, USA},
month = jul,
}