Dorina Thanou
+41 21 693 75 91
EPFL
>
VPA
>
VPA-AVP-CP
>
CIS
>
CIS-GE
Web site: Web site: https://www.epfl.ch/research/domains/cis
+41 21 693 75 91
EPFL
>
STI
>
IEM
>
LTS4
Web site: Web site: https://lts4www.epfl.ch/
+41 21 693 75 91
EPFL
>
IC
>
IINFCOM
>
MDS2
+41 21 693 75 91
EPFL
>
SB
>
MATH
>
MDS1
Web site: Web site: https://mds.epfl.ch/
+41 21 693 75 91
EPFL
>
STI
>
STI-SEL
>
SEL-ENS
Fields of expertise
Biography
My research interests include graph-based signal processing for data representation and analysis, as well as machine learning, with a particular focus on the design of interpretable models for personalized medicine.
Honors and Awards
2) Top 10% Paper Award, IEEE International Conference in Image Processing (ICIP), September 2015
3) Best Paper Award, Picture Coding Symposium (PCS), December 2016
Publications
Infoscience publications
Publications
Journal Articles
Combining anatomical and functional networks for neuropathology identification: A case study on autism spectrum disorder
Medical Image Analysis. 2021-04-01. DOI : 10.1016/j.media.2021.101986.node2coords: Graph Representation Learning with Wasserstein Barycenters
Ieee Transactions On Signal And Information Processing Over Networks. 2021-01-01. DOI : 10.1109/TSIPN.2020.3041940.Graph Signal Processing for Machine Learning: A Review and New Perspectives
Ieee Signal Processing Magazine. 2020-11-01. DOI : 10.1109/MSP.2020.3014591.Mask Combination of Multi-Layer Graphs for Global Structure Inference
Ieee Transactions On Signal And Information Processing Over Networks. 2020-01-01. DOI : 10.1109/TSIPN.2020.2995515.Learning Graphs From Data: A Signal Representation Perspective
IEEE Signal Processing Magazine. 2019-05-01. DOI : 10.1109/MSP.2018.2887284.Graph-based Transform Coding with Application to Image Compression
IEEE Transactions on Image Processing. 2019. DOI : 10.1109/TIP.2019.2932853.Learning of robust spectral graph dictionaries for distributed processing
Eurasip Journal On Advances In Signal Processing. 2018-10-24. DOI : 10.1186/s13634-018-0584-2.Learning heat diffusion graphs
IEEE Transactions on Signal and Information Processing over Networks. 2017. DOI : 10.1109/Tsipn.2017.2731164.Graph-based compression of dynamic 3D point cloud sequences
IEEE Transactions on Image Processing. 2016. DOI : 10.1109/Tip.2016.2529506.Learning Laplacian Matrix in Smooth Graph Signal Representations
IEEE Transactions on Signal Processing. 2016. DOI : 10.1109/TSP.2016.2602809.Learning Parametric Dictionaries for Signals on Graphs
IEEE Transactions on Signal Processing. 2014. DOI : 10.1109/Tsp.2014.2332441.Distributed average consensus with quantization refinement
IEEE Transactions on Signal Processing. 2013. DOI : 10.1109/Tsp.2012.2223692.Conference Papers
A Graph Signal Processing Framework for the Classification of Temporal Brain Data
2020-01-01. 28th European Signal Processing Conference (EUSIPCO), ELECTR NETWORK, Jan 18-22, 2021. p. 1180-1184. DOI : 10.23919/Eusipco47968.2020.9287486.Height And Weight Estimation From Unconstrained Images
2020-01-01. IEEE International Conference on Acoustics, Speech, and Signal Processing, Barcelona, SPAIN, May 04-08, 2020. p. 2298-2302. DOI : 10.1109/ICASSP40776.2020.9053363.Learning sparse models of diffusive graph signals
2017. ESANN, April.Graph learning under sparsity priors
2017. International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, USA, March 5-9, 2017. p. 6523-6527. DOI : 10.1109/ICASSP.2017.7953413.Learning time varying graphs
2017. International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, USA. p. 2826-2830. DOI : 10.1109/ICASSP.2017.7952672.Graph Transform Learning for Image Compression
2016. Picture Coding Symposium (PCS), Nuremberg, Germany.Distributed Signal Processing with Graph Spectral Dictionaries
2015. Allerton Conference on Communication, Control, and Computing.Graph-based motion estimation and compression for dynamic 3D point cloud compression
2015. IEEE International Conference on Image Processing (ICIP), Quebec city, Canada, September, 2015. p. 3235-3239. DOI : 10.1109/ICIP.2015.7351401.Multi-Graph Learning of Spectral Graph Dictionaries
2015. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, April, 2015. p. 3397-3401. DOI : 10.1109/ICASSP.2015.7178601.Laplacian Matrix Learning for Smooth Graph Signal Representation
2015. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, April, 2015. p. 3736-3740. DOI : 10.1109/ICASSP.2015.7178669.Parametric dictionary learning for graph signals
2013. IEEE Global Conference on Signal and Information Processing (GlobalSIP), Austin, Texas, December, 2013.Progressive quantization in distributed average consensus
2012. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan, March, 2012.Compressed classification of observation sets with linear subspace embeddings
2011. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Prague, Czech Republic, May 22-27, 2011. p. 1353-1356.Comparison of time and frequency domain interpolation implementations for MB-OFDM UWB transmitters
2010. 2010 IEEE International Symposium on Circuits and Systems (ISCAS 2010), Paris, France, May 30 -June 2 2010.Polynomial Filter Design for Quantized Consensus
2010. European Signal Processing Conference (EUSIPCO), Aalborg, Denmark, August 23-27, 2010.Theses
Graph Signal Processing
Lausanne, EPFL, 2016. DOI : 10.5075/epfl-thesis-6925.Reports
Functionalized nanofiber-enhanced filter media for fine particles and heavy metals removal in flue gases
2015Progressive quantization in distributed average consensus
2011Patents
Methods and apparatuses for encoding and decoding digital images or video streams
CN110024391 ; EP3549344 ; US2020228840 ; EP3549344 ; CN110024391 ; WO2018100503 ; IT201600122898 . 2018.Student Projects
Biofuels vs food
2008Teaching & PhD
Teaching
Electrical and Electronics Engineering