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Dorina Thanou
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2020 – today
- 2024
- [i16]Manuel Madeira, Clément Vignac, Dorina Thanou, Pascal Frossard:
Generative Modelling of Structurally Constrained Graphs. CoRR abs/2406.17341 (2024) - 2023
- [j14]Sara Mohammadi
, Massoud Babaie-Zadeh
, Dorina Thanou
:
Graph Signal Separation Based on Smoothness or Sparsity in the Frequency Domain. IEEE Trans. Signal Inf. Process. over Networks 9: 152-161 (2023) - [c19]Manuel Madeira
, Dorina Thanou
, Pascal Frossard
:
Tertiary Lymphoid Structures Generation Through Graph-Based Diffusion. GRAIL/OCELOT@MICCAI 2023: 37-53 - [i15]Manuel Madeira, Dorina Thanou, Pascal Frossard:
Tertiary Lymphoid Structures Generation through Graph-based Diffusion. CoRR abs/2310.06661 (2023) - 2022
- [j13]Jhony H. Giraldo
, Arif Mahmood
, Belmar García García, Dorina Thanou
, Thierry Bouwmans
:
Reconstruction of Time-Varying Graph Signals via Sobolev Smoothness. IEEE Trans. Signal Inf. Process. over Networks 8: 201-214 (2022) - 2021
- [j12]Sarah Itani, Dorina Thanou
:
Combining anatomical and functional networks for neuropathology identification: A case study on autism spectrum disorder. Medical Image Anal. 69: 101986 (2021) - [j11]Effrosyni Simou
, Dorina Thanou
, Pascal Frossard
:
node2coords: Graph Representation Learning with Wasserstein Barycenters. IEEE Trans. Signal Inf. Process. over Networks 7: 17-29 (2021) - [c18]Henry Kenlay, Dorina Thanou, Xiaowen Dong:
On The Stability of Graph Convolutional Neural Networks Under Edge Rewiring. ICASSP 2021: 8513-8517 - [c17]Henry Kenlay, Dorina Thanou, Xiaowen Dong:
Interpretable Stability Bounds for Spectral Graph Filters. ICML 2021: 5388-5397 - [i14]Henry Kenlay, Dorina Thanou, Xiaowen Dong:
Interpretable Stability Bounds for Spectral Graph Filters. CoRR abs/2102.09587 (2021) - 2020
- [j10]Xiaowen Dong
, Dorina Thanou
, Laura Toni
, Michael M. Bronstein, Pascal Frossard
:
Graph Signal Processing for Machine Learning: A Review and New Perspectives. IEEE Signal Process. Mag. 37(6): 117-127 (2020) - [j9]Giulia Fracastoro
, Dorina Thanou
, Pascal Frossard
:
Graph Transform Optimization With Application to Image Compression. IEEE Trans. Image Process. 29: 419-432 (2020) - [j8]Eda Bayram
, Dorina Thanou
, Elif Vural
, Pascal Frossard
:
Mask Combination of Multi-Layer Graphs for Global Structure Inference. IEEE Trans. Signal Inf. Process. over Networks 6: 394-406 (2020) - [c16]Sarah Itani, Dorina Thanou:
A Graph Signal Processing Framework for the Classification of Temporal Brain Data. EUSIPCO 2020: 1180-1184 - [c15]Can Yilmaz Altinigne, Dorina Thanou, Radhakrishna Achanta:
Height and Weight Estimation from Unconstrained Images. ICASSP 2020: 2298-2302 - [c14]Henry Kenlay, Dorina Thanou, Xiaowen Dong:
On The Stability of Polynomial Spectral Graph Filters. ICASSP 2020: 5350-5354 - [i13]Effrosyni Simou, Dorina Thanou, Pascal Frossard:
node2coords: Graph Representation Learning with Wasserstein Barycenters. CoRR abs/2007.16056 (2020) - [i12]Xiaowen Dong, Dorina Thanou, Laura Toni, Michael M. Bronstein, Pascal Frossard:
Graph signal processing for machine learning: A review and new perspectives. CoRR abs/2007.16061 (2020) - [i11]Henry Kenlay, Dorina Thanou, Xiaowen Dong:
On the Stability of Graph Convolutional Neural Networks under Edge Rewiring. CoRR abs/2010.13747 (2020)
2010 – 2019
- 2019
- [j7]Xiaowen Dong
, Dorina Thanou
, Michael G. Rabbat
, Pascal Frossard
:
Learning Graphs From Data: A Signal Representation Perspective. IEEE Signal Process. Mag. 36(3): 44-63 (2019) - [i10]Sarah Itani, Dorina Thanou:
Combining Anatomical and Functional Networks for Neuropathology Identification: A Case Study on Autism Spectrum Disorder. CoRR abs/1904.11296 (2019) - [i9]Eda Bayram, Dorina Thanou, Elif Vural, Pascal Frossard:
Mask Combination of Multi-layer Graphs for Global Structure Inference. CoRR abs/1910.10114 (2019) - 2018
- [j6]Dorina Thanou
, Pascal Frossard:
Learning of robust spectral graph dictionaries for distributed processing. EURASIP J. Adv. Signal Process. 2018: 67 (2018) - [i8]Xiaowen Dong, Dorina Thanou, Michael G. Rabbat, Pascal Frossard:
Learning Graphs from Data: A Signal Representation Perspective. CoRR abs/1806.00848 (2018) - 2017
- [j5]Dorina Thanou, Xiaowen Dong, Daniel Kressner, Pascal Frossard:
Learning Heat Diffusion Graphs. IEEE Trans. Signal Inf. Process. over Networks 3(3): 484-499 (2017) - [c13]Shuyu Dong, Dorina Thanou, Pierre-Antoine Absil, Pascal Frossard:
Learning sparse models of diffusive graph signals. ESANN 2017 - [c12]Vassilis Kalofolias, Andreas Loukas, Dorina Thanou, Pascal Frossard:
Learning time varying graphs. ICASSP 2017: 2826-2830 - [c11]Hermina Petric Maretic, Dorina Thanou, Pascal Frossard:
Graph learning under sparsity priors. ICASSP 2017: 6523-6527 - [i7]Hermina Petric Maretic, Dorina Thanou, Pascal Frossard:
Graph learning under sparsity priors. CoRR abs/1707.05587 (2017) - [i6]Giulia Fracastoro, Dorina Thanou, Pascal Frossard:
Graph-based Transform Coding with Application to Image Compression. CoRR abs/1712.06393 (2017) - 2016
- [j4]Dorina Thanou
, Philip A. Chou, Pascal Frossard:
Graph-Based Compression of Dynamic 3D Point Cloud Sequences. IEEE Trans. Image Process. 25(4): 1765-1778 (2016) - [j3]Xiaowen Dong
, Dorina Thanou, Pascal Frossard, Pierre Vandergheynst:
Learning Laplacian Matrix in Smooth Graph Signal Representations. IEEE Trans. Signal Process. 64(23): 6160-6173 (2016) - [c10]Giulia Fracastoro, Dorina Thanou, Pascal Frossard:
Graph transform learning for image compression. PCS 2016: 1-5 - [i5]Dorina Thanou, Xiaowen Dong, Daniel Kressner, Pascal Frossard:
Learning heat diffusion graphs. CoRR abs/1611.01456 (2016) - 2015
- [c9]Dorina Thanou, Pascal Frossard:
Distributed signal processing with graph spectral dictionaries. Allerton 2015: 1391-1398 - [c8]Dorina Thanou, Pascal Frossard:
Multi-graph learning of spectral graph dictionaries. ICASSP 2015: 3397-3401 - [c7]Xiaowen Dong, Dorina Thanou, Pascal Frossard, Pierre Vandergheynst:
Laplacian matrix learning for smooth graph signal representation. ICASSP 2015: 3736-3740 - [c6]Dorina Thanou, Philip A. Chou, Pascal Frossard:
Graph-based motion estimation and compensation for dynamic 3D point cloud compression. ICIP 2015: 3235-3239 - [i4]Dorina Thanou, Philip A. Chou, Pascal Frossard:
Graph-based compression of dynamic 3D point cloud sequences. CoRR abs/1506.06096 (2015) - 2014
- [j2]Dorina Thanou, David I. Shuman
, Pascal Frossard:
Learning Parametric Dictionaries for Signals on Graphs. IEEE Trans. Signal Process. 62(15): 3849-3862 (2014) - [i3]Dorina Thanou, David I. Shuman, Pascal Frossard:
Learning parametric dictionaries for graph signals. CoRR abs/1401.0887 (2014) - [i2]Xiaowen Dong, Dorina Thanou, Pascal Frossard, Pierre Vandergheynst:
Learning Graphs from Signal Observations under Smoothness Prior. CoRR abs/1406.7842 (2014) - 2013
- [j1]Dorina Thanou, Effrosini Kokiopoulou, Ye Pu, Pascal Frossard:
Distributed Average Consensus With Quantization Refinement. IEEE Trans. Signal Process. 61(1): 194-205 (2013) - [c5]Dorina Thanou, David I. Shuman
, Pascal Frossard:
Parametric dictionary learning for graph signals. GlobalSIP 2013: 487-490 - 2012
- [c4]Dorina Thanou, Effrosini Kokiopoulou, Pascal Frossard:
Progressive quantization in distributed average consensus. ICASSP 2012: 2677-2680 - 2011
- [c3]Dorina Thanou, Pascal Frossard:
Compressed classification of observation sets with linear subspace embeddings. ICASSP 2011: 1353-1356 - [i1]Dorina Thanou, Effrosini Kokiopoulou, Pascal Frossard:
Progressive quantization in distributed average consensus. CoRR abs/1105.1074 (2011) - 2010
- [c2]Dorina Thanou, Hyunggon Park, Effrosini Kokiopoulou, Pascal Fwssarr:
Polynomial filter design for quantized consensus. EUSIPCO 2010: 184-188 - [c1]Eleni Fotopoulou, Dorina Thanou, Thanos Stouraitis
:
Comparison of time and frequency domain interpolation implementations for MB-OFDM UWB transmitters. ISCAS 2010: 2143-2146
Coauthor Index
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