Elvin Isufi

Publications

  1. Learning Time-Varying Graphs From Online Data
    Natali, A.; Isufi, E.; Coutino, M.; Leus, G.;
    IEEE Open Journal of Signal Processing,
    Volume 3, pp. 212--228, 2022. DOI: 10.1109/OJSP.2022.3178901

  2. Simplicial Convolutional Neural Networks
    Yang, Maosheng; Isufi, E.; Leus, G.;
    In Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    Singapore, pp. 8847--8851, May 2022. DOI: 10.1109/ICASSP43922.2022.9746017

  3. Node-Adaptive Regularization for Graph Signal Reconstruction
    Yang, Maosheng; Coutino, M.; Leus, G.; Isufi, E.;
    IEEE Open Journal of Signal Processing,
    Volume 2, pp. 85--98, 2021. DOI: 10.1109/OJSP.2021.3056897

  4. Online Graph Learning From Time-Varying Structural Equation Models
    Natali, A.; Isufi, E.; Coutino, M.; Leus, G.;
    In Proc. of Asilomar Conference on Signals, Systems, and Computers (Asilomar),
    Monterey, California, USA, pp. 1579--1585, October 2021. DOI: 10.1109/IEEECONF53345.2021.9723163

  5. Finite Impulse Response Filters for Simplicial Complexes
    Yang, Maosheng; Isufi, E.; Schaub, M.T.; Leus, G.;
    In Proc. of European Signal Processing Conference (EUSIPCO),
    Dublin, Ireland, pp. 2005--2009, August 2021. DOI: 10.23919/EUSIPCO54536.2021.9616185

  6. Topological Volterra Filters
    Leus, G.; Yang, Maosheng; Coutino, M.; Isufi, E.;
    In Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    Toronto, Ontario, Canada, pp. 5385--5399, June 2021. DOI: 10.1109/ICASSP39728.2021.9414275

  7. Online Time-Varying Topology Identification Via Prediction-Correction Algorithms
    Natali, A.; Coutino, M.; Isufi, E.; Leus, G.;
    In Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    Rio de Janeiro, Brazil, pp. 5400--5404, July 2021. DOI: 10.1109/ICASSP39728.2021.9415053

  8. Graph-Time Spectral Analysis for Atrial Fibrillation
    Miao Sun; Elvin Isufi; Natasja M.S. de Groot; Richard C. Hendriks;
    Biomedical Signal Processing and Control,
    Volume 59, May 2020. DOI: https://doi.org/10.1016/j.bspc.2020.101915
    document

  9. Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks
    F. Gama; E. Isufi; G. Leus; A. Ribeiro;
    IEEE Signal Processing Magazine,
    Volume 37, Issue 6, pp. 128-138, 2020. DOI: 10.1109/MSP.2020.3016143
    document

  10. State-Space Network Topology Identification From Partial Observations
    M. Coutino; E. Isufi; T. Maehara; G. Leus;
    IEEE Transactions on Signal and Information Processing over Networks,
    Volume 6, pp. 211-225, 2020. DOI: 10.1109/TSIPN.2020.2975393
    document

  11. Observing and Tracking Bandlimited Graph Processes from Sampled Measurements
    E. Isufi; P. Banelli; P. Di Lorenzo; G. Leus;
    Signal Processing,
    Volume 177, pp. 107749, December 2020.

  12. Node varying regularization for graph signals
    Maosheng Yang; M. Coutino; E. Isufi; G. Leus;
    In 29th European Signal Processing Conference (EUSIPCO 2020),
    Amsterdam (Netherlands), EURASIP, pp. 845-849, August 2020.
    document

  13. State-space based network topology identification
    M. Coutino; E. Isufi; T. Maehara; G. Leus;
    In 29th European Signal Processing Conference (EUSIPCO 2020),
    Amsterdam (Netherlands), EURASIP, pp. 1055-1059, August 2020.
    document

  14. Forecasting multi-dimensional processes over graphs
    Alberto Natali; Elvin Isufi; Geert Leus;
    In Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),
    Barcelona (Spain), May 2020. DOI: 10.1109/ICASSP40776.2020.9053522
    document

  15. Active Semi-Supervised Learning for Diffusions on Graphs
    B. Das; E. Isufi; G. Leus;
    In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    pp. 9075-9079, 2020. DOI: 10.1109/ICASSP40776.2020.9054300
    document

  16. Advances in Distributed Graph Filtering
    M. Coutino; E. Isufi; G. Leus;
    IEEE Tr. Signal Processing,
    Volume 67, Issue 9, pp. 2320-2333, May 2019. DOI: 10.1109/TSP.2019.2904925
    document

  17. Filter Design for Autoregressive Moving Average Graph Filters
    Jiani Liu; E. Isufi; G. Leus;
    IEEE Transactions on Signal and Information Processing over Networks,
    Volume 5, Issue 1, pp. 47-60, March 2019. DOI: 10.1109/TSIPN.2018.2854627
    document

  18. Controllability of Bandlimited Graph Processes Over Random Time Varying Graphs
    F. Gama; E. Isufi; A. Ribeiro; G. Leus;
    IEEE Trans. on Signal Processing,
    Volume 67, Issue 24, pp. 6440--6454, December 2019. DOI: 10.1109/TSP.2019.2952053

  19. Forecasting Time Series With VARMA Recursions on Graphs
    E. Isufi; A. Loukas; N. Perraudin; G. Leus;
    IEEE Trans. on Signal Processing,
    Volume 67, Issue 18, pp. 4870--4885, September 2019. DOI: 10.1109/TSP.2019.2929930

  20. A Graph Signal Processing Framework for Atrial Activity Extraction
    Miao Sun; Elvin Isufi; M.S de Groot; Richard C. Hendriks;
    In 27th European Signal Processing Conference (EUSIPCO 2019),
    2019.
    document

  21. Design Strategies for Sparse Control of Random Time-Varying Networks
    M. Coutino; E. Isufi; F. Gama; A. Ribeiro; G. Leus;
    In Proc. of Asilomar Conf. on Signals, Systems, and Computers (Asilomar),
    Pacific Grove, California, USA, pp. 184--188, November 2019. DOI: 10.1109/IEEECONF44664.2019.9049024

  22. Graph-time signal processing
    E. Isufi;
    PhD thesis, TU Delft, Fac. EEMCS, January 2019. ISBN: 978-94-028-1353-1. DOI: 10.4233/uuid:e52cc182-457c-4687-baee-d0f72af36950
    document

  23. Filter design for autoregressive moving average graph filters
    Jiani Liu; E. Isufi; G. Leus;
    IEEE Transactions on Signal and Information Processing over Networks,
    2018. ISSN: 2373-776X. DOI: 10.1109/TSIPN.2018.2854627
    document

  24. Adaptive Graph Signal Processing: Algorithms and Optimal Sampling Strategies
    P. Di Lorenzo; P. Banelli; E. Isufi; S. Barbarossa; G. Leus;
    IEEE Transactions on Signal Processing,
    Volume 66, Issue 13, pp. 3584-3598, July 2018. ISSN: 1053-587X. DOI: 10.1109/TSP.2018.2835384
    document

  25. Blind Graph Topology Change Detection
    E. Isufi; A. S. U. Mahabir; G. Leus;
    IEEE Signal Processing Letters,
    Volume 25, Issue 5, pp. 655-659, May 2018. ISSN: 1070-9908. DOI: 10.1109/LSP.2018.2819127
    document

  26. Control of graph signals over random time-varying graphs
    F. Gama; E. Isufi; G. Leus; A. Ribeiro;
    In 2018 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP),
    Calgary (Canada), IEEE, pp. 4169-4173, April 2018. ISSN: 2379-190X. DOI: 10.1109/ICASSP.2018.8462381
    document

  27. Edge-Variant Graph Filters
    G. Leus; M. Coutino; E. Isufi;
    In Graph Signal Processing Workshop (GSP18),
    Lausanne (CH), IEEE, June 2018.

  28. Observing Bandlimited Graph Processes
    E. Isufi; G. Leus; P. Banelli; P. Di Lorenzo;
    In Graph Signal Processing Workshop (GSP18),
    Lausanne (CH), June 2018.

  29. Blind Graph Topology Change Detection
    E. Isufi; G. Leus;
    In Graph Signal Processing Workshop (GSP18),
    Lausanne (CH), June 2018.

  30. Distributed Wiener-Based Reconstruction of Graph Signals
    E. Isufi; P. Di Lorenzo; P. Banelli; G. Leus;
    In 2018 IEEE Statistical Signal Processing Workshop (SSP),
    pp. 21-25, June 2018. DOI: 10.1109/SSP.2018.8450828
    document

  31. Observing Bandlimited Graph Processes from Subsampled Measurements
    E. Isufi; P. Banelli; P. Di Lorenzo; G. Leus;
    In 52nd Asilomar Conference on Signals, Systems and Computers,
    IEEE, November 2018.

  32. On the Limits of Finite-Time Distributed Consensus through Successive Local Linear Operations
    M. Coutino; E. Isufi; G. Leus;
    In 52nd Asilomar Conference on Signals, Systems and Computers,
    IEEE, November 2018.

  33. Autoregressive Moving Average Graph Filtering
    E. Isufi; A. Loukas; A. Simonetto; G. Leus;
    IEEE Trans. Signal Processing,
    Volume 65, Issue 2, pp. 274-288, January 2017. DOI: 10.1109/TSP.2016.2614793
    document

  34. Filtering Random Graph Processes Over Random Time-Varying Graphs
    E. Isufi; A. Loukas; A. Simonetto; G. Leus;
    IEEE Transactions on Signal Processing,
    Volume 65, Issue 16, pp. 4406-4421, August 2017. ISSN: 1053-587X. DOI: 10.1109/TSP.2017.2706186
    document

  35. Autoregressive moving average graph filters--a stable distributed implementation
    E. Isufi; A. Loukas; G. Leus;
    In Int. Conf. Audio Speech Signal Proc. (ICASSP),
    New Orleans (USA), IEEE, pp. 4119-4123, March 2017. DOI: 10.1109/ICASSP.2017.7952931
    document

  36. Distributed sparsified graph filters for denoising and diffusion tasks
    E. Isufi; G. Leus;
    In Int. Conf. Audio Speech Signal Proc. (ICASSP),
    New Orleans (USA), IEEE, pp. 5865-5869, March 2017. DOI: 10.1109/ICASSP.2017.7953281
    document

  37. Distributed Recursive Least Squares Strategies for Adaptive Reconstruction of Graph Signals
    P. Di Lorenzo; E. Isufi; P. Banelli; S. Barbarossa; G. Leus;
    In 25th European Signal Processing Conference (EUSIPCO 2017),
    Kos (Greece), EURASIP, pp. 2353-2357, August 2017. ISBN 978-0-9928626-7-1. DOI: 10.23919/EUSIPCO.2017.8081618
    document

  38. Autoregressive moving average graph filter design
    Jiani Liu; E. Isufi; G. Leus;
    In 2017 5th IEEE Global Conference on Signal and Information Processing (GlobalSIP),
    Montreal, Canada, IEEE, pp. 593-597, November 2017.
    document

  39. Distributed Edge-Variant Graph Filters
    M. Coutino; E. Isufi; G. Leus;
    In 2017 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP),
    Curacao, IEEE, December 2017. ISBN 978-1-5386-1250-7.

  40. Advanced flooding-based routing protocols for underwater sensor networks
    E. Isufi; H. Dol; G. Leus;
    EURASIP Journal on Advances in Signal Processing,
    Volume 2016:52, Issue 1, pp. 1-12, January 2016. DOI: 10.1186/s13634-016-0346-y
    document

  41. Separable Autoregressive Moving Average Graph-Temporal Filters
    E. Isufi; A. Loukas; A. Simonetto; G. Leus;
    In EUSIPCO,
    Budapest (Hungary), August 2016.
    document

  42. 2-Dimensional Finite Impulse Response Graph-Temporal Filters
    E. Isufi; G. Leus; P. Banelli;
    In IEEE Global Conference on Signal and Information Processing (GlobalSIP),
    Washington DC, USA, IEEE, December 2016.
    document

  43. Autoregressive Moving Average Graph Filter Design
    Jiani Liu; E. Isufi; G. Leus;
    In 6th Joint WIC/IEEE Symposium on Information Theory and Signal Processing in the Benelux,
    IEEE, 2016.
    document

  44. Stochastic Signal Processing on Time-Varying Graphs
    E. Isufi; A. Simonetto; A. Loukas; G. Leus;
    In Proc. of the IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2015),
    Cancun, Mexico, December 2015.
    document
    Extended version

  45. Network Coding for Flooding-Based Routing in Underwater Sensor Networks
    E. Isufi; G. Leus; H. Dol;
    In Proceedings of the International Conference on Underwater Networks and Systems (WUWNET'14),
    Rome, Italy, ACM, November 2014. ISBN 978-1-4503-3277-4. DOI: 10.1145/2671490.2674570
    document

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