Publications

In the publications marked with *, authors are ordered alphabetically.

Journal Papers

  1. Y. Zhu, M. T. Schaub, A. Jadbabaie and S. Segarra, Network Inference from Consensus Dynamics with Unknown Parameters, IEEE Trans. Signal and Info. Process. over Networks, vol. (under review), 2019.
  2. M. T. Schaub, S. Segarra and J. N. Tsitsiklis, Blind Identification of Stochastic Block Models from Dynamical Observations, SIAM J. Math. Data Science (SIMODS), vol. (under review), 2019.
  3. H. T. Wai, S. Segarra, A. E. Ozdaglar, A. Scaglione and A. Jadbabaie, Blind Community Detection from Low-rank Excitations of a Graph Filter, IEEE Trans. Signal Process., vol. (under review), 2019.
  4. Y. Wang, S. Segarra and C. Uhler, High-Dimensional Joint Estimation of Multiple Directed Gaussian Graphical Models, Electronic J. Stat., vol. (under review), 2019.
  5. R. Shafipour, S. Segarra, A. G. Marques and G. Mateos, Identifying the Topology of Undirected Networks from Diffused Non-stationary Graph Signals, IEEE Trans. Signal Process., vol. (under review), 2019.
  6. S. Segarra, R. Nielsen and A. Jadbabaie, What Makes a Jihadist Text Popular?, Science Advances, vol. (under review), 2019.
  7. G. Leus, S. Segarra, A. Ribeiro and A. G. Marques, The Dual Graph Shift Operator: Identifying the Support of the Frequency Domain, IEEE Signal Process. Letters, vol. (under review), 2019.
  8. *G. Carlsson, F. Memoli, A. Ribeiro and S. SegarraExcisive Hierarchical Clustering Methods for Network Data, IEEE Trans. Signal Process., vol. (under review), 2019.
  9. S. Segarra, G. Carlsson, F. Memoli and A. Ribeiro, Metric Representations of Network Data, IEEE Trans. Signal Process., vol. (under review), 2019.
  10. *M. Avella-Medina, F. Parise, M. T. Schaub and S. SegarraCentrality Measures for Graphons: Accounting for Uncertainty in Networks, IEEE Trans. Network Science and Eng., vol. (accepted), 2019.
  11. G. Mateos, S. Segarra, A. G. Marques and A. Ribeiro, Connecting the Dots: Identifying Network Structure via Graph Signal Processing, IEEE Signal Process. Magazine, vol. 36, no. 3, pp. 16-43, May 2019. Arxiv Preprint
  12. M. Eisen, A. Ribeiro, S. Segarra and G. Egan, Stylometric analysis of Early Modern period English plays, Digital Scholarship in the Humanities, vol. 33, no. 3, pp. 500-528, Sept. 2018. Arxiv Preprint
  13. F. Gama, S. Segarra and A. Ribeiro, Hierarchical Overlapping Clustering of Network Data Using Cut Metrics, IEEE Trans. Signal and Info. Process. over Networks, vol. 4, no. 2, pp. 392-406, June 2018. Arxiv Preprint
  14. *G. Carlsson, F. Memoli, A. Ribeiro and S. SegarraHierarchical Clustering of Asymmetric Networks, Advances in Data Analysis and Classification, vol. 12, no. 1, pp. 65-105, Mar. 2018. Arxiv Preprint
  15. *G. Carlsson, F. Memoli, A. Ribeiro and S. SegarraAdmissible Hierarchical Clustering Methods and Algorithms for Asymmetric Networks, IEEE Trans. Signal and Info. Process. over Networks, vol. 3, no. 4, pp. 711-727, Dec. 2017. Arxiv Preprint
  16. A. G. Marques, S. Segarra, G. Leus and A. Ribeiro, Stationary Graph Processes and Spectral Estimation, IEEE Trans. Signal Process., vol. 65, no. 22, pp. 5911-5926, Nov. 2017. Arxiv Preprint
  17. J. D. Medaglia, W. Huang, S. Segarra, C. Olm, J. Gee, M. Grossman, A. Ribeiro, C. T. McMillan and D. S. Bassett, Brain Network Efficiency is Influenced by Pathological Source of Corticobasal Syndrome, Neurology, vol. 89, no. 13, pp 1373-1381, Sept. 2017.
  18. S. Segarra, A. G. Marques, G. Mateos and A. Ribeiro, Network Topology Inference from Spectral Templates, IEEE Trans. Signal and Info. Process. over Networks, vol. 3, no. 3, pp. 467-483, Sept. 2017. Arxiv Preprint
  19. S. Segarra, A. G. Marques and A. Ribeiro, Optimal Graph-Filter Design and Applications to Distributed Linear Network Operators, IEEE Trans. Signal Process., vol. 65, no. 15, pp. 4117-4131, Aug. 2017. [corresponds to Arxiv preprint Distributed Linear Network Operators using Graph Filters]
  20. S. Segarra, G. Mateos, A. G. Marques and A. Ribeiro, Blind Identification of Graph Filters, IEEE Trans. Signal Process., vol. 65, no. 5, pp. 1146-1159, March 2017. Arxiv Preprint
  21. S. Segarra, M. Eisen, G. Egan and A. Ribeiro, Attributing the Authorship of the Henry VI Plays by Word Adjacency, Shakespeare Quarterly, vol. 67 no. 2, pp. 232-256, 2016.
  22. S. Segarra, A. G. Marques, G. Leus and A. Ribeiro, Reconstruction of Graph Signals through Percolation from Seeding Nodes, IEEE Trans. Signal Process., vol. 64, no. 16, pp. 4363 – 4378, Aug. 2016. Arxiv Preprint
  23. A. G. Marques, S. Segarra, G. Leus and A. Ribeiro, Sampling of Graph Signals with Successive Local Aggregations, IEEE Trans. Signal Process., vol. 64, no. 7, pp. 1832 – 1843, Apr. 2016. Arxiv Preprint
  24. S. Segarra and A. Ribeiro, Stability and Continuity of Centrality Measures in Weighted Graphs, IEEE Trans. Signal Process., vol. 64, no. 3, pp. 543-555, Feb., 2016. Arxiv Preprint
  25. S. Segarra, M. Eisen and A. Ribeiro, Authorship Attribution through Function Word Adjacency Networks, IEEE Trans. Signal Process., vol. 63, no. 20, pp. 5464-5478, Oct., 2015. Arxiv Preprint
  26. S. Segarra, W. Huang and A. Ribeiro, Diffusion and Superposition Distances for Signals Supported on Networks, IEEE Trans. Signal and Info. Process. over Networks, vol. 1, no. 1, pp. 20-32, March, 2015. Arxiv Preprint

Conference Papers

  1. S. Rey, A. G. Marques and S. Segarra, An Underparametrized Deep Decoder Architecture for Graph Signals, IEEE Intl. Wrksp. on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), pp. (submitted), Guadaloupe, West Indies, December 15-18, 2019.
  2. J. Jia, M. T. Schaub, S. Segarra and A. R. Benson, Graph-based Semi-supervised & Active Learning for Edge Flows, ACM SIGKDD Conf. Knowledge Disc. and Data Min. (KDD), Anchorage, AK, August 4-8, 2019.
  3. *M. T. Schaub, S. Segarra and H.T. Wai, Spectral Partitioning of Time-Varying Networks with Unobserved Edges, IEEE Intl. Conf. Acoust., Speech and Signal Process. (ICASSP), pp. 4938-4942, Brighton, UK, May 12-17, 2019. Arxiv Preprint
  4. Y. Zhu, F. J. Iglesias, A. G. Marques and S. Segarra, Estimation of Network Processes via Blind Graph Multi-Filter Identification, IEEE Intl. Conf. Acoust., Speech and Signal Process. (ICASSP), pp. 5451-5455, Brighton, UK, May 12-17, 2019.
  5. M. T. Schaub and S. Segarra, Flow Smoothing and Denoising: Graph Signal Processing in the Edge-Space, IEEE Global Conf. Signal and Info. Process. (GlobalSIP), pp. 735-739, Anaheim, CA, November 29-29, 2018. Arxiv Preprint
  6. J. Yang and S. Segarra, Enhancing Geometric Deep Learning via Graph Filter Deconvolution, IEEE Global Conf. Signal and Info. Process. (GlobalSIP), pp. 758-762, Anaheim, CA, November 26-29, 2018. Arxiv Preprint
  7. S. Segarra, A. G. Marques, M. Goyal and S. Rey, Network Topology Inference from Input-Output Diffusion Pairs, IEEE Statistical Signal Processing Workshop, pp. 508-512, Freiburg im Breisgau, Germany, June 10-13, 2018.
  8. R. Shafipour, S. Segarra, A. G. Marques and G. Mateos, Directed Network Topology Inference via Graph Filter Identification, IEEE Data Science Workshop, pp. 210-214, Lausanne, Switzerland, June 4-6, 2018.
  9. H. T. Wai, S. Segarra, A. E. Ozdaglar, A. Scaglione and A. Jadbabaie, Community Detection from Low-rank Excitations of Graph Filters, IEEE Intl. Conf. Acoust., Speech and Signal Process. (ICASSP), pp. 4044-4048, Calgary, Canada, April 15-20, 2018. Best Student Paper Award.
  10. R. Shafipour, S. Segarra, A. G. Marques and G. Mateos, Identifying Undirected Network Structure via Semidefinite Relaxation, IEEE Intl. Conf. Acoust., Speech and Signal Process. (ICASSP), pp. 4049-4053, Calgary, Canada, April 15-20, 2018.
  11. F. J. Iglesias, S. Segarra, S. Rey, A. G. Marques and D. Ramirez, Demixing and Blind Deconvolution of Graph-diffused Sparse Signals, IEEE Intl. Conf. Acoust., Speech and Signal Process. (ICASSP), pp. 4189-4193, Calgary, Canada, April 15-20, 2018.
  12. S. Segarra, M. T. Schaub and A. Jadbabaie, Network Inference from Consensus Dynamics, IEEE Conf. on Decision and Control, pp. 3212-3217, Melbourne, Australia, December 12-15, 2017. Arxiv Preprint
  13. S. Segarra, A. G. Marques, G. Arce and A. Ribeiro, Design of Weighted Median Graph Filters, IEEE Intl. Wrksp. on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), pp. 1-5, Curaçao, Dutch Antilles, December 10-13, 2017.
  14. S. Segarra, Y. Wang, C. Uhler and A. G. Marques, Joint Inference of Networks from Stationary Graph Signals, Asilomar Conference on signals, systems, and computers, pp. 975-979, Pacific Grove, CA, October 29 – November 1, 2017.
  15. S. Segarra, A. G. Marques, G. Leus and A. Ribeiro, Stationary Graph Processes: Parametric Power Spectral Estimation, IEEE Intl. Conf. Acoust., Speech and Signal Process. (ICASSP), pp. 4099-4103, New Orleans, USA, March 5-9, 2017.
  16. D. Ramirez, A. G. Marques and S. SegarraGraph-Signal Reconstruction and Blind Deconvolution for Diffused Sparse Inputs, IEEE Intl. Conf. Acoust., Speech and Signal Process. (ICASSP), pp. 4104-4108, New Orleans, USA, March 5-9, 2017.
  17. R. Shafipour, S. Segarra, A. G. Marques and G. Mateos, Network Topology Inference from Non-Stationary Graph Signals, IEEE Intl. Conf. Acoust., Speech and Signal Process. (ICASSP), pp. 5870-5874, New Orleans, USA, March 5-9, 2017.
  18. S. Segarra, A. G. Marques, G. Mateos and A. Ribeiro, Robust Network Topology Inference, IEEE Intl. Conf. Acoust., Speech and Signal Process. (ICASSP), pp. 6518-6522, New Orleans, USA, March 5-9, 2017.
  19. S. Segarra, A. G. Marques, G. Arce and A. Ribeiro, Center-Weighted Median Graph Filters, IEEE Global Conf. Signal and Info. Process. (GlobalSIP), pp. 336-340, Washington DC, December 7-9, 2016.
  20. S. Segarra, A. G. Marques, G. Mateos and A. Ribeiro, Network Topology Identification from Imperfect Spectral Templates, Asilomar Conference on signals, systems, and computers, pp. 1465-1469, Pacific Grove, CA, November 6-9, 2016.
  21. S. Segarra, A. G. Marques, G. Leus and A. Ribeiro, Stationary Graph Processes: Nonparametric Power Spectral Estimation, IEEE Sensor Array and Multichannel Signal Process. Wrksp., pp. 1-5, Rio de Janeiro, Brazil, July 10-13, 2016. Best Paper Award
  22. S. Segarra, A. G. Marques, G. Mateos and A. Ribeiro, Network Topology Identification from Spectral Templates, IEEE Intl. Wrksp. on Statistical Signal Process., pp. 1-5, Palma de Mallorca, Spain, June 26-29, 2016. Best Student Paper Award.
  23. S. Segarra, A. G. Marques, G. Mateos and A. Ribeiro, Blind Identification of Graph Filters with Multiple Sparse Inputs, IEEE Intl. Conf. Acoust., Speech and Signal Process. (ICASSP), pp. 4099-4103, Shanghai China, March 20-25, 2016.
  24. S. Segarra, A. G. Marques, G. Leus and A. Ribeiro, Space-Shift Sampling of Graph Signals, IEEE Intl. Conf. Acoust., Speech and Signal Process. (ICASSP), pp. 6355-6359, Shanghai China, March 20-25, 2016.
  25. S. Segarra, A. G. Marques and A. Ribeiro, Linear Network Operators Using Node-Variant Graph Filters, IEEE Intl. Conf. Acoust., Speech and Signal Process. (ICASSP), pp. 4850-4854, Shanghai China, March 20-25, 2016.
  26. F. Gama, S. Segarra and A. Ribeiro, Overlapping Clustering of Network Data Using Cut Metrics, IEEE Intl. Conf. Acoust., Speech and Signal Process. (ICASSP), pp. 6415-6419, Shanghai China, March 20-25, 2016.
  27. J. Ma, W. Huang, S. Segarra and A. Ribeiro, Diffusion Filtering for Graph Signals and Its Use in Recommendation Systems, IEEE Intl. Conf. Acoust., Speech and Signal Process. (ICASSP), pp. 4563-4567, Shanghai China, March 20-25, 2016.
  28. S. Segarra, G. Mateos, A. G. Marques and A. Ribeiro, Blind Identification of Graph Filters with Sparse Inputs, IEEE Intl. Wrksp. on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), pp. 449-452, Cancun, Mexico, Dec. 13-16, 2015.
  29. S. Segarra, A. G. Marques, G. Leus and A. Ribeiro, Aggregation Sampling of Graph Signals in the Presence of Noise, IEEE Intl. Wrksp. on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), pp. 101-104, Cancun, Mexico, Dec. 13-16, 2015. Version with appendix.
  30. S. Segarra, A. G. Marques, G. Leus and A. Ribeiro, Reconstruction of Graph Signals: Percolation from a Single Seeding Node, IEEE Global Conf. Signal and Info. Process. (GlobalSIP), pp. 844-848, Orlando, FL, December 14-16, 2015. Version with appendix.
  31. S. Segarra, A. G. Marques, G. Leus and A. Ribeiro, Sampling of Graph Signals: Successive Local Aggregations at a Single Node, Asilomar Conference on signals, systems, and computers, pp. 1819-1823, Pacific Grove, CA, November 8-11, 2015. Best Student Paper Award.
  32. W. Huang, S. Segarra and A. Ribeiro, Diffusion Distance for Signals Supported on Networks, Asilomar Conference on signals, systems, and computers, pp. 1219-1223, Pacific Grove, CA, November 8-11, 2015.
  33. S. Segarra, A. G. Marques and A. Ribeiro, Distributed Implementation of Network Linear Operators using Graph Filters, Allerton Conf. on Commun. Control and Computing, pp. 1406-1413, Univ. of Illinois at U-C, Monticello, IL, Sept. 30-Oct. 2, 2015.
  34. S. Segarra, A. G. Marques, G. Leus and A. Ribeiro, Interpolation of graph signals using shift-invariant graph filters, European Signal Process. Conf. (EUSIPCO), pp. 210-214, Nice, France, August 31 – September 4, 2015. Version with appendix.
  35. S. Segarra and A. Ribeiro, Stability and Continuity of Centrality Measures in Weighted Graphs, IEEE Intl. Conf. Acoust., Speech and Signal Process. (ICASSP), pp. 3387-3391, Brisbane, Australia, April 19-24, 2015.
  36. S. Segarra and A. Ribeiro, Dithering and Betweenness Centrality in Weighted Graphs, IEEE Global Conf. Signal and Info. Process. (GlobalSIP), pp. 847-851, Atlanta, GA, December 3-5, 2014.
  37. *G. Carlsson, F. Memoli, A. Ribeiro and S. SegarraHierarchical Quasi-Clustering Methods for Asymmetric Networks, JMLR W&CP: International Conference on Machine Learning (ICML), vol. 32, pp. 352-360, Beijing, China, June 21-26, 2014.
  38. S. Segarra and A. Ribeiro, A Stable Betweenness Centrality Measure in Networks, IEEE Intl. Conf. Acoust., Speech and Signal Process. (ICASSP), pp. 3859-3863, Florence, Italy, May 4-9, 2014.
  39. S. Segarra and A. Ribeiro, Hierarchical Clustering and Consensus in Trust Networks, IEEE Intl. Wrksp. on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), pp.85-88, Saint Martin, Dec. 15-18, 2013. Version with appendix.
  40. *G. Carlsson, F. Memoli, A. Ribeiro and S. SegarraAlternative Axiomatic Constructions for Hierarchical Clustering of Asymmetric Networks, IEEE Global Conf. Signal and Info. Process. (GlobalSIP), pp.791-794, Austin, TX, Dec. 3-5, 2013.
  41. *G. Carlsson, F. Memoli, A. Ribeiro and S. SegarraHierarchical Clustering Methods and Algorithms for Asymmetric Networks, Asilomar Conference on signals, systems, and computers, pp. 1773-1777, Pacific Grove, CA, November 3-6, 2013.
  42. *G. Carlsson, F. Memoli, A. Ribeiro and S. SegarraAxiomatic Construction of Hierarchical Clustering in Asymmetric Networks, IEEE Intl. Conf. Acoust., Speech and Signal Process. (ICASSP), pp.5219-5223, Vancouver, Canada, May 26-31, 2013.
  43. S. Segarra, M. Eisen and A. Ribeiro, Authorship Attribution using Function Words Adjacency Networks, IEEE Intl. Conf. Acoust., Speech and Signal Process. (ICASSP), pp.5563-5567, Vancouver, Canada, May 26-31, 2013.

Book Chapters

  1. S. Segarra, S. P. Chepuri, A. G. Marques and G. Leus, Statistical Graph Signal Processing: Stationarity and Spectral Estimation, in Cooperative and Graph Signal Processing, P. M. Djuric and C. Richard (Eds.), Elsevier, 2018.
  2. G. Mateos, S. Segarra and A. G. Marques, Inference of Graph Topology, in Cooperative and Graph Signal Processing, P. M. Djuric and C. Richard (Eds.), Elsevier, 2018.
  3. *G. Carlsson, F. Memoli, A. Ribeiro and S. SegarraRepresentable Hierarchical Clustering Methods for Asymmetric Networks, in Data Science: Innovative Developments in Data Analysis and Clustering, F. Palumbo, A. Montanari, and M. Vichi (Eds.), Springer, 2017. [book is a compilation of selected papers presented at the 2015 Conference of the International Federation of Classification Societies].

Theses

  1. S. SegarraMetric Representations of Networks, Doctoral Thesis, 2016. Joseph and Rosaline Wolf Award for Best Doctoral Dissertation
  2. S. SegarraWord Adjacency Networks for Authorship Attribution: Solving Shakespearean Controversies, Master Thesis, 2014.