Santiago Segarra  Publications
I have joined Rice University as an Assistant Professor in the Department of Electrical and Computer Engineering! Check out my new webpage here.
In the publications marked with *, authors are ordered alphabetically.
COPYRIGHT NOTICE: All the documents on this page have been submitted by their authors to scholarly journals or conferences as indicated, for the purpose of noncommercial dissemination of scientific work. The manuscripts are put online to facilitate this purpose. These manuscripts are copyrighted by the authors or the journals in which they were published. You may copy a manuscript for scholarly, noncommercial purposes, such as research or instruction, provided that you agree to respect these copyrights. The documents published by the IEEE can be alternatively downloaded at IEEE Xplore.
Journal Papers
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. (under review), 2018.
Y. Wang, S. Segarra and C. Uhler, HighDimensional Joint Estimation
of Multiple Directed Gaussian Graphical Models, Ann. Stat., vol. (under review), 2018.
R. Shafipour, S. Segarra, A. G. Marques and G. Mateos, Identifying the Topology of Undirected Networks from Diffused Nonstationary Graph Signals, IEEE Trans. Signal Process., vol. (under review), 2018.
S. Segarra, R. Nielsen and A. Jadbabaie, What Makes a Jihadist Text Popular?, Proc. National Academy of Sciences, vol. (under review), 2018.
*M. AvellaMedina, F. Parise, M. T. Schaub and S. Segarra, Centrality Measures for Graphons: Accounting for Uncertainty in Networks, IEEE Trans. Network Science and Eng., vol. (under review), 2018.
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), 2018.
*G. Carlsson, F. Memoli, A. Ribeiro and S. Segarra, Excisive Hierarchical Clustering Methods for Network Data, IEEE Trans. Signal Process., vol. (under review), 2018.
S. Segarra, G. Carlsson, F. Memoli and A. Ribeiro, Metric Representations of Network Data, IEEE Trans. Signal Process., vol. (under review), 2018.
M. Eisen, S. Segarra, G. Egan and A. Ribeiro, Stylometric Analysis of Early Modern Period English Plays, Digital Scholarship in the Humanities, vol. (accepted), 2018.
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. 392406, June 2018.
*G. Carlsson, F. Memoli, A. Ribeiro and S. Segarra, Hierarchical Clustering of Asymmetric Networks, Advances in Data Analysis and Classification, vol. 12, no. 1, pp. 65105, Mar. 2018.
*G. Carlsson, F. Memoli, A. Ribeiro and S. Segarra, Admissible Hierarchical Clustering Methods and Algorithms for Asymmetric Networks, IEEE Trans. Signal and Info. Process. over Networks, vol. 3, no. 4, pp. 711727, Dec. 2017.
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. 59115926, Nov. 2017.
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 13731381, Sept. 2017.
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. 467483, Sept. 2017.
S. Segarra, A. G. Marques and A. Ribeiro, Optimal GraphFilter Design and Applications to Distributed Linear Network Operators, IEEE Trans. Signal Process., vol. 65, no. 15, pp. 41174131, Aug. 2017. [corresponds to preprint Distributed Linear Network Operators using Graph Filters]
S. Segarra, G. Mateos, A. G. Marques and A. Ribeiro, Blind Identification of Graph Filters, IEEE Trans. Signal Process., vol. 65, no. 5, pp. 11461159, March 2017.
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. 232256, 2016.
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.
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.
S. Segarra and A. Ribeiro, Stability and Continuity of Centrality Measures in Weighted Graphs, IEEE Trans. Signal Process., vol. 64, no. 3, pp. 543555, Feb., 2016.
S. Segarra, M. Eisen and A. Ribeiro, Authorship Attribution through Function Word Adjacency Networks, IEEE Trans. Signal Process., vol. 63, no. 20, pp. 54645478, Oct., 2015.
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. 2032, March, 2015.
Conference Papers
S. Segarra, A. G. Marques, M. Goyal and S. ReyEscudero, Network Topology Inference from InputOutput Diffusion Pairs, IEEE Statistical Signal Processing Workshop, Freiburg im Breisgau, Germany, June 1013, 2018.
R. Shafipour, S. Segarra, A. G. Marques and G. Mateos, Directed Network Topology Inference via Graph Filter Identification, IEEE Data Science Workshop, Lausanne, Switzerland, June 46, 2018.
H. T. Wai, S. Segarra, A. E. Ozdaglar, A. Scaglione and A. Jadbabaie, Community Detection from Lowrank Excitations of Graph Filters, IEEE Intl. Conf. Acoust., Speech and Signal Process. (ICASSP), Calgary, Canada, April 1520, 2018. Best Student Paper Award.
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), Calgary, Canada, April 1520, 2018.
F. J. Iglesias, S. Segarra, S. ReyEscudero, A. G. Marques and D. Ramirez, Demixing and Blind Deconvolution of Graphdiffused Sparse Signals, IEEE Intl. Conf. Acoust., Speech and Signal Process. (ICASSP), Calgary, Canada, April 1520, 2018.
S. Segarra, M. T. Schaub and A. Jadbabaie, Network Inference from Consensus Dynamics, IEEE Conf. on Decision and Control, pp. 32123217, Melbourne, Australia, December 1215, 2017.
S. Segarra, A. G. Marques, G. Arce and A. Ribeiro, Design of Weighted Median Graph Filters, IEEE Intl. Wrksp. on Computational Advances in MultiSensor Adaptive Processing (CAMSAP), pp. 15, CuraĆ§ao, Dutch Antilles, December 1013, 2017.
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. 975979, Pacific Grove, CA, October 29  November 1, 2017.
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. 40994103, New Orleans, USA, March 59, 2017.
D. Ramirez, A. G. Marques and S. Segarra, GraphSignal Reconstruction and Blind Deconvolution for Diffused Sparse Inputs, IEEE Intl. Conf. Acoust., Speech and Signal Process. (ICASSP), pp. 41044108, New Orleans, USA, March 59, 2017.
R. Shafipour, S. Segarra, A. G. Marques and G. Mateos, Network Topology Inference from NonStationary Graph Signals, IEEE Intl. Conf. Acoust., Speech and Signal Process. (ICASSP), pp. 58705874, New Orleans, USA, March 59, 2017.
S. Segarra, A. G. Marques, G. Mateos and A. Ribeiro, Robust Network Topology Inference, IEEE Intl. Conf. Acoust., Speech and Signal Process. (ICASSP), pp. 65186522, New Orleans, USA, March 59, 2017.
S. Segarra, A. G. Marques, G. Arce and A. Ribeiro, CenterWeighted Median Graph Filters, IEEE Global Conf. Signal and Info. Process. (GlobalSIP), pp. 336340, Washington DC, December 79, 2016.
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. 14651469, Pacific Grove, CA, November 69, 2016.
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. 15, Rio de Janeiro, Brazil, July 1013, 2016. Best Paper Award
S. Segarra, A. G. Marques, G. Mateos and A. Ribeiro, Network Topology Identification from Spectral Templates, IEEE Intl. Wrksp. on Statistical Signal Process., pp. 15, Palma de Mallorca, Spain, June 2629, 2016. Best Student Paper Award.
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. 40994103, Shanghai China, March 2025, 2016.
S. Segarra, A. G. Marques, G. Leus and A. Ribeiro, SpaceShift Sampling of Graph Signals, IEEE Intl. Conf. Acoust., Speech and Signal Process. (ICASSP), pp. 63556359, Shanghai China, March 2025, 2016.
S. Segarra, A. G. Marques and A. Ribeiro, Linear Network Operators Using NodeVariant Graph Filters, IEEE Intl. Conf. Acoust., Speech and Signal Process. (ICASSP), pp. 48504854, Shanghai China, March 2025, 2016.
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. 64156419, Shanghai China, March 2025, 2016.
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. 45634567, Shanghai China, March 2025, 2016.
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 MultiSensor Adaptive Processing (CAMSAP), pp. 449452, Cancun, Mexico, Dec. 1316, 2015.
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 MultiSensor Adaptive Processing (CAMSAP), pp. 101104, Cancun, Mexico, Dec. 1316, 2015. Version with appendix.
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. 844848, Orlando, FL, December 1416, 2015. Version with appendix.
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. 18191823, Pacific Grove, CA, November 811, 2015. Best Student Paper Award.
W. Huang, S. Segarra and A. Ribeiro, Diffusion Distance for Signals Supported on Networks, Asilomar Conference on signals, systems, and computers, pp. 12191223, Pacific Grove, CA, November 811, 2015.
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. 14061413, Univ. of Illinois at UC, Monticello, IL, Sept. 30Oct. 2, 2015.
S. Segarra, A. G. Marques, G. Leus and A. Ribeiro, Interpolation of graph signals using shiftinvariant graph filters, European Signal Process. Conf. (EUSIPCO), pp. 210214, Nice, France, August 31  September 4, 2015. Version with appendix.
S. Segarra and A. Ribeiro, Stability and Continuity of Centrality Measures in Weighted Graphs, IEEE Intl. Conf. Acoust., Speech and Signal Process. (ICASSP), pp. 33873391, Brisbane, Australia, April 1924, 2015.
S. Segarra and A. Ribeiro, Dithering and Betweenness Centrality in Weighted Graphs, IEEE Global Conf. Signal and Info. Process. (GlobalSIP), pp. 847851, Atlanta, GA, December 35, 2014.
*G. Carlsson, F. Memoli, A. Ribeiro and S. Segarra, Hierarchical QuasiClustering Methods for Asymmetric Networks, JMLR W&CP: International Conference on Machine Learning (ICML), vol. 32, pp. 352360, Beijing, China, June 2126, 2014.
S. Segarra and A. Ribeiro, A Stable Betweenness Centrality Measure in Networks, IEEE Intl. Conf. Acoust., Speech and Signal Process. (ICASSP), pp. 38593863, Florence, Italy, May 49, 2014.
S. Segarra and A. Ribeiro, Hierarchical Clustering and Consensus in Trust Networks, IEEE Intl. Wrksp. on Computational Advances in MultiSensor Adaptive Processing (CAMSAP), pp.8588, Saint Martin, Dec. 1518, 2013. Version with appendix.
*G. Carlsson, F. Memoli, A. Ribeiro and S. Segarra, Alternative Axiomatic Constructions for Hierarchical Clustering of Asymmetric Networks, IEEE Global Conf. Signal and Info. Process. (GlobalSIP), pp.791794, Austin, TX, Dec. 35, 2013.
*G. Carlsson, F. Memoli, A. Ribeiro and S. Segarra, Hierarchical Clustering Methods and Algorithms for Asymmetric Networks, Asilomar Conference on signals, systems, and computers, pp. 17731777, Pacific Grove, CA, November 36, 2013.
*G. Carlsson, F. Memoli, A. Ribeiro and S. Segarra, Axiomatic Construction of Hierarchical Clustering in Asymmetric Networks, IEEE Intl. Conf. Acoust., Speech and Signal Process. (ICASSP), pp.52195223, Vancouver, Canada, May 2631, 2013.
S. Segarra, M. Eisen and A. Ribeiro, Authorship Attribution using Function Words Adjacency Networks, IEEE Intl. Conf. Acoust., Speech and Signal Process. (ICASSP), pp.55635567, Vancouver, Canada, May 2631, 2013.
Book Chapters
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.
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.
*G. Carlsson, F. Memoli, A. Ribeiro and S. Segarra, Representable 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
S. Segarra, Metric Representations of Networks, Doctoral Thesis, 2016. Joseph and Rosaline Wolf Award for Best Doctoral Dissertation
S. Segarra, Word Adjacency Networks for Authorship Attribution: Solving Shakespearean Controversies, Master Thesis, 2014.
