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2020 – today
- 2024
[j17]Benjamin Leinwand
, Vladas Pipiras:
Augmented degree correction for bipartite networks with applications to recommender systems. Appl. Netw. Sci. 9(1): 19 (2024)- [j16]Nelson Antunes, Sayan Banerjee, Shankar Bhamidi, Vladas Pipiras:
Representation, ranking and bias of minorities in sampling attributed networks. Soc. Netw. Anal. Min. 14(1): 158 (2024) - 2023
- [j15]Nelson Antunes, Sayan Banerjee, Shankar Bhamidi, Vladas Pipiras:
Learning attribute and homophily measures through random walks. Appl. Netw. Sci. 8(1): 39 (2023) - [c11]Nelson Antunes, Sayan Banerjee, Shankar Bhamidi, Vladas Pipiras:
Minority Representation and Relative Ranking in Sampling Attributed Networks. COMPLEX NETWORKS (1) 2023: 137-149 - [i4]Dhruv Patel, Hui Shen, Shankar Bhamidi, Yufeng Liu, Vladas Pipiras:
Consistency of Lloyd's Algorithm Under Perturbations. CoRR abs/2309.00578 (2023) - [i3]Benjamin Leinwand, Vladas Pipiras:
Augmented Degree Correction for Bipartite Networks with Applications to Recommender Systems. CoRR abs/2311.06436 (2023) - 2022
- [j14]Marie-Christine Düker, Vladas Pipiras, Raanju R. Sundararajan:
Cotrending: Testing for common deterministic trends in varying means model. J. Multivar. Anal. 187: 104825 (2022) - [j13]Benjamin Leinwand, Vladas Pipiras:
Block dense weighted networks with augmented degree correction. Netw. Sci. 10(3): 301-321 (2022) - [c10]Nelson Antunes, Shankar Bhamidi, Vladas Pipiras:
Learning Attribute Distributions Through Random Walks. COMPLEX NETWORKS (2) 2022: 17-29 - 2021
- [j12]Changryong Baek, Kathleen M. Gates, Benjamin Leinwand, Vladas Pipiras:
Two sample tests for high-dimensional autocovariances. Comput. Stat. Data Anal. 153: 107067 (2021) - [j11]Nelson Antunes, Shankar Bhamidi, Tianjian Guo, Vladas Pipiras, Bang Wang:
Sampling Based Estimation of In-Degree Distribution for Directed Complex Networks. J. Comput. Graph. Stat. 30(4): 863-876 (2021) - [j10]Nelson Antunes, Tianjian Guo, Vladas Pipiras:
Sampling methods and estimation of triangle count distributions in large networks. Netw. Sci. 9(S1): S134-S156 (2021) - [i2]Benjamin Leinwand, Vladas Pipiras:
Block Dense Weighted Networks with Augmented Degree Correction. CoRR abs/2105.12290 (2021) - 2020
- [c9]Benjamin Leinwand, Guorong Wu, Vladas Pipiras:
Characterizing Frequency-Selective Network Vulnerability for Alzheimer's Disease by Identifying Critical Harmonic Patterns. ISBI 2020: 1-4
2010 – 2019
- 2019
- [c8]Marie-Christine Düker, Vladas Pipiras:
Asymptotic results for multivariate local Whittle estimation with applications. CAMSAP 2019: 584-588 - [c7]Nelson Antunes, Tianjian Guo, Vladas Pipiras:
Induced Edge Samplings and Triangle Count Distributions in Large Networks. COMPLEX NETWORKS (2) 2019: 203-215 - [c6]Nelson Antunes, Vladas Pipiras, Gonçalo Jacinto:
Regularized inversion of flow size distribution. INFOCOM 2019: 1720-1728 - 2018
- [i1]Nelson Antunes, Shankar Bhamidi, Tianjian Guo, Vladas Pipiras, Bang Wang:
Sampling-based Estimation of In-degree Distribution with Applications to Directed Complex Networks. CoRR abs/1810.01300 (2018) - 2017
- [j9]Changryong Baek, Richard A. Davis, Vladas Pipiras:
Sparse seasonal and periodic vector autoregressive modeling. Comput. Stat. Data Anal. 106: 103-126 (2017) - [c5]Nelson Antunes, Vladas Pipiras, Darryl Veitch:
Skampling for the Flow Duration Distribution. ITC 2017: 63-71 - 2016
- [j8]Nelson Antunes, Vladas Pipiras:
Estimation of Flow Distributions from Sampled Traffic. ACM Trans. Model. Perform. Evaluation Comput. Syst. 1(3): 11:1-11:28 (2016) - 2015
- [c4]Nelson Antunes, Vladas Pipiras:
Sampling and censoring in estimation of flow distributions. ICC 2015: 5865-5871 - 2013
- [j7]Gustavo Didier, Stéphane Jaffard, Vladas Pipiras:
On the vaguelet and Riesz properties of L2-unbounded transformations of orthogonal wavelet bases. J. Approx. Theory 176: 94-117 (2013) - 2012
- [c3]Nelson Antunes, Vladas Pipiras:
Estimation of flow distributions tails from sampled traffic. SSP 2012: 796-799 - [c2]Nelson Antunes, Vladas Pipiras:
Inverting flow durations from sampled traffic. ITC 2012: 1-8 - 2011
- [j6]Hannes Helgason, Vladas Pipiras, Patrice Abry:
Fast and exact synthesis of stationary multivariate Gaussian time series using circulant embedding. Signal Process. 91(5): 1123-1133 (2011) - [j5]Hannes Helgason, Vladas Pipiras, Patrice Abry:
Synthesis of multivariate stationary series with prescribed marginal distributions and covariance using circulant matrix embedding. Signal Process. 91(8): 1741-1758 (2011)
2000 – 2009
- 2009
- [j4]Changryong Baek, Vladas Pipiras:
Long Range Dependence, Unbalanced Haar Wavelet Transformation and Changes in Local Mean Level. Int. J. Wavelets Multiresolution Inf. Process. 7(1): 23-58 (2009) - [j3]Patrice Abry, Pierre Chainais, Laure Coutin, Vladas Pipiras:
Multifractal random walks as fractional Wiener integrals. IEEE Trans. Inf. Theory 55(8): 3825-3846 (2009) - 2007
- [c1]Robert T. Buche, Arka Ghosh, Vladas Pipiras:
Heavy traffic limits in a wireless queueing model with long range dependence. CDC 2007: 4447-4452 - 2006
- [j2]Patrice Abry, Vladas Pipiras:
Wavelet-based synthesis of the Rosenblatt process. Signal Process. 86(9): 2326-2339 (2006) - 2002
- [j1]Stilian Stoev, Vladas Pipiras, Murad S. Taqqu:
Estimation of the self-similarity parameter in linear fractional stable motion. Signal Process. 82(12): 1873-1901 (2002)
Coauthor Index
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last updated on 2024-10-07 21:17 CEST by the dblp team
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