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Gonzalo Mateos
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2020 – today
- 2024
- [j36]Marcelo Fiori
, Bernardo Marenco
Gradient-Based Spectral Embeddings of Random Dot Product Graphs. IEEE Trans. Signal Inf. Process. over Networks 10: 1-16 (2024) - [c64]Seyed Saman Saboksayr, Gonzalo Mateos, Mariano Tepper:
CoLiDE: Concomitant Linear DAG Estimation. ICLR 2024 - [c63]Oyku Deniz Kose, Gonzalo Mateos, Yanning Shen:
Filtering as Rewiring for Bias Mitigation on Graphs. SAM 2024: 1-5 - [c62]Seyed Saman Saboksayr, Gonzalo Mateos, Mariano Tepper:
Block Successive Convex Approximation for Concomitant Linear DAG Estimation. SAM 2024: 1-5 - [i42]Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro:
Towards a Foundation Model for Brain Age Prediction using coVariance Neural Networks. CoRR abs/2402.07684 (2024) - [i41]Samuel Rey, Hamed Ajorlou, Gonzalo Mateos:
Convolutional Learning on Directed Acyclic Graphs. CoRR abs/2405.03056 (2024) - [i40]Max Wasserman, Gonzalo Mateos:
Graph Structure Learning with Interpretable Bayesian Neural Networks. CoRR abs/2406.14786 (2024) - [i39]Samuel Rey, Seyed Saman Saboksayr, Gonzalo Mateos:
Non-negative Weighted DAG Structure Learning. CoRR abs/2409.07880 (2024) - [i38]Hector Chahuara, Gonzalo Mateos:
Online Proximal ADMM for Graph Learning from Streaming Smooth Signals. CoRR abs/2409.12916 (2024) - [i37]Max Wasserman, Gonzalo Mateos:
Stabilizing the Kumaraswamy Distribution. CoRR abs/2410.00660 (2024) - 2023
- [j35]Max Wasserman, Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro:
Learning Graph Structure from Convolutional Mixtures. Trans. Mach. Learn. Res. 2023 (2023) - [j34]Zhenlong Xiao
Joint Sampling and Reconstruction of Time-Varying Signals Over Directed Graphs. IEEE Trans. Signal Process. 71: 2204-2219 (2023) - [c61]Öykü Deniz Köse, Yanning Shen, Gonzalo Mateos:
Fairness-Aware Graph Filter Design. ACSSC 2023: 330-334 - [c60]Seyed Saman Saboksayr, Gonzalo Mateos:
Dual-Based Online Learning of Dynamic Network Topologies. ICASSP 2023: 1-5 - [c59]Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro:
Predicting Brain Age Using Transferable Covariance Neural Networks. ICASSP 2023: 1-5 - [c58]Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro:
Explainable Brain Age Prediction using coVariance Neural Networks. NeurIPS 2023 - [i36]Öykü Deniz Köse, Yanning Shen, Gonzalo Mateos:
Fairness-Aware Graph Filter Design. CoRR abs/2303.11459 (2023) - [i35]Saurabh Sihag, Gonzalo Mateos, Corey T. McMillan, Alejandro Ribeiro:
Transferability of coVariance Neural Networks and Application to Interpretable Brain Age Prediction using Anatomical Features. CoRR abs/2305.01807 (2023) - [i34]Saurabh Sihag, Gonzalo Mateos, Corey T. McMillan, Alejandro Ribeiro:
Explainable Brain Age Prediction using coVariance Neural Networks. CoRR abs/2305.18370 (2023) - [i33]Marcelo Fiori, Bernardo Marenco, Federico Larroca, Paola Bermolen, Gonzalo Mateos:
Gradient-Based Spectral Embeddings of Random Dot Product Graphs. CoRR abs/2307.13818 (2023) - [i32]Seyed Saman Saboksayr, Gonzalo Mateos, Mariano Tepper:
CoLiDE: Concomitant Linear DAG Estimation. CoRR abs/2310.02895 (2023) - [i31]Oyku Deniz Kose, Yanning Shen, Gonzalo Mateos:
Fairness-aware Optimal Graph Filter Design. CoRR abs/2310.14432 (2023) - 2022
- [j33]Yang Li, Gonzalo Mateos
Networks of international football: communities, evolution and globalization of the game. Appl. Netw. Sci. 7(1): 59 (2022) - [j32]Abolfazl Hashemi
Towards accelerated greedy sampling and reconstruction of bandlimited graph signals. Signal Process. 195: 108505 (2022) - [j31]Bernardo Marenco, Paola Bermolen, Marcelo Fiori
Online Change Point Detection for Weighted and Directed Random Dot Product Graphs. IEEE Trans. Signal Inf. Process. over Networks 8: 144-159 (2022) - [j30]Yang Li
Learning to Model the Relationship Between Brain Structural and Functional Connectomes. IEEE Trans. Signal Inf. Process. over Networks 8: 830-843 (2022) - [c57]Federico Larroca, Paola Bermolen, Marcelo Fiori, Bernardo Marenco, Gonzalo Mateos:
Tracking the Adjacency Spectral Embedding for Streaming Graphs. IEEECONF 2022: 847-851 - [c56]Marcelo Fiori, Bernardo Marenco, Federico Larroca, Paola Bermolen, Gonzalo Mateos:
Algorithmic Advances for the Adjacency Spectral Embedding. EUSIPCO 2022: 672-676 - [c55]Chang Ye, Gonzalo Mateos:
Learning to Identify Sources of Network Diffusion. EUSIPCO 2022: 727-731 - [c54]Yang Li, Gonzalo Mateos:
Learning Similarity-Preserving Representations of Brain Structure-Function Coupling. EUSIPCO 2022: 922-926 - [c53]Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro:
coVariance Neural Networks. NeurIPS 2022 - [i30]Bernardo Marenco, Paola Bermolen, Marcelo Fiori, Federico Larroca, Gonzalo Mateos:
Online Change Point Detection for Weighted and Directed Random Dot Product Graphs. CoRR abs/2201.11222 (2022) - [i29]Max Wasserman, Saurabh Sihag, Gonzalo Mateos
Learning Graph Structure from Convolutional Mixtures. CoRR abs/2205.09575 (2022) - [i28]Yang Li
Networks of international football: communities, evolution and globalization of the game. CoRR abs/2205.10599 (2022) - [i27]Saurabh Sihag, Gonzalo Mateos
coVariance Neural Networks. CoRR abs/2205.15856 (2022) - [i26]Saurabh Sihag, Gonzalo Mateos
Predicting Brain Age using Transferable coVariance Neural Networks. CoRR abs/2210.16363 (2022) - [i25]Max Wasserman, Gonzalo Mateos
pyGSL: A Graph Structure Learning Toolkit. CoRR abs/2211.03583 (2022) - 2021
- [j29]Seyed Saman Saboksayr, Gonzalo Mateos
Online discriminative graph learning from multi-class smooth signals. Signal Process. 186: 108101 (2021) - [j28]Seyed Saman Saboksayr, Gonzalo Mateos
Accelerated Graph Learning From Smooth Signals. IEEE Signal Process. Lett. 28: 2192-2196 (2021) - [c52]Bernardo Marenco, Paola Bermolen, Marcelo Fiori, Federico Larroca, Gonzalo Mateos
Online Change Point Detection for Random Dot Product Graphs. ACSCC 2021: 1525-1530 - [c51]Federico Larroca, Paola Bermolen, Marcelo Fiori, Gonzalo Mateos
Change Point Detection in Weighted and Directed Random Dot Product Graphs. EUSIPCO 2021: 1810-1814 - [c50]Seyed Saman Saboksayr, Gonzalo Mateos
Online Graph Learning under Smoothness Priors. EUSIPCO 2021: 1820-1824 - [c49]Seyed Saman Saboksayr, Gonzalo Mateos
EEG-Based Emotion Classification Using Graph Signal Processing. ICASSP 2021: 1065-1069 - [c48]Yang Li
Graph Frequency Analysis of COVID-19 Incidence to Identify County-Level Contagion Patterns in the United States. ICASSP 2021: 3230-3234 - [i24]Seyed Saman Saboksayr, Gonzalo Mateos, Müjdat Çetin:
Online Graph Learning under Smoothness Priors. CoRR abs/2103.03762 (2021) - [i23]Seyed Saman Saboksayr, Gonzalo Mateos:
Accelerated Graph Learning from Smooth Signals. CoRR abs/2110.09677 (2021) - [i22]Yang Li, Gonzalo Mateos, Zhengwu Zhang:
Learning to Model the Relationship Between Brain Structural and Functional Connectomes. CoRR abs/2112.09906 (2021) - 2020
- [j27]Rasoul Shafipour
Online Topology Inference from Streaming Stationary Graph Signals with Partial Connectivity Information. Algorithms 13(9): 228 (2020) - [j26]Fernando Gama
Rethinking sketching as sampling: A graph signal processing approach. Signal Process. 169: 107404 (2020) - [j25]Antonio G. Marques
Signal Processing on Directed Graphs: The Role of Edge Directionality When Processing and Learning From Network Data. IEEE Signal Process. Mag. 37(6): 99-116 (2020) - [c47]Rasoul Shafipour, Gonzalo Mateos
Online proximal gradient for learning graphs from streaming signals. EUSIPCO 2020: 865-869 - [c46]Yang Li
Supervised Graph Representation Learning for Modeling the Relationship between Structural and Functional Brain Connectivity. ICASSP 2020: 9065-9069 - [c45]Carlos Lassance, Vincent Gripon, Gonzalo Mateos
Graph Topology Inference Benchmarks for Machine Learning. MLSP 2020: 1-6 - [i21]Rasoul Shafipour, Gonzalo Mateos:
Online Topology Inference from Streaming Stationary Graph Signals with Partial Connectivity Information. CoRR abs/2007.03653 (2020) - [i20]Carlos Lassance, Vincent Gripon, Gonzalo Mateos:
Graph topology inference benchmarks for machine learning. CoRR abs/2007.08216 (2020)
2010 – 2019
- 2019
- [j24]Gonzalo Mateos
Connecting the Dots: Identifying Network Structure via Graph Signal Processing. IEEE Signal Process. Mag. 36(3): 16-43 (2019) - [j23]Rasoul Shafipour
A Directed Graph Fourier Transform With Spread Frequency Components. IEEE Trans. Signal Process. 67(4): 946-960 (2019) - [c44]Rasoul Shafipour, Gonzalo Mateos
Online Network Topology Inference with Partial Connectivity Informatio. CAMSAP 2019: 226-230 - [c43]Chang Ye, Gonzalo Mateos
Online Tensor Decomposition and Imputation for Count Data. DSW 2019: 17-21 - [c42]Rasoul Shafipour, Abolfazl Hashemi, Gonzalo Mateos
Online Topology Inference from Streaming Stationary Graph Signals. DSW 2019: 140-144 - [c41]Yang Li
Mapping Brain Structural Connectivities to Functional Networks Via Graph Encoder-Decoder With Interpretable Latent Embeddings. GlobalSIP 2019: 1-5 - [c40]Yang Li
Identifying Structural Brain Networks from Functional Connectivity: A Network Deconvolution Approach. ICASSP 2019: 1135-1139 - [c39]Rasoul Shafipour, Ali Khodabakhsh, Gonzalo Mateos
A Windowed Digraph Fourier Transform. ICASSP 2019: 7525-7529 - 2018
- [c38]Rasoul Shafipour, Gonzalo Mateos:
Spread and Sparse: Learning Interpretable Transforms for Bandlimited Signals on Directed Graphs. ACSSC 2018: 742-746 - [c37]Rasoul Shafipour, Santiago Segarra
Directed Network Topology Inference via Graph Filter Identification. DSW 2018: 210-214 - [c36]Chang Ye, Rasoul Shafipour, Gonzalo Mateos:
Blind Identification of Invertible Graph Filters with Multiple Sparse Inputs. EUSIPCO 2018: 121-125 - [c35]Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo
A Novel Scheme for Support Identification and Iterative Sampling of Bandlimited Graph Signals. GlobalSIP 2018: 778-782 - [c34]Rasoul Shafipour, Santiago Segarra
Identifying Undirected Network Structure via Semidefinite Relaxation. ICASSP 2018: 4049-4053 - [c33]Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo
Sampling and Reconstruction of Graph Signals via Weak Submodularity and Semidefinite Relaxation. ICASSP 2018: 4179-4183 - [c32]Rasoul Shafipour, Ali Khodabakhsh, Gonzalo Mateos, Evdokia Nikolova:
Digraph Fourier Transform via Spectral Dispersion Minimization. ICASSP 2018: 6284-6288 - [i19]Rasoul Shafipour, Santiago Segarra, Antonio G. Marques, Gonzalo Mateos:
Identifying the Topology of Undirected Networks from Diffused Non-stationary Graph Signals. CoRR abs/1801.03862 (2018) - [i18]Chang Ye, Rasoul Shafipour, Gonzalo Mateos:
Blind Identification of Invertible Graph Filters with Multiple Sparse Inputs. CoRR abs/1803.04072 (2018) - 2017
- [j22]Santiago Segarra
Network Topology Inference from Spectral Templates. IEEE Trans. Signal Inf. Process. over Networks 3(3): 467-483 (2017) - [j21]Santiago Segarra
Blind Identification of Graph Filters. IEEE Trans. Signal Process. 65(5): 1146-1159 (2017) - [c31]Rijul Magu, Gonzalo Mateos
United Nations General Assembly Vote Similarity Networks. COMPLEX NETWORKS 2017: 1174-1183 - [c30]Rasoul Shafipour, Ali Khodabakhsh, Gonzalo Mateos, Evdokia Nikolova:
A digraph fourier transform with spread frequency components. GlobalSIP 2017: 583-587 - [c29]Rasoul Shafipour, Santiago Segarra
Network topology inference from non-stationary graph signals. ICASSP 2017: 5870-5874 - [c28]Santiago Segarra
Robust network topology inference. ICASSP 2017: 6518-6522 - [i17]Rasoul Shafipour, Raiyan Abdul Baten, Md. Kamrul Hasan, Gourab Ghoshal, Gonzalo Mateos, Mohammed E. Hoque:
Closing the Knowledge Gap in an Online Learning Community: Network-Analytic Discoveries, Simulation and Prediction. CoRR abs/1707.01886 (2017) - [i16]Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo, Gonzalo Mateos
Sampling and Reconstruction of Graph Signals via Weak Submodularity and Semidefinite Relaxation. CoRR abs/1711.00142 (2017) - 2016
- [j20]Arian Shoari, Gonzalo Mateos
Analysis of Target Localization With Ideal Binary Detectors via Likelihood Function Smoothing. IEEE Signal Process. Lett. 23(5): 737-741 (2016) - [j19]Arian Shoari, Gonzalo Mateos
On the Definition and Existence of a Minimum Variance Unbiased Estimator for Target Localization. IEEE Signal Process. Lett. 23(7): 964-968 (2016) - [c27]Fernando Gama, Antonio G. Marques
Rethinking sketching as sampling: Linear transforms of graph signals. ACSSC 2016: 522-526 - [c26]Santiago Segarra
Network topology identification from imperfect spectral templates. ACSSC 2016: 1465-1469 - [c25]Antonio G. Marques
SIGIBE: Solving random bilinear equations via gradient descent with spectral initialization. EUSIPCO 2016: 230-234 - [c24]Fernando Garna, Antonio G. Marques
Rethinking sketching as sampling: Efficient approximate solution to linear inverse problems. GlobalSIP 2016: 390-394 - [c23]Santiago Segarra
Blind identification of graph filters with multiple sparse inputs. ICASSP 2016: 4099-4103 - [c22]Santiago Segarra
Network topology identification from spectral templates. SSP 2016: 1-5 - [i15]Santiago Segarra, Antonio G. Marques, Gonzalo Mateos, Alejandro Ribeiro:
Network Topology Identification from Spectral Templates. CoRR abs/1604.02610 (2016) - [i14]Santiago Segarra, Gonzalo Mateos, Antonio G. Marques, Alejandro Ribeiro:
Blind Identification of Graph Filters. CoRR abs/1604.07234 (2016) - [i13]Santiago Segarra, Antonio G. Marques
Network Topology Inference from Spectral Templates. CoRR abs/1608.03008 (2016) - [i12]Fernando Gama, Antonio G. Marques
Rethinking Sketching as Sampling: A Graph Signal Processing Approach. CoRR abs/1611.00119 (2016) - 2015
- [j18]Morteza Mardani, Gonzalo Mateos
Subspace Learning and Imputation for Streaming Big Data Matrices and Tensors. IEEE Trans. Signal Process. 63(10): 2663-2677 (2015) - [c21]Moeen Hassanalieragh, Alex Page, Tolga Soyata
Health Monitoring and Management Using Internet-of-Things (IoT) Sensing with Cloud-Based Processing: Opportunities and Challenges. SCC 2015: 285-292 - [c20]Brian Baingana, Emiliano Dall'Anese
Robust kriged Kalman filtering. ACSSC 2015: 1525-1529 - [c19]Santiago Segarra
Blind identification of graph filters with sparse inputs. CAMSAP 2015: 449-452 - [i11]Georgios B. Giannakis, Qing Ling, Gonzalo Mateos, Ioannis D. Schizas, Hao Zhu:
Decentralized learning for wireless communications and networking. CoRR abs/1503.08855 (2015) - 2014
- [j17]Brian Baingana, Gonzalo Mateos
Proximal-Gradient Algorithms for Tracking Cascades Over Social Networks. IEEE J. Sel. Top. Signal Process. 8(4): 563-575 (2014) - [j16]Konstantinos Slavakis, Georgios B. Giannakis
Modeling and Optimization for Big Data Analytics: (Statistical) learning tools for our era of data deluge. IEEE Signal Process. Mag. 31(5): 18-31 (2014) - [j15]Konstantinos Slavakis, Seung-Jun Kim, Gonzalo Mateos
Stochastic Approximation vis-a-vis Online Learning for Big Data Analytics [Lecture Notes]. IEEE Signal Process. Mag. 31(6): 124-129 (2014) - [c18]Brian Baingana, Gonzalo Mateos
A proximal gradient algorithm for tracking cascades over networks. ICASSP 2014: 4778-4782 - [c17]Morteza Mardani, Gonzalo Mateos
Imputation of streaming low-rank tensor data. SAM 2014: 433-436 - [c16]Miguel Araujo
Beyond Blocks: Hyperbolic Community Detection. ECML/PKDD (1) 2014: 50-65 - [i10]Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis:
Subspace Learning and Imputation for Streaming Big Data Matrices and Tensors. CoRR abs/1404.4667 (2014) - 2013
- [j14]Morteza Mardani, Gonzalo Mateos
Dynamic Anomalography: Tracking Network Anomalies Via Sparsity and Low Rank. IEEE J. Sel. Top. Signal Process. 7(1): 50-66 (2013) - [j13]Gonzalo Mateos
Dynamic Network Cartography: Advances in Network Health Monitoring. IEEE Signal Process. Mag. 30(3): 129-143 (2013) - [j12]Morteza Mardani, Gonzalo Mateos
Recovery of Low-Rank Plus Compressed Sparse Matrices With Application to Unveiling Traffic Anomalies. IEEE Trans. Inf. Theory 59(8): 5186-5205 (2013) - [j11]Gonzalo Mateos
Load Curve Data Cleansing and Imputation Via Sparsity and Low Rank. IEEE Trans. Smart Grid 4(4): 2347-2355 (2013) - [j10]Morteza Mardani, Gonzalo Mateos
Decentralized Sparsity-Regularized Rank Minimization: Algorithms and Applications. IEEE Trans. Signal Process. 61(21): 5374-5388 (2013) - [j9]Juan Andrés Bazerque
Rank Regularization and Bayesian Inference for Tensor Completion and Extrapolation. IEEE Trans. Signal Process. 61(22): 5689-5703 (2013) - [c15]Brian Baingana, Gonzalo Mateos
Dynamic structural equation models for tracking topologies of social networksy. CAMSAP 2013: 292-295 - [c14]Morteza Mardani, Gonzalo Mateos
Rank minimization for subspace tracking from incomplete data. ICASSP 2013: 5681-5685 - [c13]Juan Andrés Bazerque
Inference of Poisson count processes using low-rank tensor data. ICASSP 2013: 5989-5993 - [i9]Juan Andrés Bazerque, Gonzalo Mateos, Georgios B. Giannakis:
Rank regularization and Bayesian inference for tensor completion and extrapolation. CoRR abs/1301.7619 (2013) - [i8]Gonzalo Mateos, Georgios B. Giannakis:
Load curve data cleansing and imputation via sparsity and low rank. CoRR abs/1301.7627 (2013) - [i7]Brian Baingana, Gonzalo Mateos, Georgios B. Giannakis:
Dynamic Structural Equation Models for Social Network Topology Inference. CoRR abs/1309.6683 (2013) - 2012
- [j8]Gonzalo Mateos
Robust Nonparametric Regression via Sparsity Control With Application to Load Curve Data Cleansing. IEEE Trans. Signal Process. 60(4): 1571-1584 (2012) - [j7]Gonzalo Mateos
Distributed Recursive Least-Squares: Stability and Performance Analysis. IEEE Trans. Signal Process. 60(7): 3740-3754 (2012) - [j6]Gonzalo Mateos
Robust PCA as Bilinear Decomposition With Outlier-Sparsity Regularization. IEEE Trans. Signal Process. 60(10): 5176-5190 (2012) - [c12]Gonzalo Mateos
Spatiotemporal load curve data cleansing and imputation via sparsity and low rank. SmartGridComm 2012: 653-658 - [c11]Morteza Mardani, Gonzalo Mateos
Distributed nuclear norm minimization for matrix completion. SPAWC 2012: 354-358 - [c10]Morteza Mardani, Gonzalo Mateos
Exact recovery of low-rank plus compressed sparse matrices. SSP 2012: 49-52 - [c9]Juan Andrés Bazerque
Nonparametric low-rank tensor imputation. SSP 2012: 876-879 - [i6]Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis:
In-network Sparsity-regularized Rank Minimization: Algorithms and Applications. CoRR abs/1203.1570 (2012) - [i5]Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis:
Recovery of Low-Rank Plus Compressed Sparse Matrices with Application to Unveiling Traffic Anomalies. CoRR abs/1204.6537 (2012) - [i4]Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis:
Dynamic Anomalography: Tracking Network Anomalies via Sparsity and Low Rank. CoRR abs/1208.4043 (2012) - [i3]Gonzalo Mateos, Ketan Rajawat:
Dynamic Network Cartography. CoRR abs/1211.6950 (2012) - 2011
- [j5]Juan Andrés Bazerque
Group-Lasso on Splines for Spectrum Cartography. IEEE Trans. Signal Process. 59(10): 4648-4663 (2011) - [c8]Morteza Mardani, Gonzalo Mateos
Unveiling anomalies in large-scale networks via sparsity and low rank. ACSCC 2011: 403-407 - [c7]Gonzalo Mateos, Georgios B. Giannakis:
Robust conjoint analysis by controlling outlier sparsity. EUSIPCO 2011: 1914-1918 - [c6]Georgios B. Giannakis
USPACOR: Universal sparsity-controlling outlier rejection. ICASSP 2011: 1952-1955 - [c5]Juan Andrés Bazerque
Basis pursuit for spectrum cartography. ICASSP 2011: 2992-2995 - [c4]Gonzalo Mateos
Robust nonparametric regression by controlling sparsity. ICASSP 2011: 3880-3883 - [i2]Gonzalo Mateos, Georgios B. Giannakis:
Distributed Recursive Least-Squares: Stability and Performance Analysis. CoRR abs/1109.4627 (2011) - [i1]Gonzalo Mateos, Georgios B. Giannakis:
Robust PCA as Bilinear Decomposition with Outlier-Sparsity Regularization. CoRR abs/1111.1788 (2011) - 2010
- [j4]Gonzalo Mateos
Distributed sparse linear regression. IEEE Trans. Signal Process. 58(10): 5262-5276 (2010) - [c3]Juan Andrés Bazerque
Distributed Lasso for in-network linear regression. ICASSP 2010: 2978-2981 - [c2]Hao Zhu, Gonzalo Mateos
Sparsity-cognizant overlapping co-clustering for behavior inference in social networks. ICASSP 2010: 3534-3537
2000 – 2009
- 2009
- [j3]Gonzalo Mateos
Performance Analysis of the Consensus-Based Distributed LMS Algorithm. EURASIP J. Adv. Signal Process. 2009 (2009) - [j2]Ioannis D. Schizas, Gonzalo Mateos
Distributed LMS for consensus-based in-network adaptive processing. IEEE Trans. Signal Process. 57(6): 2365-2382 (2009) - [j1]Gonzalo Mateos
Distributed recursive least-squares for consensus-based in-network adaptive estimation. IEEE Trans. Signal Process. 57(11): 4583-4588 (2009) - 2008
- [c1]Ioannis D. Schizas, Gonzalo Mateos
Stability analysis of the consensus-based distributed LMS algorithm. ICASSP 2008: 3289-3292
Coauthor Index
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