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ORCIDBruno Ribeiro 0001
Bruno F. Ribeiro – Bruno F. M. Ribeiro
Person information
- affiliation: Purdue University, West Lafayette, IN, USA
- affiliation (former): Carnegie Mellon University, Pittsburgh, PA, USA
- affiliation (former): University of Massachusetts, Amherst, MA, USA
Other persons with the same name
- Bruno Ribeiro 0002
![[0000-0003-1037-6434]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-1037-6434")
— University of Minho, Braga, Portugal - Bruno Ribeiro 0003 (aka: B. J. F. Ribeiro) — Engineering University of Beira Interior, Department of Electromechanical, Portugal
- Bruno Ribeiro 0004 — The Ohio State University, USA
- Bruno Ribeiro 0005 — Universidade Nova de Lisboa, Portugal
- Bruno Ribeiro 0006 — Rio de Janeiro State University, RJ, Brazil
- Bruno Ribeiro 0007 — Samsung Institute of Development for Informatics, Campinas, Brazil
- Bruno Ribeiro 0008 — Polytechnic of Porto, GECAD, Portugal
- Bruno Ribeiro 0009 — Fraunhofer Portugal AICOS, Porto, Portugal
- Bruno Ribeiro 0010 — Federal University of Amazonas, Manaus, Brazil
- Bruno Ribeiro 0011 — University of Aveiro, DETI, Portugal
- Bruno Ribeiro 0012 — ATLAR Innovation, Pampilhosa da Serra, Portugal
Other persons with a similar name
- Bruno De Lemos Ribeiro Pinto Cardoso
- Bruno Henrique Ribeiro Da Fonseca
- Bruno Berto de Oliveira Ribeiro
- Bruno Brochado Ribeiro
- Bruno Luna Ribeiro
- Bruno M. Ribeiro
- Bruno de Paula Ribeiro
- Bruno Ribeiro-Gonçalves
- Bruno T. Ribeiro 0001 (aka: Bruno Teixeira Ribeiro) — Federal University of Lavras, Lavras, Brazil (and 1 more)
- Francisco Bruno Dias Ribeiro da Silva
- show all similar names
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2020 – today
- 2025
[c70]Kaiyuan Zhang, Siyuan Cheng, Guangyu Shen, Bruno Ribeiro, Shengwei An, Pin-Yu Chen, Xiangyu Zhang, Ninghui Li:
CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling. NDSS 2025- [i63]Kaiyuan Zhang, Siyuan Cheng, Guangyu Shen, Bruno Ribeiro, Shengwei An, Pin-Yu Chen, Xiangyu Zhang, Ninghui Li:
CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling. CoRR abs/2501.15718 (2025) - [i62]Thu Bui, Carola-Bibiane Schönlieb, Bruno Ribeiro, Beatrice Bevilacqua, Moshe Eliasof:
On the Effectiveness of Random Weights in Graph Neural Networks. CoRR abs/2502.00190 (2025) - [i61]Krishna Sri Ipsit Mantri, Carola-Bibiane Schönlieb, Bruno Ribeiro, Chaim Baskin, Moshe Eliasof:
DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations. CoRR abs/2502.06029 (2025) - [i60]Yucheng Zhang, Beatrice Bevilacqua, Mikhail Galkin, Bruno Ribeiro:
TRIX: A More Expressive Model for Zero-shot Domain Transfer in Knowledge Graphs. CoRR abs/2502.19512 (2025) - 2024
- [c69]Beatrice Bevilacqua, Moshe Eliasof, Eli A. Meirom, Bruno Ribeiro, Haggai Maron:
Efficient Subgraph GNNs by Learning Effective Selection Policies. ICLR 2024 - [c68]S. Chandra Mouli, Muhammad Ashraful Alam, Bruno Ribeiro:
MetaPhysiCa: Improving OOD Robustness in Physics-informed Machine Learning. ICLR 2024 - [c67]Michael Galkin, Jincheng Zhou, Bruno Ribeiro, Jian Tang, Zhaocheng Zhu:
A Foundation Model for Zero-shot Logical Query Reasoning. NeurIPS 2024 - [c66]Krishna Sri Ipsit Mantri, Xinzhi Wang, Carola-Bibiane Schönlieb, Bruno Ribeiro, Beatrice Bevilacqua, Moshe Eliasof:
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function. NeurIPS 2024 - [c65]Shirley Wu, Kaidi Cao, Bruno Ribeiro, James Y. Zou, Jure Leskovec:
GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts. NeurIPS 2024 - [c64]Abd AlRhman AlQiam, Yuanjun Yao, Zhaodong Wang, Satyajeet Singh Ahuja, Ying Zhang, Sanjay G. Rao, Bruno Ribeiro, Mohit Tawarmalani:
Transferable Neural WAN TE for Changing Topologies. SIGCOMM 2024: 86-102 - [c63]Mai Elkady, Thu Bui, Bruno Ribeiro, David I. Inouye:
Vertical Validation: Evaluating Implicit Generative Models for Graphs on Thin Support Regions. UAI 2024: 1232-1256 - [c62]Jiacheng Li, Ninghui Li, Bruno Ribeiro:
MIST: Defending Against Membership Inference Attacks Through Membership-Invariant Subspace Training. USENIX Security Symposium 2024 - [i59]Mikhail Galkin, Jincheng Zhou, Bruno F. Ribeiro, Jian Tang, Zhaocheng Zhu:
Zero-shot Logical Query Reasoning on any Knowledge Graph. CoRR abs/2404.07198 (2024) - [i58]Krishna Sri Ipsit Mantri, Xinzhi Wang, Carola-Bibiane Schönlieb, Bruno Ribeiro, Beatrice Bevilacqua, Moshe Eliasof:
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function. CoRR abs/2407.02013 (2024) - [i57]Mai Elkady, Thu Bui, Bruno Ribeiro, David I. Inouye:
Vertical Validation: Evaluating Implicit Generative Models for Graphs on Thin Support Regions. CoRR abs/2411.13358 (2024) - [i56]Parjanya Prashant, Seyedeh Baharan Khatami, Bruno Ribeiro, Babak Salimi:
Scalable Out-of-distribution Robustness in the Presence of Unobserved Confounders. CoRR abs/2411.19923 (2024) - 2023
- [j15]Leonardo Teixeira, Brian Jalaian, Bruno Ribeiro:
Reducing classifier overconfidence against adversaries through graph algorithms. Mach. Learn. 112(7): 2619-2651 (2023) - [c61]Xihui Wang, Ali Shakouri, Bruno Ribeiro, George T.-C. Chiu, Jan P. Allebach:
Active learning approaches to analysis of thin-film printed sensors for determining nitrate levels in soil. Color Imaging: Displaying, Processing, Hardcopy, and Applications 2023: 194:1-194:6 - [c60]Elisa Bertino, Hyunwoo Lee, Mengdie Huang, Charalampos Katsis, Zilin Shen, Bruno Ribeiro, Daniel De Mello, Ashish Kundu:
A Pro-Active Defense Framework for IoT Systems. CIC 2023: 125-132 - [c59]Jiacheng Li, Ninghui Li, Bruno Ribeiro:
Effective passive membership inference attacks in federated learning against overparameterized models. ICLR 2023 - [c58]Chandan Bothra, Jianfei Gao, Sanjay G. Rao, Bruno Ribeiro:
Veritas: Answering Causal Queries from Video Streaming Traces. SIGCOMM 2023: 738-753 - [i55]Leonardo Cotta, Beatrice Bevilacqua, Nesreen Ahmed, Bruno Ribeiro:
Causal Lifting and Link Prediction. CoRR abs/2302.01198 (2023) - [i54]Jianfei Gao, Yangze Zhou, Bruno Ribeiro:
Double Permutation Equivariance for Knowledge Graph Completion. CoRR abs/2302.01313 (2023) - [i53]S. Chandra Mouli, Muhammad Ashraful Alam, Bruno Ribeiro:
MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning. CoRR abs/2303.03181 (2023) - [i52]Jincheng Zhou, Beatrice Bevilacqua, Bruno Ribeiro:
An OOD Multi-Task Perspective for Link Prediction with New Relation Types and Nodes. CoRR abs/2307.06046 (2023) - [i51]Beatrice Bevilacqua, Moshe Eliasof, Eli A. Meirom, Bruno Ribeiro, Haggai Maron:
Efficient Subgraph GNNs by Learning Effective Selection Policies. CoRR abs/2310.20082 (2023) - [i50]Jiacheng Li, Ninghui Li, Bruno Ribeiro:
MIST: Defending Against Membership Inference Attacks Through Membership-Invariant Subspace Training. CoRR abs/2311.00919 (2023) - [i49]Shirley Wu, Kaidi Cao, Bruno Ribeiro, James Zou, Jure Leskovec:
GraphMETRO: Mitigating Complex Distribution Shifts in GNNs via Mixture of Aligned Experts. CoRR abs/2312.04693 (2023) - 2022
- [j14]Carlos H. C. Teixeira, Mayank Kakodkar, Vinícius Vitor dos Santos Dias, Wagner Meira Jr., Bruno Ribeiro:
Sequential stratified regeneration: MCMC for large state spaces with an application to subgraph count estimation. Data Min. Knowl. Discov. 36(1): 414-447 (2022) - [c57]S. Chandra Mouli, Bruno Ribeiro:
Asymmetry Learning for Counterfactually-invariant Classification in OOD Tasks. ICLR 2022 - [c56]Jianfei Gao, Bruno Ribeiro:
On the Equivalence Between Temporal and Static Equivariant Graph Representations. ICML 2022: 7052-7076 - [c55]Yangze Zhou, Gitta Kutyniok, Bruno Ribeiro:
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs. NeurIPS 2022 - [c54]Yun Seong Nam, Jianfei Gao, Chandan Bothra, Ehab Ghabashneh, Sanjay G. Rao, Bruno Ribeiro, Jibin Zhan, Hui Zhang:
Xatu: Richer Neural Network Based Prediction for Video Streaming. SIGMETRICS (Abstracts) 2022: 9-10 - [i48]Yangze Zhou, Gitta Kutyniok, Bruno Ribeiro:
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs. CoRR abs/2205.15117 (2022) - [i47]Chandan Bothra, Jianfei Gao, Sanjay G. Rao, Bruno Ribeiro:
Veritas: Answering Causal Queries from Video Streaming Traces. CoRR abs/2208.12596 (2022) - [i46]S. Chandra Mouli, Yangze Zhou, Bruno Ribeiro:
Bias Challenges in Counterfactual Data Augmentation. CoRR abs/2209.05104 (2022) - 2021
- [j13]Lisette Espín-Noboa, Fariba Karimi, Bruno Ribeiro, Kristina Lerman, Claudia Wagner:
Explaining classification performance and bias via network structure and sampling technique. Appl. Netw. Sci. 6(1): 78 (2021) - [j12]Wo Jae Lee, Kevin Xia, Nancy L. Denton, Bruno Ribeiro, John W. Sutherland:
Development of a speed invariant deep learning model with application to condition monitoring of rotating machinery. J. Intell. Manuf. 32(2): 393-406 (2021) - [j11]Yun Seong Nam, Jianfei Gao, Chandan Bothra, Ehab Ghabashneh, Sanjay G. Rao, Bruno Ribeiro, Jibin Zhan, Hui Zhang:
Xatu: Richer Neural Network Based Prediction for Video Streaming. Proc. ACM Meas. Anal. Comput. Syst. 5(3): 44:1-44:26 (2021) - [c53]Jiacheng Li, Ninghui Li, Bruno Ribeiro:
Membership Inference Attacks and Defenses in Classification Models. CODASPY 2021: 5-16 - [c52]S. Chandra Mouli, Bruno Ribeiro:
Neural Networks for Learning Counterfactual G-Invariances from Single Environments. ICLR 2021 - [c51]Beatrice Bevilacqua, Yangze Zhou, Bruno Ribeiro:
Size-Invariant Graph Representations for Graph Classification Extrapolations. ICML 2021: 837-851 - [c50]Mengyue Hang, Jennifer Neville, Bruno Ribeiro:
A Collective Learning Framework to Boost GNN Expressiveness for Node Classification. ICML 2021: 4040-4050 - [c49]Mohsen Minaei, S. Chandra Mouli, Mainack Mondal, Bruno Ribeiro, Aniket Kate:
Deceptive Deletions for Protecting Withdrawn Posts on Social Media Platforms. NDSS 2021 - [c48]Leonardo Cotta, Christopher Morris, Bruno Ribeiro:
Reconstruction for Powerful Graph Representations. NeurIPS 2021: 1713-1726 - [i45]Beatrice Bevilacqua, Yangze Zhou, Bruno Ribeiro:
Size-Invariant Graph Representations for Graph Classification Extrapolations. CoRR abs/2103.05045 (2021) - [i44]Jianfei Gao, Bruno Ribeiro:
On the Equivalence Between Temporal and Static Graph Representations for Observational Predictions. CoRR abs/2103.07016 (2021) - [i43]S. Chandra Mouli, Bruno Ribeiro:
Neural Networks for Learning Counterfactual G-Invariances from Single Environments. CoRR abs/2104.10105 (2021) - [i42]Leonardo Cotta, Christopher Morris, Bruno Ribeiro:
Reconstruction for Powerful Graph Representations. CoRR abs/2110.00577 (2021) - [i41]Mohamed A. Zahran, Leonardo Teixeira, Vinayak A. Rao, Bruno Ribeiro:
Contextual Unsupervised Outlier Detection in Sequences. CoRR abs/2111.03808 (2021) - [i40]Yangze Zhou, Vinayak A. Rao, Bruno Ribeiro:
Set Twister for Single-hop Node Classification. CoRR abs/2112.09752 (2021) - 2020
- [j10]Mandana Saebi, Jian Xu, Lance M. Kaplan, Bruno Ribeiro, Nitesh V. Chawla:
Efficient modeling of higher-order dependencies in networks: from algorithm to application for anomaly detection. EPJ Data Sci. 9(1): 15 (2020) - [j9]Guangyu Li, Yong Liu, Bruno Ribeiro, Hao Ding:
On New Group Popularity Prediction in Event-Based Social Networks. IEEE Trans. Netw. Sci. Eng. 7(3): 1239-1250 (2020) - [c47]Jianfei Gao, Mohamed A. Zahran, Amit Sheoran, Sonia Fahmy, Bruno Ribeiro:
Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations. AAAI 2020: 3922-3929 - [c46]Huangyi Ge, Sze Yiu Chau, Bruno Ribeiro, Ninghui Li:
Random Spiking and Systematic Evaluation of Defenses Against Adversarial Examples. CODASPY 2020: 85-96 - [c45]Balasubramaniam Srinivasan, Bruno Ribeiro:
On the Equivalence between Positional Node Embeddings and Structural Graph Representations. ICLR 2020 - [c44]Amit Sheoran, Sonia Fahmy, Matthew Osinski, Chunyi Peng, Bruno Ribeiro, Jia Wang:
Experience: towards automated customer issue resolution in cellular networks. MobiCom 2020: 46:1-46:13 - [c43]Leonardo Cotta, Carlos H. C. Teixeira, Ananthram Swami, Bruno Ribeiro:
Unsupervised Joint k-node Graph Representations with Compositional Energy-Based Models. NeurIPS 2020 - [c42]Panchapakesan C. Sruthi, Sanjay G. Rao, Bruno Ribeiro:
Pitfalls of data-driven networking: A case study of latent causal confounders in video streaming. NetAI@SIGCOMM 2020: 42-47 - [i39]Jianfei Gao, Mohamed A. Zahran, Amit Sheoran, Sonia Fahmy, Bruno Ribeiro:
Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations. CoRR abs/2002.04186 (2020) - [i38]Jiacheng Li, Ninghui Li, Bruno Ribeiro:
Membership Inference Attacks and Defenses in Supervised Learning via Generalization Gap. CoRR abs/2002.12062 (2020) - [i37]Mengyue Hang, Jennifer Neville, Bruno Ribeiro:
A Collective Learning Framework to Boost GNN Expressiveness. CoRR abs/2003.12169 (2020) - [i36]Mohsen Minaei, S. Chandra Mouli, Mainack Mondal, Bruno Ribeiro, Aniket Kate:
Deceptive Deletions for Protecting Withdrawn Posts on Social Platforms. CoRR abs/2005.14113 (2020) - [i35]Leonardo Cotta, Carlos H. C. Teixeira, Ananthram Swami, Bruno Ribeiro:
Unsupervised Joint k-node Graph Representations with Compositional Energy-Based Models. CoRR abs/2010.04259 (2020) - [i34]Carlos H. C. Teixeira, Mayank Kakodkar, Vinícius Vitor dos Santos Dias, Wagner Meira Jr., Bruno Ribeiro:
Sequential Stratified Regeneration: MCMC for Large State Spaces with an Application to Subgraph Counting Estimation. CoRR abs/2012.03879 (2020)
2010 – 2019
- 2019
- [j8]Pinghui Wang, Junzhou Zhao, Bruno Ribeiro, John C. S. Lui, Don Towsley, Xiaohong Guan:
Practical characterization of large networks using neighborhood information. Knowl. Inf. Syst. 58(3): 701-728 (2019) - [j7]Fabricio Murai, Bruno Ribeiro, Don Towsley, Pinghui Wang:
Characterizing Directed and Undirected Networks via Multidimensional Walks with Jumps. ACM Trans. Knowl. Discov. Data 13(1): 11:1-11:33 (2019) - [c41]Ryan L. Murphy, Balasubramaniam Srinivasan, Vinayak A. Rao, Bruno Ribeiro:
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs. ICLR (Poster) 2019 - [c40]Ryan L. Murphy, Balasubramaniam Srinivasan, Vinayak A. Rao, Bruno Ribeiro:
Relational Pooling for Graph Representations. ICML 2019: 4663-4673 - [c39]Bruno Ribeiro:
GrAPL Keynote 2. IPDPS Workshops 2019: 261 - [c38]Changping Meng, Jiasen Yang, Bruno Ribeiro, Jennifer Neville:
HATS: A Hierarchical Sequence-Attention Framework for Inductive Set-of-Sets Embeddings. KDD 2019: 783-792 - [c37]Natalie Linnell, Phil Gonsalves, Mayank Kakodkar, Vanessa Martinez, Tim Urdan, Bruno Ribeiro, Janice Zdankus:
Curated Pathways to Innovation: Personalized CS Education to Promote Diversity. SIGCSE 2019: 1277 - [i33]Ryan L. Murphy, Balasubramaniam Srinivasan, Vinayak A. Rao, Bruno Ribeiro:
Relational Pooling for Graph Representations. CoRR abs/1903.02541 (2019) - [i32]Leonardo Teixeira, Brian Jalaian, Bruno Ribeiro:
Are Graph Neural Networks Miscalibrated? CoRR abs/1905.02296 (2019) - [i31]Balasubramaniam Srinivasan, Bruno Ribeiro:
On the Equivalence between Node Embeddings and Structural Graph Representations. CoRR abs/1910.00452 (2019) - [i30]S. Chandra Mouli, Leonardo Teixeira, Jennifer Neville, Bruno Ribeiro:
Deep Lifetime Clustering. CoRR abs/1910.00547 (2019) - 2018
- [j6]Fabricio Murai, Diogo Rennó, Bruno Ribeiro, Gisele L. Pappa, Don Towsley, Krista Gile:
Selective harvesting over networks. Data Min. Knowl. Discov. 32(1): 187-217 (2018) - [j5]Vladyslav Fedchenko, Giovanni Neglia, Bruno Ribeiro:
Feedforward Neural Networks for Caching: n Enough or Too Much? SIGMETRICS Perform. Evaluation Rev. 46(3): 139-142 (2018) - [c36]Changping Meng, S. Chandra Mouli, Bruno Ribeiro, Jennifer Neville:
Subgraph Pattern Neural Networks for High-Order Graph Evolution Prediction. AAAI 2018: 3778-3787 - [c35]Pedro H. P. Savarese, Mayank Kakodkar, Bruno Ribeiro:
From Monte Carlo to Las Vegas: Improving Restricted Boltzmann Machine Training Through Stopping Sets. AAAI 2018: 4016-4025 - [c34]Carlos H. C. Teixeira, Leornado Cotta, Bruno Ribeiro, Wagner Meira Jr.:
Graph Pattern Mining and Learning through User-Defined Relations. ICDM 2018: 1266-1271 - [c33]Guangyu Li, Yong Liu, Bruno Ribeiro, Hao Ding:
On Group Popularity Prediction in Event-Based Social Networks. ICWSM 2018: 644-647 - [c32]Kun Tu, Bruno Ribeiro, Ananthram Swami, Don Towsley:
Tracking Groups in Mobile Network Traces. NetAI@SIGCOMM 2018: 35-40 - [c31]Zahaib Akhtar, Yun Seong Nam, Ramesh Govindan, Sanjay G. Rao, Jessica Chen, Ethan Katz-Bassett, Bruno Ribeiro, Jibin Zhan, Hui Zhang:
Oboe: auto-tuning video ABR algorithms to network conditions. SIGCOMM 2018: 44-58 - [c30]Mohamed S. Hassan, Bruno Ribeiro, Walid G. Aref:
SBG-sketch: a self-balanced sketch for labeled-graph stream summarization. SSDBM 2018: 3:1-3:12 - [i29]Carlos H. C. Teixeira, Leonardo Cotta, Bruno Ribeiro, Wagner Meira Jr.:
Graph Pattern Mining and Learning through User-defined Relations (Extended Version). CoRR abs/1809.05241 (2018) - [i28]Vladyslav Fedchenko, Giovanni Neglia, Bruno Ribeiro:
Feedforward Neural Networks for Caching: Enough or Too Much? CoRR abs/1810.06930 (2018) - [i27]Ryan L. Murphy, Balasubramaniam Srinivasan, Vinayak A. Rao, Bruno Ribeiro:
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs. CoRR abs/1811.01900 (2018) - 2017
- [c29]Jiasen Yang, Bruno Ribeiro, Jennifer Neville:
Should We Be Confident in Peer Effects Estimated From Social Network Crawls? ICWSM 2017: 708-711 - [i26]S. Chandra Mouli, Abhishek Naik, Bruno Ribeiro, Jennifer Neville:
Identifying User Survival Types via Clustering of Censored Social Network Data. CoRR abs/1703.03401 (2017) - [i25]Fabricio Murai, Diogo Rennó, Bruno Ribeiro, Gisele L. Pappa, Don Towsley, Krista Gile:
Selective Harvesting over Networks. CoRR abs/1703.05082 (2017) - [i24]Fabricio Murai, Bruno F. Ribeiro, Don Towsley, Pinghui Wang:
Characterizing Directed and Undirected Networks via Multidimensional Walks with Jumps. CoRR abs/1703.08252 (2017) - [i23]Jiasen Yang, Bruno Ribeiro, Jennifer Neville:
Stochastic Gradient Descent for Relational Logistic Regression via Partial Network Crawls. CoRR abs/1707.07716 (2017) - [i22]Mohamed S. Hassan, Bruno Ribeiro, Walid G. Aref:
SBG-Sketch: A Self-Balanced Sketch for Labeled-Graph Stream Summarization. CoRR abs/1709.06723 (2017) - [i21]Pedro H. P. Savarese, Mayank Kakodkar, Bruno Ribeiro:
From Monte Carlo to Las Vegas: Improving Restricted Boltzmann Machine Training Through Stopping Sets. CoRR abs/1711.08442 (2017) - [i20]Jian Xu, Mandana Saebi, Bruno Ribeiro, Lance M. Kaplan, Nitesh V. Chawla:
Detecting Anomalies in Sequential Data with Higher-order Networks. CoRR abs/1712.09658 (2017) - 2016
- [c28]Flavio V. D. de Figueiredo, Bruno Ribeiro, Christos Faloutsos, Nazareno Andrade, Jussara M. Almeida:
Mining Online Music Listening Trajectories. ISMIR 2016: 688-694 - [c27]Konstantin Avrachenkov, Bruno F. Ribeiro, Jithin Kazuthuveettil Sreedharan:
Inference in OSNs via Lightweight Partial Crawls. SIGMETRICS 2016: 165-177 - [c26]Bo Jiang, Daniel R. Figueiredo, Bruno F. Ribeiro, Don Towsley:
On the Duration and Intensity of Competitions in Nonlinear Pólya Urn Processes with Fitness. SIGMETRICS 2016: 299-310 - [c25]Flavio V. D. de Figueiredo, Bruno Ribeiro, Jussara M. Almeida, Christos Faloutsos:
TribeFlow: Mining & Predicting User Trajectories. WWW 2016: 695-706 - [i19]Bo Jiang, Daniel R. Figueiredo, Bruno F. Ribeiro, Don Towsley:
On the Duration and Intensity of Competitions in Nonlinear Pólya Urn Processes with Fitness. CoRR abs/1604.02097 (2016) - [i18]Kun Tu, Bruno F. Ribeiro, Ananthram Swami, Don Towsley:
Detecting Cluster with Temporal Information in Sparse Dynamic Graph. CoRR abs/1605.08074 (2016) - 2015
- [c24]Bruno Ribeiro, Christos Faloutsos:
Modeling Website Popularity Competition in the Attention-Activity Marketplace. WSDM 2015: 389-398 - [c23]Bruno Ribeiro, Minh X. Hoang, Ambuj K. Singh:
Beyond Models: Forecasting Complex Network Processes Directly from Data. WWW 2015: 885-895 - [c22]Bruno Ribeiro:
Challenges of Forecasting and Measuring a Complex Networked World. WWW (Companion Volume) 2015: 1067 - [i17]Konstantin Avrachenkov, Bruno F. Ribeiro, Jithin Kazuthuveettil Sreedharan:
Bayesian Inference of Online Social Network Statistics via Lightweight Random Walk Crawls. CoRR abs/1510.05407 (2015) - [i16]Flavio V. D. de Figueiredo, Bruno Ribeiro, Jussara M. Almeida, Christos Faloutsos:
TribeFlow: Mining & Predicting User Trajectories. CoRR abs/1511.01032 (2015) - 2014
- [j4]Pinghui Wang, John C. S. Lui, Bruno F. Ribeiro, Don Towsley, Junzhou Zhao, Xiaohong Guan:
Efficiently Estimating Motif Statistics of Large Networks. ACM Trans. Knowl. Discov. Data 9(2): 8:1-8:27 (2014) - [c21]Ting-Kai Huang, Bruno Ribeiro, Harsha V. Madhyastha, Michalis Faloutsos:
The socio-monetary incentives of online social network malware campaigns. COSN 2014: 259-270 - [c20]Konstantin Avrachenkov, Prithwish Basu, Giovanni Neglia, Bruno F. Ribeiro, Donald F. Towsley:
Pay few, influence most: Online myopic network covering. INFOCOM Workshops 2014: 813-818 - [c19]Flavio V. D. de Figueiredo, Jussara M. Almeida, Yasuko Matsubara, Bruno Ribeiro, Christos Faloutsos:
Revisit Behavior in Social Media: The Phoenix-R Model and Discoveries. ECML/PKDD (1) 2014: 386-401 - [c18]Bruno Ribeiro:
Modeling and predicting the growth and death of membership-based websites. WWW 2014: 653-664 - [c17]James Atwood, Bruno F. Ribeiro, Don Towsley:
Efficient network generation under general preferential attachment. WWW (Companion Volume) 2014: 695-700 - [c16]Yeon-Sup Lim, Bruno F. Ribeiro, Don Towsley:
Classifying latent infection states in complex networks. WWW (Companion Volume) 2014: 719-722 - [c15]Kun Tu, Bruno F. Ribeiro, David D. Jensen, Don Towsley, Benyuan Liu, Hua Jiang, Xiaodong Wang:
Online dating recommendations: matching markets and learning preferences. WWW (Companion Volume) 2014: 787-792 - [p1]Peng Xia, Kun Tu, Bruno F. Ribeiro, Hua Jiang, Xiaodong Wang, Cindy X. Chen, Benyuan Liu, Don Towsley:
Characterization of User Online Dating Behavior and Preference on a Large Online Dating Site. Social Network Analysis 2014: 193-217 - [i15]Peng Xia, Kun Tu, Bruno F. Ribeiro, Hua Jiang, Xiaodong Wang, Cindy X. Chen, Benyuan Liu, Don Towsley:
Who is Dating Whom: Characterizing User Behaviors of a Large Online Dating Site. CoRR abs/1401.5710 (2014) - [i14]Kun Tu, Bruno F. Ribeiro, Hua Jiang, Xiaodong Wang, David D. Jensen, Benyuan Liu, Don Towsley:
Online Dating Recommendations: Matching Markets and Learning Preferences. CoRR abs/1401.8042 (2014) - [i13]Yeon-Sup Lim, Bruno F. Ribeiro, Don Towsley:
Classifying Latent Infection States in Complex Networks. CoRR abs/1402.0013 (2014) - [i12]Bruno Ribeiro, Christos Faloutsos:
Modeling Website Popularity Competition in the Attention-Activity Marketplace. CoRR abs/1403.0600 (2014) - [i11]James Atwood, Bruno F. Ribeiro, Don Towsley:
Efficient Network Generation Under General Preferential Attachment. CoRR abs/1403.4521 (2014) - [i10]Flavio V. D. de Figueiredo, Jussara M. Almeida, Yasuko Matsubara, Bruno Ribeiro, Christos Faloutsos:
Revisit Behavior in Social Media: The Phoenix-R Model and Discoveries. CoRR abs/1405.1459 (2014) - 2013
- [j3]Fabricio Murai, Bruno F. Ribeiro, Don Towsley, Pinghui Wang:
On Set Size Distribution Estimation and the Characterization of Large Networks via Sampling. IEEE J. Sel. Areas Commun. 31(6): 1017-1025 (2013) - [c14]Peng Xia, Bruno F. Ribeiro, Cindy X. Chen, Benyuan Liu, Don Towsley:
A study of user behavior on an online dating site. ASONAM 2013: 243-247 - [c13]Fabricio Murai, Bruno F. Ribeiro, Donald F. Towsley, Krista Gile:
Characterizing branching processes from sampled data. WWW (Companion Volume) 2013: 805-812 - [i9]Pinghui Wang, John C. S. Lui, Junzhou Zhao, Bruno F. Ribeiro, Don Towsley, Xiaohong Guan:
Efficiently Estimating Subgraph Statistics of Large Networks in the Dark. CoRR abs/1306.5288 (2013) - [i8]Bruno Ribeiro:
Understanding the growth and death of online social networks: evidence and model. CoRR abs/1307.1354 (2013) - [i7]Pinghui Wang, Bruno F. Ribeiro, Junzhou Zhao, John C. S. Lui, Don Towsley, Xiaohong Guan:
Practical Characterization of Large Networks Using Neighborhood Information. CoRR abs/1311.3037 (2013) - 2012
- [c12]Bruno F. Ribeiro, Don Towsley:
On the estimation accuracy of degree distributions from graph sampling. CDC 2012: 5240-5247 - [c11]Bruno F. Ribeiro, Prithwish Basu, Don Towsley:
Multiple random walks to uncover short paths in power law networks. INFOCOM Workshops 2012: 250-255 - [c10]Bruno F. Ribeiro, Pinghui Wang, Fabricio Murai, Don Towsley:
Sampling directed graphs with random walks. INFOCOM 2012: 1692-1700 - [c9]Daniel R. Figueiredo, Philippe Nain, Bruno F. Ribeiro, Edmundo de Souza e Silva, Don Towsley:
Characterizing continuous time random walks on time varying graphs. SIGMETRICS 2012: 307-318 - [i6]Bruno F. Ribeiro, Prithwish Basu, Don Towsley:
Multiple Random Walks to Uncover Short Paths in Power Law Networks. CoRR abs/1205.5925 (2012) - [i5]Fabricio Murai, Bruno F. Ribeiro, Don Towsley, Pinghui Wang:
On Set Size Distribution Estimation and the Characterization of Large Networks via Sampling. CoRR abs/1209.0736 (2012) - [i4]Bruno F. Ribeiro, Nicola Perra, Andrea Baronchelli:
Quantifying the effect of temporal resolution in time-varying network. CoRR abs/1211.7052 (2012) - [i3]Konstantin Avrachenkov, Prithwish Basu, Giovanni Neglia, Bruno F. Ribeiro, Don Towsley:
Online Myopic Network Covering. CoRR abs/1212.5035 (2012) - 2011
- [c8]Bruno F. Ribeiro, Daniel R. Figueiredo, Edmundo de Souza e Silva, Donald F. Towsley:
Characterizing continuous-time random walks on dynamic networks. SIGMETRICS 2011: 151-152 - [i2]Daniel R. Figueiredo, Bruno F. Ribeiro, Edmundo de Souza e Silva, Don Towsley:
Characterizing Random Walks on Dynamic Graphs. CoRR abs/1112.5762 (2011) - 2010
- [j2]William Gauvin, Bruno F. Ribeiro, Donald F. Towsley, Benyuan Liu, Jie Wang:
Measurement and gender-specific analysis of user publishing characteristics on MySpace. IEEE Netw. 24(5): 38-43 (2010) - [c7]Bruno F. Ribeiro, Donald F. Towsley:
Estimating and sampling graphs with multidimensional random walks. Internet Measurement Conference 2010: 390-403 - [c6]Konstantin Avrachenkov, Bruno F. Ribeiro, Donald F. Towsley:
Improving Random Walk Estimation Accuracy with Uniform Restarts. WAW 2010: 98-109 - [i1]Bruno F. Ribeiro, Donald F. Towsley:
Estimating and Sampling Graphs with Multidimensional Random Walks. CoRR abs/1002.1751 (2010)
2000 – 2009
- 2008
- [c5]Bruno F. Ribeiro, Tao Ye, Donald F. Towsley:
A resource-minimalist flow size histogram estimator. Internet Measurement Conference 2008: 285-290 - [c4]Bruno F. Ribeiro, Weifeng Chen, Gerome Miklau, Donald F. Towsley:
Analyzing Privacy in Enterprise Packet Trace Anonymization. NDSS 2008 - 2006
- [c3]Bruno F. Ribeiro, Donald F. Towsley, Tao Ye, Jean Bolot:
Fisher information of sampled packets: an application to flow size estimation. Internet Measurement Conference 2006: 15-26 - 2005
- [c2]Weifeng Chen, Yong Huang, Bruno F. Ribeiro, Kyoungwon Suh, Honggang Zhang, Edmundo de Souza e Silva, James F. Kurose, Donald F. Towsley:
Exploiting the IPID Field to Infer Network Path and End-System Characteristics. PAM 2005: 108-120 - 2001
- [j1]Severino Collier Coutinho, Bruno F. M. Ribeiro:
On Holomorphic Foliations Without Algebraic Solutions. Exp. Math. 10(4): 529-536 (2001) - [c1]Bruno F. M. Ribeiro, Paulo H. de A. Rodrigues, Cesar Marcondes:
A SIP/H.323 Signaling Gateway Implementation for IP Telephony. LANOMS 2001: 207-218
Coauthor Index
Don Towsley
aka: Donald F. Towsley
aka: Donald F. Towsley
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