Bruno Ribeiro - RankMe

121 papers A* 36A 7B 1Journal 63Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Membership Inference Attacks Against Fine-tuned Diffusion Language Models. CoRR Yuetian Chen, Kaiyuan Zhang, Yuntao Du, Edoardo Stoppa, Charles Fleming, Ashish Kundu, Bruno Ribeiro, Ninghui Li
2026	J	`jnl`	Window-based Membership Inference Attacks Against Fine-tuned Large Language Models. CoRR Yuetian Chen, Yuntao Du, Kaiyuan Zhang, Ashish Kundu, Charles Fleming, Bruno Ribeiro, Ninghui Li
2025	J	`jnl`	Boosting Relational Deep Learning with Pretrained Tabular Models. CoRR Veronica Lachi, Antonio Longa, Beatrice Bevilacqua, Bruno Lepri, Andrea Passerini, Bruno Ribeiro
2025	A*	`conf`	CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling. NDSS Kaiyuan Zhang, Siyuan Cheng, Guangyu Shen, Bruno Ribeiro, Shengwei An, Pin-Yu Chen, Xiangyu Zhang, Ninghui Li
2025	J	`jnl`	CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling. CoRR Kaiyuan Zhang, Siyuan Cheng, Guangyu Shen, Bruno Ribeiro, Shengwei An, Pin-Yu Chen, Xiangyu Zhang, Ninghui Li
2025	J	`jnl`	Cascading and Proxy Membership Inference Attacks. CoRR Yuntao Du, Jiacheng Li, Yuetian Chen, Kaiyuan Zhang, Zhizhen Yuan, Hanshen Xiao, Bruno Ribeiro, Ninghui Li
2025	A*	`conf`	Castle: Causal Cascade Updates in Relational Databases with Large Language Models. EMNLP Yongye Su, Yucheng Zhang, Zeru Shi, Bruno Ribeiro, Elisa Bertino
2025	A	`conf`	Constraint-based Causal Discovery from a Collection of Conditioning Sets. UAI Kenneth Lee, Bruno Ribeiro, Murat Kocaoglu
2025	A*	`conf`	DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations. CVPR Krishna Sri Ipsit Mantri, Carola-Bibiane Schönlieb, Bruno Ribeiro, Chaim Baskin, Moshe Eliasof
2025	J	`jnl`	DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations. CoRR Krishna Sri Ipsit Mantri, Carola-Bibiane Schönlieb, Bruno Ribeiro, Chaim Baskin, Moshe Eliasof
2025	J	`jnl`	Differentiable Constraint-Based Causal Discovery. CoRR Jincheng Zhou, Mengbo Wang, Anqi He, Yumeng Zhou, Hessam Olya, Murat Kocaoglu, Bruno Ribeiro
2025	A*	`conf`	Hattrick: Solving Multi-Class TE using Neural Models. SIGCOMM Abd AlRhman AlQiam, Zhuocong Li, Satyajeet Singh Ahuja, Zhaodong Wang, Ying Zhang, Sanjay G. Rao, Bruno Ribeiro, Mohit Tawarmalani
2025	A*	`conf`	Holographic Node Representations: Pre-training Task-Agnostic Node Embeddings. ICLR Beatrice Bevilacqua, Joshua Robinson, Jure Leskovec, Bruno Ribeiro
2025	J	`jnl`	Imitative Membership Inference Attack. CoRR Yuntao Du, Yuetian Chen, Hanshen Xiao, Bruno Ribeiro, Ninghui Li
2025	J	`jnl`	On the Effectiveness of Random Weights in Graph Neural Networks. CoRR Thu Bui, Carola-Bibiane Schönlieb, Bruno Ribeiro, Beatrice Bevilacqua, Moshe Eliasof
2025	A	`conf`	Scalable Out-of-Distribution Robustness in the Presence of Unobserved Confounders. AISTATS Parjanya Prajakta Prashant, Seyedeh Baharan Khatami, Bruno Ribeiro, Babak Salimi
2025	J	`jnl`	TRIX: A More Expressive Model for Zero-shot Domain Transfer in Knowledge Graphs. CoRR Yucheng Zhang, Beatrice Bevilacqua, Mikhail Galkin, Bruno Ribeiro
2025	A*	`conf`	Zero-Shot Generalization of GNNs over Distinct Attribute Domains. ICML Yangyi Shen, Jincheng Zhou, Beatrice Bevilacqua, Joshua Robinson, Charilaos I. Kanatsoulis, Jure Leskovec, Bruno Ribeiro
2024	A*	`conf`	A Foundation Model for Zero-shot Logical Query Reasoning. NeurIPS Michael Galkin, Jincheng Zhou, Bruno Ribeiro, Jian Tang, Zhaocheng Zhu
2024	A*	`conf`	DiGRAF: Diffeomorphic Graph-Adaptive Activation Function. NeurIPS Krishna Sri Ipsit Mantri, Xinzhi Wang, Carola-Bibiane Schönlieb, Bruno Ribeiro, Beatrice Bevilacqua, Moshe Eliasof
2024	J	`jnl`	DiGRAF: Diffeomorphic Graph-Adaptive Activation Function. CoRR Krishna Sri Ipsit Mantri, Xinzhi Wang, Carola-Bibiane Schönlieb, Bruno Ribeiro, Beatrice Bevilacqua, Moshe Eliasof
2024	A*	`conf`	Efficient Subgraph GNNs by Learning Effective Selection Policies. ICLR Beatrice Bevilacqua, Moshe Eliasof, Eli A. Meirom, Bruno Ribeiro, Haggai Maron
2024	A*	`conf`	GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts. NeurIPS Shirley Wu, Kaidi Cao, Bruno Ribeiro, James Y. Zou, Jure Leskovec
2024	A*	`conf`	MIST: Defending Against Membership Inference Attacks Through Membership-Invariant Subspace Training. USENIX Security Symposium Jiacheng Li, Ninghui Li, Bruno Ribeiro
2024	A*	`conf`	MetaPhysiCa: Improving OOD Robustness in Physics-informed Machine Learning. ICLR S. Chandra Mouli, Muhammad Ashraful Alam, Bruno Ribeiro
2024	J	`jnl`	Scalable Out-of-distribution Robustness in the Presence of Unobserved Confounders. CoRR Parjanya Prashant, Seyedeh Baharan Khatami, Bruno Ribeiro, Babak Salimi
2024	—	`conf`	TRIX: A More Expressive Model for Zero-Shot Domain Transfer in Knowledge Graphs. LoG Yucheng Zhang, Beatrice Bevilacqua, Mikhail Galkin, Bruno Ribeiro
2024	A*	`conf`	Transferable Neural WAN TE for Changing Topologies. SIGCOMM Abd AlRhman AlQiam, Yuanjun Yao, Zhaodong Wang, Satyajeet Singh Ahuja, Ying Zhang, Sanjay G. Rao, Bruno Ribeiro, Mohit Tawarmalani
2024	A	`conf`	Vertical Validation: Evaluating Implicit Generative Models for Graphs on Thin Support Regions. UAI Mai Elkady, Thu Bui, Bruno Ribeiro, David I. Inouye
2024	J	`jnl`	Vertical Validation: Evaluating Implicit Generative Models for Graphs on Thin Support Regions. CoRR Mai Elkady, Thu Bui, Bruno Ribeiro, David I. Inouye
2023	—	`conf`	A Pro-Active Defense Framework for IoT Systems. CIC Elisa Bertino, Hyunwoo Lee, Mengdie Huang, Charalampos Katsis, Zilin Shen, Bruno Ribeiro, Daniel De Mello, Ashish Kundu
2023	—	`conf`	Active learning approaches to analysis of thin-film printed sensors for determining nitrate levels in soil. Color Imaging: Displaying, Processing, Hardcopy, and Applications Xihui Wang, Ali Shakouri, Bruno Ribeiro, George T.-C. Chiu, Jan P. Allebach
2023	J	`jnl`	An OOD Multi-Task Perspective for Link Prediction with New Relation Types and Nodes. CoRR Jincheng Zhou, Beatrice Bevilacqua, Bruno Ribeiro
2023	J	`jnl`	Causal Lifting and Link Prediction. CoRR Leonardo Cotta, Beatrice Bevilacqua, Nesreen Ahmed, Bruno Ribeiro
2023	J	`jnl`	Double Permutation Equivariance for Knowledge Graph Completion. CoRR Jianfei Gao, Yangze Zhou, Bruno Ribeiro
2023	A*	`conf`	Effective passive membership inference attacks in federated learning against overparameterized models. ICLR Jiacheng Li, Ninghui Li, Bruno Ribeiro
2023	J	`jnl`	Efficient Subgraph GNNs by Learning Effective Selection Policies. CoRR Beatrice Bevilacqua, Moshe Eliasof, Eli A. Meirom, Bruno Ribeiro, Haggai Maron
2023	J	`jnl`	GraphMETRO: Mitigating Complex Distribution Shifts in GNNs via Mixture of Aligned Experts. CoRR Shirley Wu, Kaidi Cao, Bruno Ribeiro, James Zou, Jure Leskovec
2023	J	`jnl`	MIST: Defending Against Membership Inference Attacks Through Membership-Invariant Subspace Training. CoRR Jiacheng Li, Ninghui Li, Bruno Ribeiro
2023	J	`jnl`	MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning. CoRR S. Chandra Mouli, Muhammad Ashraful Alam, Bruno Ribeiro
2023	J	`jnl`	Reducing classifier overconfidence against adversaries through graph algorithms. Mach. Learn. Leonardo Teixeira, Brian Jalaian, Bruno Ribeiro
2023	A*	`conf`	Veritas: Answering Causal Queries from Video Streaming Traces. SIGCOMM Chandan Bothra, Jianfei Gao, Sanjay G. Rao, Bruno Ribeiro
2022	A*	`conf`	Asymmetry Learning for Counterfactually-invariant Classification in OOD Tasks. ICLR S. Chandra Mouli, Bruno Ribeiro
2022	J	`jnl`	Bias Challenges in Counterfactual Data Augmentation. CoRR S. Chandra Mouli, Yangze Zhou, Bruno Ribeiro
2022	A*	`conf`	OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs. NeurIPS Yangze Zhou, Gitta Kutyniok, Bruno Ribeiro
2022	J	`jnl`	OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs. CoRR Yangze Zhou, Gitta Kutyniok, Bruno Ribeiro
2022	A*	`conf`	On the Equivalence Between Temporal and Static Equivariant Graph Representations. ICML Jianfei Gao, Bruno Ribeiro
2022	J	`jnl`	Sequential stratified regeneration: MCMC for large state spaces with an application to subgraph count estimation. Data Min. Knowl. Discov. Carlos H. C. Teixeira, Mayank Kakodkar, Vinícius Vitor dos Santos Dias, Wagner Meira Jr., Bruno Ribeiro
2022	J	`jnl`	Veritas: Answering Causal Queries from Video Streaming Traces. CoRR Chandan Bothra, Jianfei Gao, Sanjay G. Rao, Bruno Ribeiro
2022	—	`conf`	Xatu: Richer Neural Network Based Prediction for Video Streaming. SIGMETRICS (Abstracts) Yun Seong Nam, Jianfei Gao, Chandan Bothra, Ehab Ghabashneh, Sanjay G. Rao, Bruno Ribeiro, Jibin Zhan, Hui Zhang
2021	A*	`conf`	A Collective Learning Framework to Boost GNN Expressiveness for Node Classification. ICML Mengyue Hang, Jennifer Neville, Bruno Ribeiro
2021	J	`jnl`	Contextual Unsupervised Outlier Detection in Sequences. CoRR Mohamed A. Zahran, Leonardo Teixeira, Vinayak A. Rao, Bruno Ribeiro
2021	A*	`conf`	Deceptive Deletions for Protecting Withdrawn Posts on Social Media Platforms. NDSS Mohsen Minaei, S. Chandra Mouli, Mainack Mondal, Bruno Ribeiro, Aniket Kate
2021	J	`jnl`	Development of a speed invariant deep learning model with application to condition monitoring of rotating machinery. J. Intell. Manuf. Wo Jae Lee, Kevin Xia, Nancy L. Denton, Bruno Ribeiro, John W. Sutherland
2021	J	`jnl`	Explaining classification performance and bias via network structure and sampling technique. Appl. Netw. Sci. Lisette Espín-Noboa, Fariba Karimi, Bruno Ribeiro, Kristina Lerman, Claudia Wagner
2021	—	`conf`	Membership Inference Attacks and Defenses in Classification Models. CODASPY Jiacheng Li, Ninghui Li, Bruno Ribeiro
2021	A*	`conf`	Neural Networks for Learning Counterfactual G-Invariances from Single Environments. ICLR S. Chandra Mouli, Bruno Ribeiro
2021	J	`jnl`	Neural Networks for Learning Counterfactual G-Invariances from Single Environments. CoRR S. Chandra Mouli, Bruno Ribeiro
2021	J	`jnl`	On the Equivalence Between Temporal and Static Graph Representations for Observational Predictions. CoRR Jianfei Gao, Bruno Ribeiro
2021	A*	`conf`	Reconstruction for Powerful Graph Representations. NeurIPS Leonardo Cotta, Christopher Morris, Bruno Ribeiro
2021	J	`jnl`	Reconstruction for Powerful Graph Representations. CoRR Leonardo Cotta, Christopher Morris, Bruno Ribeiro
2021	J	`jnl`	Set Twister for Single-hop Node Classification. CoRR Yangze Zhou, Vinayak A. Rao, Bruno Ribeiro
2021	A*	`conf`	Size-Invariant Graph Representations for Graph Classification Extrapolations. ICML Beatrice Bevilacqua, Yangze Zhou, Bruno Ribeiro
2021	J	`jnl`	Size-Invariant Graph Representations for Graph Classification Extrapolations. CoRR Beatrice Bevilacqua, Yangze Zhou, Bruno Ribeiro
2021	J	`jnl`	Xatu: Richer Neural Network Based Prediction for Video Streaming. Proc. ACM Meas. Anal. Comput. Syst. Yun Seong Nam, Jianfei Gao, Chandan Bothra, Ehab Ghabashneh, Sanjay G. Rao, Bruno Ribeiro, Jibin Zhan, Hui Zhang
2020	J	`jnl`	A Collective Learning Framework to Boost GNN Expressiveness. CoRR Mengyue Hang, Jennifer Neville, Bruno Ribeiro
2020	J	`jnl`	Deceptive Deletions for Protecting Withdrawn Posts on Social Platforms. CoRR Mohsen Minaei, S. Chandra Mouli, Mainack Mondal, Bruno Ribeiro, Aniket Kate
2020	J	`jnl`	Efficient modeling of higher-order dependencies in networks: from algorithm to application for anomaly detection. EPJ Data Sci. Mandana Saebi, Jian Xu, Lance M. Kaplan, Bruno Ribeiro, Nitesh V. Chawla
2020	A*	`conf`	Experience: towards automated customer issue resolution in cellular networks. MobiCom Amit Sheoran, Sonia Fahmy, Matthew Osinski, Chunyi Peng, Bruno Ribeiro, Jia Wang
2020	A*	`conf`	Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations. AAAI Jianfei Gao, Mohamed A. Zahran, Amit Sheoran, Sonia Fahmy, Bruno Ribeiro
2020	J	`jnl`	Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations. CoRR Jianfei Gao, Mohamed A. Zahran, Amit Sheoran, Sonia Fahmy, Bruno Ribeiro
2020	J	`jnl`	Membership Inference Attacks and Defenses in Supervised Learning via Generalization Gap. CoRR Jiacheng Li, Ninghui Li, Bruno Ribeiro
2020	J	`jnl`	On New Group Popularity Prediction in Event-Based Social Networks. IEEE Trans. Netw. Sci. Eng. Guangyu Li, Yong Liu, Bruno Ribeiro, Hao Ding
2020	A*	`conf`	On the Equivalence between Positional Node Embeddings and Structural Graph Representations. ICLR Balasubramaniam Srinivasan, Bruno Ribeiro
2020	—	`conf`	Pitfalls of data-driven networking: A case study of latent causal confounders in video streaming. NetAI@SIGCOMM Panchapakesan C. Sruthi, Sanjay G. Rao, Bruno Ribeiro
2020	—	`conf`	Random Spiking and Systematic Evaluation of Defenses Against Adversarial Examples. CODASPY Huangyi Ge, Sze Yiu Chau, Bruno Ribeiro, Ninghui Li
2020	J	`jnl`	Sequential Stratified Regeneration: MCMC for Large State Spaces with an Application to Subgraph Counting Estimation. CoRR Carlos H. C. Teixeira, Mayank Kakodkar, Vinícius Vitor dos Santos Dias, Wagner Meira Jr., Bruno Ribeiro
2020	A*	`conf`	Unsupervised Joint k-node Graph Representations with Compositional Energy-Based Models. NeurIPS Leonardo Cotta, Carlos H. C. Teixeira, Ananthram Swami, Bruno Ribeiro
2020	J	`jnl`	Unsupervised Joint k-node Graph Representations with Compositional Energy-Based Models. CoRR Leonardo Cotta, Carlos H. C. Teixeira, Ananthram Swami, Bruno Ribeiro
2019	J	`jnl`	Are Graph Neural Networks Miscalibrated? CoRR Leonardo Teixeira, Brian Jalaian, Bruno Ribeiro
2019	J	`jnl`	Characterizing Directed and Undirected Networks via Multidimensional Walks with Jumps. ACM Trans. Knowl. Discov. Data Fabricio Murai, Bruno Ribeiro, Don Towsley, Pinghui Wang
2019	A	`conf`	Curated Pathways to Innovation: Personalized CS Education to Promote Diversity. SIGCSE Natalie Linnell, Phil Gonsalves, Mayank Kakodkar, Vanessa Martinez, Tim Urdan, Bruno Ribeiro, Janice Zdankus
2019	J	`jnl`	Deep Lifetime Clustering. CoRR S. Chandra Mouli, Leonardo Teixeira, Jennifer Neville, Bruno Ribeiro
2019	—	`conf`	GrAPL Keynote 2. IPDPS Workshops Bruno Ribeiro
2019	A*	`conf`	HATS: A Hierarchical Sequence-Attention Framework for Inductive Set-of-Sets Embeddings. KDD Changping Meng, Jiasen Yang, Bruno Ribeiro, Jennifer Neville
2019	—	`conf`	Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs. ICLR (Poster) Ryan L. Murphy, Balasubramaniam Srinivasan, Vinayak A. Rao, Bruno Ribeiro
2019	J	`jnl`	On the Equivalence between Node Embeddings and Structural Graph Representations. CoRR Balasubramaniam Srinivasan, Bruno Ribeiro
2019	J	`jnl`	Practical characterization of large networks using neighborhood information. Knowl. Inf. Syst. Pinghui Wang, Junzhou Zhao, Bruno Ribeiro, John C. S. Lui, Don Towsley, Xiaohong Guan
2019	A*	`conf`	Relational Pooling for Graph Representations. ICML Ryan L. Murphy, Balasubramaniam Srinivasan, Vinayak A. Rao, Bruno Ribeiro
2019	J	`jnl`	Relational Pooling for Graph Representations. CoRR Ryan L. Murphy, Balasubramaniam Srinivasan, Vinayak A. Rao, Bruno Ribeiro
2018	J	`jnl`	Feedforward Neural Networks for Caching: Enough or Too Much? CoRR Vladyslav Fedchenko, Giovanni Neglia, Bruno Ribeiro
2018	J	`jnl`	Feedforward Neural Networks for Caching: n Enough or Too Much? SIGMETRICS Perform. Evaluation Rev. Vladyslav Fedchenko, Giovanni Neglia, Bruno Ribeiro
2018	A*	`conf`	From Monte Carlo to Las Vegas: Improving Restricted Boltzmann Machine Training Through Stopping Sets. AAAI Pedro H. P. Savarese, Mayank Kakodkar, Bruno Ribeiro
2018	A*	`conf`	Graph Pattern Mining and Learning through User-Defined Relations. ICDM Carlos H. C. Teixeira, Leornado Cotta, Bruno Ribeiro, Wagner Meira Jr.
2018	J	`jnl`	Graph Pattern Mining and Learning through User-defined Relations (Extended Version). CoRR Carlos H. C. Teixeira, Leonardo Cotta, Bruno Ribeiro, Wagner Meira Jr.
2018	J	`jnl`	Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs. CoRR Ryan L. Murphy, Balasubramaniam Srinivasan, Vinayak A. Rao, Bruno Ribeiro
2018	A*	`conf`	Oboe: auto-tuning video ABR algorithms to network conditions. SIGCOMM Zahaib Akhtar, Yun Seong Nam, Ramesh Govindan, Sanjay G. Rao, Jessica Chen, Ethan Katz-Bassett, Bruno Ribeiro, Jibin Zhan, Hui Zhang
2018	A	`conf`	On Group Popularity Prediction in Event-Based Social Networks. ICWSM Guangyu Li, Yong Liu, Bruno Ribeiro, Hao Ding
2018	B	`conf`	SBG-sketch: a self-balanced sketch for labeled-graph stream summarization. SSDBM Mohamed S. Hassan, Bruno Ribeiro, Walid G. Aref
2018	J	`jnl`	Selective harvesting over networks. Data Min. Knowl. Discov. Fabricio Murai, Diogo Rennó, Bruno Ribeiro, Gisele L. Pappa, Don Towsley, Krista Gile
2018	A*	`conf`	Subgraph Pattern Neural Networks for High-Order Graph Evolution Prediction. AAAI Changping Meng, S. Chandra Mouli, Bruno Ribeiro, Jennifer Neville
2018	—	`conf`	Tracking Groups in Mobile Network Traces. NetAI@SIGCOMM Kun Tu, Bruno Ribeiro, Ananthram Swami, Don Towsley
2017	J	`jnl`	Detecting Anomalies in Sequential Data with Higher-order Networks. CoRR Jian Xu, Mandana Saebi, Bruno Ribeiro, Lance M. Kaplan, Nitesh V. Chawla
2017	J	`jnl`	From Monte Carlo to Las Vegas: Improving Restricted Boltzmann Machine Training Through Stopping Sets. CoRR Pedro H. P. Savarese, Mayank Kakodkar, Bruno Ribeiro
2017	J	`jnl`	Identifying User Survival Types via Clustering of Censored Social Network Data. CoRR S. Chandra Mouli, Abhishek Naik, Bruno Ribeiro, Jennifer Neville
2017	J	`jnl`	SBG-Sketch: A Self-Balanced Sketch for Labeled-Graph Stream Summarization. CoRR Mohamed S. Hassan, Bruno Ribeiro, Walid G. Aref
2017	J	`jnl`	Selective Harvesting over Networks. CoRR Fabricio Murai, Diogo Rennó, Bruno Ribeiro, Gisele L. Pappa, Don Towsley, Krista Gile
2017	A	`conf`	Should We Be Confident in Peer Effects Estimated From Social Network Crawls? ICWSM Jiasen Yang, Bruno Ribeiro, Jennifer Neville
2017	J	`jnl`	Stochastic Gradient Descent for Relational Logistic Regression via Partial Network Crawls. CoRR Jiasen Yang, Bruno Ribeiro, Jennifer Neville
2016	—	`conf`	Mining Online Music Listening Trajectories. ISMIR Flavio Figueiredo, Bruno Ribeiro, Christos Faloutsos, Nazareno Andrade, Jussara M. Almeida
2016	A*	`conf`	TribeFlow: Mining & Predicting User Trajectories. WWW Flavio Figueiredo, Bruno Ribeiro, Jussara M. Almeida, Christos Faloutsos
2015	A*	`conf`	Beyond Models: Forecasting Complex Network Processes Directly from Data. WWW Bruno Ribeiro, Minh X. Hoang, Ambuj K. Singh
2015	—	`conf`	Challenges of Forecasting and Measuring a Complex Networked World. WWW (Companion Volume) Bruno Ribeiro
2015	A	`conf`	Modeling Website Popularity Competition in the Attention-Activity Marketplace. WSDM Bruno Ribeiro, Christos Faloutsos
2015	J	`jnl`	TribeFlow: Mining & Predicting User Trajectories. CoRR Flavio Figueiredo, Bruno Ribeiro, Jussara M. Almeida, Christos Faloutsos
2014	J	`jnl`	Modeling Website Popularity Competition in the Attention-Activity Marketplace. CoRR Bruno Ribeiro, Christos Faloutsos
2014	A*	`conf`	Modeling and predicting the growth and death of membership-based websites. WWW Bruno Ribeiro
2014	—	`conf`	Revisit Behavior in Social Media: The Phoenix-R Model and Discoveries. ECML/PKDD (1) Flavio Figueiredo, Jussara M. Almeida, Yasuko Matsubara, Bruno Ribeiro, Christos Faloutsos
2014	J	`jnl`	Revisit Behavior in Social Media: The Phoenix-R Model and Discoveries. CoRR Flavio Figueiredo, Jussara M. Almeida, Yasuko Matsubara, Bruno Ribeiro, Christos Faloutsos
2014	—	`conf`	The socio-monetary incentives of online social network malware campaigns. COSN Ting-Kai Huang, Bruno Ribeiro, Harsha V. Madhyastha, Michalis Faloutsos
2013	J	`jnl`	Understanding the growth and death of online social networks: evidence and model. CoRR Bruno Ribeiro