Arlei Silva

Orcid: 0000-0003-1792-0076

Affiliations:
  • University of California, Santa Barbara, Computer Science Department
  • Federal University of Minas Gerais, Computer Science Department


According to our database1, Arlei Silva authored at least 43 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Sensor Placement for Learning in Flow Networks.
CoRR, 2024

2023
Better Fair than Sorry: Adversarial Missing Data Imputation for Fair GNNs.
CoRR, 2023

Robust Ante-hoc Graph Explainer using Bilevel Optimization.
CoRR, 2023

Link Prediction without Graph Neural Networks.
CoRR, 2023

Poster: Near Non-blocking Performance with All-optical Circuit-switched Core.
Proceedings of the ACM SIGCOMM 2023 Conference, 2023

USDOT Tier-1 University Transportation Center for Advancing Cybersecurity Research and Education.
Proceedings of the IEEE International Conference on Mobility, 2023

Feature-based Individual Fairness in k-clustering.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Approximate Algorithms for Data-Driven Influence Limitation.
IEEE Trans. Knowl. Data Eng., 2022

POLE: Polarized Embedding for Signed Networks.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

FlowGEN: A Generative Model for Flow Graphs.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021
Event Detection on Dynamic Graphs.
CoRR, 2021

Feature-based Individual Fairness in k-Clustering.
CoRR, 2021

A Broader Picture of Random-walk Based Graph Embedding.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Combining Physics and Machine Learning for Network Flow Estimation.
Proceedings of the 9th International Conference on Learning Representations, 2021

Network Robustness via Global k-cores.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Group Testing on a Network.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
A Game Theoretic Approach For Core Resilience.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

A Game Theoretic Approach For k-Core Minimization.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019
Mining and Modeling Processes on Graphs.
PhD thesis, 2019

K-Core Minimization: A Game Theoretic Approach.
CoRR, 2019

Influence Minimization Under Budget and Matroid Constraints: Extended Version.
CoRR, 2019

2018
Spectral Algorithms for Temporal Graph Cuts.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Group Centrality Maximization via Network Design.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

2017
Maximizing Coverage Centrality via Network Design: Extended Version.
CoRR, 2017

Privacy-Preserving Multi-Party Clustering: An Empirical Study.
Proceedings of the 2017 IEEE 10th International Conference on Cloud Computing (CLOUD), 2017

2016
Prediction-based Online Trajectory Compression.
CoRR, 2016

Graph Wavelets via Sparse Cuts.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Outlier Detection from Network Data with Subnetwork Interpretation.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015
Hierarchical in-network attribute compression via importance sampling.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

2013
Uma Estratégia Baseada em Difusão de Informação para Determinação de Conteúdos Relevantes e Usuários Influentes em Redes Sociais.
RITA, 2013

ProfileRank: finding relevant content and influential users based on information diffusion.
Proceedings of the 7th Workshop on Social Network Mining and Analysis, 2013

2012
Mining Attribute-structure Correlated Patterns in Large Attributed Graphs.
Proc. VLDB Endow., 2012

Min-Hash Fingerprints for Graph Kernels: A Trade-off among Accuracy, Efficiency, and Compression.
J. Inf. Data Manag., 2012

Watch me playing, i am a professional: a first study on video game live streaming.
Proceedings of the 21st World Wide Web Conference, 2012

2011
Modeling and evaluating credibility of web applications.
Proceedings of the 2011 Joint WICOW/AIRWeb Workshop on Web Quality, 2011

Credibility of web applications.
Proceedings of the MEDES '11: International ACM Conference on Management of Emergent Digital EcoSystems, 2011

2010
Análise de Padrões de Propagação no Twitter.
Proceedings of the XXV Simpósio Brasileiro de Banco de Dados, 2010

Structural correlation pattern mining for large graphs.
Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010

CredibilityRank: A Framework for the Design and Evaluation of Rank-based Credibility Models for Web Applications.
Proceedings of the IEEE/IFIP 8th International Conference on Embedded and Ubiquitous Computing, 2010

2009
Seller's credibility in electronic markets: a complex network based approach.
Proceedings of the 3rd ACM Workshop on Information Credibility on the Web, 2009

Sequential Medical Treatment Mining for Survival Analysis.
Proceedings of the XXIV Simpósio Brasileiro de Banco de Dados, 2009

2008
Evaluating Longitudinal Aspects of Online Bidding Behavior.
Proceedings of the WEBIST 2008, 2008

A seller's perspective characterization methodology for online auctions.
Proceedings of the 10th International Conference on Electronic Commerce 2008, 2008


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