Fabricio Murai

Orcid: 0000-0003-4487-6381

According to our database1, Fabricio Murai authored at least 50 papers between 2012 and 2024.

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Bibliography

2024
Towards Fairer Health Recommendations: finding informative unbiased samples via Word Sense Disambiguation.
CoRR, 2024

Hidden or Inferred: Fair Learning-To-Rank with Unknown Demographics.
CoRR, 2024

Reducing Biases towards Minoritized Populations in Medical Curricular Content via Artificial Intelligence for Fairer Health Outcomes.
CoRR, 2024

General Performance Evaluation for Competitive Resource Allocation Games via Unseen Payoff Estimation.
CoRR, 2024

Temporally-aware node embeddings for evolving networks topologies.
AI Commun., 2024

Devil in the Noise: Detecting Advanced Persistent Threats with Backbone Extraction.
Proceedings of the IEEE Symposium on Computers and Communications, 2024

2023
Towards Detecting Cascades of Biased Medical Claims on Twitter.
CoRR, 2023

Helping Fact-Checkers Identify Fake News Stories Shared through Images on WhatsApp.
Proceedings of the 29th Brazilian Symposium on Multimedia and the Web, 2023

Fisher Scoring Method for Neural Networks Optimization.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Anatomy of Hate Speech Datasets: Composition Analysis and Cross-dataset Classification.
Proceedings of the 34th ACM Conference on Hypertext and Social Media, 2023

Bayes and Laplace Versus the World: A New Label Attack Approach in Federated Environments Based on Bayesian Neural Networks.
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

2022
Delator: Automatic Detection of Money Laundering Evidence on Transaction Graphs via Neural Networks.
CoRR, 2022

Uncovering Discussion Groups on Claims of Election Fraud from Twitter.
Proceedings of the Social Informatics - 13th International Conference, 2022

Risk Perception and Misinformation in Brazilian Twitter during COVID-19 Infodemic.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022

Evolving Node Embeddings for Dynamic Exploration of Network Topologies.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2022, 2022

DELATOR: Money Laundering Detection via Multi-Task Learning on Large Transaction Graphs.
Proceedings of the IEEE International Conference on Big Data, 2022

Uncovering Coordinated Communities on Twitter During the 2020 U.S. Election.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

Top-Down Deep Clustering with Multi-Generator GANs.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
On the dynamics of political discussions on Instagram: A network perspective.
Online Soc. Networks Media, 2021

Análise e Previsão do Tom Emocional de Usuários em Comunidades de Saúde Mental no Reddit.
Braz. J. Inf. Syst., 2021

Predicting user emotional tone in mental disorder online communities.
Future Gener. Comput. Syst., 2021

Heterogeneous download times in bandwidth-homogeneous BitTorrent swarms.
CoRR, 2021

Fairness via AI: Bias Reduction in Medical Information.
CoRR, 2021

How effective are Graph Neural Networks in Fraud Detection for Network Data?
CoRR, 2021

Evaluating the state-of-the-art in mapping research spaces: a Brazilian case study.
CoRR, 2021

Am I fit for this physical activity? Neural embedding of physical conditioning from inertial sensors.
CoRR, 2021

Sequence-Based Word Embeddings for Effective Text Classification.
Proceedings of the Natural Language Processing and Information Systems, 2021

Mixture Variational Autoencoder of Boltzmann Machines for Text Processing.
Proceedings of the Natural Language Processing and Information Systems, 2021

Encoding Physical Conditioning from Inertial Sensors for Multi-step Heart Rate Estimation.
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

2020
Brazilian Scientific Publication Records and Author Affiliations from Lattes until Feb 2017 (Anonymized).
Dataset, November, 2020

Unveiling Community Dynamics on Instagram Political Network.
Proceedings of the WebSci '20: 12th ACM Conference on Web Science, 2020

Characterizing (Un)moderated Textual Data in Social Systems.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

2019
Characterizing Directed and Undirected Networks via Multidimensional Walks with Jumps.
ACM Trans. Knowl. Discov. Data, 2019

Supervised Learning for Fake News Detection.
IEEE Intell. Syst., 2019

Explainable Machine Learning for Fake News Detection.
Proceedings of the 11th ACM Conference on Web Science, 2019

Aprendizado de Máquina para Previsão do Tempo de Execução de Aplicações Spark.
Proceedings of the XXXVII Brazilian Symposium on Computer Networks and Distributed Systems, 2019

Towards Understanding Political Interactions on Instagram.
Proceedings of the 30th ACM Conference on Hypertext and Social Media, 2019

Gray-Box Models for Performance Assessment of Spark Applications.
Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019

Machine Learning for Performance Prediction of Spark Cloud Applications.
Proceedings of the 12th IEEE International Conference on Cloud Computing, 2019

2018
Selective harvesting over networks.
Data Min. Knowl. Discov., 2018

Modelos de Resposta para Experimentos Randomizados em Redes Sociais de Larga Escala.
CoRR, 2018

Online Social Networks in Health Care: A Study of Mental Disorders on Reddit.
Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

Reddit Weight Loss Communities: Do They Have What It Takes for Effective Health Interventions?
Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

Estimation Errors in Network A/B Testing Due to Sample Variance and Model Misspecification.
Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

Inside the Right-Leaning Echo Chambers: Characterizing Gab, an Unmoderated Social System.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

Automatic Identification of Best Attributes for Indexing in Data Deduplication.
Proceedings of the 12th Alberto Mendelzon International Workshop on Foundations of Data Management, 2018

2013
On Set Size Distribution Estimation and the Characterization of Large Networks via Sampling.
IEEE J. Sel. Areas Commun., 2013

Characterizing branching processes from sampled data.
Proceedings of the 22nd International World Wide Web Conference, 2013

2012
Heterogeneous download times in a homogeneous BitTorrent swarm.
Comput. Networks, 2012

Sampling directed graphs with random walks.
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012


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