Fabricio Murai
Fabricio Murai

Assistant Professor of CS, Data Science & AI

Worcester Polytechnic Institute

About Me

Fabricio Murai (he/him) is an Assistant Professor in Computer Science, Data Science & AI at WPI. His research focuses on developing novel AI techniques that (i) leverage the interconnections among real-world entities, (ii) enhance our comprehension of society through the analysis of online data, and (iii) ensure equitable outcomes in high-stakes applications. He has published in top conferences in the fields of AI/Data Mining/Fairness, such AAAI, KDD, SDM, AIES as well as top scientific journals such as Data Mining and Knowledge Discovery, ACM TKDD and PLOS ONE.

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Interests
  • AI/ML
  • Graph Models
  • Social Networks Data
Education

  • PhD Computer Science

    University of Massachusetts Amherst

  • MSc Computer Science

    University of Massachusetts Amherst

  • MSc Systems & Comp. Engineering

    Universidade Federal do Rio de Janeiro

  • BSc Computer Science

    Universidade Federal do Rio de Janeiro

Recent Publications
Yiqing Zhang, Xiaozhong Liu, Fabricio Murai (2025). CLaDMoP: Learning Transferrable Models from Successful Clinical Trials via LLMs. ACM KDD 2025 (to appear).
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Pedro H. Barros, Fabricio Murai, Amir Houmansadr, Antonio A. F. Loureiro, Alejandro C. Frery, Heitor S. Ramos (2025). Mitigação de Envenenamento de Rótulos em Sistemas de Detecção de DDoS Federados. Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos (SBRC).
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Borhane Blili-Hamelin, Christopher Graziul, Leif Hancox-Li, Hananel Hazan, El-Mahdi El-Mhamdi, Avijit Ghosh, Katherine Heller, Jacob Metcalf, Fabricio Murai, Eryk Salvaggio, Andrew Smart, Todd Snider, Mariame Tighanimine, Talia Ringer, Margaret Mitchell, Shiri Dori-Hacohen (2025). Stop treating `AGI' as the north-star goal of AI research. ICML (Position Paper Track; to appear).
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Yiqing Zhang, Xiaozhong Liu, Fabricio Murai (2025). MEXA-CTP: Mode Experts Cross-Attention for Clinical Trial Outcome Prediction. Proceedings of the 2025 SIAM International Conference on Data Mining (SDM).
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Oluseun Olulana, Kathleen Cachel, Fabricio Murai, Elke Rundensteiner (2024). Hidden or Inferred: Fair Learning-To-Rank With Unknown Demographics. Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society.
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Chiman Salavati, Shannon Song, Willmar Sosa Diaz, Scott A. Hale, Roberto E. Montenegro, Fabricio Murai, Shiri Dori-Hacohen (2024). Reducing Biases towards Minoritized Populations in Medical Curricular Content via Artificial Intelligence for Fairer Health Outcomes. Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society.
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Caio M. C. Viana, Carlos H. G. Ferreira, Fabricio Murai, Aldri Luiz Dos Santos, Lourenço Alves Pereira Júnior (2024). Devil in the Noise: Detecting Advanced Persistent Threats with Backbone Extraction. 2024 IEEE Symposium on Computers and Communications (ISCC).
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Karen B. Enes, Matheus Nunes, Fabricio Murai, Gisele L. Pappa (2024). Temporally-aware node embeddings for evolving networks topologies. AI Communications.
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Libby Tiderman, Juan Sanchez Mercedes, Fiona Romanoschi, Fabricio Murai (2023). Towards Detecting Cascades of Biased Medical Claims on Twitter. IEEE MIT Undergraduate Research Technology Conference (URTC'23).
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Nan Ma, Qi Zhang, Fabricio Murai, William W. Braham, Holly W. Samuelson (2023). Learning building occupants’ indoor environmental quality complaints and dissatisfaction from text-mining Booking.com reviews in the United States. Building and Environment.
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Samuel Guimarães, Gabriel Kakizaki, Philipe Melo, Márcio Silva, Fabricio Murai, Julio C S Reis, Fabr\́\ii̧o Benevenuto (2023). Anatomy of Hate Speech Datasets: Composition Analysis and Cross-dataset Classification. Proceedings of the 34th ACM Conference on Hypertext and Social Media (HT'23).
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Barros Pedro H., Fabricio Murai, Ramos Heitor S (2023). Bayes and Laplace Versus the World: A New Label Attack Approach in Federated Environments Based on Bayesian Neural Networks. Intelligent Systems. Brazilian Conference on Intelligent Systems (BRACIS'23).
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Julio C S Reis, Philipe Melo, Fabiano Belém, Fabricio Murai, Jussara M Almeida, Fabricio Benevenuto (2023). Helping Fact-Checkers Identify Fake News Stories Shared through Images on WhatsApp. Proceedings of the 29th Brazilian Symposium on Multimedia and the Web (WebMedia'23).
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Carlos Henrique Gomes Ferreira, Fabricio Murai, Ana P.C. Silva, Martino Trevisan, Luca Vassio, Idilio Drago, Marco Mellia, Jussara M. Almeida (2022). On network backbone extraction for modeling online collective behavior. PLOS ONE.
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Daniel P M De Mello, Renato M Assunção, Fabricio Murai (2022). Top-Down Deep Clustering with Multi-Generator GANs. Proceedings of the AAAI Conference on Artificial Intelligence.
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Henrique S. Assumpção, Fabrício Souza, Leandro Lacerda Campos, Vinícius T. De Castro Pires, Paulo M. Laurentys De Almeida, Fabricio Murai (2022). DELATOR: Money Laundering Detection via Multi-Task Learning on Large Transaction Graphs. IEEE Big Data 2022.
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Renan S. Linhares, José M. Rosa, Carlos H G Ferreira, Fabricio Murai, Gabriel Nobre, Jussara Almeida (2022). Uncovering Coordinated Communities on Twitter During the 2020 U.S. Election. 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).
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Jose Martins Da Rosa, Renan Saldanha Linhares, Carlos Henrique Gomes Ferreira, Gabriel P Nobre, Fabricio Murai, Jussara M Almeida (2022). Uncovering Discussion Groups on Claims of Election Fraud from Twitter. Social Informatics.
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Eduarda T.C. Chagas, Pedro H. Barros, Isadora Cardoso-Pereira, Igor v. Ponte, Pablo Ximenes, Flávio Figueiredo, Fabricio Murai, Ana Paula Couto Da Silva, Jussara M. Almeida, Antonio A.F. Loureiro, Heitor S. Ramos (2021). Effects of population mobility on the COVID-19 spread in Brazil. PLOS ONE.
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Carlos H.G. Ferreira, Fabricio Murai, Ana P.C. Silva, Jussara M Almeida, Martino Trevisan, Luca Vassio, Marco Mellia, Idilio Drago (2021). On the dynamics of political discussions on Instagram: A network perspective. Online Social Networks and Media.
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