Publications

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).

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).

Yiqing Zhang, Xiaozhong Liu, Fabricio Murai (2025). CLaDMoP: Learning Transferrable Models from Successful Clinical Trials via LLMs. ACM KDD 2025 (to appear).

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).

Cite Code Dataset Poster DOI URL

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.

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.

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).

Karen B. Enes, Matheus Nunes, Fabricio Murai, Gisele L. Pappa (2024). Temporally-aware node embeddings for evolving networks topologies. AI Communications.

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).

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.