Moniz, Nuno

11 publications

NeurIPS 2025 BenchmarkCards: Standardized Documentation for Large Language Model Benchmarks Anna Sokol, Elizabeth M. Daly, Michael Hind, David Piorkowski, Xiangliang Zhang, Nuno Moniz, Nitesh V Chawla

MLJ 2025 Differentially-Private Data Synthetisation for Efficient Re-Identification Risk Control Tânia Carvalho, Nuno Moniz, Luis Antunes, Nitesh V. Chawla

IJCAI 2025 Fast Explanations via Policy Gradient-Optimized Explainer Deng Pan, Nuno Moniz, Nitesh V. Chawla

ICLR 2025 Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge Jiayi Ye, Yanbo Wang, Yue Huang, Dongping Chen, Qihui Zhang, Nuno Moniz, Tian Gao, Werner Geyer, Chao Huang, Pin-Yu Chen, Nitesh V Chawla, Xiangliang Zhang

IJCAI 2025 Leveraging Artificial Intelligence to Bridge Gaps in Pediatric Oncology Care for Marginalized Spanish-Speaking Communities Grigorii Khvatskii, Angélica García-Martínez, Deng Pan, Matthew Belcher, Gerónimo Medrano Loera, Dayana Pineda Pérez, Juan Emmanuel Ferrari Muñoz-Ledo, Horacio Márquez-González, Nuno Moniz, Nitesh V. Chawla

IJCAI 2025 Towards Fairness with Limited Demographics via Disentangled Learning Zichong Wang, Anqi Wu, Nuno Moniz, Shu Hu, Bart P. Knijnenburg, Xingquan Zhu, Wenbin Zhang

MLJ 2024 FairMOE: Counterfactually-Fair Mixture of Experts with Levels of Interpretability Joe Germino, Nuno Moniz, Nitesh V. Chawla

NeurIPSW 2024 Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge Jiayi Ye, Yanbo Wang, Yue Huang, Dongping Chen, Qihui Zhang, Nuno Moniz, Tian Gao, Werner Geyer, Chao Huang, Pin-Yu Chen, Nitesh V Chawla, Xiangliang Zhang

MLJ 2024 VEST: Automatic Feature Engineering for Forecasting Vítor Cerqueira, Nuno Moniz, Carlos Soares

MLJ 2020 Imbalanced Regression and Extreme Value Prediction Rita P. Ribeiro, Nuno Moniz

ECML-PKDD 2018 Constructive Aggregation and Its Application to Forecasting with Dynamic Ensembles Vítor Cerqueira, Fábio Pinto, Luís Torgo, Carlos Soares, Nuno Moniz