| 2026 | ACL | Context Attribution with Multi-Armed Bandit Optimization. | Deng Pan, Keerthiram Murugesan, Ting Hua, Nuno Moniz, Nitesh V. Chawla |
| 2026 | IUI | From Verification Burden to Trusted Collaboration: Design Goals for LLM-Assisted Literature Reviews. | Brenda Nogueira, Werner Geyer, Andrew A. Anderson, Toby Jia-Jun Li, Dongwhi Kim, Nuno Moniz, Nitesh V. Chawla |
| 2025 | ACL | NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning. | Zheyuan Zhang, Yiyang Li, Nhi Ha Lan Le, Zehong Wang, Tianyi Ma, Vincent Galassi, Keerthiram Murugesan, Nuno Moniz, Werner Geyer, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye |
| 2025 | AIES | Explanation Difference: Bridging Procedural and Distributional Fairness. | Joe Germino, Yuying Zhao, Tyler Derr, Nuno Moniz, Nitesh V. Chawla |
| 2025 | ICLR | 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 |
| 2025 | IJCAI | Leveraging Artificial Intelligence to Bridge Gaps in Pediatric Oncology Care for Marginalized Spanish-Speaking Communities. | Grigorii Khvatskii, Anglica Garca-Martnez, Deng Pan, Matthew Belcher, Gernimo Medrano Loera, Dayana Pineda Prez, Juan Emmanuel Ferrari Muoz-Ledo, Horacio Mrquez-Gonzlez, Nuno Moniz, Nitesh V. Chawla |
| 2025 | IJCAI | Fast Explanations via Policy Gradient-Optimized Explainer. | Deng Pan, Nuno Moniz, Nitesh V. Chawla |
| 2025 | IJCAI | Towards Fairness with Limited Demographics via Disentangled Learning. | Zichong Wang, Anqi Wu, Nuno Moniz, Shu Hu, Bart P. Knijnenburg, Xingquan Zhu, Wenbin Zhang |
| 2025 | IDA | Relevance-Aware Algorithmic Recourse. | Dongwhi Kim, Nuno Moniz |
| 2024 | EPIA | Time Series Data Augmentation as an Imbalanced Learning Problem. | Vtor Cerqueira, Nuno Moniz, Ricardo Incio, Carlos Soares |
| 2024 | EPIA | Dynamics of Fisheries in the Azores Islands: A Network Analysis Approach. | Brenda Nogueira, Ana Torres, Nuno Moniz, Gui M. Menezes |
| 2024 | KDD | AnyLoss: Transforming Classification Metrics into Loss Functions. | Do Heon Han, Nuno Moniz, Nitesh V. Chawla |
| 2024 | PSD | Synthetic Data Outliers: Navigating Identity Disclosure. | Carolina Trindade, Luis Antunes, Tnia Carvalho, Nuno Moniz |
| 2024 | WWW | Are we Making Much Progress? Revisiting Chemical Reaction Yield Prediction from an Imbalanced Regression Perspective. | Yihong Ma, Xiaobao Huang, Bozhao Nan, Nuno Moniz, Xiangliang Zhang, Olaf Wiest, Nitesh V. Chawla |
| 2023 | DIS | Fairness-Aware Mixture of Experts with Interpretability Budgets. | Joe Germino, Nuno Moniz, Nitesh V. Chawla |
| 2023 | EPIA | A Three-Way Knot: Privacy, Fairness, and Predictive Performance Dynamics. | Tnia Carvalho, Nuno Moniz, Luis Antunes |
| 2023 | EPIA | Imbalanced Regression Evaluation Under Uncertain Domain Preferences. | Nuno Costa, Nuno Moniz |
| 2022 | DIS | Model Optimization in Imbalanced Regression. | Anibal Silva, Rita P. Ribeiro, Nuno Moniz |
| 2021 | IDA | The Compromise of Data Privacy in Predictive Performance. | Tnia Carvalho, Nuno Moniz |
| 2020 | IDEAL | Sequence Mining for Automatic Generation of Software Tests from GUI Event Traces. | Alberto Oliveira, Ricardo Freitas, Alpio Jorge, Vtor Amorim, Nuno Moniz, Ana C. R. Paiva, Paulo J. Azevedo |
| 2019 | DSAA | Biased Resampling Strategies for Imbalanced Spatio-Temporal Forecasting. | Mariana Oliveira, Nuno Moniz, Lus Torgo, Vtor Santos Costa |
| 2018 | DSAA | SMOTEBoost for Regression: Improving the Prediction of Extreme Values. | Nuno Moniz, Rita P. Ribeiro, Vtor Cerqueira, Nitesh V. Chawla |
| 2018 | SDM | Cost-Sensitive Learning: Preface. | Lus Torgo, Stan Matwin, Gary Weiss, Nuno Moniz, Paula Branco |
| 2016 | DSAA | Resampling Strategies for Imbalanced Time Series. | Nuno Moniz, Paula Branco, Lus Torgo |
| 2016 | ICDM | Time-Based Ensembles for Prediction of Rare Events in News Stream. | Nuno Moniz, Lus Torgo, Magdalini Eirinaki |
| 2014 | IDA | Resampling Approaches to Improve News Importance Prediction. | Nuno Moniz, Lus Torgo, Ftima Rodrigues |
| 2012 | IC3K | Extracting Structure, Text and Entities from PDF Documents of the Portuguese Legislation. | Nuno Moniz, Ftima Rodrigues |