Nuno Moniz - RankMe

94 papers A* 5B 8C 1Journal 52Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Automated privacy-preserving techniques via meta-learning. Inf. Fusion Tânia Carvalho, Nuno Moniz, Luis Antunes
2026	J	`jnl`	Capability-Oriented Training Induced Alignment Risk. CoRR Yujun Zhou, Yue Huang, Han Bao, Kehan Guo, Zhenwen Liang, Pin-Yu Chen, Tian Gao, Werner Geyer, Nuno Moniz, Nitesh V. Chawla, Xiangliang Zhang
2026	J	`jnl`	Emergent Social Intelligence Risks in Generative Multi-Agent Systems. CoRR Yue Huang, Yu Jiang, Wenjie Wang, Haomin Zhuang, Xiaonan Luo, Yuchen Ma, Zhangchen Xu, Zichen Chen, Nuno Moniz, Zinan Lin, Pin-Yu Chen, Nitesh V. Chawla, Nouha Dziri, Huan Sun, Xiangliang Zhang
2026	—	`conf`	From Verification Burden to Trusted Collaboration: Design Goals for LLM-Assisted Literature Reviews. IUI Companion Brenda Nogueira, Werner Geyer, Andrew A. Anderson, Toby Jia-Jun Li, Dongwhi Kim, Nuno Moniz, Nitesh V. Chawla
2026	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part X ECML/PKDD (10) Inês Dutra, Mykola Pechenizkiy, Paulo Cortez, Sepideh Pashami, Arian Pasquali, Nuno Moniz, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2025	J	`jnl`	Class-Imbalanced Learning on Graphs: A Survey. ACM Comput. Surv. Yihong Ma, Yijun Tian, Nuno Moniz, Nitesh V. Chawla
2025	J	`jnl`	Context Attribution with Multi-Armed Bandit Optimization. CoRR Deng Pan, Keerthiram Murugesan, Nuno Moniz, Nitesh V. Chawla
2025	J	`jnl`	Differentially-private data synthetisation for efficient re-identification risk control. Mach. Learn. Tânia Carvalho, Nuno Moniz, Luis Antunes, Nitesh V. Chawla
2025	A*	`conf`	Fast Explanations via Policy Gradient-Optimized Explainer. IJCAI Deng Pan, Nuno Moniz, Nitesh V. Chawla
2025	J	`jnl`	From Verification Burden to Trusted Collaboration: Design Goals for LLM-Assisted Literature Reviews. CoRR Brenda Nogueira, Werner Geyer, Andrew A. Anderson, Toby Jia-Jun Li, Dongwhi Kim, Nuno Moniz, Nitesh V. Chawla
2025	J	`jnl`	Intersectional Divergence: Measuring Fairness in Regression. CoRR Joe Germino, Nuno Moniz, Nitesh V. Chawla
2025	A*	`conf`	Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge. ICLR 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	J	`jnl`	LLMs4All: A Review on Large Language Models for Research and Applications in Academic Disciplines. CoRR Yanfang Ye, Zheyuan Zhang, Tianyi Ma, Zehong Wang, Yiyang Li, Shifu Hou, Weixiang Sun, Kaiwen Shi, Yijun Ma, Wei Song, Ahmed Abbasi, Ying Cheng, Jane Cleland-Huang, Steven Corcelli, Robert Goulding, Ming Hu, Ting Hua, John Lalor, Fang Liu, Tengfei Luo, Ed Maginn, Nuno Moniz, Jason Rohr, Brett Savoie, Daniel Slate, Tom Stapleford, Matthew Webber, Olaf Wiest, Johnny Zhang, Nitesh V. Chawla
2025	A*	`conf`	Leveraging Artificial Intelligence to Bridge Gaps in Pediatric Oncology Care for Marginalized Spanish-Speaking Communities. IJCAI 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
2025	—	`conf`	NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning. ACL (1) 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	B	`conf`	Relevance-Aware Algorithmic Recourse. IDA Dongwhi Kim, Nuno Moniz
2025	J	`jnl`	SPECTRA: Spectral Target-Aware Graph Augmentation for Imbalanced Molecular Property Regression. CoRR Brenda Nogueira, Meng Jiang, Nitesh V. Chawla, Nuno Moniz
2025	J	`jnl`	Spectral Manifold Harmonization for Graph Imbalanced Regression. CoRR Brenda Nogueira, Gabe Gomes, Meng Jiang, Nitesh V. Chawla, Nuno Moniz
2025	A*	`conf`	Towards Fairness with Limited Demographics via Disentangled Learning. IJCAI Zichong Wang, Anqi Wu, Nuno Moniz, Shu Hu, Bart P. Knijnenburg, Xingquan Zhu, Wenbin Zhang
2024	A*	`conf`	AnyLoss: Transforming Classification Metrics into Loss Functions. KDD Do Heon Han, Nuno Moniz, Nitesh V. Chawla
2024	J	`jnl`	AnyLoss: Transforming Classification Metrics into Loss Functions. CoRR Do Heon Han, Nuno Moniz, Nitesh V. Chawla
2024	—	`conf`	Are we Making Much Progress? Revisiting Chemical Reaction Yield Prediction from an Imbalanced Regression Perspective. WWW (Companion Volume) Yihong Ma, Xiaobao Huang, Bozhao Nan, Nuno Moniz, Xiangliang Zhang, Olaf Wiest, Nitesh V. Chawla
2024	J	`jnl`	Are we making much progress? Revisiting chemical reaction yield prediction from an imbalanced regression perspective. CoRR Yihong Ma, Xiaobao Huang, Bozhao Nan, Nuno Moniz, Xiangliang Zhang, Olaf Wiest, Nitesh V. Chawla
2024	J	`jnl`	Automated Privacy-Preserving Techniques via Meta-Learning. CoRR Tânia Carvalho, Nuno Moniz, Luís Antunes
2024	J	`jnl`	BenchmarkCards: Large Language Model and Risk Reporting. CoRR Anna Sokol, Nuno Moniz, Elizabeth Daly, Michael Hind, Nitesh V. Chawla
2024	J	`jnl`	Class-Aware Contrastive Optimization for Imbalanced Text Classification. CoRR Grigorii Khvatskii, Nuno Moniz, Khoa Doan, Nitesh V. Chawla
2024	J	`jnl`	Conformalized Selective Regression. CoRR Anna Sokol, Nuno Moniz, Nitesh V. Chawla
2024	—	`conf`	Dynamics of Fisheries in the Azores Islands: A Network Analysis Approach. EPIA (2) Brenda Nogueira, Ana Torres, Nuno Moniz, Gui M. Menezes
2024	J	`jnl`	Empowering Open Data Sharing for Social Good: A Privacy-Aware Approach. CoRR Tânia Carvalho, Luís Antunes, Cristina Costa, Nuno Moniz
2024	J	`jnl`	FairMOE: counterfactually-fair mixture of experts with levels of interpretability. Mach. Learn. Joe Germino, Nuno Moniz, Nitesh V. Chawla
2024	J	`jnl`	Fast Explainability via Feasible Concept Sets Generator. CoRR Deng Pan, Nuno Moniz, Nitesh V. Chawla
2024	J	`jnl`	Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge. CoRR 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
2024	J	`jnl`	LabSafety Bench: Benchmarking LLMs on Safety Issues in Scientific Labs. CoRR Yujun Zhou, Jingdong Yang, Kehan Guo, Pin-Yu Chen, Tian Gao, Werner Geyer, Nuno Moniz, Nitesh V. Chawla, Xiangliang Zhang
2024	J	`jnl`	NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning. CoRR 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
2024	J	`jnl`	Relevance-aware Algorithmic Recourse. CoRR Dongwhi Kim, Nuno Moniz
2024	C	`conf`	Synthetic Data Outliers: Navigating Identity Disclosure. PSD Carolina Trindade, Luis Antunes, Tânia Carvalho, Nuno Moniz
2024	J	`jnl`	Synthetic Data Outliers: Navigating Identity Disclosure. CoRR Carolina Trindade, Luis Filipe Coelho Antunes, Tânia Carvalho, Nuno Moniz
2024	—	`conf`	Time Series Data Augmentation as an Imbalanced Learning Problem. EPIA (2) Vítor Cerqueira, Nuno Moniz, Ricardo Inácio, Carlos Soares
2024	J	`jnl`	Time Series Data Augmentation as an Imbalanced Learning Problem. CoRR Vítor Cerqueira, Nuno Moniz, Ricardo Inácio, Carlos Soares
2024	J	`jnl`	VEST: automatic feature engineering for forecasting. Mach. Learn. Vítor Cerqueira, Nuno Moniz, Carlos Soares
2023	—	`conf`	A Three-Way Knot: Privacy, Fairness, and Predictive Performance Dynamics. EPIA (1) Tânia Carvalho, Nuno Moniz, Luis Antunes
2023	J	`jnl`	A Three-Way Knot: Privacy, Fairness, and Predictive Performance Dynamics. CoRR Tânia Carvalho, Nuno Moniz, Luis Filipe Coelho Antunes
2023	J	`jnl`	Class-Imbalanced Learning on Graphs: A Survey. CoRR Yihong Ma, Yijun Tian, Nuno Moniz, Nitesh V. Chawla
2023	J	`jnl`	Dynamics of Fisheries in the Azores Islands: A Network Analysis Approach. CoRR Brenda Nogueira, Ana Torres, Nuno Moniz, Gui M. Menezes
2023	J	`jnl`	Experiential-Informed Data Reconstruction for Fishery Sustainability and Policies in the Azores. CoRR Brenda Nogueira, Gui M. Menezes, Nuno Moniz
2023	B	`conf`	Fairness-Aware Mixture of Experts with Interpretability Budgets. DS Joe Germino, Nuno Moniz, Nitesh V. Chawla
2023	—	`ed.`	Fifth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 18 September 2023, LIDTA@ECML-PKDD, Turin, Italy. LIDTA Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang
2023	—	`conf`	First Workshop on Machine Learning Challenges in Cybersecurity. CASCON Paula Branco, Nuno Moniz, Guy-Vincent Jourdan
2023	—	`conf`	Imbalanced Regression Evaluation Under Uncertain Domain Preferences. EPIA (1) Nuno Costa, Nuno Moniz
2023	—	`ed.`	Progress in Artificial Intelligence - 22nd EPIA Conference on Artificial Intelligence, EPIA 2023, Faial Island, Azores, September 5-8, 2023, Proceedings, Part I EPIA (1) Nuno Moniz, Zita Vale, José Cascalho, Catarina Silva, Raquel Sebastião
2023	—	`ed.`	Progress in Artificial Intelligence - 22nd EPIA Conference on Artificial Intelligence, EPIA 2023, Faial Island, Azores, September 5-8, 2023, Proceedings, Part II EPIA (2) Nuno Moniz, Zita Vale, José Cascalho, Catarina Silva, Raquel Sebastião
2023	J	`jnl`	Survey on Privacy-Preserving Techniques for Microdata Publication. ACM Comput. Surv. Tânia Carvalho, Nuno Moniz, Pedro Faria, Luís Antunes
2023	J	`jnl`	Towards a data privacy-predictive performance trade-off. Expert Syst. Appl. Tânia Carvalho, Nuno Moniz, Pedro Faria, Luís Antunes
2022	—	`conf`	4th Workshop on Learning with Imbalanced Domains: Preface. LIDTA Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang
2022	—	`ed.`	Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, LIDTA 2022, Grenoble, France, September 23, 2022 LIDTA Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang
2022	B	`conf`	Model Optimization in Imbalanced Regression. DS Anibal Silva, Rita P. Ribeiro, Nuno Moniz
2022	J	`jnl`	Model Optimization in Imbalanced Regression. CoRR Anibal Silva, Rita P. Ribeiro, Nuno Moniz
2022	J	`jnl`	Privacy-Preserving Data Synthetisation for Secure Information Sharing. CoRR Tânia Carvalho, Nuno Moniz, Pedro Faria, Luís Antunes, Nitesh V. Chawla
2022	J	`jnl`	Robustness Evaluation of Regression Tasks with Skewed Domain Preferences. CoRR Nuno Costa, Nuno Moniz
2022	J	`jnl`	Survey on Privacy-Preserving Techniques for Data Publishing. CoRR Tânia Carvalho, Nuno Moniz, Pedro Faria, Luís Antunes
2022	J	`jnl`	Towards a Data Privacy-Predictive Performance Trade-off. CoRR Tânia Carvalho, Nuno Moniz, Pedro Faria, Luís Antunes
2021	—	`conf`	3rd Workshop on Learning with Imbalanced Domains: Preface. LIDTA@ECML/PKDD Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang
2021	J	`jnl`	Automated imbalanced classification via meta-learning. Expert Syst. Appl. Nuno Moniz, Vítor Cerqueira
2021	J	`jnl`	Biased resampling strategies for imbalanced spatio-temporal forecasting. Int. J. Data Sci. Anal. Mariana Oliveira, Nuno Moniz, Luís Torgo, Vítor Santos Costa
2021	J	`jnl`	No Free Lunch in imbalanced learning. Knowl. Based Syst. Nuno Moniz, Hugo Monteiro
2021	B	`conf`	The Compromise of Data Privacy in Predictive Performance. IDA Tânia Carvalho, Nuno Moniz
2021	—	`ed.`	Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, LIDTA 2021, Bilbao, Spain, September 17, 2021 LIDTA@ECML/PKDD Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang
2020	J	`jnl`	Imbalanced regression and extreme value prediction. Mach. Learn. Rita P. Ribeiro, Nuno Moniz
2020	—	`conf`	Sequence Mining for Automatic Generation of Software Tests from GUI Event Traces. IDEAL (2) Alberto Oliveira, Ricardo Freitas, Alípio Jorge, Vítor Amorim, Nuno Moniz, Ana C. R. Paiva, Paulo J. Azevedo
2020	—	`conf`	Underground Train Tracking using Mobile Phone Accelerometer Data. ITSC Yassine Baghoussi, João Mendes-Moreira, Nuno Moniz, Carlos Soares
2020	J	`jnl`	VEST: Automatic Feature Engineering for Forecasting. CoRR Vítor Cerqueira, Nuno Moniz, Carlos Soares
2019	J	`jnl`	A review on web content popularity prediction: Issues and open challenges. Online Soc. Networks Media Nuno Moniz, Luís Torgo
2019	B	`conf`	Biased Resampling Strategies for Imbalanced Spatio-Temporal Forecasting. DSAA Mariana Oliveira, Nuno Moniz, Luís Torgo, Vítor Santos Costa
2019	J	`jnl`	Real-time 2019 Portuguese Parliament Election Results Dataset. CoRR Nuno Moniz
2018	—	`conf`	2nd Workshop on Learning with Imbalanced Domains: Preface. LIDTA@ECML/PKDD Luís Torgo, Stan Matwin, Nathalie Japkowicz, Bartosz Krawczyk, Nuno Moniz, Paula Branco
2018	—	`conf`	Constructive Aggregation and Its Application to Forecasting with Dynamic Ensembles. ECML/PKDD (1) Vítor Cerqueira, Fábio Pinto, Luís Torgo, Carlos Soares, Nuno Moniz
2018	—	`conf`	Cost-Sensitive Learning: Preface. COST@SDM Luís Torgo, Stan Matwin, Gary Weiss, Nuno Moniz, Paula Branco
2018	J	`jnl`	Multi-Source Social Feedback of Online News Feeds. CoRR Nuno Moniz, Luís Torgo
2018	B	`conf`	SMOTEBoost for Regression: Improving the Prediction of Extreme Values. DSAA Nuno Moniz, Rita P. Ribeiro, Vítor Cerqueira, Nitesh V. Chawla
2018	—	`conf`	The Utility Problem of Web Content Popularity Prediction. HT Nuno Moniz, Luís Torgo
2017	J	`jnl`	A Framework for Recommendation of Highly Popular News Lacking Social Feedback. New Gener. Comput. Nuno Moniz, Luís Torgo, Magdalini Eirinaki, Paula Branco
2017	—	`conf`	Evaluation of Ensemble Methods in Imbalanced Regression Tasks. LIDTA@PKDD/ECML Nuno Moniz, Paula Branco, Luís Torgo
2017	—	`conf`	Learning with Imbalanced Domains: Preface. LIDTA@PKDD/ECML Luís Torgo, Bartosz Krawczyk, Paula Branco, Nuno Moniz
2017	—	`—`	Prediction and Ranking of Highly Popular Web Content Nuno Moniz
2017	J	`jnl`	Resampling strategies for imbalanced time series forecasting. Int. J. Data Sci. Anal. Nuno Moniz, Paula Branco, Luís Torgo
2016	J	`jnl`	Data-Driven Relevance Judgments for Ranking Evaluation. CoRR Nuno Moniz, Luís Torgo, João Vinagre
2016	J	`jnl`	Empirical analysis of the Portuguese governments social network. Soc. Netw. Anal. Min. Nuno Moniz, Francisco Louçã, Márcia D. B. Oliveira, Renato Soeiro
2016	J	`jnl`	Relational Data on Members of Portuguese Governments (1976-2014). Data Nuno Moniz, Adriano Campos
2016	B	`conf`	Resampling Strategies for Imbalanced Time Series. DSAA Nuno Moniz, Paula Branco, Luís Torgo
2016	—	`conf`	Threshold-Bounded Influence Dominating Sets for Recommendations in Social Networks. BDCloud-SocialCom-SustainCom Magdalini Eirinaki, Nuno Moniz, Katerina Potika
2016	—	`conf`	Time-Based Ensembles for Prediction of Rare Events in News Stream. ICDM Workshops Nuno Moniz, Luís Torgo, Magdalini Eirinaki
2015	J	`jnl`	Socially Driven News Recommendation. CoRR Nuno Moniz, Luís Torgo
2014	B	`conf`	Resampling Approaches to Improve News Importance Prediction. IDA Nuno Moniz, Luís Torgo, Fátima Rodrigues
2012	—	`conf`	Extracting Structure, Text and Entities from PDF Documents of the Portuguese Legislation. KDIR Nuno Moniz, Fátima Rodrigues