Nuno Moniz

According to our database, Nuno Moniz authored at least 60 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

FairMOE: counterfactually-fair mixture of experts with levels of interpretability.

Joe Germino, Nuno Moniz, Nitesh V. Chawla

Mach. Learn., September, 2024

VEST: automatic feature engineering for forecasting.

Vítor Cerqueira, Nuno Moniz, Carlos Soares

Mach. Learn., July, 2024

Class-Aware Contrastive Optimization for Imbalanced Text Classification.

Grigorii Khvatskii, Nuno Moniz, Khoa Doan, Nitesh V. Chawla

CoRR, 2024

LabSafety Bench: Benchmarking LLMs on Safety Issues in Scientific Labs.

Yujun Zhou, Jingdong Yang, Kehan Guo, Pin-Yu Chen, Tian Gao, Werner Geyer, Nuno Moniz, Nitesh V. Chawla, Xiangliang Zhang

CoRR, 2024

BenchmarkCards: Large Language Model and Risk Reporting.

Anna Sokol, Nuno Moniz, Elizabeth Daly, Michael Hind, Nitesh V. Chawla

CoRR, 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

CoRR, 2024

Empowering Open Data Sharing for Social Good: A Privacy-Aware Approach.

Tânia Carvalho, Luís Antunes, Cristina Costa, Nuno Moniz

CoRR, 2024

Automated Privacy-Preserving Techniques via Meta-Learning.

Tânia Carvalho, Nuno Moniz, Luís Antunes

CoRR, 2024

Relevance-aware Algorithmic Recourse.

Dongwhi Kim, Nuno Moniz

CoRR, 2024

Fast Explainability via Feasible Concept Sets Generator.

Deng Pan, Nuno Moniz, Nitesh V. Chawla

CoRR, 2024

Conformalized Selective Regression.

Anna Sokol, Nuno Moniz, Nitesh V. Chawla

CoRR, 2024

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

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Synthetic Data Outliers: Navigating Identity Disclosure.

Carolina Trindade, Luis Antunes, Tânia Carvalho, Nuno Moniz

Proceedings of the Privacy in Statistical Databases - International Conference, 2024

AnyLoss: Transforming Classification Metrics into Loss Functions.

Do Heon Han, Nuno Moniz, Nitesh V. Chawla

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Dynamics of Fisheries in the Azores Islands: A Network Analysis Approach.

Brenda Nogueira, Ana Torres, Nuno Moniz, Gui M. Menezes

Proceedings of the Progress in Artificial Intelligence, 2024

Time Series Data Augmentation as an Imbalanced Learning Problem.

Vítor Cerqueira, Nuno Moniz, Ricardo Inácio, Carlos Soares

Proceedings of the Progress in Artificial Intelligence, 2024

2023

Towards a data privacy-predictive performance trade-off.

Tânia Carvalho, Nuno Moniz, Pedro Faria, Luís Antunes

Expert Syst. Appl., August, 2023

Survey on Privacy-Preserving Techniques for Microdata Publication.

Tânia Carvalho, Nuno Moniz, Pedro Faria, Luís Antunes

ACM Comput. Surv., 2023

Experiential-Informed Data Reconstruction for Fishery Sustainability and Policies in the Azores.

Brenda Nogueira, Gui M. Menezes, Nuno Moniz

CoRR, 2023

Class-Imbalanced Learning on Graphs: A Survey.

Yihong Ma, Yijun Tian, Nuno Moniz, Nitesh V. Chawla

CoRR, 2023

Imbalanced Regression Evaluation Under Uncertain Domain Preferences.

Nuno Costa, Nuno Moniz

Proceedings of the Progress in Artificial Intelligence, 2023

A Three-Way Knot: Privacy, Fairness, and Predictive Performance Dynamics.

Tânia Carvalho, Nuno Moniz, Luis Antunes

Proceedings of the Progress in Artificial Intelligence, 2023

Fairness-Aware Mixture of Experts with Interpretability Budgets.

Joe Germino, Nuno Moniz, Nitesh V. Chawla

Proceedings of the Discovery Science - 26th International Conference, 2023

First Workshop on Machine Learning Challenges in Cybersecurity.

Paula Branco, Nuno Moniz, Guy-Vincent Jourdan

Proceedings of the 33rd Annual International Conference on Computer Science and Software Engineering, 2023

2022

Robustness Evaluation of Regression Tasks with Skewed Domain Preferences.

Nuno Costa, Nuno Moniz

CoRR, 2022

Privacy-Preserving Data Synthetisation for Secure Information Sharing.

Tânia Carvalho, Nuno Moniz, Pedro Faria, Luís Antunes, Nitesh V. Chawla

CoRR, 2022

Survey on Privacy-Preserving Techniques for Data Publishing.

Tânia Carvalho, Nuno Moniz, Pedro Faria, Luís Antunes

CoRR, 2022

4th Workshop on Learning with Imbalanced Domains: Preface.

Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang

Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2022

Model Optimization in Imbalanced Regression.

Anibal Silva, Rita P. Ribeiro, Nuno Moniz

Proceedings of the Discovery Science - 25th International Conference, 2022

2021

No Free Lunch in imbalanced learning.

Nuno Moniz, Hugo Monteiro

Knowl. Based Syst., 2021

Biased resampling strategies for imbalanced spatio-temporal forecasting.

Mariana Oliveira, Nuno Moniz, Luís Torgo, Vítor Santos Costa

Int. J. Data Sci. Anal., 2021

Automated imbalanced classification via meta-learning.

Nuno Moniz, Vítor Cerqueira

Expert Syst. Appl., 2021

3rd Workshop on Learning with Imbalanced Domains: Preface.

Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang

Proceedings of the Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2021

The Compromise of Data Privacy in Predictive Performance.

Tânia Carvalho, Nuno Moniz

Proceedings of the Advances in Intelligent Data Analysis XIX, 2021

2020

Imbalanced regression and extreme value prediction.

Rita P. Ribeiro, Nuno Moniz

Mach. Learn., 2020

Underground Train Tracking using Mobile Phone Accelerometer Data.

Yassine Baghoussi, João Mendes-Moreira, Nuno Moniz, Carlos Soares

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Sequence Mining for Automatic Generation of Software Tests from GUI Event Traces.

Alberto Oliveira, Ricardo Freitas, Alípio Jorge, Vítor Amorim, Nuno Moniz, Ana C. R. Paiva, Paulo J. Azevedo

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

2019

A review on web content popularity prediction: Issues and open challenges.

Nuno Moniz, Luís Torgo

Online Soc. Networks Media, 2019

Real-time 2019 Portuguese Parliament Election Results Dataset.

Nuno Moniz

CoRR, 2019

2018

News Popularity in Multiple Social Media Platforms.

Luís Torgo, Nuno Moniz

Dataset, February, 2018

Multi-Source Social Feedback of Online News Feeds.

Nuno Moniz, Luís Torgo

CoRR, 2018

Cost-Sensitive Learning: Preface.

Luís Torgo, Stan Matwin, Gary Weiss, Nuno Moniz, Paula Branco

Proceedings of the International Workshop on Cost-Sensitive Learning, 2018

2nd Workshop on Learning with Imbalanced Domains: Preface.

Luís Torgo, Stan Matwin, Nathalie Japkowicz, Bartosz Krawczyk, Nuno Moniz, Paula Branco

Proceedings of the Second International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2018

Constructive Aggregation and Its Application to Forecasting with Dynamic Ensembles.

Vítor Cerqueira, Fábio Pinto, Luís Torgo, Carlos Soares, Nuno Moniz

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

The Utility Problem of Web Content Popularity Prediction.

Nuno Moniz, Luís Torgo

Proceedings of the 29th on Hypertext and Social Media, 2018

SMOTEBoost for Regression: Improving the Prediction of Extreme Values.

Nuno Moniz, Rita P. Ribeiro, Vítor Cerqueira, Nitesh V. Chawla

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

2017

Prediction and Ranking of Highly Popular Web Content

Nuno Moniz

PhD thesis, 2017

A Framework for Recommendation of Highly Popular News Lacking Social Feedback.

Nuno Moniz, Luís Torgo, Magdalini Eirinaki, Paula Branco

New Gener. Comput., 2017

Resampling strategies for imbalanced time series forecasting.

Nuno Moniz, Paula Branco, Luís Torgo

Int. J. Data Sci. Anal., 2017

Learning with Imbalanced Domains: Preface.

Luís Torgo, Bartosz Krawczyk, Paula Branco, Nuno Moniz

Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017

Evaluation of Ensemble Methods in Imbalanced Regression Tasks.

Nuno Moniz, Paula Branco, Luís Torgo

Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017

2016

Empirical analysis of the Portuguese governments social network.

Nuno Moniz, Francisco Louçã, Márcia D. B. Oliveira, Renato Soeiro

Soc. Netw. Anal. Min., 2016

Relational Data on Members of Portuguese Governments (1976-2014).

Nuno Moniz, Adriano Campos

Data, 2016

Data-Driven Relevance Judgments for Ranking Evaluation.

Nuno Moniz, Luís Torgo, João Vinagre

CoRR, 2016

Time-Based Ensembles for Prediction of Rare Events in News Stream.

Nuno Moniz, Luís Torgo, Magdalini Eirinaki

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Resampling Strategies for Imbalanced Time Series.

Nuno Moniz, Paula Branco, Luís Torgo

Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

Threshold-Bounded Influence Dominating Sets for Recommendations in Social Networks.

Magdalini Eirinaki, Nuno Moniz, Katerina Potika

Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 2016

2015

Socially Driven News Recommendation.

Nuno Moniz, Luís Torgo

CoRR, 2015

2014

Resampling Approaches to Improve News Importance Prediction.

Nuno Moniz, Luís Torgo, Fátima Rodrigues

Proceedings of the Advances in Intelligent Data Analysis XIII, 2014

2012

Extracting Structure, Text and Entities from PDF Documents of the Portuguese Legislation.

Nuno Moniz, Fátima Rodrigues

Proceedings of the KDIR 2012 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Barcelona, Spain, 4, 2012