Nuno Moniz

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 57

Top Topics

Feature Engineering

Top Venues

Publications

Carolina Trindade, Luis Filipe Coelho Antunes, Tânia Carvalho, Nuno Moniz
Synthetic Data Outliers: Navigating Identity Disclosure. CoRR (2024)
Vítor Cerqueira, Nuno Moniz, Ricardo Inácio, Carlos Soares
Time Series Data Augmentation as an Imbalanced Learning Problem. CoRR (2024)
Anna Sokol, Nuno Moniz, Nitesh V. Chawla
Conformalized Selective Regression. CoRR (2024)
Tânia Carvalho, Nuno Moniz, Luís Antunes
Automated Privacy-Preserving Techniques via Meta-Learning. CoRR (2024)
Joe Germino, Nuno Moniz, Nitesh V. Chawla
FairMOE: counterfactually-fair mixture of experts with levels of interpretability. Mach. Learn. 113 (9) (2024)
Do Heon Han, Nuno Moniz, Nitesh V. Chawla
AnyLoss: Transforming Classification Metrics into Loss Functions. KDD (2024)
Do Heon Han, Nuno Moniz, Nitesh V. Chawla
AnyLoss: Transforming Classification Metrics into Loss Functions. CoRR (2024)
Dongwhi Kim, Nuno Moniz
Relevance-aware Algorithmic Recourse. CoRR (2024)
Deng Pan, Nuno Moniz, Nitesh V. Chawla
Fast Explainability via Feasible Concept Sets Generator. CoRR (2024)
Yihong Ma, Xiaobao Huang, Bozhao Nan, Nuno Moniz, Xiangliang Zhang, Olaf Wiest, Nitesh V. Chawla
Are we making much progress? Revisiting chemical reaction yield prediction from an imbalanced regression perspective. CoRR (2024)
Yihong Ma, Xiaobao Huang, Bozhao Nan, Nuno Moniz, Xiangliang Zhang, Olaf Wiest, Nitesh V. Chawla
Are we Making Much Progress? Revisiting Chemical Reaction Yield Prediction from an Imbalanced Regression Perspective. WWW (Companion Volume) (2024)
Vítor Cerqueira, Nuno Moniz, Carlos Soares
VEST: automatic feature engineering for forecasting. Mach. Learn. 113 (7) (2024)
Yihong Ma, Yijun Tian, Nuno Moniz, Nitesh V. Chawla
Class-Imbalanced Learning on Graphs: A Survey. CoRR (2023)
Tânia Carvalho, Nuno Moniz, Luis Antunes
A Three-Way Knot: Privacy, Fairness, and Predictive Performance Dynamics. EPIA (1) (2023)
Tânia Carvalho, Nuno Moniz, Luis Filipe Coelho Antunes
A Three-Way Knot: Privacy, Fairness, and Predictive Performance Dynamics. CoRR (2023)
Joe Germino, Nuno Moniz, Nitesh V. Chawla
Fairness-Aware Mixture of Experts with Interpretability Budgets. DS (2023)
Paula Branco, Nuno Moniz, Guy-Vincent Jourdan
First Workshop on Machine Learning Challenges in Cybersecurity. CASCON (2023)
Brenda Nogueira, Ana Torres, Nuno Moniz, Gui M. Menezes
Dynamics of Fisheries in the Azores Islands: A Network Analysis Approach. CoRR (2023)
Tânia Carvalho, Nuno Moniz, Pedro Faria, Luís Antunes
Towards a data privacy-predictive performance trade-off. Expert Syst. Appl. 223 (2023)
Nuno Costa, Nuno Moniz
Imbalanced Regression Evaluation Under Uncertain Domain Preferences. EPIA (1) (2023)
Tânia Carvalho, Nuno Moniz, Pedro Faria, Luís Antunes
Survey on Privacy-Preserving Techniques for Microdata Publication. ACM Comput. Surv. 55 (14s) (2023)
Brenda Nogueira, Gui M. Menezes, Nuno Moniz
Experiential-Informed Data Reconstruction for Fishery Sustainability and Policies in the Azores. CoRR (2023)
Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang
4th Workshop on Learning with Imbalanced Domains: Preface. LIDTA (2022)
Tânia Carvalho, Nuno Moniz, Pedro Faria, Luís Antunes
Survey on Privacy-Preserving Techniques for Data Publishing. CoRR (2022)
Tânia Carvalho, Nuno Moniz, Pedro Faria, Luís Antunes
Towards a Data Privacy-Predictive Performance Trade-off. CoRR (2022)
Anibal Silva, Rita P. Ribeiro, Nuno Moniz
Model Optimization in Imbalanced Regression. CoRR (2022)
Nuno Costa, Nuno Moniz
Robustness Evaluation of Regression Tasks with Skewed Domain Preferences. CoRR (2022)
Tânia Carvalho, Nuno Moniz, Pedro Faria, Luís Antunes, Nitesh V. Chawla
Privacy-Preserving Data Synthetisation for Secure Information Sharing. CoRR (2022)
Anibal Silva, Rita P. Ribeiro, Nuno Moniz
Model Optimization in Imbalanced Regression. DS (2022)
Nuno Moniz, Vítor Cerqueira
Automated imbalanced classification via meta-learning. Expert Syst. Appl. 178 (2021)
Nuno Moniz, Hugo Monteiro
No Free Lunch in imbalanced learning. Knowl. Based Syst. 227 (2021)
Tânia Carvalho, Nuno Moniz
The Compromise of Data Privacy in Predictive Performance. IDA (2021)
Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang
3rd Workshop on Learning with Imbalanced Domains: Preface. LIDTA@ECML/PKDD (2021)
Mariana Oliveira, Nuno Moniz, Luís Torgo, Vítor Santos Costa
Biased resampling strategies for imbalanced spatio-temporal forecasting. Int. J. Data Sci. Anal. 12 (3) (2021)
Alberto Oliveira, Ricardo Freitas, Alípio Jorge, Vítor Amorim, Nuno Moniz, Ana C. R. Paiva, Paulo J. Azevedo
Sequence Mining for Automatic Generation of Software Tests from GUI Event Traces. IDEAL (2) (2020)
Yassine Baghoussi, João Mendes-Moreira, Nuno Moniz, Carlos Soares
Underground Train Tracking using Mobile Phone Accelerometer Data. ITSC (2020)
Vítor Cerqueira, Nuno Moniz, Carlos Soares
VEST: Automatic Feature Engineering for Forecasting. CoRR (2020)
Rita P. Ribeiro, Nuno Moniz
Imbalanced regression and extreme value prediction. Mach. Learn. 109 (9-10) (2020)
Nuno Moniz
Real-time 2019 Portuguese Parliament Election Results Dataset. CoRR (2019)
Mariana Oliveira, Nuno Moniz, Luís Torgo, Vítor Santos Costa
Biased Resampling Strategies for Imbalanced Spatio-Temporal Forecasting. DSAA (2019)
Nuno Moniz, Luís Torgo
A review on web content popularity prediction: Issues and open challenges. Online Soc. Networks Media 12 (2019)
Nuno Moniz, Luís Torgo
The Utility Problem of Web Content Popularity Prediction. HT (2018)
Luís Torgo, Stan Matwin, Gary Weiss, Nuno Moniz, Paula Branco
Cost-Sensitive Learning: Preface. COST@SDM (2018)
Vítor Cerqueira, Fábio Pinto, Luís Torgo, Carlos Soares, Nuno Moniz
Constructive Aggregation and Its Application to Forecasting with Dynamic Ensembles. ECML/PKDD (1) (2018)
Luís Torgo, Stan Matwin, Nathalie Japkowicz, Bartosz Krawczyk, Nuno Moniz, Paula Branco
2nd Workshop on Learning with Imbalanced Domains: Preface. LIDTA@ECML/PKDD (2018)
Nuno Moniz, Luís Torgo
Multi-Source Social Feedback of Online News Feeds. CoRR (2018)
Nuno Moniz, Rita P. Ribeiro, Vítor Cerqueira, Nitesh V. Chawla
SMOTEBoost for Regression: Improving the Prediction of Extreme Values. DSAA (2018)
Nuno Moniz, Paula Branco, Luís Torgo
Resampling strategies for imbalanced time series forecasting. Int. J. Data Sci. Anal. 3 (3) (2017)
Nuno Moniz, Luís Torgo, Magdalini Eirinaki, Paula Branco
A Framework for Recommendation of Highly Popular News Lacking Social Feedback. New Gener. Comput. 35 (4) (2017)
Nuno Moniz, Paula Branco, Luís Torgo
Evaluation of Ensemble Methods in Imbalanced Regression Tasks. LIDTA@PKDD/ECML (2017)
Luís Torgo, Bartosz Krawczyk, Paula Branco, Nuno Moniz
Learning with Imbalanced Domains: Preface. LIDTA@PKDD/ECML (2017)
Nuno Moniz, Adriano Campos
Relational Data on Members of Portuguese Governments (1976-2014). Data 1 (1) (2016)
Nuno Moniz, Luís Torgo, João Vinagre
Data-Driven Relevance Judgments for Ranking Evaluation. CoRR (2016)
Nuno Moniz, Luís Torgo, Magdalini Eirinaki
Time-Based Ensembles for Prediction of Rare Events in News Stream. ICDM Workshops (2016)
Nuno Moniz, Francisco Louçã, Márcia D. B. Oliveira, Renato Soeiro
Empirical analysis of the Portuguese governments social network. Soc. Netw. Anal. Min. 6 (1) (2016)
Nuno Moniz, Paula Branco, Luís Torgo
Resampling Strategies for Imbalanced Time Series. DSAA (2016)
Magdalini Eirinaki, Nuno Moniz, Katerina Potika
Threshold-Bounded Influence Dominating Sets for Recommendations in Social Networks. BDCloud-SocialCom-SustainCom (2016)
Nuno Moniz, Luís Torgo
Socially Driven News Recommendation. CoRR (2015)
Nuno Moniz, Luís Torgo, Fátima Rodrigues
Resampling Approaches to Improve News Importance Prediction. IDA (2014)
Nuno Moniz, Fátima Rodrigues
Extracting Structure, Text and Entities from PDF Documents of the Portuguese Legislation. KDIR (2012)