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2020 – today
- 2024
[j13]Vítor Cerqueira
, Nuno Moniz, Carlos Soares:
VEST: automatic feature engineering for forecasting. Mach. Learn. 113(7): 4523-4545 (2024)- [j12]Joe Germino, Nuno Moniz, Nitesh V. Chawla:
FairMOE: counterfactually-fair mixture of experts with levels of interpretability. Mach. Learn. 113(9): 6539-6559 (2024) - [c26]Do Heon Han, Nuno Moniz, Nitesh V. Chawla:
AnyLoss: Transforming Classification Metrics into Loss Functions. KDD 2024: 992-1003 - [c25]Carolina Trindade, Luis Antunes, Tânia Carvalho, Nuno Moniz:
Synthetic Data Outliers: Navigating Identity Disclosure. PSD 2024: 240-253 - [c24]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: 790-793 - [i24]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 abs/2402.05971 (2024) - [i23]Anna Sokol, Nuno Moniz, Nitesh V. Chawla:
Conformalized Selective Regression. CoRR abs/2402.16300 (2024) - [i22]Vítor Cerqueira, Nuno Moniz, Ricardo Inácio, Carlos Soares:
Time Series Data Augmentation as an Imbalanced Learning Problem. CoRR abs/2404.18537 (2024) - [i21]Do Heon Han, Nuno Moniz, Nitesh V. Chawla:
AnyLoss: Transforming Classification Metrics into Loss Functions. CoRR abs/2405.14745 (2024) - [i20]Deng Pan, Nuno Moniz, Nitesh V. Chawla:
Fast Explainability via Feasible Concept Sets Generator. CoRR abs/2405.18664 (2024) - [i19]Dongwhi Kim, Nuno Moniz:
Relevance-aware Algorithmic Recourse. CoRR abs/2405.19072 (2024) - [i18]Carolina Trindade, Luis Filipe Coelho Antunes, Tânia Carvalho, Nuno Moniz:
Synthetic Data Outliers: Navigating Identity Disclosure. CoRR abs/2406.02736 (2024) - [i17]Tânia Carvalho, Nuno Moniz, Luís Antunes:
Automated Privacy-Preserving Techniques via Meta-Learning. CoRR abs/2406.16456 (2024) - [i16]Tânia Carvalho, Luís Antunes, Cristina Costa, Nuno Moniz:
Empowering Open Data Sharing for Social Good: A Privacy-Aware Approach. CoRR abs/2408.17378 (2024) - [i15]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:
Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge. CoRR abs/2410.02736 (2024) - 2023
- [j11]Tânia Carvalho, Nuno Moniz, Pedro Faria, Luís Antunes:
Survey on Privacy-Preserving Techniques for Microdata Publication. ACM Comput. Surv. 55(14s): 309:1-309:42 (2023) - [j10]Tânia Carvalho, Nuno Moniz, Pedro Faria, Luís Antunes:
Towards a data privacy-predictive performance trade-off. Expert Syst. Appl. 223: 119785 (2023) - [c23]Paula Branco, Nuno Moniz, Guy-Vincent Jourdan:
First Workshop on Machine Learning Challenges in Cybersecurity. CASCON 2023: 248-250 - [c22]Joe Germino, Nuno Moniz, Nitesh V. Chawla:
Fairness-Aware Mixture of Experts with Interpretability Budgets. DS 2023: 341-355 - [c21]Tânia Carvalho, Nuno Moniz, Luis Antunes:
A Three-Way Knot: Privacy, Fairness, and Predictive Performance Dynamics. EPIA (1) 2023: 55-66 - [c20]Nuno Costa, Nuno Moniz:
Imbalanced Regression Evaluation Under Uncertain Domain Preferences. EPIA (1) 2023: 239-250 - [e5]Nuno Moniz, Zita Vale, José Cascalho, Catarina Silva, Raquel Sebastião:
Progress in Artificial Intelligence - 22nd EPIA Conference on Artificial Intelligence, EPIA 2023, Faial Island, Azores, September 5-8, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14115, Springer 2023, ISBN 978-3-031-49007-1 [contents] - [e4]Nuno Moniz, Zita Vale, José Cascalho, Catarina Silva, Raquel Sebastião:
Progress in Artificial Intelligence - 22nd EPIA Conference on Artificial Intelligence, EPIA 2023, Faial Island, Azores, September 5-8, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14116, Springer 2023, ISBN 978-3-031-49010-1 [contents] - [e3]Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang:
Fifth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 18 September 2023, LIDTA@ECML-PKDD, Turin, Italy. Proceedings of Machine Learning Research 241, PMLR 2023 [contents] - [i14]Yihong Ma, Yijun Tian, Nuno Moniz, Nitesh V. Chawla:
Class-Imbalanced Learning on Graphs: A Survey. CoRR abs/2304.04300 (2023) - [i13]Tânia Carvalho, Nuno Moniz, Luis Filipe Coelho Antunes:
A Three-Way Knot: Privacy, Fairness, and Predictive Performance Dynamics. CoRR abs/2306.15567 (2023) - [i12]Brenda Nogueira, Gui M. Menezes, Nuno Moniz:
Experiential-Informed Data Reconstruction for Fishery Sustainability and Policies in the Azores. CoRR abs/2309.09326 (2023) - [i11]Brenda Nogueira, Ana Torres, Nuno Moniz, Gui M. Menezes:
Dynamics of Fisheries in the Azores Islands: A Network Analysis Approach. CoRR abs/2309.09378 (2023) - 2022
- [c19]Anibal Silva, Rita P. Ribeiro, Nuno Moniz:
Model Optimization in Imbalanced Regression. DS 2022: 3-21 - [c18]Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang:
4th Workshop on Learning with Imbalanced Domains: Preface. LIDTA 2022: 1-7 - [e2]Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang:
Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, LIDTA 2022, Grenoble, France, September 23, 2022. Proceedings of Machine Learning Research 183, PMLR 2022 [contents] - [i10]Tânia Carvalho, Nuno Moniz, Pedro Faria, Luís Antunes:
Towards a Data Privacy-Predictive Performance Trade-off. CoRR abs/2201.05226 (2022) - [i9]Tânia Carvalho, Nuno Moniz, Pedro Faria, Luís Antunes:
Survey on Privacy-Preserving Techniques for Data Publishing. CoRR abs/2201.08120 (2022) - [i8]Anibal Silva, Rita P. Ribeiro, Nuno Moniz:
Model Optimization in Imbalanced Regression. CoRR abs/2206.09991 (2022) - [i7]Tânia Carvalho, Nuno Moniz, Pedro Faria, Luís Antunes, Nitesh V. Chawla:
Privacy-Preserving Data Synthetisation for Secure Information Sharing. CoRR abs/2212.00484 (2022) - [i6]Nuno Costa, Nuno Moniz:
Robustness Evaluation of Regression Tasks with Skewed Domain Preferences. CoRR abs/2212.07562 (2022) - 2021
- [j9]Nuno Moniz, Vítor Cerqueira:
Automated imbalanced classification via meta-learning. Expert Syst. Appl. 178: 115011 (2021) - [j8]Mariana Oliveira, Nuno Moniz, Luís Torgo, Vítor Santos Costa:
Biased resampling strategies for imbalanced spatio-temporal forecasting. Int. J. Data Sci. Anal. 12(3): 205-228 (2021) - [j7]Nuno Moniz, Hugo Monteiro:
No Free Lunch in imbalanced learning. Knowl. Based Syst. 227: 107222 (2021) - [c17]Tânia Carvalho, Nuno Moniz:
The Compromise of Data Privacy in Predictive Performance. IDA 2021: 426-438 - [c16]Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang:
3rd Workshop on Learning with Imbalanced Domains: Preface. LIDTA@ECML/PKDD 2021: 1-6 - [e1]Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang:
Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, LIDTA 2021, Bilbao, Spain, September 17, 2021. Proceedings of Machine Learning Research 154, PMLR 2021 [contents] - 2020
- [j6]Rita P. Ribeiro, Nuno Moniz:
Imbalanced regression and extreme value prediction. Mach. Learn. 109(9-10): 1803-1835 (2020) - [c15]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: 516-523 - [c14]Yassine Baghoussi, João Mendes-Moreira, Nuno Moniz, Carlos Soares:
Underground Train Tracking using Mobile Phone Accelerometer Data. ITSC 2020: 1-6 - [i5]Vítor Cerqueira, Nuno Moniz, Carlos Soares:
VEST: Automatic Feature Engineering for Forecasting. CoRR abs/2010.07137 (2020)
2010 – 2019
- 2019
- [j5]Nuno Moniz, Luís Torgo:
A review on web content popularity prediction: Issues and open challenges. Online Soc. Networks Media 12: 1-20 (2019) - [c13]Mariana Oliveira, Nuno Moniz, Luís Torgo, Vítor Santos Costa:
Biased Resampling Strategies for Imbalanced Spatio-Temporal Forecasting. DSAA 2019: 100-109 - [i4]Nuno Moniz:
Real-time 2019 Portuguese Parliament Election Results Dataset. CoRR abs/1912.08922 (2019) - 2018
- [c12]Nuno Moniz, Rita P. Ribeiro, Vítor Cerqueira, Nitesh V. Chawla:
SMOTEBoost for Regression: Improving the Prediction of Extreme Values. DSAA 2018: 150-159 - [c11]Nuno Moniz, Luís Torgo:
The Utility Problem of Web Content Popularity Prediction. HT 2018: 82-86 - [c10]Luís Torgo, Stan Matwin, Nathalie Japkowicz, Bartosz Krawczyk, Nuno Moniz, Paula Branco:
2nd Workshop on Learning with Imbalanced Domains: Preface. LIDTA@ECML/PKDD 2018: 1-7 - [c9]Vítor Cerqueira, Fábio Pinto, Luís Torgo, Carlos Soares, Nuno Moniz:
Constructive Aggregation and Its Application to Forecasting with Dynamic Ensembles. ECML/PKDD (1) 2018: 620-636 - [c8]Luís Torgo, Stan Matwin, Gary Weiss, Nuno Moniz, Paula Branco:
Cost-Sensitive Learning: Preface. COST@SDM 2018: 1-3 - [d1]Luís Torgo, Nuno Moniz:
News Popularity in Multiple Social Media Platforms. UCI Machine Learning Repository, 2018
- [i3]Nuno Moniz, Luís Torgo:
Multi-Source Social Feedback of Online News Feeds. CoRR abs/1801.07055 (2018) - 2017
- [b1]Nuno Moniz:
Prediction and Ranking of Highly Popular Web Content. University of Porto, Portugal, 2017 - [j4]Nuno Moniz, Paula Branco, Luís Torgo:
Resampling strategies for imbalanced time series forecasting. Int. J. Data Sci. Anal. 3(3): 161-181 (2017) - [j3]Nuno Moniz, Luís Torgo, Magdalini Eirinaki, Paula Branco:
A Framework for Recommendation of Highly Popular News Lacking Social Feedback. New Gener. Comput. 35(4): 417-450 (2017) - [c7]Luís Torgo, Bartosz Krawczyk, Paula Branco, Nuno Moniz:
Learning with Imbalanced Domains: Preface. LIDTA@PKDD/ECML 2017: 1-6 - [c6]Nuno Moniz, Paula Branco, Luís Torgo:
Evaluation of Ensemble Methods in Imbalanced Regression Tasks. LIDTA@PKDD/ECML 2017: 129-140 - 2016
- [j2]Nuno Moniz, Adriano Campos:
Relational Data on Members of Portuguese Governments (1976-2014). Data 1(1): 1 (2016) - [j1]Nuno Moniz, Francisco Louçã, Márcia D. B. Oliveira, Renato Soeiro:
Empirical analysis of the Portuguese governments social network. Soc. Netw. Anal. Min. 6(1): 43:1-43:19 (2016) - [c5]Magdalini Eirinaki, Nuno Moniz, Katerina Potika:
Threshold-Bounded Influence Dominating Sets for Recommendations in Social Networks. BDCloud-SocialCom-SustainCom 2016: 408-415 - [c4]Nuno Moniz, Paula Branco, Luís Torgo:
Resampling Strategies for Imbalanced Time Series. DSAA 2016: 282-291 - [c3]Nuno Moniz, Luís Torgo, Magdalini Eirinaki:
Time-Based Ensembles for Prediction of Rare Events in News Stream. ICDM Workshops 2016: 1066-1073 - [i2]Nuno Moniz, Luís Torgo, João Vinagre:
Data-Driven Relevance Judgments for Ranking Evaluation. CoRR abs/1612.06136 (2016) - 2015
- [i1]Nuno Moniz, Luís Torgo:
Socially Driven News Recommendation. CoRR abs/1506.01743 (2015) - 2014
- [c2]Nuno Moniz, Luís Torgo, Fátima Rodrigues:
Resampling Approaches to Improve News Importance Prediction. IDA 2014: 215-226 - 2012
- [c1]Nuno Moniz, Fátima Rodrigues:
Extracting Structure, Text and Entities from PDF Documents of the Portuguese Legislation. KDIR 2012: 123-131
Coauthor Index
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last updated on 2024-11-11 21:29 CET by the dblp team
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