2024
FairMOE: counterfactually-fair mixture of experts with levels of interpretability.
Mach. Learn., September, 2024
VEST: automatic feature engineering for forecasting.
Mach. Learn., July, 2024
NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning.
,
,
,
,
,
,
,
,
,
,
,
CoRR, 2024
Class-Aware Contrastive Optimization for Imbalanced Text Classification.
CoRR, 2024
LabSafety Bench: Benchmarking LLMs on Safety Issues in Scientific Labs.
CoRR, 2024
BenchmarkCards: Large Language Model and Risk Reporting.
CoRR, 2024
Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge.
,
,
,
,
,
,
,
,
,
,
,
CoRR, 2024
Empowering Open Data Sharing for Social Good: A Privacy-Aware Approach.
CoRR, 2024
Automated Privacy-Preserving Techniques via Meta-Learning.
CoRR, 2024
Relevance-aware Algorithmic Recourse.
CoRR, 2024
Fast Explainability via Feasible Concept Sets Generator.
CoRR, 2024
Conformalized Selective Regression.
CoRR, 2024
Are we Making Much Progress? Revisiting Chemical Reaction Yield Prediction from an Imbalanced Regression Perspective.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Synthetic Data Outliers: Navigating Identity Disclosure.
Proceedings of the Privacy in Statistical Databases - International Conference, 2024
AnyLoss: Transforming Classification Metrics into Loss Functions.
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.
Proceedings of the Progress in Artificial Intelligence, 2024
Time Series Data Augmentation as an Imbalanced Learning Problem.
Proceedings of the Progress in Artificial Intelligence, 2024
2023
Towards a data privacy-predictive performance trade-off.
Expert Syst. Appl., August, 2023
Survey on Privacy-Preserving Techniques for Microdata Publication.
ACM Comput. Surv., 2023
Experiential-Informed Data Reconstruction for Fishery Sustainability and Policies in the Azores.
CoRR, 2023
Class-Imbalanced Learning on Graphs: A Survey.
CoRR, 2023
Imbalanced Regression Evaluation Under Uncertain Domain Preferences.
Proceedings of the Progress in Artificial Intelligence, 2023
A Three-Way Knot: Privacy, Fairness, and Predictive Performance Dynamics.
Proceedings of the Progress in Artificial Intelligence, 2023
Fairness-Aware Mixture of Experts with Interpretability Budgets.
Proceedings of the Discovery Science - 26th International Conference, 2023
First Workshop on Machine Learning Challenges in Cybersecurity.
Proceedings of the 33rd Annual International Conference on Computer Science and Software Engineering, 2023
2022
Robustness Evaluation of Regression Tasks with Skewed Domain Preferences.
CoRR, 2022
Privacy-Preserving Data Synthetisation for Secure Information Sharing.
CoRR, 2022
Survey on Privacy-Preserving Techniques for Data Publishing.
CoRR, 2022
4th Workshop on Learning with Imbalanced Domains: Preface.
Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2022
Model Optimization in Imbalanced Regression.
Proceedings of the Discovery Science - 25th International Conference, 2022
2021
No Free Lunch in imbalanced learning.
Knowl. Based Syst., 2021
Biased resampling strategies for imbalanced spatio-temporal forecasting.
Int. J. Data Sci. Anal., 2021
Automated imbalanced classification via meta-learning.
Expert Syst. Appl., 2021
3rd Workshop on Learning with Imbalanced Domains: Preface.
Proceedings of the Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2021
The Compromise of Data Privacy in Predictive Performance.
Proceedings of the Advances in Intelligent Data Analysis XIX, 2021
2020
Imbalanced regression and extreme value prediction.
Mach. Learn., 2020
Underground Train Tracking using Mobile Phone Accelerometer Data.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
Sequence Mining for Automatic Generation of Software Tests from GUI Event Traces.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020
2019
A review on web content popularity prediction: Issues and open challenges.
Online Soc. Networks Media, 2019
Real-time 2019 Portuguese Parliament Election Results Dataset.
CoRR, 2019
2018
News Popularity in Multiple Social Media Platforms.
Dataset, February, 2018
Multi-Source Social Feedback of Online News Feeds.
CoRR, 2018
Cost-Sensitive Learning: Preface.
Proceedings of the International Workshop on Cost-Sensitive Learning, 2018
2nd Workshop on Learning with Imbalanced Domains: Preface.
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.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
The Utility Problem of Web Content Popularity Prediction.
Proceedings of the 29th on Hypertext and Social Media, 2018
SMOTEBoost for Regression: Improving the Prediction of Extreme Values.
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018
2017
Prediction and Ranking of Highly Popular Web Content
PhD thesis, 2017
A Framework for Recommendation of Highly Popular News Lacking Social Feedback.
New Gener. Comput., 2017
Resampling strategies for imbalanced time series forecasting.
Int. J. Data Sci. Anal., 2017
Learning with Imbalanced Domains: Preface.
Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017
Evaluation of Ensemble Methods in Imbalanced Regression Tasks.
Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017
2016
Empirical analysis of the Portuguese governments social network.
Soc. Netw. Anal. Min., 2016
Relational Data on Members of Portuguese Governments (1976-2014).
Data, 2016
Data-Driven Relevance Judgments for Ranking Evaluation.
CoRR, 2016
Time-Based Ensembles for Prediction of Rare Events in News Stream.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016
Resampling Strategies for Imbalanced Time Series.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016
Threshold-Bounded Influence Dominating Sets for Recommendations in Social Networks.
Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 2016
2015
Socially Driven News Recommendation.
CoRR, 2015
2014
Resampling Approaches to Improve News Importance Prediction.
Proceedings of the Advances in Intelligent Data Analysis XIII, 2014
2012
Extracting Structure, Text and Entities from PDF Documents of the Portuguese Legislation.
Proceedings of the KDIR 2012 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Barcelona, Spain, 4, 2012