Hugo Manuel Proença

According to our database, Hugo Manuel Proença authored at least 12 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Metalearners for Ranking Treatment Effects.

Toon Vanderschueren, Wouter Verbeke, Felipe Moraes, Hugo Manuel Proença

CoRR, 2024

Lifecycle of Promotional Campaigns in the Online Travel Industry.

Carlos Herrero, Amit Livne, Itsik Adiv, Hugo Manuel Proença, Felipe Moraes, Javier Albert, Dima Goldenberg

Proceedings of the Workshop on Recommenders in Tourism co-located with the 18th ACM Conference on Recommender Systems (RecSys 2024), 2024

2023

Incremental Profit per Conversion: a Response Transformation for Uplift Modeling in E-Commerce Promotions.

Hugo Manuel Proença, Felipe Moraes

CoRR, 2023

Discovering Diverse Top-K Characteristic Lists.

Antonio Lopez-Martinez-Carrasco, Hugo Manuel Proença, Jose M. Juarez, Matthijs van Leeuwen, Manuel Campos

Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

Uplift Modeling: From Causal Inference to Personalization.

Felipe Moraes, Hugo Manuel Proença, Anastasiia Kornilova, Javier Albert, Dmitri Goldenberg

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Novel Approach for Phenotyping Based on Diverse Top-K Subgroup Lists.

Antonio Lopez-Martinez-Carrasco, Hugo Manuel Proença, Jose M. Juarez, Matthijs van Leeuwen, Manuel Campos

Proceedings of the Artificial Intelligence in Medicine, 2023

2022

Robust subgroup discovery.

Hugo Manuel Proença, Peter Grünwald, Thomas Bäck, Matthijs van Leeuwen

Data Min. Knowl. Discov., 2022

2021

Robust subgroup discovery.

Hugo Manuel Proença, Thomas Bäck, Matthijs van Leeuwen

CoRR, 2021

2020

Interpretable multiclass classification by MDL-based rule lists.

Hugo Manuel Proença, Matthijs van Leeuwen

Inf. Sci., 2020

Discovering Outstanding Subgroup Lists for Numeric Targets Using MDL.

Hugo Manuel Proença, Peter Grünwald, Thomas Bäck, Matthijs van Leeuwen

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2018

Identifying flight delay patterns using diverse subgroup discovery.

Hugo Manuel Proença, Ruben Klijn, Thomas Bäck, Matthijs van Leeuwen

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

2016

Optimizing probabilistic fuzzy systems for classification using metaheuristics.

Hugo Manuel Proença, Susana M. Vieira, Uzay Kaymak, Rui Jorge Almeida, João M. C. Sousa

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016