Pedro Saleiro

According to our database, Pedro Saleiro authored at least 44 papers between 2013 and 2024.

Collaborative distances:

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

2024

Cost-Sensitive Learning to Defer to Multiple Experts with Workload Constraints.

Jean V. Alves, Diogo Leitão, Sérgio M. Jesus, Marco O. P. Sampaio, Javier Liébana, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro

Trans. Mach. Learn. Res., 2024

Mind the truncation gap: challenges of learning on dynamic graphs with recurrent architectures.

João Bravo, Jacopo Bono, Pedro Saleiro, Hugo M. Ferreira, Pedro Bizarro

CoRR, 2024

Aequitas Flow: Streamlining Fair ML Experimentation.

Sérgio M. Jesus, Pedro Saleiro, Inês Oliveira e Silva, Beatriz M. Jorge, Rita P. Ribeiro, João Gama, Pedro Bizarro, Rayid Ghani

CoRR, 2024

DiConStruct: Causal Concept-based Explanations through Black-Box Distillation.

Ricardo Moreira, Jacopo Bono, Mário Cardoso, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro

CoRR, 2024

Fair-OBNC: Correcting Label Noise for Fairer Datasets.

Inês Oliveira e Silva, Sérgio M. Jesus, Hugo M. Ferreira, Pedro Saleiro, Inês Sousa, Pedro Bizarro, Carlos Soares

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

DiConStruct: Causal Concept-based Explanations through Black-Box Distillation.

Ricardo Miguel de Oliveira Moreira, Jacopo Bono, Mário Cardoso, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro

Proceedings of the Causal Learning and Reasoning, 2024

On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods.

Kasun Amarasinghe, Kit T. Rodolfa, Sérgio M. Jesus, Valerie Chen, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro, Ameet Talwalkar, Rayid Ghani

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

FiFAR: A Fraud Detection Dataset for Learning to Defer.

Jean V. Alves, Diogo Leitão, Sérgio M. Jesus, Marco O. P. Sampaio, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro

CoRR, 2023

Fairness-Aware Data Valuation for Supervised Learning.

José Pombal, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro

CoRR, 2023

A Case Study on Designing Evaluations of ML Explanations with Simulated User Studies.

Ada Martin, Valerie Chen, Sérgio M. Jesus, Pedro Saleiro

CoRR, 2023

Addressing Bias and Fairness in Machine Learning: A Practical Guide and Hands-on Tutorial.

Rayid Ghani, Kit T. Rodolfa, Pedro Saleiro, Sérgio M. Jesus

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

FairGBM: Gradient Boosting with Fairness Constraints.

André Ferreira Cruz, Catarina G. Belém, João Bravo, Pedro Saleiro, Pedro Bizarro

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Understanding Unfairness in Fraud Detection through Model and Data Bias Interactions.

José Pombal, André Ferreira Cruz, João Bravo, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro

CoRR, 2022

Human-AI Collaboration in Decision-Making: Beyond Learning to Defer.

Diogo Leitão, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro

CoRR, 2022

Prisoners of Their Own Devices: How Models Induce Data Bias in Performative Prediction.

José Pombal, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro

CoRR, 2022

ConceptDistil: Model-Agnostic Distillation of Concept Explanations.

João Bento Sousa, Ricardo Moreira, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro

CoRR, 2022

Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation.

Sérgio M. Jesus, José Pombal, Duarte M. Alves, André Ferreira Cruz, Pedro Saleiro, Rita P. Ribeiro, João Gama, Pedro Bizarro

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

LaundroGraph: Self-Supervised Graph Representation Learning for Anti-Money Laundering.

Mário Cardoso, Pedro Saleiro, Pedro Bizarro

Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

2021

Weakly Supervised Multi-task Learning for Concept-based Explainability.

Catarina G. Belém, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro

CoRR, 2021

TimeSHAP: Explaining Recurrent Models through Sequence Perturbations.

João Bento, Pedro Saleiro, André Ferreira Cruz, Mário A. T. Figueiredo, Pedro Bizarro

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Promoting Fairness through Hyperparameter Optimization.

André Ferreira Cruz, Pedro Saleiro, Catarina G. Belém, Carlos Soares, Pedro Bizarro

Proceedings of the IEEE International Conference on Data Mining, 2021

How can I choose an explainer?: An Application-grounded Evaluation of Post-hoc Explanations.

Sérgio M. Jesus, Catarina G. Belém, Vladimir Balayan, João Bento, Pedro Saleiro, Pedro Bizarro, João Gama

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

2020

Teaching the Machine to Explain Itself using Domain Knowledge.

Vladimir Balayan, Pedro Saleiro, Catarina G. Belém, Ludwig Krippahl, Pedro Bizarro

CoRR, 2020

A Bandit-Based Algorithm for Fairness-Aware Hyperparameter Optimization.

André Ferreira Cruz, Pedro Saleiro, Catarina G. Belém, Carlos Soares, Pedro Bizarro

CoRR, 2020

Dealing with Bias and Fairness in Data Science Systems: A Practical Hands-on Tutorial.

Pedro Saleiro, Kit T. Rodolfa, Rayid Ghani

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2018

Aequitas: A Bias and Fairness Audit Toolkit.

Pedro Saleiro, Benedict Kuester, Abby Stevens, Ari Anisfeld, Loren Hinkson, Jesse London, Rayid Ghani

CoRR, 2018

Entity-Relationship Search over the Web.

Pedro Saleiro, Natasa Milic-Frayling, Eduarda Mendes Rodrigues, Carlos Soares

CoRR, 2018

Entity Retrieval and Text Mining for Online Reputation Monitoring.

Pedro Saleiro

CoRR, 2018

Social Media Brand Engagement as a Proxy for E-Commerce Activities: A Case Study of Sina Weibo and JD.

Weiqiang Lin, Pedro Saleiro, Natasa Milic-Frayling, Eugene Ch'ng

Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

2017

TexRep: A Text Mining Framework for Online Reputation Monitoring.

Pedro Saleiro, Eduarda Mendes Rodrigues, Carlos Soares, Eugénio Oliveira

New Gener. Comput., 2017

Characterizing Geo-located Tweets in Brazilian Megacities.

João Pereira, Arian Pasquali, Pedro Saleiro, Rosaldo Rossetti, Nélio Cacho

CoRR, 2017

Early Fusion Strategy for Entity-Relationship Retrieval.

Pedro Saleiro, Natasa Milic-Frayling, Eduarda Mendes Rodrigues, Carlos Soares

Proceedings of the First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR 2017) co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), 2017

RELink: A Research Framework and Test Collection for Entity-Relationship Retrieval.

Pedro Saleiro, Natasa Milic-Frayling, Eduarda Mendes Rodrigues, Carlos Soares

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

FEUP at SemEval-2017 Task 5: Predicting Sentiment Polarity and Intensity with Financial Word Embeddings.

Pedro Saleiro, Eduarda Mendes Rodrigues, Carlos Soares, Eugénio C. Oliveira

Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

Learning Word Embeddings from the Portuguese Twitter Stream: A Study of Some Practical Aspects.

Pedro Saleiro, Luís Sarmento, Eduarda Mendes Rodrigues, Carlos Soares, Eugénio C. Oliveira

Proceedings of the Progress in Artificial Intelligence, 2017

Transportation in Social Media: An Automatic Classifier for Travel-Related Tweets.

João Pereira, Arian Pasquali, Pedro Saleiro, Rosaldo Rossetti

Proceedings of the Progress in Artificial Intelligence, 2017

2016

Mining social media for open innovation in transportation systems.

Daniela Ulloa, Pedro Saleiro, Rosaldo J. F. Rossetti, Elis Regina Silva

Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Learning from the News: Predicting Entity Popularity on Twitter.

Pedro Saleiro, Carlos Soares

Proceedings of the Advances in Intelligent Data Analysis XV - 15th International Symposium, 2016

TimeMachine: Entity-Centric Search and Visualization of News Archives.

Pedro Saleiro, Jorge Teixeira, Carlos Soares, Eugénio C. Oliveira

Proceedings of the Advances in Information Retrieval, 2016

Sentiment Aggregate Functions for Political Opinion Polling using Microblog Streams.

Pedro Saleiro, Luís Gomes, Carlos Soares

Proceedings of the Ninth International C* Conference on Computer Science & Software Engineering, 2016

SentiBubbles: Topic Modeling and Sentiment Visualization of Entity-centric Tweets.

João Oliveira, Mike Pinto, Pedro Saleiro, Jorge Teixeira

Proceedings of the Ninth International C* Conference on Computer Science & Software Engineering, 2016

2015

POPmine: Tracking Political Opinion on the Web.

Pedro Saleiro, Silvio Amir, Mário J. Silva, Carlos Soares

Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015

2013

"Piaf" vs "Adele": classifying encyclopedic queries using automatically labeled training data.

Pedro Saleiro, Luís Sarmento

Proceedings of the Open research Areas in Information Retrieval, 2013

POPSTAR at RepLab 2013: Name Ambiguity Resolution on Twitter.

Pedro Saleiro, Luis Rei, Arian Pasquali, Carlos Soares, Jorge Teixeira, Fábio Pinto, Mohammad Nozari Zarmehri, Catarina Félix, Pedro Strecht

Proceedings of the Working Notes for CLEF 2013 Conference , 2013