Pedro Saleiro

68 papers A* 8A 2B 2Misc 2Journal 43Unranked 11
YearRankTypeTitle / Venue / Authors
2024 J jnl
Aequitas Flow: Streamlining Fair ML Experimentation.
CoRR
Sérgio M. Jesus, Pedro Saleiro, Inês Oliveira e Silva, Beatriz M. Jorge, Rita P. Ribeiro, João Gama, Pedro Bizarro, Rayid Ghani
2024 J jnl
Aequitas Flow: Streamlining Fair ML Experimentation.
J. Mach. Learn. Res.
Sérgio M. Jesus, Pedro Saleiro, Inês Oliveira e Silva, Beatriz M. Jorge, Rita P. Ribeiro, João Gama, Pedro Bizarro, Rayid Ghani
2024 J jnl
Cost-Sensitive Learning to Defer to Multiple Experts with Workload Constraints.
CoRR
Jean V. Alves, Diogo Leitão, Sérgio M. Jesus, Marco O. P. Sampaio, Javier Liébana, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro
2024 J jnl
Cost-Sensitive Learning to Defer to Multiple Experts with Workload Constraints.
Trans. Mach. Learn. Res.
Jean V. Alves, Diogo Leitão, Sérgio M. Jesus, Marco O. P. Sampaio, Javier Liébana, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro
2024 — conf
DiConStruct: Causal Concept-based Explanations through Black-Box Distillation.
CLeaR
Ricardo Miguel de Oliveira Moreira, Jacopo Bono, Mário Cardoso, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro
2024 J jnl
DiConStruct: Causal Concept-based Explanations through Black-Box Distillation.
CoRR
Ricardo Miguel de Oliveira Moreira, Jacopo Bono, Mário Cardoso, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro
2024 A conf
Fair-OBNC: Correcting Label Noise for Fairer Datasets.
ECAI
Inês Oliveira e Silva, Sérgio M. Jesus, Hugo M. Ferreira, Pedro Saleiro, Inês Sousa, Pedro Bizarro, Carlos Soares
2024 J jnl
Fair-OBNC: Correcting Label Noise for Fairer Datasets.
CoRR
Inês Oliveira e Silva, Sérgio M. Jesus, Hugo M. Ferreira, Pedro Saleiro, Inês Sousa, Pedro Bizarro, Carlos Soares
2024 J jnl
Mind the truncation gap: challenges of learning on dynamic graphs with recurrent architectures.
CoRR
João Bravo, Jacopo Bono, Pedro Saleiro, Hugo M. Ferreira, Pedro Bizarro
2024 J jnl
Mind the truncation gap: challenges of learning on dynamic graphs with recurrent architectures.
Trans. Mach. Learn. Res.
João Bravo, Jacopo Bono, Hugo Ferreira, Pedro Saleiro, Pedro Bizarro
2024 A* conf
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods.
AAAI
Kasun Amarasinghe, Kit T. Rodolfa, Sérgio M. Jesus, Valerie Chen, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro, Ameet Talwalkar, Rayid Ghani
2023 J jnl
A Case Study on Designing Evaluations of ML Explanations with Simulated User Studies.
CoRR
Ada Martin, Valerie Chen, Sérgio M. Jesus, Pedro Saleiro
2023 A* conf
Addressing Bias and Fairness in Machine Learning: A Practical Guide and Hands-on Tutorial.
KDD
Rayid Ghani, Kit T. Rodolfa, Pedro Saleiro, Sérgio M. Jesus
2023 A* conf
FairGBM: Gradient Boosting with Fairness Constraints.
ICLR
André Ferreira Cruz, Catarina G. Belém, João Bravo, Pedro Saleiro, Pedro Bizarro
2023 J jnl
Fairness-Aware Data Valuation for Supervised Learning.
CoRR
José Pombal, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro
2023 J jnl
FiFAR: A Fraud Detection Dataset for Learning to Defer.
CoRR
Jean V. Alves, Diogo Leitão, Sérgio M. Jesus, Marco O. P. Sampaio, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro
2022 J jnl
ConceptDistil: Model-Agnostic Distillation of Concept Explanations.
CoRR
João Bento Sousa, Ricardo Moreira, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro
2022 J jnl
FairGBM: Gradient Boosting with Fairness Constraints.
CoRR
André Ferreira Cruz, Catarina G. Belém, João Bravo, Pedro Saleiro, Pedro Bizarro
2022 J jnl
Human-AI Collaboration in Decision-Making: Beyond Learning to Defer.
CoRR
Diogo Leitão, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro
2022 — conf
LaundroGraph: Self-Supervised Graph Representation Learning for Anti-Money Laundering.
ICAIF
Mário Cardoso, Pedro Saleiro, Pedro Bizarro
2022 J jnl
LaundroGraph: Self-Supervised Graph Representation Learning for Anti-Money Laundering.
CoRR
Mário Cardoso, Pedro Saleiro, Pedro Bizarro
2022 J jnl
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods.
CoRR
Kasun Amarasinghe, Kit T. Rodolfa, Sérgio M. Jesus, Valerie Chen, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro, Ameet Talwalkar, Rayid Ghani
2022 J jnl
Prisoners of Their Own Devices: How Models Induce Data Bias in Performative Prediction.
CoRR
José Pombal, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro
2022 A* conf
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation.
NeurIPS
Sérgio M. Jesus, José Pombal, Duarte M. Alves, André Ferreira Cruz, Pedro Saleiro, Rita P. Ribeiro, João Gama, Pedro Bizarro
2022 J jnl
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation.
CoRR
Sérgio M. Jesus, José Pombal, Duarte M. Alves, André Ferreira Cruz, Pedro Saleiro, Rita P. Ribeiro, João Gama, Pedro Bizarro
2022 J jnl
Understanding Unfairness in Fraud Detection through Model and Data Bias Interactions.
CoRR
José Pombal, André Ferreira Cruz, João Bravo, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro
2021 J jnl
How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations.
CoRR
Sérgio M. Jesus, Catarina G. Belém, Vladimir Balayan, João Bento, Pedro Saleiro, Pedro Bizarro, João Gama
2021 — conf
How can I choose an explainer?: An Application-grounded Evaluation of Post-hoc Explanations.
FAccT
Sérgio M. Jesus, Catarina G. Belém, Vladimir Balayan, João Bento, Pedro Saleiro, Pedro Bizarro, João Gama
2021 A* conf
Promoting Fairness through Hyperparameter Optimization.
ICDM
André Ferreira Cruz, Pedro Saleiro, Catarina G. Belém, Carlos Soares, Pedro Bizarro
2021 J jnl
Promoting Fairness through Hyperparameter Optimization.
CoRR
André Ferreira Cruz, Pedro Saleiro, Catarina G. Belém, Carlos Soares, Pedro Bizarro
2021 A* conf
TimeSHAP: Explaining Recurrent Models through Sequence Perturbations.
KDD
João Bento, Pedro Saleiro, André Ferreira Cruz, Mário A. T. Figueiredo, Pedro Bizarro
2021 J jnl
Weakly Supervised Multi-task Learning for Concept-based Explainability.
CoRR
Catarina G. Belém, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro
2020 J jnl
A Bandit-Based Algorithm for Fairness-Aware Hyperparameter Optimization.
CoRR
André Ferreira Cruz, Pedro Saleiro, Catarina G. Belém, Carlos Soares, Pedro Bizarro
2020 A* conf
Dealing with Bias and Fairness in Data Science Systems: A Practical Hands-on Tutorial.
KDD
Pedro Saleiro, Kit T. Rodolfa, Rayid Ghani
2020 J jnl
Teaching the Machine to Explain Itself using Domain Knowledge.
CoRR
Vladimir Balayan, Pedro Saleiro, Catarina G. Belém, Ludwig Krippahl, Pedro Bizarro
2020 J jnl
TimeSHAP: Explaining Recurrent Models through Sequence Perturbations.
CoRR
João Bento, Pedro Saleiro, André Ferreira Cruz, Mário A. T. Figueiredo, Pedro Bizarro
2018 J jnl
Aequitas: A Bias and Fairness Audit Toolkit.
CoRR
Pedro Saleiro, Benedict Kuester, Abby Stevens, Ari Anisfeld, Loren Hinkson, Jesse London, Rayid Ghani
2018 J jnl
Entity Retrieval and Text Mining for Online Reputation Monitoring.
CoRR
Pedro Saleiro
2018 J jnl
Entity-Relationship Search over the Web.
CoRR
Pedro Saleiro, Natasa Milic-Frayling, Eduarda Mendes Rodrigues, Carlos Soares
2018 B conf
Social Media Brand Engagement as a Proxy for E-Commerce Activities: A Case Study of Sina Weibo and JD.
WI
Weiqiang Lin, Pedro Saleiro, Natasa Milic-Frayling, Eugene Ch'ng
2018 J jnl
Social Media Brand Engagement as a Proxy for E-commerce Activities: A Case Study of Sina Weibo and JD.
CoRR
Weiqiang Lin, Pedro Saleiro, Natasa Milic-Frayling, Eugene Ch'ng
2017 J jnl
Characterizing Geo-located Tweets in Brazilian Megacities.
CoRR
João Pereira, Arian Pasquali, Pedro Saleiro, Rosaldo Rossetti, Nélio Cacho
2017 — conf
Early Fusion Strategy for Entity-Relationship Retrieval.
KG4IR@SIGIR
Pedro Saleiro, Natasa Milic-Frayling, Eduarda Mendes Rodrigues, Carlos Soares
2017 J jnl
Early Fusion Strategy for Entity-Relationship Retrieval.
CoRR
Pedro Saleiro, Natasa Milic-Frayling, Eduarda Mendes Rodrigues, Carlos Soares
2017 — conf
FEUP at SemEval-2017 Task 5: Predicting Sentiment Polarity and Intensity with Financial Word Embeddings.
SemEval@ACL
Pedro Saleiro, Eduarda Mendes Rodrigues, Carlos Soares, Eugénio C. Oliveira
2017 J jnl
FEUP at SemEval-2017 Task 5: Predicting Sentiment Polarity and Intensity with Financial Word Embeddings.
CoRR
Pedro Saleiro, Eduarda Mendes Rodrigues, Carlos Soares, Eugénio C. Oliveira
2017 Misc conf
Learning Word Embeddings from the Portuguese Twitter Stream: A Study of Some Practical Aspects.
EPIA
Pedro Saleiro, Luís Sarmento, Eduarda Mendes Rodrigues, Carlos Soares, Eugénio C. Oliveira
2017 J jnl
Learning Word Embeddings from the Portuguese Twitter Stream: A Study of some Practical Aspects.
CoRR
Pedro Saleiro, Luís Sarmento, Eduarda Mendes Rodrigues, Carlos Soares, Eugénio C. Oliveira
2017 A* conf
RELink: A Research Framework and Test Collection for Entity-Relationship Retrieval.
SIGIR
Pedro Saleiro, Natasa Milic-Frayling, Eduarda Mendes Rodrigues, Carlos Soares
2017 J jnl
RELink: A Research Framework and Test Collection for Entity-Relationship Retrieval.
CoRR
Pedro Saleiro, Natasa Milic-Frayling, Eduarda Mendes Rodrigues, Carlos Soares
2017 J jnl
TexRep: A Text Mining Framework for Online Reputation Monitoring.
New Gener. Comput.
Pedro Saleiro, Eduarda Mendes Rodrigues, Carlos Soares, Eugénio Oliveira
2017 Misc conf
Transportation in Social Media: An Automatic Classifier for Travel-Related Tweets.
EPIA
João Pereira, Arian Pasquali, Pedro Saleiro, Rosaldo Rossetti
2017 J jnl
Transportation in Social Media: an automatic classifier for travel-related tweets.
CoRR
João Pereira, Arian Pasquali, Pedro Saleiro, Rosaldo J. F. Rossetti
2016 B conf
Learning from the News: Predicting Entity Popularity on Twitter.
IDA
Pedro Saleiro, Carlos Soares
2016 J jnl
Learning from the News: Predicting Entity Popularity on Twitter.
CoRR
Pedro Saleiro, Carlos Soares
2016 J jnl
Mining Social Media for Open Innovation in Transportation Systems.
CoRR
Daniela Ulloa, Pedro Saleiro, Rosaldo J. F. Rossetti, Elis Regina Silva
2016 — conf
Mining social media for open innovation in transportation systems.
ITSC
Daniela Ulloa, Pedro Saleiro, Rosaldo J. F. Rossetti, Elis Regina Silva
2016 — conf
SentiBubbles: Topic Modeling and Sentiment Visualization of Entity-centric Tweets.
C3S2E
João Oliveira, Mike Pinto, Pedro Saleiro, Jorge Teixeira
2016 J jnl
SentiBubbles: Topic Modeling and Sentiment Visualization of Entity-centric Tweets.
CoRR
João Oliveira, Mike Pinto, Pedro Saleiro, Jorge Teixeira
2016 — conf
Sentiment Aggregate Functions for Political Opinion Polling using Microblog Streams.
C3S2E
Pedro Saleiro, Luís Gomes, Carlos Soares
2016 J jnl
Sentiment Aggregate Functions for Political Opinion Polling using Microblog Streams.
CoRR
Pedro Saleiro, Luís Gomes, Carlos Soares
2016 A conf
TimeMachine: Entity-Centric Search and Visualization of News Archives.
ECIR
Pedro Saleiro, Jorge Teixeira, Carlos Soares, Eugénio C. Oliveira
2016 J jnl
TimeMachine: Entity-centric Search and Visualization of News Archives.
CoRR
Pedro Saleiro, Jorge Teixeira, Carlos Soares, Eugénio C. Oliveira
2015 J jnl
"Piaf" vs "Adele": classifying encyclopedic queries using automatically labeled training data.
CoRR
Pedro Saleiro, Luís Sarmento
2015 — conf
POPmine: Tracking Political Opinion on the Web.
CIT/IUCC/DASC/PICom
Pedro Saleiro, Silvio Amir, Mário J. Silva, Carlos Soares
2015 J jnl
POPmine: Tracking Political Opinion on the Web.
CoRR
Pedro Saleiro, Silvio Amir, Mário J. Silva, Carlos Soares
2013 — conf
"Piaf" vs "Adele": classifying encyclopedic queries using automatically labeled training data.
OAIR
Pedro Saleiro, Luís Sarmento
2013 — conf
POPSTAR at RepLab 2013: Name Ambiguity Resolution on Twitter.
CLEF (Working Notes)
Pedro Saleiro, Luis Rei, Arian Pasquali, Carlos Soares, Jorge Teixeira, Fábio Pinto, Mohammad Nozari Zarmehri, Catarina Félix, Pedro Strecht