Pedro Saleiro

Orcid: 0000-0003-2750-1692

According to our database1, Pedro Saleiro authored at least 40 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Cost-Sensitive Learning to Defer to Multiple Experts with Workload Constraints.
CoRR, 2024

DiConStruct: Causal Concept-based Explanations through Black-Box Distillation.
CoRR, 2024

On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
FiFAR: A Fraud Detection Dataset for Learning to Defer.
CoRR, 2023

Fairness-Aware Data Valuation for Supervised Learning.
CoRR, 2023

A Case Study on Designing Evaluations of ML Explanations with Simulated User Studies.
CoRR, 2023

Addressing Bias and Fairness in Machine Learning: A Practical Guide and Hands-on Tutorial.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

FairGBM: Gradient Boosting with Fairness Constraints.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Understanding Unfairness in Fraud Detection through Model and Data Bias Interactions.
CoRR, 2022

Human-AI Collaboration in Decision-Making: Beyond Learning to Defer.
CoRR, 2022

Prisoners of Their Own Devices: How Models Induce Data Bias in Performative Prediction.
CoRR, 2022

ConceptDistil: Model-Agnostic Distillation of Concept Explanations.
CoRR, 2022

Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation.
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.
Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

2021
Weakly Supervised Multi-task Learning for Concept-based Explainability.
CoRR, 2021

TimeSHAP: Explaining Recurrent Models through Sequence Perturbations.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Promoting Fairness through Hyperparameter Optimization.
Proceedings of the IEEE International Conference on Data Mining, 2021

How can I choose an explainer?: An Application-grounded Evaluation of Post-hoc Explanations.
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

2020
Teaching the Machine to Explain Itself using Domain Knowledge.
CoRR, 2020

A Bandit-Based Algorithm for Fairness-Aware Hyperparameter Optimization.
CoRR, 2020

Dealing with Bias and Fairness in Data Science Systems: A Practical Hands-on Tutorial.
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.
CoRR, 2018

Entity-Relationship Search over the Web.
CoRR, 2018

Entity Retrieval and Text Mining for Online Reputation Monitoring.
CoRR, 2018

Social Media Brand Engagement as a Proxy for E-Commerce Activities: A Case Study of Sina Weibo and JD.
Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

2017
TexRep: A Text Mining Framework for Online Reputation Monitoring.
New Gener. Comput., 2017

Characterizing Geo-located Tweets in Brazilian Megacities.
CoRR, 2017

Early Fusion Strategy for Entity-Relationship Retrieval.
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.
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.
Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

Learning Word Embeddings from the Portuguese Twitter Stream: A Study of Some Practical Aspects.
Proceedings of the Progress in Artificial Intelligence, 2017

Transportation in Social Media: An Automatic Classifier for Travel-Related Tweets.
Proceedings of the Progress in Artificial Intelligence, 2017

2016
Mining social media for open innovation in transportation systems.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Learning from the News: Predicting Entity Popularity on Twitter.
Proceedings of the Advances in Intelligent Data Analysis XV - 15th International Symposium, 2016

TimeMachine: Entity-Centric Search and Visualization of News Archives.
Proceedings of the Advances in Information Retrieval, 2016

Sentiment Aggregate Functions for Political Opinion Polling using Microblog Streams.
Proceedings of the Ninth International C* Conference on Computer Science & Software Engineering, 2016

SentiBubbles: Topic Modeling and Sentiment Visualization of Entity-centric Tweets.
Proceedings of the Ninth International C* Conference on Computer Science & Software Engineering, 2016

2015
POPmine: Tracking Political Opinion on the Web.
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.
Proceedings of the Open research Areas in Information Retrieval, 2013

POPSTAR at RepLab 2013: Name Ambiguity Resolution on Twitter.
Proceedings of the Working Notes for CLEF 2013 Conference , 2013


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