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2020 – today
- 2024
[j2]Jean V. Alves, Diogo Leitão, Sérgio M. Jesus, Marco O. P. Sampaio, Javier Liébana, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro:
Cost-Sensitive Learning to Defer to Multiple Experts with Workload Constraints. Trans. Mach. Learn. Res. 2024 (2024)- [c25]Kasun Amarasinghe, Kit T. Rodolfa
, Sérgio M. Jesus, Valerie Chen, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro, Ameet Talwalkar, Rayid Ghani:
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods. AAAI 2024: 20921-20929 - [c24]Ricardo Miguel de Oliveira Moreira, Jacopo Bono, Mário Cardoso, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro:
DiConStruct: Causal Concept-based Explanations through Black-Box Distillation. CLeaR 2024: 740-768 - [c23]Inês Oliveira e Silva, Sérgio M. Jesus, Hugo M. Ferreira, Pedro Saleiro, Inês Sousa, Pedro Bizarro, Carlos Soares:
Fair-OBNC: Correcting Label Noise for Fairer Datasets. ECAI 2024: 1003-1010 - [i38]Ricardo Moreira, Jacopo Bono, Mário Cardoso, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro:
DiConStruct: Causal Concept-based Explanations through Black-Box Distillation. CoRR abs/2401.08534 (2024) - [i37]Jean V. Alves, Diogo Leitão, Sérgio M. Jesus, Marco O. P. Sampaio, Javier Liébana, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro:
Cost-Sensitive Learning to Defer to Multiple Experts with Workload Constraints. CoRR abs/2403.06906 (2024) - [i36]Sérgio M. Jesus, Pedro Saleiro, Inês Oliveira e Silva, Beatriz M. Jorge, Rita P. Ribeiro, João Gama, Pedro Bizarro, Rayid Ghani:
Aequitas Flow: Streamlining Fair ML Experimentation. CoRR abs/2405.05809 (2024) - [i35]Inês Oliveira e Silva, Sérgio M. Jesus, Hugo M. Ferreira, Pedro Saleiro, Inês Sousa, Pedro Bizarro, Carlos Soares:
Fair-OBNC: Correcting Label Noise for Fairer Datasets. CoRR abs/2410.06214 (2024) - 2023
- [c22]André Ferreira Cruz, Catarina G. Belém, João Bravo, Pedro Saleiro, Pedro Bizarro:
FairGBM: Gradient Boosting with Fairness Constraints. ICLR 2023 - [c21]Rayid Ghani, Kit T. Rodolfa, Pedro Saleiro, Sérgio M. Jesus:
Addressing Bias and Fairness in Machine Learning: A Practical Guide and Hands-on Tutorial. KDD 2023: 5779-5780 - [i34]Ada Martin, Valerie Chen, Sérgio M. Jesus, Pedro Saleiro:
A Case Study on Designing Evaluations of ML Explanations with Simulated User Studies. CoRR abs/2302.07444 (2023) - [i33]José Pombal, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro:
Fairness-Aware Data Valuation for Supervised Learning. CoRR abs/2303.16963 (2023) - [i32]Jean V. Alves, Diogo Leitão, Sérgio M. Jesus, Marco O. P. Sampaio, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro:
FiFAR: A Fraud Detection Dataset for Learning to Defer. CoRR abs/2312.13218 (2023) - 2022
- [c20]Mário Cardoso, Pedro Saleiro, Pedro Bizarro:
LaundroGraph: Self-Supervised Graph Representation Learning for Anti-Money Laundering. ICAIF 2022: 130-138 - [c19]Sérgio M. Jesus, José Pombal, Duarte M. Alves, André Ferreira Cruz, Pedro Saleiro, Rita P. Ribeiro, João Gama, Pedro Bizarro:
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation. NeurIPS 2022 - [i31]João Bento Sousa, Ricardo Moreira, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro:
ConceptDistil: Model-Agnostic Distillation of Concept Explanations. CoRR abs/2205.03601 (2022) - [i30]José Pombal, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro:
Prisoners of Their Own Devices: How Models Induce Data Bias in Performative Prediction. CoRR abs/2206.13183 (2022) - [i29]Diogo Leitão, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro:
Human-AI Collaboration in Decision-Making: Beyond Learning to Defer. CoRR abs/2206.13202 (2022) - [i28]Kasun Amarasinghe, Kit T. Rodolfa, Sérgio M. Jesus, Valerie Chen, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro, Ameet Talwalkar, Rayid Ghani:
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods. CoRR abs/2206.13503 (2022) - [i27]José Pombal, André Ferreira Cruz, João Bravo, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro:
Understanding Unfairness in Fraud Detection through Model and Data Bias Interactions. CoRR abs/2207.06273 (2022) - [i26]André Ferreira Cruz, Catarina G. Belém, João Bravo, Pedro Saleiro, Pedro Bizarro:
FairGBM: Gradient Boosting with Fairness Constraints. CoRR abs/2209.07850 (2022) - [i25]Mário Cardoso, Pedro Saleiro, Pedro Bizarro:
LaundroGraph: Self-Supervised Graph Representation Learning for Anti-Money Laundering. CoRR abs/2210.14360 (2022) - [i24]Sérgio M. Jesus, José Pombal, Duarte M. Alves, André Ferreira Cruz, Pedro Saleiro, Rita P. Ribeiro, João Gama, Pedro Bizarro:
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation. CoRR abs/2211.13358 (2022) - 2021
- [c18]Sérgio M. Jesus, Catarina G. Belém, Vladimir Balayan, João Bento, Pedro Saleiro, Pedro Bizarro, João Gama:
How can I choose an explainer?: An Application-grounded Evaluation of Post-hoc Explanations. FAccT 2021: 805-815 - [c17]André Ferreira Cruz, Pedro Saleiro, Catarina G. Belém, Carlos Soares, Pedro Bizarro:
Promoting Fairness through Hyperparameter Optimization. ICDM 2021: 1036-1041 - [c16]João Bento, Pedro Saleiro, André Ferreira Cruz, Mário A. T. Figueiredo, Pedro Bizarro:
TimeSHAP: Explaining Recurrent Models through Sequence Perturbations. KDD 2021: 2565-2573 - [i23]Sérgio M. Jesus, Catarina G. Belém, Vladimir Balayan, João Bento, Pedro Saleiro, Pedro Bizarro, João Gama:
How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations. CoRR abs/2101.08758 (2021) - [i22]André Ferreira Cruz, Pedro Saleiro, Catarina G. Belém, Carlos Soares, Pedro Bizarro:
Promoting Fairness through Hyperparameter Optimization. CoRR abs/2103.12715 (2021) - [i21]Catarina G. Belém, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro:
Weakly Supervised Multi-task Learning for Concept-based Explainability. CoRR abs/2104.12459 (2021) - 2020
- [c15]Pedro Saleiro, Kit T. Rodolfa, Rayid Ghani:
Dealing with Bias and Fairness in Data Science Systems: A Practical Hands-on Tutorial. KDD 2020: 3513-3514 - [i20]André Ferreira Cruz, Pedro Saleiro, Catarina G. Belém, Carlos Soares, Pedro Bizarro:
A Bandit-Based Algorithm for Fairness-Aware Hyperparameter Optimization. CoRR abs/2010.03665 (2020) - [i19]João Bento, Pedro Saleiro, André Ferreira Cruz, Mário A. T. Figueiredo, Pedro Bizarro:
TimeSHAP: Explaining Recurrent Models through Sequence Perturbations. CoRR abs/2012.00073 (2020) - [i18]Vladimir Balayan, Pedro Saleiro, Catarina G. Belém, Ludwig Krippahl, Pedro Bizarro:
Teaching the Machine to Explain Itself using Domain Knowledge. CoRR abs/2012.01932 (2020)
2010 – 2019
- 2018
- [c14]Weiqiang Lin, Pedro Saleiro, Natasa Milic-Frayling, Eugene Ch'ng:
Social Media Brand Engagement as a Proxy for E-Commerce Activities: A Case Study of Sina Weibo and JD. WI 2018: 375-382 - [i17]Pedro Saleiro:
Entity Retrieval and Text Mining for Online Reputation Monitoring. CoRR abs/1801.07743 (2018) - [i16]Pedro Saleiro, Natasa Milic-Frayling, Eduarda Mendes Rodrigues, Carlos Soares:
Entity-Relationship Search over the Web. CoRR abs/1810.03235 (2018) - [i15]Weiqiang Lin, Pedro Saleiro, Natasa Milic-Frayling, Eugene Ch'ng:
Social Media Brand Engagement as a Proxy for E-commerce Activities: A Case Study of Sina Weibo and JD. CoRR abs/1810.05944 (2018) - [i14]Pedro Saleiro, Benedict Kuester, Abby Stevens, Ari Anisfeld, Loren Hinkson, Jesse London, Rayid Ghani:
Aequitas: A Bias and Fairness Audit Toolkit. CoRR abs/1811.05577 (2018) - 2017
- [j1]Pedro Saleiro, Eduarda Mendes Rodrigues, Carlos Soares, Eugénio Oliveira:
TexRep: A Text Mining Framework for Online Reputation Monitoring. New Gener. Comput. 35(4): 365-389 (2017) - [c13]João Pereira, Arian Pasquali, Pedro Saleiro, Rosaldo Rossetti:
Transportation in Social Media: An Automatic Classifier for Travel-Related Tweets. EPIA 2017: 355-366 - [c12]Pedro Saleiro, Luís Sarmento, Eduarda Mendes Rodrigues, Carlos Soares, Eugénio C. Oliveira:
Learning Word Embeddings from the Portuguese Twitter Stream: A Study of Some Practical Aspects. EPIA 2017: 880-891 - [c11]Pedro Saleiro, Eduarda Mendes Rodrigues, Carlos Soares, Eugénio C. Oliveira:
FEUP at SemEval-2017 Task 5: Predicting Sentiment Polarity and Intensity with Financial Word Embeddings. SemEval@ACL 2017: 904-908 - [c10]Pedro Saleiro, Natasa Milic-Frayling, Eduarda Mendes Rodrigues, Carlos Soares:
Early Fusion Strategy for Entity-Relationship Retrieval. KG4IR@SIGIR 2017: 49-54 - [c9]Pedro Saleiro, Natasa Milic-Frayling, Eduarda Mendes Rodrigues, Carlos Soares:
RELink: A Research Framework and Test Collection for Entity-Relationship Retrieval. SIGIR 2017: 1273-1276 - [i13]Pedro Saleiro, Eduarda Mendes Rodrigues, Carlos Soares, Eugénio C. Oliveira:
FEUP at SemEval-2017 Task 5: Predicting Sentiment Polarity and Intensity with Financial Word Embeddings. CoRR abs/1704.05091 (2017) - [i12]Pedro Saleiro, Natasa Milic-Frayling, Eduarda Mendes Rodrigues, Carlos Soares:
RELink: A Research Framework and Test Collection for Entity-Relationship Retrieval. CoRR abs/1706.03960 (2017) - [i11]João Pereira, Arian Pasquali, Pedro Saleiro, Rosaldo J. F. Rossetti:
Transportation in Social Media: an automatic classifier for travel-related tweets. CoRR abs/1706.05090 (2017) - [i10]Pedro Saleiro, Natasa Milic-Frayling, Eduarda Mendes Rodrigues, Carlos Soares:
Early Fusion Strategy for Entity-Relationship Retrieval. CoRR abs/1707.09075 (2017) - [i9]Pedro Saleiro, Luís Sarmento, Eduarda Mendes Rodrigues, Carlos Soares, Eugénio C. Oliveira:
Learning Word Embeddings from the Portuguese Twitter Stream: A Study of some Practical Aspects. CoRR abs/1709.00947 (2017) - [i8]João Pereira, Arian Pasquali, Pedro Saleiro, Rosaldo Rossetti, Nélio Cacho:
Characterizing Geo-located Tweets in Brazilian Megacities. CoRR abs/1709.01981 (2017) - 2016
- [c8]Pedro Saleiro, Luís Gomes, Carlos Soares:
Sentiment Aggregate Functions for Political Opinion Polling using Microblog Streams. C3S2E 2016: 44-50 - [c7]João Oliveira, Mike Pinto, Pedro Saleiro, Jorge Teixeira:
SentiBubbles: Topic Modeling and Sentiment Visualization of Entity-centric Tweets. C3S2E 2016: 123-124 - [c6]Pedro Saleiro, Jorge Teixeira, Carlos Soares, Eugénio C. Oliveira:
TimeMachine: Entity-Centric Search and Visualization of News Archives. ECIR 2016: 845-848 - [c5]Pedro Saleiro, Carlos Soares:
Learning from the News: Predicting Entity Popularity on Twitter. IDA 2016: 171-182 - [c4]Daniela Ulloa, Pedro Saleiro, Rosaldo J. F. Rossetti, Elis Regina Silva:
Mining social media for open innovation in transportation systems. ITSC 2016: 169-174 - [i7]Pedro Saleiro, Jorge Teixeira, Carlos Soares, Eugénio C. Oliveira:
TimeMachine: Entity-centric Search and Visualization of News Archives. CoRR abs/1601.00855 (2016) - [i6]Pedro Saleiro, Luís Gomes, Carlos Soares:
Sentiment Aggregate Functions for Political Opinion Polling using Microblog Streams. CoRR abs/1606.05242 (2016) - [i5]João Oliveira, Mike Pinto, Pedro Saleiro, Jorge Teixeira:
SentiBubbles: Topic Modeling and Sentiment Visualization of Entity-centric Tweets. CoRR abs/1607.00167 (2016) - [i4]Pedro Saleiro, Carlos Soares:
Learning from the News: Predicting Entity Popularity on Twitter. CoRR abs/1607.03057 (2016) - [i3]Daniela Ulloa, Pedro Saleiro, Rosaldo J. F. Rossetti, Elis Regina Silva:
Mining Social Media for Open Innovation in Transportation Systems. CoRR abs/1610.09894 (2016) - 2015
- [c3]Pedro Saleiro, Silvio Amir, Mário J. Silva, Carlos Soares:
POPmine: Tracking Political Opinion on the Web. CIT/IUCC/DASC/PICom 2015: 1521-1526 - [i2]Pedro Saleiro, Silvio Amir, Mário J. Silva, Carlos Soares:
POPmine: Tracking Political Opinion on the Web. CoRR abs/1511.09101 (2015) - [i1]Pedro Saleiro, Luís Sarmento:
"Piaf" vs "Adele": classifying encyclopedic queries using automatically labeled training data. CoRR abs/1511.09290 (2015) - 2013
- [c2]Pedro Saleiro, Luis Rei, Arian Pasquali, Carlos Soares, Jorge Teixeira, Fábio Pinto, Mohammad Nozari Zarmehri, Catarina Félix, Pedro Strecht:
POPSTAR at RepLab 2013: Name Ambiguity Resolution on Twitter. CLEF (Working Notes) 2013 - [c1]Pedro Saleiro, Luís Sarmento:
"Piaf" vs "Adele": classifying encyclopedic queries using automatically labeled training data. OAIR 2013: 101-108
Coauthor Index
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