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ORCIDPedro Bizarro
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- affiliation: Feedzai
- affiliation (former): University of Coimbra, Portugal
- affiliation (former): University of Wisconsin-Madison, Madison, USA
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2020 – today
- 2024
[j6]Diogo Duarte, Rita Costa, Pedro Bizarro, Carlos Duarte:
AutoVizuA11y: A Tool to Automate Screen Reader Accessibility in Charts. Comput. Graph. Forum 43(3) (2024)- [j5]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) - [c40]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 - [c39]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 - [c38]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 - [c37]Pedro Bizarro:
Lessons Learned while Running ML Models in Harsh Environments. KDD 2024: 4734 - [c36]Lucas Martins, João Bravo, Ana Sofia Gomes, Carlos Soares, Pedro Bizarro:
RIFF: Inducing Rules for Fraud Detection from Decision Trees. RuleML+RR 2024: 50-58 - [i41]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) - [i40]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) - [i39]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) - [i38]Ahmad Naser Eddin, Jacopo Bono, David Aparício, Hugo Ferreira, Pedro Ribeiro, Pedro Bizarro:
Deep-Graph-Sprints: Accelerated Representation Learning in Continuous-Time Dynamic Graphs. CoRR abs/2407.07712 (2024) - [i37]João Lucas Martins, João Bravo, Ana Sofia Gomes, Carlos Soares, Pedro Bizarro:
RIFF: Inducing Rules for Fraud Detection from Decision Trees. CoRR abs/2408.12989 (2024) - [i36]Beatriz Feliciano, Rita Costa, Jean V. Alves, Javier Liébana, Diogo Duarte, Pedro Bizarro:
"Show Me What's Wrong!": Combining Charts and Text to Guide Data Analysis. CoRR abs/2410.00727 (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
- [c35]Ricardo Ribeiro Pereira, Jacopo Bono, João Tiago Ascensão, David Aparício, Pedro Ribeiro, Pedro Bizarro:
The GANfather: Controllable generation of malicious activity to improve defence systems. ICAIF 2023: 133-140 - [c34]Jacopo Bono, Ahmad Naser Eddin, David Aparício, Hugo Ferreira, João Tiago Ascensão, Pedro Ribeiro, Pedro Bizarro:
From random-walks to graph-sprints: a low-latency node embedding framework on continuous-time dynamic graphs. ICAIF 2023: 176-184 - [c33]André Ferreira Cruz, Catarina G. Belém, João Bravo, Pedro Saleiro, Pedro Bizarro:
FairGBM: Gradient Boosting with Fairness Constraints. ICLR 2023 - [i34]José Pombal, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro:
Fairness-Aware Data Valuation for Supervised Learning. CoRR abs/2303.16963 (2023) - [i33]Ahmad Naser Eddin, Jacopo Bono, David Aparício, Hugo Ferreira, João Tiago Ascensão, Pedro Ribeiro, Pedro Bizarro:
From random-walks to graph-sprints: a low-latency node embedding framework on continuous-time dynamic graphs. CoRR abs/2307.08433 (2023) - [i32]Ricardo Ribeiro Pereira, Jacopo Bono, João Tiago Ascensão, David Aparício, Pedro Ribeiro, Pedro Bizarro:
The GANfather: Controllable generation of malicious activity to improve defence systems. CoRR abs/2307.13787 (2023) - [i31]Tiago Leon Melo, João Bravo, Marco O. P. Sampaio, Paolo Romano, Hugo Ferreira, João Tiago Ascensão, Pedro Bizarro:
Adversarial training for tabular data with attack propagation. CoRR abs/2307.15677 (2023) - [i30]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
- [c32]Mário Cardoso, Pedro Saleiro, Pedro Bizarro:
LaundroGraph: Self-Supervised Graph Representation Learning for Anti-Money Laundering. ICAIF 2022: 130-138 - [c31]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 - [c30]João Palmeiro, Beatriz Malveiro, Rita Costa, David Polido, Ricardo Moreira, Pedro Bizarro:
Data+Shift: Supporting Visual Investigation of Data Distribution Shifts by Data Scientists. EuroVis (Short Papers) 2022: 79-83 - [c29]Rita Costa, Beatriz Malveiro, João Palmeiro, Pedro Bizarro:
A Case Study on Implementing Screen Reader Accessibility in Dynamic Visualizations. EuroVis (Posters) 2022: 115-117 - [i29]João Palmeiro, Beatriz Malveiro, Rita Costa, David Polido, Ricardo Moreira, Pedro Bizarro:
Data+Shift: Supporting visual investigation of data distribution shifts by data scientists. CoRR abs/2204.14025 (2022) - [i28]João Bento Sousa, Ricardo Moreira, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro:
ConceptDistil: Model-Agnostic Distillation of Concept Explanations. CoRR abs/2205.03601 (2022) - [i27]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) - [i26]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) - [i25]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) - [i24]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) - [i23]João Conde, Ricardo Moreira, João Torres, Pedro Cardoso, Hugo R. C. Ferreira, Marco O. P. Sampaio, João Tiago Ascensão, Pedro Bizarro:
Lightweight Automated Feature Monitoring for Data Streams. CoRR abs/2207.08640 (2022) - [i22]André Ferreira Cruz, Catarina G. Belém, João Bravo, Pedro Saleiro, Pedro Bizarro:
FairGBM: Gradient Boosting with Fairness Constraints. CoRR abs/2209.07850 (2022) - [i21]Mário Cardoso, Pedro Saleiro, Pedro Bizarro:
LaundroGraph: Self-Supervised Graph Representation Learning for Anti-Money Laundering. CoRR abs/2210.14360 (2022) - [i20]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
- [j4]Ana Sofia Gomes, João Oliveirinha, Pedro Cardoso, Pedro Bizarro:
Railgun: managing large streaming windows under MAD requirements. Proc. VLDB Endow. 14(12): 3069-3082 (2021) - [c28]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 - [c27]Ricardo Barata, Miguel Leite, Ricardo Pacheco, Marco O. P. Sampaio, João Tiago Ascensão, Pedro Bizarro:
Active learning for imbalanced data under cold start. ICAIF 2021: 17:1-17:9 - [c26]André Ferreira Cruz, Pedro Saleiro, Catarina G. Belém, Carlos Soares, Pedro Bizarro:
Promoting Fairness through Hyperparameter Optimization. ICDM 2021: 1036-1041 - [c25]João Bento, Pedro Saleiro, André Ferreira Cruz, Mário A. T. Figueiredo, Pedro Bizarro:
TimeSHAP: Explaining Recurrent Models through Sequence Perturbations. KDD 2021: 2565-2573 - [c24]Xavier Fontes, David Aparício, Maria Inês Silva, Beatriz Malveiro, João Tiago Ascensão, Pedro Bizarro:
Finding NeMo: Fishing in Banking Networks Using Network Motifs. SEA-Data@VLDB 2021: 1-6 - [i19]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) - [i18]Catarina Oliveira, João Torres, Maria Inês Silva, David Aparício, João Tiago Ascensão, Pedro Bizarro:
GuiltyWalker: Distance to illicit nodes in the Bitcoin network. CoRR abs/2102.05373 (2021) - [i17]André Ferreira Cruz, Pedro Saleiro, Catarina G. Belém, Carlos Soares, Pedro Bizarro:
Promoting Fairness through Hyperparameter Optimization. CoRR abs/2103.12715 (2021) - [i16]Catarina G. Belém, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro:
Weakly Supervised Multi-task Learning for Concept-based Explainability. CoRR abs/2104.12459 (2021) - [i15]Ana Sofia Gomes, João Oliveirinha, Pedro Cardoso, Pedro Bizarro:
Railgun: managing large streaming windows under MAD requirements. CoRR abs/2106.12626 (2021) - [i14]Ricardo Barata, Miguel Leite, Ricardo Pacheco, Marco O. P. Sampaio, João Tiago Ascensão, Pedro Bizarro:
Active learning for online training in imbalanced data streams under cold start. CoRR abs/2107.07724 (2021) - [i13]Xavier Fontes, David Aparício, Maria Inês Silva, Beatriz Malveiro, João Tiago Ascensão, Pedro Bizarro:
Finding NeMo: Fishing in banking networks using network motifs. CoRR abs/2108.04494 (2021) - [i12]Maria Inês Silva, David Aparício, Beatriz Malveiro, João Tiago Ascensão, Pedro Bizarro:
GUDIE: a flexible, user-defined method to extract subgraphs of interest from large graphs. CoRR abs/2108.09200 (2021) - [i11]Ahmad Naser Eddin, Jacopo Bono, David Aparício, David Polido, João Tiago Ascensão, Pedro Bizarro, Pedro Ribeiro:
Anti-Money Laundering Alert Optimization Using Machine Learning with Graphs. CoRR abs/2112.07508 (2021) - 2020
- [c23]Joana Lorenz, Maria Inês Silva, David Aparício, João Tiago Ascensão, Pedro Bizarro:
Machine learning methods to detect money laundering in the bitcoin blockchain in the presence of label scarcity. ICAIF 2020: 23:1-23:8 - [c22]Bernardo Branco, Pedro Abreu, Ana Sofia Gomes, Mariana S. C. Almeida, João Tiago Ascensão, Pedro Bizarro:
Interleaved Sequence RNNs for Fraud Detection. KDD 2020: 3101-3109 - [i10]Bernardo Branco, Pedro Abreu, Ana Sofia Gomes, Mariana S. C. Almeida, João Tiago Ascensão, Pedro Bizarro:
Interleaved Sequence RNNs for Fraud Detection. CoRR abs/2002.05988 (2020) - [i9]David Aparício, Ricardo Barata, João Bravo, João Tiago Ascensão, Pedro Bizarro:
ARMS: Automated rules management system for fraud detection. CoRR abs/2002.06075 (2020) - [i8]Joana Lorenz, Maria Inês Silva, David Aparício, João Tiago Ascensão, Pedro Bizarro:
Machine learning methods to detect money laundering in the Bitcoin blockchain in the presence of label scarcity. CoRR abs/2005.14635 (2020) - [i7]João Oliveirinha, Ana Sofia Gomes, Pedro Cardoso, Pedro Bizarro:
Railgun: streaming windows for mission critical systems. CoRR abs/2009.00361 (2020) - [i6]Miguel Araujo, Miguel Almeida, Jaime Ferreira, Luís Moura Silva, Pedro Bizarro:
BreachRadar: Automatic Detection of Points-of-Compromise. CoRR abs/2009.11751 (2020) - [i5]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) - [i4]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) - [i3]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
- 2019
- [i2]Fábio Pinto, Marco O. P. Sampaio, Pedro Bizarro:
Automatic Model Monitoring for Data Streams. CoRR abs/1908.04240 (2019) - 2017
- [c21]Miguel Araujo, Miguel Almeida, Jaime Ferreira, Luís Moura Silva, Pedro Bizarro:
BreachRadar: Automatic Detection of Points-of-Compromise. SDM 2017: 561-569 - 2014
- [j3]Alexander Artikis, Chris Baber, Pedro Bizarro, Carlos Canudas-de-Wit, Opher Etzion, Fabiana Fournier, Paul Goulart, Andrew Howes, John Lygeros, Georgios Paliouras, Assaf Schuster, Izchak Sharfman:
Scalable Proactive Event-Driven Decision Making. IEEE Technol. Soc. Mag. 33(3): 35-41 (2014) - 2013
- [c20]Marcelo R. N. Mendes, Pedro Bizarro, Paulo Marques:
Towards a standard event processing benchmark. ICPE 2013: 307-310 - [c19]Marcelo R. N. Mendes, Pedro Bizarro, Paulo Marques:
Overcoming memory limitations in high-throughput event-based applications. ICPE 2013: 399-410 - [c18]Marcelo R. N. Mendes, Pedro Bizarro, Paulo Marques:
FINCoS: benchmark tools for event processing systems. ICPE 2013: 431-432 - 2011
- [c17]David Alves, Pedro Bizarro, Paulo Marques:
Deadline Queries: Leveraging the Cloud to Produce On-Time Results. IEEE CLOUD 2011: 171-178 - [c16]Diogo Guerra, Ute Gawlick, Pedro Bizarro, Dieter Gawlick:
An Integrated Data Management Approach to Manage Health Care Data. BTW 2011: 596-605 - [c15]Pedro Bizarro, K. Mani Chandy, Nenad Stojanovic:
Event processing grand challenges. DEBS 2011: 361-362 - 2010
- [c14]David Alves, Pedro Bizarro, Paulo Marques:
Flood: elastic streaming MapReduce. DEBS 2010: 113-114 - [c13]Leslie S. Smith, Daniel Metz, Jungpen Bao, Pedro Bizarro:
Events, Neural Systems and Time Series. ServiceWave Workshops 2010: 196-202 - [c12]Marcelo R. N. Mendes, Pedro Bizarro, Paulo Marques:
Assessing and Optimizing Microarchitectural Performance of Event Processing Systems. TPCTC 2010: 216-231 - [c11]Marcelo R. N. Mendes, Pedro Bizarro, Paulo Marques:
Benchmarking event processing systems: current state and future directions. WOSP/SIPEW 2010: 259-260
2000 – 2009
- 2009
- [j2]Pedro Bizarro, Nicolas Bruno, David J. DeWitt:
Progressive Parametric Query Optimization. IEEE Trans. Knowl. Data Eng. 21(4): 582-594 (2009) - [c10]Gil Taran, Mário Zenha Rela, Paulo Marques, Pedro Bizarro:
A Training Process for Faculty Members in Collaborative Degree Programs: Design, Implementation and Feedback. CSEE&T 2009: 122-129 - [c9]Diogo Guerra, Ute Gawlick, Pedro Bizarro:
An integrated data management approach to manage health care data. DEBS 2009 - [c8]Marcelo R. N. Mendes, Pedro Bizarro, Paulo Marques:
A Performance Study of Event Processing Systems. TPCTC 2009: 221-236 - 2008
- [c7]Marcelo R. N. Mendes, Pedro Bizarro, Paulo Marques:
A framework for performance evaluation of complex event processing systems. DEBS 2008: 313-316 - 2007
- [i1]Pedro Bizarro:
BiCEP - Benchmarking Complex Event Processing Systems. Event Processing 2007 - 2005
- [c6]Shivnath Babu, Pedro Bizarro:
Adaptive Query Processing in the Looking Glass. CIDR 2005: 238-249 - [c5]Shivnath Babu, Pedro Bizarro, David J. DeWitt:
Proactive Re-optimization. SIGMOD Conference 2005: 107-118 - [c4]Shivnath Babu, Pedro Bizarro, David J. DeWitt:
Proactive re-optimization with Rio. SIGMOD Conference 2005: 936-938 - [c3]Pedro Bizarro, Shivnath Babu, David J. DeWitt, Jennifer Widom:
Content-Based Routing: Different Plans for Different Data. VLDB 2005: 757-768 - 2002
- [c2]Pedro Bizarro, Henrique Madeira:
Adding a Performance-Oriented Perspective to Data Warehouse Design. DaWaK 2002: 232-244 - 2001
- [c1]Pedro Bizarro, Henrique Madeira:
The Dimension-Join: A New Index for Data Warehouses. SBBD 2001: 259-273
1990 – 1999
- 1998
- [j1]Pedro Bizarro, Luís Moura Silva, João Gabriel Silva:
JWarp: A Java Library for Parallel Discrete-Event Simulations. Concurr. Pract. Exp. 10(11-13): 999-1005 (1998)
Coauthor Index
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