Pedro Bizarro

97 papers A* 8A 4B 5Misc 1Journal 53Unranked 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
MUSE: Multi-Tenant Model Serving With Seamless Model Updates.
CoRR
Cláudio Correia, Alberto E. A. Ferreira, Lucas Martins, Miguel P. Bento, Sofia Guerreiro, Ricardo Ribeiro Pereira, Ana Sofia Gomes, Jacopo Bono, Hugo M. Ferreira, Pedro Bizarro
2026 J jnl
Uncertainty-Aware Systems for Human-AI Collaboration.
Trans. Mach. Learn. Res.
Vasco Pearson, Jean V. Alves, Jacopo Bono, Mário A. T. Figueiredo, Pedro Bizarro
2025 J jnl
Benchmark It Yourself (BIY): Preparing a Dataset and Benchmarking AI Models for Scatterplot-Related Tasks.
CoRR
João Palmeiro, Diogo Duarte, Rita Costa, Pedro Bizarro
2025 — conf
Evaluating Transfer Learning Methods on Real-World Data Streams: A Case Study in Financial Fraud Detection.
ECML/PKDD (9)
Ricardo Ribeiro Pereira, Jacopo Bono, Hugo M. Ferreira, Pedro Ribeiro, Carlos Soares, Pedro Bizarro
2025 — conf
High Probability Risk Control Under Covariate Shift.
COPA
Duarte C. Almeida, João Bravo, Jacopo Bono, Pedro Bizarro, Mário A. T. Figueiredo
2025 A conf
SARSum: A Relevance and Comprehensiveness-Aware Abstractive Summarization Dataset for Suspicious Activity Reports.
ECAI
Jean V. Alves, Javier Liébana, Hugo M. Ferreira, Pedro Bizarro
2024 J jnl
"Show Me What's Wrong!": Combining Charts and Text to Guide Data Analysis.
CoRR
Beatriz Feliciano, Rita Costa, Jean V. Alves, Javier Liébana, Diogo Duarte, Pedro Bizarro
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
AutoVizuA11y: A Tool to Automate Screen Reader Accessibility in Charts.
Comput. Graph. Forum
Diogo Duarte, Rita Costa, Pedro Bizarro, Carlos Duarte
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 J jnl
Deep-Graph-Sprints: Accelerated Representation Learning in Continuous-Time Dynamic Graphs.
CoRR
Ahmad Naser Eddin, Jacopo Bono, David Aparício, Hugo Ferreira, Pedro Ribeiro, Pedro Bizarro
2024 J jnl
Deep-Graph-Sprints: Accelerated Representation Learning in Continuous-Time Dynamic Graphs.
Trans. Mach. Learn. Res.
Ahmad Naser Eddin, Jacopo Bono, David Oliveira Aparício, Hugo Ferreira, Pedro Manuel Pinto Ribeiro, 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 A* conf
Lessons Learned while Running ML Models in Harsh Environments.
KDD
Pedro Bizarro
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
2024 B conf
RIFF: Inducing Rules for Fraud Detection from Decision Trees.
RuleML+RR
Lucas Martins, João Bravo, Ana Sofia Gomes, Carlos Soares, Pedro Bizarro
2024 J jnl
RIFF: Inducing Rules for Fraud Detection from Decision Trees.
CoRR
João Lucas Martins, João Bravo, Ana Sofia Gomes, Carlos Soares, Pedro Bizarro
2023 J jnl
Adversarial training for tabular data with attack propagation.
CoRR
Tiago Leon Melo, João Bravo, Marco O. P. Sampaio, Paolo Romano, Hugo Ferreira, João Tiago Ascensão, Pedro Bizarro
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
2023 — conf
From random-walks to graph-sprints: a low-latency node embedding framework on continuous-time dynamic graphs.
ICAIF
Jacopo Bono, Ahmad Naser Eddin, David Aparício, Hugo Ferreira, João Tiago Ascensão, Pedro Ribeiro, Pedro Bizarro
2023 J jnl
From random-walks to graph-sprints: a low-latency node embedding framework on continuous-time dynamic graphs.
CoRR
Ahmad Naser Eddin, Jacopo Bono, David Aparício, Hugo Ferreira, João Tiago Ascensão, Pedro Ribeiro, Pedro Bizarro
2023 — conf
The GANfather: Controllable generation of malicious activity to improve defence systems.
ICAIF
Ricardo Ribeiro Pereira, Jacopo Bono, João Tiago Ascensão, David Aparício, Pedro Ribeiro, Pedro Bizarro
2023 J jnl
The GANfather: Controllable generation of malicious activity to improve defence systems.
CoRR
Ricardo Ribeiro Pereira, Jacopo Bono, João Tiago Ascensão, David Aparício, Pedro Ribeiro, Pedro Bizarro
2022 — conf
A Case Study on Implementing Screen Reader Accessibility in Dynamic Visualizations.
EuroVis (Posters)
Rita Costa, Beatriz Malveiro, João Palmeiro, 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 — conf
Data+Shift: Supporting Visual Investigation of Data Distribution Shifts by Data Scientists.
EuroVis (Short Papers)
João Palmeiro, Beatriz Malveiro, Rita Costa, David Polido, Ricardo Moreira, Pedro Bizarro
2022 J jnl
Data+Shift: Supporting visual investigation of data distribution shifts by data scientists.
CoRR
João Palmeiro, Beatriz Malveiro, Rita Costa, David Polido, Ricardo Moreira, 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
Lightweight Automated Feature Monitoring for Data Streams.
CoRR
João Conde, Ricardo Moreira, João Torres, Pedro Cardoso, Hugo R. C. Ferreira, Marco O. P. Sampaio, João Tiago Ascensão, 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 — conf
Active learning for imbalanced data under cold start.
ICAIF
Ricardo Barata, Miguel Leite, Ricardo Pacheco, Marco O. P. Sampaio, João Tiago Ascensão, Pedro Bizarro
2021 J jnl
Active learning for online training in imbalanced data streams under cold start.
CoRR
Ricardo Barata, Miguel Leite, Ricardo Pacheco, Marco O. P. Sampaio, João Tiago Ascensão, Pedro Bizarro
2021 J jnl
Anti-Money Laundering Alert Optimization Using Machine Learning with Graphs.
CoRR
Ahmad Naser Eddin, Jacopo Bono, David Aparício, David Polido, João Tiago Ascensão, Pedro Bizarro, Pedro Ribeiro
2021 — conf
Finding NeMo: Fishing in Banking Networks Using Network Motifs.
SEA-Data@VLDB
Xavier Fontes, David Aparício, Maria Inês Silva, Beatriz Malveiro, João Tiago Ascensão, Pedro Bizarro
2021 J jnl
Finding NeMo: Fishing in banking networks using network motifs.
CoRR
Xavier Fontes, David Aparício, Maria Inês Silva, Beatriz Malveiro, João Tiago Ascensão, Pedro Bizarro
2021 J jnl
GUDIE: a flexible, user-defined method to extract subgraphs of interest from large graphs.
CoRR
Maria Inês Silva, David Aparício, Beatriz Malveiro, João Tiago Ascensão, Pedro Bizarro
2021 J jnl
GuiltyWalker: Distance to illicit nodes in the Bitcoin network.
CoRR
Catarina Oliveira, João Torres, Maria Inês Silva, David Aparício, João Tiago Ascensão, 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 J jnl
Railgun: managing large streaming windows under MAD requirements.
CoRR
Ana Sofia Gomes, João Oliveirinha, Pedro Cardoso, Pedro Bizarro
2021 J jnl
Railgun: managing large streaming windows under MAD requirements.
Proc. VLDB Endow.
Ana Sofia Gomes, João Oliveirinha, Pedro Cardoso, 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 J jnl
ARMS: Automated rules management system for fraud detection.
CoRR
David Aparício, Ricardo Barata, João Bravo, João Tiago Ascensão, Pedro Bizarro
2020 J jnl
BreachRadar: Automatic Detection of Points-of-Compromise.
CoRR
Miguel Araujo, Miguel Almeida, Jaime Ferreira, Luís Moura Silva, Pedro Bizarro
2020 A* conf
Interleaved Sequence RNNs for Fraud Detection.
KDD
Bernardo Branco, Pedro Abreu, Ana Sofia Gomes, Mariana S. C. Almeida, João Tiago Ascensão, Pedro Bizarro
2020 J jnl
Interleaved Sequence RNNs for Fraud Detection.
CoRR
Bernardo Branco, Pedro Abreu, Ana Sofia Gomes, Mariana S. C. Almeida, João Tiago Ascensão, Pedro Bizarro
2020 J jnl
Machine learning methods to detect money laundering in the Bitcoin blockchain in the presence of label scarcity.
CoRR
Joana Lorenz, Maria Inês Silva, David Aparício, João Tiago Ascensão, Pedro Bizarro
2020 — conf
Machine learning methods to detect money laundering in the bitcoin blockchain in the presence of label scarcity.
ICAIF
Joana Lorenz, Maria Inês Silva, David Aparício, João Tiago Ascensão, Pedro Bizarro
2020 J jnl
Railgun: streaming windows for mission critical systems.
CoRR
João Oliveirinha, Ana Sofia Gomes, Pedro Cardoso, Pedro Bizarro
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
2019 J jnl
Automatic Model Monitoring for Data Streams.
CoRR
Fábio Pinto, Marco O. P. Sampaio, Pedro Bizarro
2017 A conf
BreachRadar: Automatic Detection of Points-of-Compromise.
SDM
Miguel Araujo, Miguel Almeida, Jaime Ferreira, Luís Moura Silva, Pedro Bizarro
2014 J jnl
Scalable Proactive Event-Driven Decision Making.
IEEE Technol. Soc. Mag.
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
2013 B conf
FINCoS: benchmark tools for event processing systems.
ICPE
Marcelo R. N. Mendes, Pedro Bizarro, Paulo Marques
2013 B conf
Overcoming memory limitations in high-throughput event-based applications.
ICPE
Marcelo R. N. Mendes, Pedro Bizarro, Paulo Marques
2013 B conf
Towards a standard event processing benchmark.
ICPE
Marcelo R. N. Mendes, Pedro Bizarro, Paulo Marques
2011 Misc conf
An Integrated Data Management Approach to Manage Health Care Data.
BTW
Diogo Guerra, Ute Gawlick, Pedro Bizarro, Dieter Gawlick
2011 — conf
Deadline Queries: Leveraging the Cloud to Produce On-Time Results.
IEEE CLOUD
David Alves, Pedro Bizarro, Paulo Marques
2011 — conf
Event processing grand challenges.
DEBS
Pedro Bizarro, K. Mani Chandy, Nenad Stojanovic
2010 — conf
Assessing and Optimizing Microarchitectural Performance of Event Processing Systems.
TPCTC
Marcelo R. N. Mendes, Pedro Bizarro, Paulo Marques
2010 — conf
Benchmarking event processing systems: current state and future directions.
WOSP/SIPEW
Marcelo R. N. Mendes, Pedro Bizarro, Paulo Marques
2010 — conf
Events, Neural Systems and Time Series.
ServiceWave Workshops
Leslie S. Smith, Daniel Metz, Jungpen Bao, Pedro Bizarro
2010 — conf
Flood: elastic streaming MapReduce.
DEBS
David Alves, Pedro Bizarro, Paulo Marques
2009 — conf
A Performance Study of Event Processing Systems.
TPCTC
Marcelo R. N. Mendes, Pedro Bizarro, Paulo Marques
2009 — conf
A Training Process for Faculty Members in Collaborative Degree Programs: Design, Implementation and Feedback.
CSEE&T
Gil Taran, Mário Zenha Rela, Paulo Marques, Pedro Bizarro
2009 — conf
An integrated data management approach to manage health care data.
DEBS
Diogo Guerra, Ute Gawlick, Pedro Bizarro
2009 J jnl
Progressive Parametric Query Optimization.
IEEE Trans. Knowl. Data Eng.
Pedro Bizarro, Nicolas Bruno, David J. DeWitt
2008 — conf
A framework for performance evaluation of complex event processing systems.
DEBS
Marcelo R. N. Mendes, Pedro Bizarro, Paulo Marques
2007 — conf
BiCEP - Benchmarking Complex Event Processing Systems.
Event Processing
Pedro Bizarro
2005 A conf
Adaptive Query Processing in the Looking Glass.
CIDR
Shivnath Babu, Pedro Bizarro
2005 A* conf
Content-Based Routing: Different Plans for Different Data.
VLDB
Pedro Bizarro, Shivnath Babu, David J. DeWitt, Jennifer Widom
2005 — conf
Proactive Re-optimization.
SIGMOD Conference
Shivnath Babu, Pedro Bizarro, David J. DeWitt
2005 — conf
Proactive re-optimization with Rio.
SIGMOD Conference
Shivnath Babu, Pedro Bizarro, David J. DeWitt
2002 B conf
Adding a Performance-Oriented Perspective to Data Warehouse Design.
DaWaK
Pedro Bizarro, Henrique Madeira
2001 — conf
The Dimension-Join: A New Index for Data Warehouses.
SBBD
Pedro Bizarro, Henrique Madeira
1998 J jnl
JWarp: A Java Library for Parallel Discrete-Event Simulations.
Concurr. Pract. Exp.
Pedro Bizarro, Luís Moura Silva, João Gabriel Silva