Pedro Bizarro

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 58

Top Topics

Fraud Detection

Top Venues

Publications

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 (2024)
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)
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 (2024)
Diogo Duarte, Rita Costa, Pedro Bizarro, Carlos Duarte
AutoVizuA11y: A Tool to Automate Screen Reader Accessibility in Charts. Comput. Graph. Forum 43 (3) (2024)
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)
Ricardo Moreira, Jacopo Bono, Mário Cardoso, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro
DiConStruct: Causal Concept-based Explanations through Black-Box Distillation. CoRR (2024)
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)
Pedro Bizarro
Lessons Learned while Running ML Models in Harsh Environments. KDD (2024)
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 (2024)
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)
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)
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 (2023)
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 (2023)
André Ferreira Cruz, Catarina Belém, João Bravo, Pedro Saleiro, Pedro Bizarro
FairGBM: Gradient Boosting with Fairness Constraints. ICLR (2023)
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 (2023)
José Pombal, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro
Fairness-Aware Data Valuation for Supervised Learning. CoRR (2023)
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 (2023)
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 (2022)
André Ferreira Cruz, Catarina Belém, João Bravo, Pedro Saleiro, Pedro Bizarro
FairGBM: Gradient Boosting with Fairness Constraints. CoRR (2022)
Sérgio M. Jesus, José Pombal, Duarte 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 (2022)
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 (2022)
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 (2022)
Rita Costa, Beatriz Malveiro, João Palmeiro, Pedro Bizarro
A Case Study on Implementing Screen Reader Accessibility in Dynamic Visualizations. EuroVis (Posters) (2022)
Mário Cardoso, Pedro Saleiro, Pedro Bizarro
LaundroGraph: Self-Supervised Graph Representation Learning for Anti-Money Laundering. ICAIF (2022)
Mário Cardoso, Pedro Saleiro, Pedro Bizarro
LaundroGraph: Self-Supervised Graph Representation Learning for Anti-Money Laundering. CoRR (2022)
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 (2022)
Sérgio M. Jesus, José Pombal, Duarte 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)
Diogo Leitão, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro
Human-AI Collaboration in Decision-Making: Beyond Learning to Defer. CoRR (2022)
José Pombal, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro
Prisoners of Their Own Devices: How Models Induce Data Bias in Performative Prediction. CoRR (2022)
João Bento Sousa, Ricardo Moreira, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro
ConceptDistil: Model-Agnostic Distillation of Concept Explanations. CoRR (2022)
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)
Ana Sofia Gomes, João Oliveirinha, Pedro Cardoso, Pedro Bizarro
Railgun: managing large streaming windows under MAD requirements. Proc. VLDB Endow. 14 (12) (2021)
Catarina Oliveira, João Torres, Maria Inês Silva, David Aparício, João Tiago Ascensão, Pedro Bizarro
GuiltyWalker: Distance to illicit nodes in the Bitcoin network. CoRR (2021)
Catarina Belém, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro
Weakly Supervised Multi-task Learning for Concept-based Explainability. CoRR (2021)
André Ferreira Cruz, Pedro Saleiro, Catarina Belém, Carlos Soares, Pedro Bizarro
Promoting Fairness through Hyperparameter Optimization. CoRR (2021)
João Bento, Pedro Saleiro, André Ferreira Cruz, Mário A. T. Figueiredo, Pedro Bizarro
TimeSHAP: Explaining Recurrent Models through Sequence Perturbations. KDD (2021)
André Ferreira Cruz, Pedro Saleiro, Catarina Belém, Carlos Soares, Pedro Bizarro
Promoting Fairness through Hyperparameter Optimization. ICDM (2021)
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 (2021)
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 (2021)
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)
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)
Xavier Fontes, David Aparício, Maria Inês Silva, Beatriz Malveiro, João Tiago Ascensão, Pedro Bizarro
Finding NeMo: Fishing in banking networks using network motifs. CoRR (2021)
Ana Sofia Gomes, João Oliveirinha, Pedro Cardoso, Pedro Bizarro
Railgun: managing large streaming windows under MAD requirements. CoRR (2021)
Sérgio M. Jesus, Catarina 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 (2021)
Sérgio M. Jesus, Catarina 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)
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 (2021)
João Oliveirinha, Ana Sofia Gomes, Pedro Cardoso, Pedro Bizarro
Railgun: streaming windows for mission critical systems. CoRR (2020)
Miguel Araujo, Miguel Almeida, Jaime Ferreira, Luís Moura Silva, Pedro Bizarro
BreachRadar: Automatic Detection of Points-of-Compromise. CoRR (2020)
David Aparício, Ricardo Barata, João Bravo, João Tiago Ascensão, Pedro Bizarro
ARMS: Automated rules management system for fraud detection. CoRR (2020)
André Ferreira Cruz, Pedro Saleiro, Catarina Belém, Carlos Soares, Pedro Bizarro
A Bandit-Based Algorithm for Fairness-Aware Hyperparameter Optimization. CoRR (2020)
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 (2020)
Bernardo Branco, Pedro Abreu, Ana Sofia Gomes, Mariana S. C. Almeida, João Tiago Ascensão, Pedro Bizarro
Interleaved Sequence RNNs for Fraud Detection. CoRR (2020)
Bernardo Branco, Pedro Abreu, Ana Sofia Gomes, Mariana S. C. Almeida, João Tiago Ascensão, Pedro Bizarro
Interleaved Sequence RNNs for Fraud Detection. KDD (2020)
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)
Vladimir Balayan, Pedro Saleiro, Catarina Belém, Ludwig Krippahl, Pedro Bizarro
Teaching the Machine to Explain Itself using Domain Knowledge. CoRR (2020)
João Bento, Pedro Saleiro, André Ferreira Cruz, Mário A. T. Figueiredo, Pedro Bizarro
TimeSHAP: Explaining Recurrent Models through Sequence Perturbations. CoRR (2020)
Fábio Pinto, Marco O. P. Sampaio, Pedro Bizarro
Automatic Model Monitoring for Data Streams. CoRR (2019)
Miguel Araujo, Miguel Almeida, Jaime Ferreira, Luís Moura Silva, Pedro Bizarro
BreachRadar: Automatic Detection of Points-of-Compromise. SDM (2017)
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) (2014)
Marcelo R. N. Mendes, Pedro Bizarro, Paulo Marques
Overcoming memory limitations in high-throughput event-based applications. ICPE (2013)
Marcelo R. N. Mendes, Pedro Bizarro, Paulo Marques
FINCoS: benchmark tools for event processing systems. ICPE (2013)
Marcelo R. N. Mendes, Pedro Bizarro, Paulo Marques
Towards a standard event processing benchmark. ICPE (2013)
Pedro Bizarro, K. Mani Chandy, Nenad Stojanovic
Event processing grand challenges. DEBS (2011)
Diogo Guerra, Ute Gawlick, Pedro Bizarro, Dieter Gawlick
An Integrated Data Management Approach to Manage Health Care Data. BTW (2011)
David Alves, Pedro Bizarro, Paulo Marques
Deadline Queries: Leveraging the Cloud to Produce On-Time Results. IEEE CLOUD (2011)
David Alves, Pedro Bizarro, Paulo Marques
Flood: elastic streaming MapReduce. DEBS (2010)
Marcelo R. N. Mendes, Pedro Bizarro, Paulo Marques
Assessing and Optimizing Microarchitectural Performance of Event Processing Systems. TPCTC (2010)
Leslie S. Smith, Daniel Metz, Jungpen Bao, Pedro Bizarro
Events, Neural Systems and Time Series. ServiceWave Workshops (2010)
Marcelo R. N. Mendes, Pedro Bizarro, Paulo Marques
Benchmarking event processing systems: current state and future directions. WOSP/SIPEW (2010)
Pedro Bizarro, Nicolas Bruno, David J. DeWitt
Progressive Parametric Query Optimization. IEEE Trans. Knowl. Data Eng. 21 (4) (2009)
Diogo Guerra, Ute Gawlick, Pedro Bizarro
An integrated data management approach to manage health care data. DEBS (2009)
Marcelo R. N. Mendes, Pedro Bizarro, Paulo Marques
A Performance Study of Event Processing Systems. TPCTC (2009)
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)
Marcelo R. N. Mendes, Pedro Bizarro, Paulo Marques
A framework for performance evaluation of complex event processing systems. DEBS (2008)
Pedro Bizarro
BiCEP - Benchmarking Complex Event Processing Systems. Event Processing (2007)
Shivnath Babu, Pedro Bizarro, David J. DeWitt
Proactive re-optimization with Rio. SIGMOD Conference (2005)
Shivnath Babu, Pedro Bizarro
Adaptive Query Processing in the Looking Glass. CIDR (2005)
Pedro Bizarro, Shivnath Babu, David J. DeWitt, Jennifer Widom
Content-Based Routing: Different Plans for Different Data. VLDB (2005)
Shivnath Babu, Pedro Bizarro, David J. DeWitt
Proactive Re-optimization. SIGMOD Conference (2005)
Pedro Bizarro, Henrique Madeira
Adding a Performance-Oriented Perspective to Data Warehouse Design. DaWaK (2002)
Pedro Bizarro, Henrique Madeira
The Dimension-Join: A New Index for Data Warehouses. SBBD (2001)
Pedro Bizarro, Luís Moura Silva, João Gabriel Silva
JWarp: A Java Library for Parallel Discrete-Event Simulations. Concurr. Pract. Exp. 10 (11-13) (1998)