Pedro Bizarro

Affiliations:
  • Feedzai
  • University of Coimbra, Portugal (former)
  • University of Wisconsin-Madison, Madison, USA (former)


According to our database1, Pedro Bizarro authored at least 61 papers between 1998 and 2024.

Collaborative distances:

Timeline

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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

Adversarial training for tabular data with attack propagation.
CoRR, 2023

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

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

The GANfather: Controllable generation of malicious activity to improve defence systems.
Proceedings of the 4th ACM International Conference on AI in Finance, 2023

From random-walks to graph-sprints: a low-latency node embedding framework on continuous-time dynamic graphs.
Proceedings of the 4th ACM International Conference on AI in Finance, 2023

2022
Lightweight Automated Feature Monitoring for Data Streams.
CoRR, 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

Data+Shift: Supporting Visual Investigation of Data Distribution Shifts by Data Scientists.
Proceedings of the 24th Eurographics Conference on Visualization, 2022

A Case Study on Implementing Screen Reader Accessibility in Dynamic Visualizations.
Proceedings of the 24th Eurographics Conference on Visualization, 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
Railgun: managing large streaming windows under MAD requirements.
Proc. VLDB Endow., 2021

Anti-Money Laundering Alert Optimization Using Machine Learning with Graphs.
CoRR, 2021

GUDIE: a flexible, user-defined method to extract subgraphs of interest from large graphs.
CoRR, 2021

Active learning for online training in imbalanced data streams under cold start.
CoRR, 2021

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

GuiltyWalker: Distance to illicit nodes in the Bitcoin network.
CoRR, 2021

Finding NeMo: Fishing in Banking Networks Using Network Motifs.
Proceedings of the 2nd Workshop on Search, 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

Active learning for imbalanced data under cold start.
Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 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

Railgun: streaming windows for mission critical systems.
CoRR, 2020

ARMS: Automated rules management system for fraud detection.
CoRR, 2020

Interleaved Sequence RNNs for Fraud Detection.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Machine learning methods to detect money laundering in the bitcoin blockchain in the presence of label scarcity.
Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020

2019
Automatic Model Monitoring for Data Streams.
CoRR, 2019

2017
BreachRadar: Automatic Detection of Points-of-Compromise.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

2014
Scalable Proactive Event-Driven Decision Making.
IEEE Technol. Soc. Mag., 2014

2013
FINCoS: benchmark tools for event processing systems.
Proceedings of the ACM/SPEC International Conference on Performance Engineering, 2013

Overcoming memory limitations in high-throughput event-based applications.
Proceedings of the ACM/SPEC International Conference on Performance Engineering, 2013

Towards a standard event processing benchmark.
Proceedings of the ACM/SPEC International Conference on Performance Engineering, 2013

2011
Event processing grand challenges.
Proceedings of the Fifth ACM International Conference on Distributed Event-Based Systems, 2011

An Integrated Data Management Approach to Manage Health Care Data.
Proceedings of the Datenbanksysteme für Business, 2011

Deadline Queries: Leveraging the Cloud to Produce On-Time Results.
Proceedings of the IEEE International Conference on Cloud Computing, 2011

2010
Benchmarking event processing systems: current state and future directions.
Proceedings of the first joint WOSP/SIPEW International Conference on Performance Engineering, 2010

Assessing and Optimizing Microarchitectural Performance of Event Processing Systems.
Proceedings of the Performance Evaluation, Measurement and Characterization of Complex Systems, 2010

Events, Neural Systems and Time Series.
Proceedings of the Towards a Service-Based Internet. ServiceWave 2010 Workshops, 2010

Flood: elastic streaming MapReduce.
Proceedings of the Fourth ACM International Conference on Distributed Event-Based Systems, 2010

2009
Progressive Parametric Query Optimization.
IEEE Trans. Knowl. Data Eng., 2009

A Performance Study of Event Processing Systems.
Proceedings of the Performance Evaluation and Benchmarking, 2009

An integrated data management approach to manage health care data.
Proceedings of the Third ACM International Conference on Distributed Event-Based Systems, 2009

A Training Process for Faculty Members in Collaborative Degree Programs: Design, Implementation and Feedback.
Proceedings of the Proceedings 22nd Conference on Software Engineering Education and Training, 2009

2008
A framework for performance evaluation of complex event processing systems.
Proceedings of the Second International Conference on Distributed Event-Based Systems, 2008

2007
BiCEP - Benchmarking Complex Event Processing Systems.
Proceedings of the Event Processing, 6.5. - 11.5.2007, 2007

2005
Content-Based Routing: Different Plans for Different Data.
Proceedings of the 31st International Conference on Very Large Data Bases, Trondheim, Norway, August 30, 2005

Proactive re-optimization with Rio.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2005

Proactive Re-optimization.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2005

Adaptive Query Processing in the Looking Glass.
Proceedings of the Second Biennial Conference on Innovative Data Systems Research, 2005

2002
Adding a Performance-Oriented Perspective to Data Warehouse Design.
Proceedings of the Data Warehousing and Knowledge Discovery, 4th International Conference, 2002

2001
The Dimension-Join: A New Index for Data Warehouses.
Proceedings of the XVI Simpósio Brasileiro de Banco de Dados, 2001

1998
JWarp: A Java Library for Parallel Discrete-Event Simulations.
Concurr. Pract. Exp., 1998


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