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Pedro Bizarro

Mind the truncation gap: challenges of learning on dynamic graphs with recurrent architectures

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Dec 30, 2024
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Fair-OBNC: Correcting Label Noise for Fairer Datasets

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Oct 08, 2024
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Show Me What's Wrong!: Combining Charts and Text to Guide Data Analysis

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Oct 02, 2024
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RIFF: Inducing Rules for Fraud Detection from Decision Trees

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Aug 23, 2024
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Deep-Graph-Sprints: Accelerated Representation Learning in Continuous-Time Dynamic Graphs

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Jul 10, 2024
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Aequitas Flow: Streamlining Fair ML Experimentation

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May 09, 2024
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Cost-Sensitive Learning to Defer to Multiple Experts with Workload Constraints

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Mar 21, 2024
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DiConStruct: Causal Concept-based Explanations through Black-Box Distillation

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Jan 26, 2024
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FiFAR: A Fraud Detection Dataset for Learning to Defer

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Dec 20, 2023
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Adversarial training for tabular data with attack propagation

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Jul 28, 2023
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