Alejandro Kuratomi

According to our database, Alejandro Kuratomi authored at least 13 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Subgroup fairness based on shared counterfactuals.

Alejandro Kuratomi, Zed Lee, Panayiotis Tsaparas, Evaggelia Pitoura, Tony Lindgren, Guilherme Dinis Junior, Panagiotis Papapetrou

Knowl. Inf. Syst., November, 2025

A Case Study in Explainable AI for Drug-Drug Interaction Prediction: A SHAP-Based Approach.

Muna Shati, Franco Rugolon, Alejandro Kuratomi

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025

Trustworthiness and Medical Usefulness of Explainability Techniques in ML-Supported Depression Screening Within Primary Care.

Guilherme Gryschek, Luis Quintero, Alejandro Kuratomi

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025

SepsisVision: Web-Based Support Tool for Sepsis Mortality Risk Screening Through Explanatory and Exploratory User Interfaces.

Kent Fredriksdotter, Alejandro Kuratomi, Lena Mondrejevski, Luis Quintero

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025

2024

Ijuice: integer JUstIfied counterfactual explanations.

Alejandro Kuratomi, Ioanna Miliou, Zed Lee, Tony Lindgren, Panagiotis Papapetrou

Mach. Learn., July, 2024

Orange Juice: Enhancing Machine Learning Interpretability.

Alejandro Kuratomi Hernández

PhD thesis, 2024

CRITS: Convolutional Rectifier for Interpretable Time Series Classification.

Alejandro Kuratomi, Zed Lee, Guilherme Dinis Junior, Tony Lindgren, Diego García-Pérez

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024

CounterFair: Group Counterfactuals for Bias Detection, Mitigation and Subgroup Identification.

Alejandro Kuratomi, Zed Lee, Panayiotis Tsaparas, Guilherme Dinis Junior, Evaggelia Pitoura, Tony Lindgren, Panagiotis Papapetrou

Proceedings of the IEEE International Conference on Data Mining, 2024

Improving XAI Explanations for Clinical Decision-Making - Physicians' Perspective on Local Explanations in Healthcare.

Ulf Lesley, Alejandro Kuratomi Hernández

Proceedings of the Artificial Intelligence in Medicine - 22nd International Conference, 2024

2023

ORANGE: Opposite-label soRting for tANGent Explanations in heterogeneous spaces.

Alejandro Kuratomi, Zed Lee, Ioanna Miliou, Tony Lindgren, Panagiotis Papapetrou

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022

Measuring the Burden of (Un)fairness Using Counterfactuals.

Alejandro Kuratomi, Evaggelia Pitoura, Panagiotis Papapetrou, Tony Lindgren, Panayiotis Tsaparas

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

JUICE: JUstIfied Counterfactual Explanations.

Alejandro Kuratomi, Ioanna Miliou, Zed Lee, Tony Lindgren, Panagiotis Papapetrou

Proceedings of the Discovery Science - 25th International Conference, 2022

2020

Prediction of Global Navigation Satellite System Positioning Errors with Guarantees.

Alejandro Kuratomi, Tony Lindgren, Panagiotis Papapetrou

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020