David Leake

5 papers in the IJCAI proceedings

IJCAI 2026

NN-kNN for Regression: Accurate Prediction from Interpretable Retrieval

with Xiaomeng Ye, Yu Wang, David Crandall, Great Abhieyighan, Mereck McGowan

doi:10.24963/ijcai.2026/93

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IJCAI 2025

EnergyCompress: A General Case Base Learning Strategy

with Fadi Badra, Esteban Marquer, Marie-Jeanne Lesot, Miguel Couceiro

doi:10.24963/ijcai.2025/483

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Run Like a Neural Network, Explain Like k-Nearest Neighbor

with Xiaomeng Ye, Yu Wang, David Crandall

doi:10.24963/ijcai.2025/763

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IJCAI 2019

Unsupervised Hierarchical Temporal Abstraction by Simultaneously Learning Expectations and Representations

with Katherine Metcalf

doi:10.24963/ijcai.2019/436

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IJCAI 2017

Learning and Applying Case Adaptation Rules for Classification: An Ensemble Approach

with Vahid Jalali, Najmeh Forouzandehmehr

doi:10.24963/ijcai.2017/685

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Future Conferences

AI Journal Division

IJCAI Proceedings