Zachary Wilkerson

According to our database, Zachary Wilkerson authored at least 10 papers between 2021 and 2025.

Collaborative distances:

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

2025

Extracting Features with Deep Learning for Ensemble-Driven Case-Based Classification.

Zachary Wilkerson, David Leake, David Crandall, Benjamin Wilkerson

Proceedings of the Case-Based Reasoning Research and Development, 2025

Learning Case Features with Proxy-Guided Deep Neural Networks.

Vibhas Vats, Zachary Wilkerson, Hiroki Sato, David Leake, David Crandall

Proceedings of the Case-Based Reasoning Research and Development, 2025

2024

Extracting Indexing Features for CBR from Deep Neural Networks: A Transfer Learning Approach.

Zachary Wilkerson, David Leake, Vibhas Vats, David Crandall

Proceedings of the Case-Based Reasoning Research and Development, 2024

2023

Enhancing Case-Based Reasoning with Neural Networks.

David Leake, Zachary Wilkerson, Xiaomeng Ye, David J. Crandall

Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

Exploring Deep Learning-Based Feature Extraction for Case-Based Reasoning Retrieval.

Zachary Wilkerson

Proceedings of the Workshops at the 31st International Conference on Case-Based Reasoning (ICCBR-WS 2023) co-located with the 31st International Conference on Case-Based Reasoning (ICCBR 2023), 2023

Examining the Impact of Network Architecture on Extracted Feature Quality for CBR.

David Leake, Zachary Wilkerson, Vibhas Vats, Karan Acharya, David J. Crandall

Proceedings of the Case-Based Reasoning Research and Development, 2023

2022

Leveraging SHAP and CBR for Dimensionaltiy Reduction on the Psychology Prediction Dataset.

Zachary Wilkerson, David Leake, David Crandall

Proceedings of the Workshop Proceedings of the 30th International Conferece on Case-Based Reasoning co-located with the 30th International Conference on Case-Based Reasoning (ICCBR 2022), 2022

DL-CBR Hybridization for Feature Generation and Similarity Assessment.

Zachary Wilkerson

Proceedings of the Doctoral Consortium Proceedings of the 30th International Conference on Case-Based Reasoning co-located with the 30th International Conference on Case-Based Reasoning (ICCBR 2022), 2022

Extracting Case Indices from Convolutional Neural Networks: A Comparative Study.

David Leake, Zachary Wilkerson, David Crandall

Proceedings of the Case-Based Reasoning Research and Development, 2022

2021

On Combining Knowledge-Engineered and Network-Extracted Features for Retrieval.

Zachary Wilkerson, David Leake, David J. Crandall

Proceedings of the Case-Based Reasoning Research and Development, 2021