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researcher

Paul J. Kennedy

4 papers hereh-index 224k citations124 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.NE1
same name
  • Paul J. Kennedy — 1 paper, h 3
  • Paul J. Kennedy — 1 paper, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedRelational Autoencoder for Feature Extraction

180 citations · 197 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2026

CUNO: Curriculum and Preference Optimization for Stable Graph Unlearning under Mass Deletion

Chenhan Zhang, Ali Braytee, Madhushi Bandara +4

Graph unlearning removes the influence of designated training data from a trained graph model without retraining from scratch. However, existing methods suffer a sharp drop in mode…

cs.LG2021

Beyond Topics: Discovering Latent Healthcare Objectives from Event Sequences

Adrian Caruana, Madhushi Bandara, Daniel Catchpoole +1

A meaningful understanding of clinical protocols and patient pathways helps improve healthcare outcomes. Electronic health records (EHR) reflect real-world treatment behaviours tha…

cs.LG2018★ 180 cited

Relational Autoencoder for Feature Extraction

Qinxue Meng, Daniel Catchpoole, David Skillicorn +1

Feature extraction becomes increasingly important as data grows high dimensional. Autoencoder as a neural network based feature extraction method achieves great success in generati…

cs.NE2018★ 17 cited

Dynamic Island Model based on Spectral Clustering in Genetic Algorithm

Qinxue Meng, Jia Wu, John Ellisy +1

How to maintain relative high diversity is important to avoid premature convergence in population-based optimization methods. Island model is widely considered as a major approach…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.