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David M. Kent

3 papers here

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • cs.RO1
  • stat.ME1
ORCID 0000-0002-9205-5070

identity via Semantic Scholar / OpenAlex

activity
20202024
most citedSHELS: Exclusive Feature Sets for Novelty Detection and Continual Learning Without Class Boundaries

2 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

stat.ME2024★ 1 cited

Empirical Evidence That There Is No Such Thing As A Validated Prediction Model

Florian D. van Leeuwen, Ewout W. Steyerberg, David van Klaveren +3

Background: External validations are essential to assess clinical prediction models (CPMs) before deployment. Apart from model misspecification, differences in patient population a…

cs.LG2022★ 2 cited

SHELS: Exclusive Feature Sets for Novelty Detection and Continual Learning Without Class Boundaries

Meghna Gummadi, David Kent, Jorge A. Mendez +1

While deep neural networks (DNNs) have achieved impressive classification performance in closed-world learning scenarios, they typically fail to generalize to unseen categories in…

cs.RO2020

Anticipatory Human-Robot Collaboration via Multi-Objective Trajectory Optimization

Abhinav Jain, Daphne Chen, Dhruva Bansal +6

We address the problem of adapting robot trajectories to improve safety, comfort, and efficiency in human-robot collaborative tasks. To this end, we propose CoMOTO, a trajectory op…

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