◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Elena Parilina

4 papers hereh-index 335 citations7 works total

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

author position
  • last author4

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

fields
  • physics.soc-ph2
  • cs.AI1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20232025
most citedShapG: new feature importance method based on the Shapley value

26 citations · 40 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2025

Strategic inputs: feature selection from game-theoretic perspective

Chi Zhao, Jing Liu, Elena Parilina

The exponential growth of data volumes has led to escalating computational costs in machine learning model training. However, many features fail to contribute positively to model p…

cs.AI2024★ 26 cited

ShapG: new feature importance method based on the Shapley value

Chi Zhao, Jing Liu, Elena Parilina

With wide application of Artificial Intelligence (AI), it has become particularly important to make decisions of AI systems explainable and transparent. In this paper, we proposed…

physics.soc-ph2024★ 4 cited

Centrality measures and opinion dynamics in two-layer networks with replica nodes

Chi Zhao, Elena Parilina

We examine two-layer networks and centrality measures defined on them. We propose two fast and accurate algorithms to approximate the game-theoretic centrality measures and examine…

physics.soc-ph2023★ 10 cited

Opinion Dynamics in Two-Layer Networks with Hypocrisy

Chi Zhao, Elena Parilina

We propose a general concealed voter model (GCVM), in which individuals interact in two layers and can exchange their opinions in the internal layer. This interaction is not allowe…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.