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Bertram Ludäscher

University of Illinois at Urbana-Champaign

27 papers hereh-index 459.9k citations348 works total

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

author position
  • first author3
  • middle author12
  • last author12

Across the 27 of 27 papers where every author was matched, so the position is known.

fields
  • cs.DB10
  • cs.CL3
  • cs.DC3
  • cs.AI2
  • cs.LO2
  • q-bio.PE2
affiliations
  • University of Illinois at Urbana-Champaign
same name
  • Bertram Ludäscher — 1 paper, h 3

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
20132025
most citedReasoning over Taxonomic Change: Exploring Alignments for the Perelleschus Use Case

36 citations · 148 across the 24 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CL2025

CRABS: A syntactic-semantic pincer strategy for bounding LLM interpretation of Python notebooks

Meng Li, Timothy M. McPhillips, Dingmin Wang +2

Recognizing the information flows and operations comprising data science and machine learning Python notebooks is critical for evaluating, reusing, and adapting notebooks for new t…

cs.AI2025

AF-XRAY: Visual Explanation and Resolution of Ambiguity in Legal Argumentation Frameworks

Yilin Xia, Heng Zheng, Shawn Bowers +1

Argumentation frameworks (AFs) provide formal approaches for legal reasoning, but identifying sources of ambiguity and explaining argument acceptance remains challenging for non-ex…

cs.AI2025

Choices and their Provenance: Explaining Stable Solutions of Abstract Argumentation Frameworks

Bertram Ludäscher, Yilin Xia, Shawn Bowers

The rule Defeated(x)←Attacks(y,x),¬Defeated(y), evaluated under the well-founded semantics (WFS), yields a unique 3-valued (skepti…

cs.DB2025

Logica-TGD: Transforming Graph Databases Logically

Evgeny Skvortsov, Yilin Xia, Bertram Ludäscher +1

Graph transformations are a powerful computational model for manipulating complex networks, but handling temporal aspects and scalability remain significant challenges. We present…

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