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M. Sensoy

4 papers hereh-index 203.1k citations120 works total

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

author position
  • first author1
  • last author3

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

fields
  • cs.AI2
  • cs.DB1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedUncertainty-Aware Deep Classifiers using Generative Models

3 citations · 4 across the 3 of their papers we have counts for

collaborators

4 papers

cs.AI2020★ 1 cited

Process Discovery for Structured Program Synthesis

Dell Zhang, Alexander Kuhnle, Julian Richardson +1

A core task in process mining is process discovery which aims to learn an accurate process model from event log data. In this paper, we propose to use (block-) structured programs…

cs.LG2020★ 3 cited

Uncertainty-Aware Deep Classifiers using Generative Models

Murat Sensoy, Lance Kaplan, Federico Cerutti +1

Deep neural networks are often ignorant about what they do not know and overconfident when they make uninformed predictions. Some recent approaches quantify classification uncertai…

cs.AI2019

SHACL Constraints with Inference Rules

Paolo Pareti, George Konstantinidis, Timothy J. Norman +1

The Shapes Constraint Language (SHACL) has been recently introduced as a W3C recommendation to define constraints that can be validated against RDF graphs. Interactions of SHACL wi…

cs.DB2019

Rule Applicability on RDF Triplestore Schemas

Paolo Pareti, George Konstantinidis, Timothy J. Norman +1

Rule-based systems play a critical role in health and safety, where policies created by experts are usually formalised as rules. When dealing with increasingly large and dynamic so…

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