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K. Revoredo

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.AI2
  • cs.IR1

identity via Semantic Scholar / OpenAlex

most citedCause vs. Effect in Context-Sensitive Prediction of Business Process Instances

23 citations · 23 across the 1 of their papers we have counts for

collaborators

3 papers

cs.AI2020

XNAP: Making LSTM-based Next Activity Predictions Explainable by Using LRP

Sven Weinzierl, Sandra Zilker, Jens Brunk +3

Predictive business process monitoring (PBPM) is a class of techniques designed to predict behaviour, such as next activities, in running traces. PBPM techniques aim to improve pro…

cs.AI2020★ 23 cited

Cause vs. Effect in Context-Sensitive Prediction of Business Process Instances

Jens Brunk, Matthias Stierle, Leon Papke +3

Predicting undesirable events during the execution of a business process instance provides the process participants with an opportunity to intervene and keep the process aligned wi…

cs.IR2018

QRFA: A Data-Driven Model of Information-Seeking Dialogues

Svitlana Vakulenko, Kate Revoredo, Claudio Di Ciccio +1

Understanding the structure of interaction processes helps us to improve information-seeking dialogue systems. Analyzing an interaction process boils down to discovering patterns i…

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