543 citations · 578 across the 9 of their papers we have counts for
9 papers
Uncertainty-aware Personal Assistant for Making Personalized Privacy Decisions
Gonul Ayci, Murat Sensoy, Arzucan Özgür +1
Many software systems, such as online social networks enable users to share information about themselves. While the action of sharing is simple, it requires an elaborate thought pr…
Handling Epistemic and Aleatory Uncertainties in Probabilistic Circuits
Federico Cerutti, Lance M. Kaplan, Angelika Kimmig +1
When collaborating with an AI system, we need to assess when to trust its recommendations. If we mistakenly trust it in regions where it is likely to err, catastrophic failures may…
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…
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…
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…
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…