5 citations · 8 across the 6 of their papers we have counts for
6 papers
Combining Abstract Argumentation and Machine Learning for Efficiently Analyzing Low-Level Process Event Streams
Bettina Fazzinga, Sergio Flesca, Filippo Furfaro +2
Monitoring and analyzing process traces is a critical task for modern companies and organizations. In scenarios where there is a gap between trace events and reference business act…
A Chatbot for Asylum-Seeking Migrants in Europe
Bettina Fazzinga, Elena Palmieri, Margherita Vestoso +4
We present ACME: A Chatbot for asylum-seeking Migrants in Europe. ACME relies on computational argumentation and aims to help migrants identify the highest level of protection they…
Consistency Checking and Querying in Probabilistic Databases under Integrity Constraints
Sergio Flesca, Filippo Furfaro, Francesco Parisi
We address the issue of incorporating a particular yet expressive form of integrity constraints (namely, denial constraints) into probabilistic databases. To this aim, we move away…
Consistent query answers on numerical databases under aggregate constraints
Sergio Flesca, Filippo Furfaro, Francesco Parisi
The problem of extracting consistent information from relational databases violating integrity constraints on numerical data is addressed. In particular, aggregate constraints defi…
Estimating Range Queries using Aggregate Data with Integrity Constraints: a Probabilistic Approach
Francesco Buccafurri, Filippo Furfaro, Domenico Sacca'
The problem of recovering (count and sum) range queries over multidimensional data only on the basis of aggregate information on such data is addressed. This problem can be formali…
Minimal founded semantics for disjunctive logic programs and deductive databases
Filippo Furfaro, Gianluigi Greco, Sergio Greco
In this paper, we propose a variant of stable model semantics for disjunctive logic programming and deductive databases. The semantics, called minimal founded, generalizes stable m…