13 citations · 76 across the 15 of their papers we have counts for
15 papers
REPTILE: A Proactive Real-Time Deep Reinforcement Learning Self-adaptive Framework
Flavio Corradini, Miichele Loreti, Marco Piangerelli +1
In this work a general framework is proposed to support the development of software systems that are able to adapt their behaviour according to the operating environment changes. T…
Combining Machine Learning with Knowledge Engineering to detect Fake News in Social Networks-a survey
Sajjad Ahmed, Knut Hinkelmann, Flavio Corradini
Due to extensive spread of fake news on social and news media it became an emerging research topic now a days that gained attention. In the news media and social media the informat…
Development of Fake News Model using Machine Learning through Natural Language Processing
Sajjad Ahmed, Knut Hinkelmann, Flavio Corradini
Fake news detection research is still in the early stage as this is a relatively new phenomenon in the interest raised by society. Machine learning helps to solve complex problems…
Collaboration vs. choreography conformance in BPMN
Flavio Corradini, Andrea Morichetta, Andrea Polini +2
The BPMN 2.0 standard is a widely used semi-formal notation to model distributed information systems from different perspectives. The standard makes available a set of diagrams to…
A Classification of BPMN Collaborations based on Safeness and Soundness Notions
Flavio Corradini, Chiara Muzi, Barbara Re +1
BPMN 2.0 standard has a huge uptake in modelling business processes within the same organisation or collaborations involving multiple interacting participants. It results that prov…
Tangramob: an agent-based simulation framework for validating urban smart mobility solutions
Carlo Castagnari, Flavio Corradini, Francesco De Angelis +3
Estimating the effects of introducing a range of smart mobility solutions within an urban area is a crucial concern in urban planning. The lack of a Decision Support System (DSS) f…