Recent years witnessed a growing interest in the employment of intelligent techniques for the management of manufacturing processes in smart manufacturing. These processes may include tens of resources distributed among several different companies composing the supply chain. The status of the...
04b Atto di convegno in volume
-
-
In recent years, there has been an increase interest in using intelligent methods to control manufacturing processes. Tens of resources to be modeled and offered as services through Industrial APIs, may be used in these processes and orchestrated throughout the various supply chain companies. The...
-
We study a natural combinatorial single-principal multi-agent contract design problem, in which a principal motivates a team of agents to exert effort toward a given task. At the heart of our model is a reward function, which maps the agent efforts to an expected reward of the principal. We seek to...
-
Behavior composition problem is particularly relevant for multi-agent systems and aims at building a complex target behavior using several agent behaviors. In this work, we develop a framework that models the agent behaviors in stochastic settings both when the target is represented as a Finite...
-
Recent years witnessed a growing interest in the employment of intelligent techniques for the management of manufacturing processes in smart manufacturing. These processes may include tens of resources distributed among several different companies composing the supply chain. The status of the...
-
In recent years, there has been an increase interest in using intelligent methods to control manufacturing processes. Tens of resources to be modeled and offered as services through Industrial APIs, may be used in these processes and orchestrated throughout the various supply chain companies. The...
-
Sequential Recommender Systems (SRSs) are a popular type of recommender system that leverages user history to predict the next item of interest. However, the presence of noise in user interactions, stemming from account sharing, inconsistent preferences, or accidental clicks, can significantly...
-
Behavioural Cloning is a Machine Learning method concerning how a machine attempts to autonomously mimic the actions of a human, or in general a complex controller, performing a given task. This work innovatively exploits Behavioural Cloning in support of Pediatric Neurorehabilitation. In...
-
Data extraction, retrieval and visualization are some of the key points in Digital Humanities, and together they cover most of the challenges of this field of study, requiring multidisciplinary knowledge. The fruition by users is still today compromised by limited user experiences, problems of...
-
In recent years, research in text summarization has mainly focused on the news domain, where texts are typically short and have strong layout features. The task of full-book summarization presents additional challenges which are hard to tackle with current resources, due to their limited size and...