4 Contributo in Atti di Convegno (Proceeding)

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A Collaborative Environment to Boost Co-Production of Sustainable Public Services

Government scholars claim that co-production might be the key to evolve towards more citizen-centric and sustainable public services. This paper describes the work carried out within the European H2020 project INTERLINK towards devising a co-production environment to democratize and boost the collaborative co-design and co-delivery of public services and to foster the reuse of a continuous growing plethora of public services’ building blocks (INTERLIKERs). The evaluation strategy to assess th...

NORMA: a tool for the analysis of Relay-based Railway Interlocking Systems

We present NORMA, a tool for the modeling and analysis of Relay-based Railways Interlocking Systems (RRIS). NORMA is the result of a research project funded by the Italian Railway Network, to support the reverse engineering and migration to computer-based technology of legacy RRIS. The frontend fully supports the graphical modeling of Italian RRIS, with a palette of over two hundred basic components, stubs to abstract RRIS subcircuits, and requirements in terms of formal properties. The inter...

Addressing Slot-Value Changes in Task-oriented Dialogue Systems Through Dialogue Domain Adaptation

Recent task-oriented dialogue systems learn a model from annotated dialogues, and such dialogues are in turn collected and annotated so that they are consistent with certain domain knowledge. However, in real scenarios, domain knowledge is subject to frequent changes, and initial training dialogues may soon become obsolete, resulting in a significant decrease in the model performance. In this paper, we investigate the relationship between training dialogues and domain knowledge, and propose D...

Unsupervised change detection in multi-modal SAR images using CycleGAN

Many Change Detection (CD) methods exploit the bi-temporal multi-modal data derived by multiple sensors to find the changes effectively. State-of-the-Art CD methods define features with a common domain between the multi-modal data by normalizing input images or ad hoc feature extraction/selection methods. Deep Learning (DL) CD methods automatically learn features with a common domain during the training or adapt the features derived by multi-modal data. However, CD methods focusing on multi-s...

A Hybrid CNN-Transformer Architecture for Semantic Segmentation of Radar Sounder data

Radar Sounders (RSs) are space-borne and airborne sensors operating on the nadir-looking geometry to collect sub-surface information by transmitting linearly modulated electro-magnetic (EM) pulses and receiving backscattered (reflected from different subsurface targets) echoes. The echoes are coherently represented to generate radargrams. A radargram is used to characterize subsurface target structures. Interestingly, radargram signals depict sequential structures due to linearly homo-geneous...

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