Unsupervised semantic segmentation aims to discover groupings within images, capturing objects' view-invariance without external supervision. Moreover, this task is inherently ambiguous due to the varying levels of semantic granularity. Existing methods often bypass this ambiguity using dataset-...
04b Atto di convegno in volume
-
-
In this paper, we consider the issue of computing negative curvature directions, for nonconvex functions, within Newton-Krylov methods for large scale unconstrained optimization. This issue has been widely investigated in the literature, and different approaches have been proposed. We focus on the...
-
In this paper, we propose the use of epistemic dependencies to express data protection policies in Controlled Query Evaluation (CQE), which is a form of confidentiality-preserving query answering over ontologies and databases. The resulting policy language goes significantly beyond those proposed...
-
Clustering is an essential technique across various domains, such as data science, machine learning, and explainable artificial intelligence. Information visualization and visual analytics techniques have been proven to effectively support human involvement in the visual exploration of clustered...
-
As cyber threats continue to evolve, the need for highly skilled cyber defence operators becomes increasingly critical. In this work, we aim to provide a multidisciplinary exploration into the current educational landscape, focusing on the following pivotal areas: cyber defence educational...
-
In this paper we propose a method to classify the students’ textual descriptions of algorithms. This work is based on a wealth of data (programming tasks, related algorithm descriptions, and Peer Assessment data), coming from 6 years of use of the system Q2A, in a “Fundamentals of Computer...
-
Automated assessment of homework assignments is a challenging topic in programming courses. For some years we have been using our Q2A-II system, that supports 1) automated grading of homework programs, and 2) formative peer assessment, performed by students on the algorithm descriptions they submit...
-
The recent developments in Deep Learning Generative methods provided significant new and developing assets in Technology Enhanced Learning, with the production of conversational agents able to sustain a dialogue with the learner, and answer direct questions about the topic to learn. The possibility...
-
We present TutorChat, an intelligent chatbot conceived to be able support search and synthesis of information during a learning task accomplishment, in particular for dyslexic students. TutorChat is based on ChatGPT; it is able to support question/answer inter-activity of learners, and to generate...
-
We explore the classification and assessment capabilities of a selection of Open Source Small Language Models, on the specific task of evaluating learners' Descriptions of Algorithms. The algorithms are described in the framework of programming assignments, to which the learners in a class of...