From the 1 of 6 linked papers with an AI index.
6 papers
A Tensor Network Framework for Interpretable Graph Analysis of Brain Networks
Domenico Pomarico, Giuseppe Magnifico, Alessandro Grecucci +10
Identifying robust neurobiological signatures of brain disorders requires machine learning approaches that combine predictive performance with interpretable representations of feat…
MyMentorLLM: A psychotherapy GenAI environment with multimodal voice/text patients, trainees and experts for deliberate practice
Rodolfo Rizzi, Alessandro Grecucci, Massimo Stella
The paper presents MyMentorLLM, a multimodal voice and text simulation environment for CBT psychotherapy training that generates thousands of simulated therapy sessions involving p…
Introducing multiplex semantic networks as multifaceted representations of creative associative knowledge across multilingual samples
Edith Haim, Kurt Haim, Roger E. Beaty +2
Creativity is a complex cognitive ability that relies on knowledge organisation and retrieval from semantic memory. Yet most research uses a single task to measure it, capturing on…
Cognitive networks reconstruct mindsets about STEM subjects and educational contexts in almost 1000 high-schoolers, University students and LLM-based digital twins
Francesco Gariboldi, Emma Franchino, Edith Haim +3
Attitudes toward STEM develop from the interaction of conceptual knowledge, educational experiences, and affect. Here we use cognitive network science to reconstruct group mindsets…
Complex networks map test anxiety and wellbeing levels in students and ChatGPT
Emma Franchino, Francesco Gariboldi, Alessandro Grecucci +2
Academic STEM evaluation can elicit anxiety, yet routine grading rarely captures how students semantically frame exams and wellbeing. We reconstruct these framings using behavioura…
Textual forma mentis networks bridge language structure, emotional content and psychopathology levels in adolescents
Alexis Carrillo, Simon Friedrich Roske, Rebeca Ianov-Vitanov +3
We introduce a network-based AI framework for predicting dimensions of psychopathology in adolescents using natural language. We focused on data capturing psychometric scores of so…