Maria Letizia Piccini Bianchessi
Biographic Data
| ID | 8963781 |
|---|---|
| NAME | Maria Letizia Piccini Bianchessi |
| GIVEN NAMES | Maria Letizia Piccini |
| FAMILY NAME | Bianchessi |
| SIGNATURE | BIANCHESSI M L P |
| AFFILIATIONS | Istituto Universitario di Studi Superiori di Pavia |
| ORCID | 0009-0005-8116-3358 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
From recursion to incrementality
Large language models grounded on attention-based architectures have outperformed recurrent neural networks (RNNs), like those based on long short-term memory (LSTM) gating systems, in various natural language processing tasks. However, despite optimization, these models (i) require unreasonable training data compared to what children need, (ii) exhibit an inverse relationship between their performance and their linguistic explanatory value, and,…
Linguistic biomarkers of dementia in Italian patients living in Lombardy
Nowadays, dementia poses a major challenge for healthcare services, with consequences on both the economic and the organizational front. The number of people affected by this disease is steadily increasing, and existing pharmacological and psycho-social therapies only aim to slow its progression. Therefore, a timely diagnosis is crucial for early intervention. For this reason, researchers from different disciplines are trying to find the “biomark…
No prominent works on this page.
Linguistic biomarkers of dementia in Italian patients living in Lombardy
Nowadays, dementia poses a major challenge for healthcare services, with consequences on both the economic and the organizational front. The number of people affected by this disease is steadily increasing, and existing pharmacological and psycho-social therapies only aim to slow its progression. Therefore, a timely diagnosis is crucial for early intervention. For this reason, researchers from different disciplines are trying to find the “biomark…
From recursion to incrementality
Large language models grounded on attention-based architectures have outperformed recurrent neural networks (RNNs), like those based on long short-term memory (LSTM) gating systems, in various natural language processing tasks. However, despite optimization, these models (i) require unreasonable training data compared to what children need, (ii) exhibit an inverse relationship between their performance and their linguistic explanatory value, and,…
Artificial Intelligence (1 work) · Artificial neural network (1 work) · Computer Science (1 work) · Dementia (1 work) · Disease (1 work) · Interpreting and Communication in Healthcare (1 work) · Intuition (1 work) · Language Development and Disorders (1 work) · Language model (1 work) · Linguistic analysis (1 work)