Zobrazeno 1 - 10
of 915
pro vyhledávání: '"Baralis, A"'
Publikováno v:
Materiale și Cercetări Arheologice, Vol 16, Pp 135-138 (2020)
The first chemical results already obtained on representative finds of red-figured vases from Apollonia decorated in the Kerch style have revealed a non-Attic chemical pattern, thus clearly pointing to the fact that Athens had no monopoly in the manu
Externí odkaz:
https://doaj.org/article/26b30d5c7d6445388679ea0fafed2c59
Concept drift is a common phenomenon in data streams where the statistical properties of the target variable change over time. Traditionally, drift is assumed to occur globally, affecting the entire dataset uniformly. However, this assumption does no
Externí odkaz:
http://arxiv.org/abs/2408.14687
The ability to detect and adapt to changes in data distributions is crucial to maintain the accuracy and reliability of machine learning models. Detection is generally approached by observing the drift of model performance from a global point of view
Externí odkaz:
http://arxiv.org/abs/2408.14682
Autor:
Cambrin, Daniele Rege, Poeta, Eleonora, Pastor, Eliana, Cerquitelli, Tania, Baralis, Elena, Garza, Paolo
Segmentation of crop fields is essential for enhancing agricultural productivity, monitoring crop health, and promoting sustainable practices. Deep learning models adopted for this task must ensure accurate and reliable predictions to avoid economic
Externí odkaz:
http://arxiv.org/abs/2408.07040
Italy exhibits rich linguistic diversity across its territory due to the distinct regional languages spoken in different areas. Recent advances in self-supervised learning provide new opportunities to analyze Italy's linguistic varieties using speech
Externí odkaz:
http://arxiv.org/abs/2406.15862
Autor:
Koudounas, Alkis, Ciravegna, Gabriele, Fantini, Marco, Succo, Giovanni, Crosetti, Erika, Cerquitelli, Tania, Baralis, Elena
Publikováno v:
Proc. Interspeech 2024, 3040-3044
Voice disorders are pathologies significantly affecting patient quality of life. However, non-invasive automated diagnosis of these pathologies is still under-explored, due to both a shortage of pathological voice data, and diversity of the recording
Externí odkaz:
http://arxiv.org/abs/2406.14693
Publikováno v:
Proc. Interspeech 2024, 827-831
Speech models may be affected by performance imbalance in different population subgroups, raising concerns about fair treatment across these groups. Prior attempts to mitigate unfairness either focus on user-defined subgroups, potentially overlooking
Externí odkaz:
http://arxiv.org/abs/2406.14686
Kolmogorov-Arnold Networks (KANs) have very recently been introduced into the world of machine learning, quickly capturing the attention of the entire community. However, KANs have mostly been tested for approximating complex functions or processing
Externí odkaz:
http://arxiv.org/abs/2406.14529
Autor:
La Quatra, Moreno, Koudounas, Alkis, Vaiani, Lorenzo, Baralis, Elena, Cagliero, Luca, Garza, Paolo, Siniscalchi, Sabato Marco
Limited diversity in standardized benchmarks for evaluating audio representation learning (ARL) methods may hinder systematic comparison of current methods' capabilities. We present ARCH, a comprehensive benchmark for evaluating ARL methods on divers
Externí odkaz:
http://arxiv.org/abs/2405.00934
The field of explainable artificial intelligence emerged in response to the growing need for more transparent and reliable models. However, using raw features to provide explanations has been disputed in several works lately, advocating for more user
Externí odkaz:
http://arxiv.org/abs/2312.12936