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pro vyhledávání: '"Deriu A"'
Automated metrics for Machine Translation have made significant progress, with the goal of replacing expensive and time-consuming human evaluations. These metrics are typically assessed by their correlation with human judgments, which captures the mo
Externí odkaz:
http://arxiv.org/abs/2412.03152
Autor:
Sager, Pascal J., Deriu, Jan M., Grewe, Benjamin F., Stadelmann, Thilo, von der Malsburg, Christoph
Nets, cooperative networks of neurons, have been proposed as format for the representation of sensory signals, as physical implementation of the Gestalt phenomenon and as solution to the neural binding problem, while the direct interaction between ne
Externí odkaz:
http://arxiv.org/abs/2407.05650
This work aims to develop explainable models to predict the interactions between bitter molecules and TAS2Rs via traditional machine-learning and deep-learning methods starting from experimentally validated data. Bitterness is one of the five basic t
Externí odkaz:
http://arxiv.org/abs/2406.15039
Autor:
Michot, Janick, Hürlimann, Manuela, Deriu, Jan, Sauer, Luzia, Mlynchyk, Katsiaryna, Cieliebak, Mark
One of the central skills that language learners need to practice is speaking the language. Currently, students in school do not get enough speaking opportunities and lack conversational practice. Recent advances in speech technology and natural lang
Externí odkaz:
http://arxiv.org/abs/2406.03235
Generative AI systems have become ubiquitous for all kinds of modalities, which makes the issue of the evaluation of such models more pressing. One popular approach is preference ratings, where the generated outputs of different systems are shown to
Externí odkaz:
http://arxiv.org/abs/2406.01131
Autor:
Maroni, Gabriele, Stojceski, Filip, Pallante, Lorenzo, Deriu, Marco A., Piga, Dario, Grasso, Gianvito
Cell-penetrating peptides (CPPs) are powerful vectors for the intracellular delivery of a diverse array of therapeutic molecules. Despite their potential, the rational design of CPPs remains a challenging task that often requires extensive experiment
Externí odkaz:
http://arxiv.org/abs/2406.01617
Autor:
Ravagnani, Adele, Lillo, Fabrizio, Deriu, Paola, Mazzarisi, Piero, Medda, Francesca, Russo, Antonio
Identification of market abuse is an extremely complicated activity that requires the analysis of large and complex datasets. We propose an unsupervised machine learning method for contextual anomaly detection, which allows to support market surveill
Externí odkaz:
http://arxiv.org/abs/2403.00707
Autor:
Paonessa, Claudio, Schraner, Yanick, Deriu, Jan, Hürlimann, Manuela, Vogel, Manfred, Cieliebak, Mark
This paper investigates the challenges in building Swiss German speech translation systems, specifically focusing on the impact of dialect diversity and differences between Swiss German and Standard German. Swiss German is a spoken language with no f
Externí odkaz:
http://arxiv.org/abs/2310.09088
Autor:
Zhang, Yi, Deriu, Jan, Katsogiannis-Meimarakis, George, Kosten, Catherine, Koutrika, Georgia, Stockinger, Kurt
Publikováno v:
PVLDB Volume 17, 2023-2024
Natural Language to SQL systems (NL-to-SQL) have recently shown a significant increase in accuracy for natural language to SQL query translation. This improvement is due to the emergence of transformer-based language models, and the popularity of the
Externí odkaz:
http://arxiv.org/abs/2306.04743
A major challenge in the field of Text Generation is evaluation: Human evaluations are cost-intensive, and automated metrics often display considerable disagreement with human judgments. In this paper, we propose a statistical model of Text Generatio
Externí odkaz:
http://arxiv.org/abs/2306.03866