Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Mathis, Roland"'
Autor:
Sekulić, Ivan, Terragni, Silvia, Guimarães, Victor, Khau, Nghia, Guedes, Bruna, Filipavicius, Modestas, Manso, André Ferreira, Mathis, Roland
In the realm of dialogue systems, user simulation techniques have emerged as a game-changer, redefining the evaluation and enhancement of task-oriented dialogue (TOD) systems. These methods are crucial for replicating real user interactions, enabling
Externí odkaz:
http://arxiv.org/abs/2402.13374
Autor:
Terragni, Silvia, Filipavicius, Modestas, Khau, Nghia, Guedes, Bruna, Manso, André, Mathis, Roland
This paper presents a novel application of large language models in user simulation for task-oriented dialog systems, specifically focusing on an in-context learning approach. By harnessing the power of these models, the proposed approach generates d
Externí odkaz:
http://arxiv.org/abs/2306.00774
We present the Network-based Biased Tree Ensembles (NetBiTE) method for drug sensitivity prediction and drug sensitivity biomarker identification in cancer using a combination of prior knowledge and gene expression data. Our devised method consists o
Externí odkaz:
http://arxiv.org/abs/1808.06603
Publikováno v:
npj Systems Biology and Applications (2019)
Reliable identification of molecular biomarkers is essential for accurate patient stratification. While state-of-the-art machine learning approaches for sample classification continue to push boundaries in terms of performance, most of these methods
Externí odkaz:
http://arxiv.org/abs/1803.11274
Publikováno v:
Nature Machine Intelligence (2019)
In recent years, the number of biomedical publications has steadfastly grown, resulting in a rich source of untapped new knowledge. Most biomedical facts are however not readily available, but buried in the form of unstructured text, and hence their
Externí odkaz:
http://arxiv.org/abs/1801.03011
Autor:
Manica, Matteo, Kim, Hyunjae Ryan, Mathis, Roland, Chouvarine, Philippe, Rutishauser, Dorothea, Roditi, Laura De Vargas, Szalai, Bence, Wagner, Ulrich, Oehl, Kathrin, Saba, Karim, Pati, Arati, Saez-Rodriguez, Julio, Roy, Angshumoy, Parsons, Donald W., Wild, Peter J., Martínez, María Rodríguez, Sumazin, Pavel
Explicit accounting for copy number alterations can dramatically improve mutation frequency estimates, leading to more accurate phylogeny reconstructions and subclone characterizations.
Externí odkaz:
http://arxiv.org/abs/1701.07940
Autor:
Gallo, Manuel Le, Sebastian, Abu, Mathis, Roland, Manica, Matteo, Giefers, Heiner, Tuma, Tomas, Bekas, Costas, Curioni, Alessandro, Eleftheriou, Evangelos
Publikováno v:
Nature Electronics volume 1, pages 246-253 (2018)
As CMOS scaling reaches its technological limits, a radical departure from traditional von Neumann systems, which involve separate processing and memory units, is needed in order to significantly extend the performance of today's computers. In-memory
Externí odkaz:
http://arxiv.org/abs/1701.04279
Autor:
Mathis, Roland, Ackermann, Martin
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2016 Apr 01. 113(15), 4224-4229.
Externí odkaz:
https://www.jstor.org/stable/26469284
Autor:
Mathis, Roland, Remond, Yves
Publikováno v:
In Mechanism and Machine Theory 2009 44(2):412-424
Akademický článek
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