Zobrazeno 1 - 10
of 413
pro vyhledávání: '"Yovine, A."'
Autor:
Carrasco, Matías, Mayr, Franz, Yovine, Sergio, Kidd, Johny, Iturbide, Martín, da Silva, Juan Pedro, Garat, Alejo
We define a congruence that copes with null next-symbol probabilities that arise when the output of a language model is constrained by some means during text generation. We develop an algorithm for efficiently learning the quotient with respect to th
Externí odkaz:
http://arxiv.org/abs/2406.08269
We propose a new active learning algorithm for PDFA based on three main aspects: a congruence over states which takes into account next-symbol probability distributions, a quantization that copes with differences in distributions, and an efficient tr
Externí odkaz:
http://arxiv.org/abs/2206.09004
Autor:
Dae Ho Lee, Hye Ryun Kim, Bhumsuk Keam, Ken Kato, Yasutoshi Kuboki, Haiyan Gao, Alejandro Yovine, Scott H. Robbins, Myung‐Ju Ahn
Publikováno v:
Cancer Medicine, Vol 12, Iss 15, Pp 16066-16075 (2023)
Abstract Background Advanced or metastatic esophageal squamous cell carcinoma (ESCC) is associated with poor prognosis; new first‐line systemic treatment options are needed. Combining immuno‐oncology therapies with standard chemotherapy may repre
Externí odkaz:
https://doaj.org/article/3fc7742bfbf64ff8a02140d2ee8764c4
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 3, Iss 4, Pp 788-801 (2021)
This paper explores the use of Private Aggregation of Teacher Ensembles (PATE) in a setting where students have their own private data that cannot be revealed as is to the ensemble. We propose a privacy model that introduces a local differentially pr
Externí odkaz:
https://doaj.org/article/eca18f06822b44b4802590d3e25db122
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 3, Iss 1, Pp 205-227 (2021)
This paper presents a novel on-the-fly, black-box, property-checking through learning approach as a means for verifying requirements of recurrent neural networks (RNN) in the context of sequence classification. Our technique steps on a tool for learn
Externí odkaz:
https://doaj.org/article/f3cd2620918a4440bacc9aaa680819e5
Autor:
Psyrri, A., Fayette, J., Harrington, K., Gillison, M., Ahn, M.-J., Takahashi, S., Weiss, J., Machiels, J.-P., Baxi, S., Vasilyev, A., Karpenko, A., Dvorkin, M., Hsieh, C.-Y., Thungappa, S.C., Segura, P.P., Vynnychenko, I., Haddad, R., Kasper, Stefan, Mauz, P.-S., Baker, V., He, P., Evans, B., Wildsmith, S., Olsson, R.F., Yovine, A., Kurland, J.F., Morsli, N., Seiwert, T.Y.
Publikováno v:
Annals of Oncology, Vol. 34, no.3, p. 262-274 (2023)
Background: Patients with recurrent or metastatic head and neck squamous cell carcinoma (R/M HNSCC) have a poor prognosis. The phase III KESTREL study evaluated the efficacy of durvalumab [programmed death-ligand 1 (PD-L1) antibody] with or without t
Akademický článek
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Akademický článek
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Autor:
Sophie Wildsmith, Weimin Li, Song Wu, Ross Stewart, Nassim Morsli, Rajiv Raja, Qu Zhang, Jiabu Ye, Philip He, Jagdish Shetty, Alejandro Yovine, Nicholas Holoweckyj, Katia Real, Jill Walker, Magdalena Wrona, Melissa de los Reyes, Craig Barker, Jessica Whiteley, Robert Haddad, Lisa Licitra, Robert Ferris, Jérôme Fayette, Dan P. Zandberg, Lillian L. Siu, Ricard Mesía
Publikováno v:
Clinical Cancer Research. 29:2066-2074
Purpose: Biomarkers that predict response to immune checkpoint inhibitors (ICI) in recurrent or metastatic head and neck squamous cell carcinoma (R/M HNSCC) are needed. This retrospective study assessed tumor mutational burden (TMB) and outcomes in t
Autor:
Rosalinda Arends, Xiang Guo, Paul G. Baverel, Ignacio González-García, James Xie, Nassim Morsli, Alejandro Yovine, Lorin K. Roskos
Publikováno v:
OncoImmunology, Vol 10, Iss 1 (2021)
The potential for durvalumab, a programmed cell death ligand-1 (PD-L1)-blocking monoclonal antibody, to treat head and neck squamous cell carcinoma (HNSCC) is being evaluated in multiple clinical trials. We assessed circulating proteins at baseline t
Externí odkaz:
https://doaj.org/article/d1da9b630d8e4d918460f1a380d61eb4