Artículos de conferencia
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Browsing Artículos de conferencia by browse.metadata.fuente "WOS"
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- Item2-methoxiestradiol induces apoptosis in gynecologic cancer cells but not in normal cell lines established from reproductive tissues.(ELSEVIER SCIENCE INC, 2006) Cuello, MA; Kato, S; Sadarangani, A; Espinoza, N; Lange, S; Villalon, M; Owen, G
- Item3-Epi-25 Serum 25-Hydroxyvitamin D3 Concentrations in Chilean Children Between 5 and 8 Years(KARGER, 2018) Arancibia, Monica; Seiltgens, Cristian; Poggi, Helena; Allende, Fidel; Solari, Sandra; Peredo, Soledad; Trincado, Claudia; Garcia, Hernan; Moore, Rosario; Dapremont, Ivonne; Andrade, Daniela; Sifaqui, Sofia; Ossa, Jt; Campino, Carmen; Carvajal, Cristian; Fardella, Carlos; Baudrand, Rene; Sanchez, Ximena; Martinez Aguayo, Alejandro
- ItemA characterization of cancer vasculogenic mimicry: Extracellular matrix induced cellular signaling to lumen formation.(AMER ASSOC CANCER RESEARCH, 2021) Mingo, Gabriel; Valdivia, Andres; Aldana, Varina; Pradenas, Javiera; Babbitt, Nicole; Gonzalez, Pamela; Nualart, Francisco; Diaz, Jorge; Leyton, Lisette; Bertocchi, Cristina; Owen, Gareth
- ItemA Deletion Encompassing Exon 2 of the ALS Gene: Analysis of a Patient with ALS Deficiency and His Family(KARGER, 2018) Poggi, Helena; Arancibia, Monica; Benavides, Felipe; Lagos, Carlos; Vecchiola, Andrea; Dominguez Menendez, Gonzalo; Martinez Aguayo, Alejandro
- ItemA physical chemistry theory of synergism on ciliated cell motility(BIOPHYSICAL SOCIETY, 2002) Barrera, N; Morales, B; Villalon, M
- ItemA Protective Ventilation Approach Results in Reverse Triggering Dyssynchrony in an Experimental Model of Acute Lung Injury(AMER THORACIC SOC, 2020) Damiani, F.; Engelberts, D.; Bastia, L.; Osada, K.; Katira, B. H.; Otulakowski, G.; Goligher, E. C.; Reid, W.; Bruhn, A.; Brochard, L. J.
- ItemAcceptable Range of Inspiratory Effort During Mechanical Ventilation: The Effort Study(AMER THORACIC SOC, 2019) Telias, I. G.; Sklar, M. C.; Junhasavasdikul, D.; Pham, T.; Grieco, D.; Dres, M.; Damiani, F.; Piraino, T.; Melo, L.; Artigas, R. Mellado; Kim, A.; Madorno, M.; Gu, J.; Mazer, C.; Goligher, E. C.; Brochard, L. J.
- ItemAchievement of treatment targets of cardiovascular risk factors in a pilot secondary prevention program in Chile(2008) Acevedo, M.; Kraemer, V.; Chamorro, G.; Krogh, G.; Munoz, A.; Corbalan, R.
- ItemActivation of Transcriptional Response Elements of Endoplasmic Reticulum Stress in Human Umbilical Vein Endothelial Cells from Maternal Obesity.(SAGE PUBLICATIONS INC, 2016) Pizarro, Carolina; Villalobos Labra, Roberto; Westermeier, Francisco; Saez, Pablo; Sobrevia, Luis; Farias Jofre, Marcelo
- ItemAging and post-operative atrial fibrillation: the role of atrial function(OXFORD UNIV PRESS, 2012) Gabrielli, L.; Verdejo, H.; Garcia, L.; Marin, A.; Zalaquet, R.; Corbalan, R.
- ItemAMBIENT FINE PARTICULATE MATTER IS ASSOCIATED WITH RISK OF HOSPITALIZATION FOR ACUTE DECOMPENSATED HEART FAILURE AMONG PATIENTS WITH DEPRESSED LEFT VENTRICULAR EJECTION FRACTION(ELSEVIER SCIENCE INC, 2011) Castro, Pablo; Verdejo, Hugo; Vera, Jeantte; Cifuentes, Luis; Concepcion, Roberto; Seplveda, Luis; Vukasovic, Jose Luis; Wellenius, Gregory
- ItemAn Empirical Analysis of Rumor Detection on Microblogs with Recurrent Neural Networks(SPRINGER INTERNATIONAL PUBLISHING AG, 2019) Bugueno, Margarita; Sepulveda Villalobos Gabriel Andres; Mendoza Rocha Marcelo Gabriel; Meiselwitz, GThe popularity of microblogging websites makes them important for information dissemination. The diffusion of large volumes of fake or unverified information could emerge and spread producing damage. Due to the ever-increasing volume of data and the nature of complex diffusion, automatic rumor detection is a very challenging task. Supervised classification and other approaches have been widely used to identify rumors in social media posts. However, despite achieving competitive results, only a few studies have delved into the nature of the problem itself in order to identify key empirical factors that allow defining both the baseline models and their performance. In this work, we learn discriminative features from tweets content and propagation trees by following their sequential propagation structure. To do this we study the performance of a number of architectures based on recursive neural networks conditioning for rumor detection. In addition, to ingest tweets into each network, we study the effect of two different word embeddings schemes: Glove and Google news skip-grams. Results on the Twitter16 dataset show that model performance depends on many empirical factors and that some specific experimental configurations consistently drive to better results.
- ItemAn estradiol metabolite accelerates ovum transport in cyclic rats through non-genomic pathways(W B SAUNDERS CO LTD, 2006) Ambriz, GD; Parada Bustamante, A; Orihuela, PA; Ortiz, ME; Villalon, MJ; Croxatto, HB
- ItemAn extension of SPARQL for RDFS(SPRINGER-VERLAG BERLIN, 2008) Arenas, Marcelo; Gutierrez, Claudio; Perez, Jorge; Christophides, V; Collard, M; Gutierrez, CRDF Schema (RDFS) extends RDF with a schema vocabulary with a predefined semantics. Evaluating queries which involve this vocabulary is challenging, and there is not yet consensus in the Semantic Web community on how to define a query language for RDFS. In this paper, we introduce a language for querying RDFS data. This language is obtained by extending SPARQL with nested regular expressions that allow to navigate through an RDF graph with RDFS vocabulary. This language is expressive enough to answer SPARQL queries involving RDFS vocabulary, by directly traversing the input graph.
- ItemArachidonic acid is a mediator of the increase on ciliary activity induced by PAF in hamster oviductal epithelium.(SOC STUDY REPRODUCTION, 2001) Villalon, MJ; Barrera, N
- ItemArsenic-related cancer mortality in Northern Chile, 1989-98(LIPPINCOTT WILLIAMS & WILKINS, 2004) Bates, M; Marshall, G; Ferreccio, C; Smith, A
- ItemAssociation of left atrial strain and strain rate assessed by speckle tracking with post coronary artery by-pass grafting atrial fibrillation(OXFORD UNIV PRESS, 2010) Gabrielli, L.; Cordova, S.; Mac Nab, P.; Godoy, I.; Verdejo, H.; Villa, F.; Corbalan, R.; Aguilar, R.
- ItemATP-Dependent Biomechanical Properties of Ciliated and Non-Ciliated Cells Measured by Atomic Force Microscopy(CELL PRESS, 2016) Droguett, Karla; Navarrete, Camilo; Fuentes, Christian; Rios, Mariana; Villalon, Manuel; Barrera, Nelson
- ItemAugmenting BERT-style Models with Predictive Coding to Improve Discourse-level Representations(ASSOC COMPUTATIONAL LINGUISTICS-ACL, 2021) Araujo Vasquez, Vladimir Giovanny; Villa, Andres; Mendoza Rocha, Marcelo Gabriel; Moens, Marie-Francine; Soto, AlvaroCurrent language models are usually trained using a self-supervised scheme, where the main focus is learning representations at the word or sentence level. However, there has been limited progress in generating useful discourse-level representations. In this work, we propose to use ideas from predictive coding theory to augment BERT-style language models with a mechanism that allows them to learn suitable discourse-level representations. As a result, our proposed approach is able to predict future sentences using explicit top-down connections that operate at the intermediate layers of the network. By experimenting with benchmarks designed to evaluate discourse-related knowledge using pre-trained sentence representations, we demonstrate that our approach improves performance in 6 out of 11 tasks by excelling in discourse relationship detection.
- ItemAUTOIMMUNE ENCEPHALITIS WITH SEVERE CATATONIA AND THYROTOXICOSIS(BMJ PUBLISHING GROUP, 2019) Conejero, Maria; Thomsen, Oliva; Bronstein, Jonathan