Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Christopher, Dubois"'
Autor:
Xavier Palazzi, Ingrid D. Pardo, Madhu P. Sirivelu, Leah Newman, Steven W. Kumpf, Jessie Qian, Tania Franks, Sarah Lopes, June Liu, Laura Monarski, Sandra Casinghino, Casey Ritenour, Hayley Ritenour, Christopher Dubois, Jennifer Olson, John Graves, Kristin E. Alexander, Timothy Coskran, Thomas A. Lanz, Joseph Brady, Douglas McCarty, Somanathan Suryanarayan, Laurence O. Whiteley
Publikováno v:
Human Gene Therapy. 33:175-187
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 5:137-144
Two-mode networks are a natural representation for many kinds of relational data. These networks are bipartite graphs consisting of two distinct sets ("modes") of entities. For example, one can model multiple recipient email data as a two-mode networ
Autor:
Xavier, Palazzi, Ingrid D, Pardo, Madhu P, Sirivelu, Leah, Newman, Steven W, Kumpf, Jessie, Qian, Tania, Franks, Sarah, Lopes, June, Liu, Laura, Monarski, Sandra, Casinghino, Casey, Ritenour, Hayley, Ritenour, Christopher, Dubois, Jennifer, Olson, John, Graves, Kristin E, Alexander, Timothy, Coskran, Thomas A, Lanz, Joseph, Brady, Douglas, McCarty, Somanathan, Suryanarayan, Laurence O, Whiteley
Publikováno v:
Human gene therapy. 33(3-4)
Recombinant adeno-associated viruses (AAVs) have emerged as promising vectors for human gene therapy, but some variants have induced severe toxicity in Rhesus monkeys and piglets following high-dose intravenous (IV) administration. To characterize bi
Publikováno v:
NAACL-HLT
Recent work (Feng et al., 2018) establishes the presence of short, uninterpretable input fragments that yield high confidence and accuracy in neural models. We refer to these as Minimal Prediction Preserving Inputs (MPPIs). In the context of question
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd088326bdfdd203a747339ad4581437
http://arxiv.org/abs/2009.08070
http://arxiv.org/abs/2009.08070
Publikováno v:
CHI
Analyzing queries from search engines and intelligent assistants is difficult. A key challenge is organizing queries into interpretable, context-preserving, representative, and flexible groups. We present structural templates, abstract queries that r
Publikováno v:
EMNLP (Findings)
Task-agnostic forms of data augmentation have proven widely effective in computer vision, even on pretrained models. In NLP similar results are reported most commonly for low data regimes, non-pretrained models, or situationally for pretrained models
Publikováno v:
MRQA@EMNLP
To produce a domain-agnostic question answering model for the Machine Reading Question Answering (MRQA) 2019 Shared Task, we investigate the relative benefits of large pre-trained language models, various data sampling strategies, as well as query an
Autor:
Bart Van der Schueren, Peter Sinnaeve, Christopher Dubois, Ward Heggermont, Maarten Vanhaverbeke, Tom Vydt, Walter Desmet, Lut Overbergh, Gabor Voros, Chantal Mathieu, Pham Anh Hong Nguyen
Publikováno v:
Acta Cardiologica. 70:640-646
The obesity-related hormones leptin and adiponectin are independently and oppositely associated with insulin resistance, which is an important risk factor for coronary artery disease (CAD) and restenosis after coronary intervention. In this report, w
Publikováno v:
Machine Learning. 92:431-455
As digital communication devices play an increasingly prominent role in our daily lives, the ability to analyze and understand our communication patterns becomes more important. In this paper, we investigate a latent variable modeling approach for ex
Publikováno v:
WSDM
Most real-world recommender services measure their performance based on the top-N results shown to the end users. Thus, advances in top-N recommendation have far-ranging consequences in practical applications. In this paper, we present a novel method