Results 81 to 90 of about 6,040,759 (312)

Character-level Convolutional Networks for Text Classification [PDF]

, 2015
This article offers an empirical exploration on the use of character-level convolutional networks (ConvNets) for text classification. We constructed several large-scale datasets to show that character-level convolutional networks could achieve state-of ...
LeCun, Yann, Zhang, Xiang, Zhao, Junbo
core   +1 more source

Patient‐specific pharmacogenomics demonstrates xCT as predictive therapeutic target in colon cancer with possible implications in tumor connectivity

Molecular Oncology, EarlyView.
This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker, Keren Zohar, Martin Böttcher, Thomas Wartmann, Henry Freudenstein, Maximilian Doelling, Mihailo Andric, Wenjie Shi, Or Kakhlon, Katrin Hippe, Beatrix Jahnke, Dimitrios Mougiakakos, Franziska Baenke, Daniel Stange, Roland S. Croner, Michal Linial, Ulf D. Kahlert   +16 more
wiley   +1 more source

Deep Short Text Classification with Knowledge Powered Attention

, 2019
Short text classification is one of important tasks in Natural Language Processing (NLP). Unlike paragraphs or documents, short texts are more ambiguous since they have not enough contextual information, which poses a great challenge for classification ...
Chen, Jindong, Hu, Yizhou, Jiang, Haiyun, Liu, Jingping, Xiao, Yanghua   +4 more
core   +1 more source

Classification of Text, Automatic [PDF]

, 2006
Automatic text classification (ATC) is a discipline at the crossroads of information retrieval (IR), machine learning (ML), and computational linguistics (CL), and consists in the realization of text classifiers, i.e. software systems capable of assigning texts to one or more categories, or classes, from a predefined set.
openaire   +3 more sources

Automated big text security classification [PDF]

2016 IEEE Conference on Intelligence and Security Informatics (ISI), 2016
Pre-print of Best Paper Award IEEE Intelligence and Security Informatics (ISI) 2016 ...
Alzhrani, Khudran, Rudd, Ethan M., Boult, Terrance E., Chow, C. Edward   +3 more
openaire   +2 more sources

Feasibility of a ctDNA multigenic panel for non‐small‐cell lung cancer early detection and disease surveillance

Molecular Oncology, EarlyView.
Plasma‐based detection of actionable mutations is a promising approach in lung cancer management. Analysis of ctDNA with a multigene NGS panel identified TP53, KRAS, and EGFR as the most frequently altered, with TP53 and KRAS in treatment‐naïve patients and TP53 and EGFR in previously treated patients.
Giovanna Maria Stanfoca Casagrande, Marcela de Oliveira Silva, Mariana Bisarro dos Reis, Rodrigo de Oliveira Cavagna, Luciane Sussuchi, Icaro Alves Pinto, Natalia Zampieri Pontes, Rodrigo Sampaio Chiarantano, Flavio Augusto Ferreira da Silva, Pedro de Marchi, Letícia Ferro Leal, Rui M. Reis   +11 more
wiley   +1 more source

Research on the internal influence factors of the text multi-classification problem

MATEC Web of Conferences, 2018
This paper mainly deals with the classification of text type data. The statistics show that more than 8000 articles have been reached in all kinds of documents retrieved by the optical network. However, there are few papers on the factors that affect the
Mingqiang Wu, Chang Furong, Zhang Kui
doaj   +1 more source

HotFlip: White-Box Adversarial Examples for Text Classification

, 2018
We propose an efficient method to generate white-box adversarial examples to trick a character-level neural classifier. We find that only a few manipulations are needed to greatly decrease the accuracy.
Dou, Dejing, Ebrahimi, Javid, Lowd, Daniel, Rao, Anyi   +3 more
core   +1 more source

Automated classification of text sentiment [PDF]

Proceedings of the South African Institute of Computer Scientists and Information Technologists, 2017
In "2017 Annual Conference of the South African Institute of Computer Scientists and Information"
Dufourq, Emmanuel, Bassett, Bruce A.
openaire   +2 more sources

Reduced vascular leakage correlates with breast carcinoma T regulatory cell infiltration but not with metastatic propensity

Molecular Oncology, EarlyView.
A mouse model for vascular normalization and a human breast cancer cohort were studied to understand the relationship between vascular leakage and tumor immune suppression. For this, endothelial and immune cell RNAseq, staining for vascular function, and immune cell profiling were employed.
Liqun He, Chiara Testini, Neda Hekmati, Altea Bonello, Aglaia Schiza, Emmanuel Nwadozi, Mia Phillipson, Carina Strell, Michael Welsh   +8 more
wiley   +1 more source