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Suicide Note Classification Using Natural Language Processing: A Content Analysis

John P Pestian, Henry A. Nasrallah, Paweł Matykiewicz, Aurora J. Bennett et al. • Biomedical Informatics Insights (2010)

Suicide is the second leading cause of death among 25-34 year olds and the third leading cause of death among 15-25 year olds in the United States. In the Emergency Department, where suicidal patients often present, estimating the risk of r...

OPENALEX cc-by-nc DOI: https://doi.org/10.4137/bii.s4706 PMC: 3107011

A survey of graphs in natural language processing

Vivi Năstase, Rada F. Mihalcea, Dragomir Radev • Natural Language Engineering (2015)

Abstract Graphs are a powerful representation formalism that can be applied to a variety of aspects related to language processing. We provide an overview of how Natural Language Processing problems have been projected into the graph framew...

OPENALEX Open Access DOI: https://doi.org/10.1017/s1351324915000340

NATURAL LANGUAGE PROCESSING

V Ranjit, Suchitra Naik • International Journal of Computing Algorithm (2023)

A branch of computer science and AI called natural language processing is focused on how computers and human languages interact.In order for computers to interpret written and spoken human language without the use of computer-driven languag...

OPENALEX DOI: https://doi.org/10.20894/ijcoa.101.012.002.001

New trends in natural language processing: statistical natural language processing.

Mitchell P. Marcus • Proceedings of the National Academy of Sciences (1995)

The field of natural language processing (NLP) has seen a dramatic shift in both research direction and methodology in the past several years. In the past, most work in computational linguistics tended to focus on purely symbolic methods. R...

OPENALEX Open Access DOI: https://doi.org/10.1073/pnas.92.22.10052 PMC: 40734

Arabic natural language processing: An overview

Imane Guellil, Houda Saâdane, Faiçal Azouaou, Billel Gueni et al. • Journal of King Saud University - Computer and Information Sciences (2019)

Arabic is recognised as the 4th most used language of the Internet. Arabic has three main varieties: (1) classical Arabic (CA), (2) Modern Standard Arabic (MSA), (3) Arabic Dialect (AD). MSA and AD could be written either in Arabic or in Ro...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.jksuci.2019.02.006

Circuit Complexity and Neural Networks

Ian Parberry, Michael R. Garey, Albert R. Meyer • The MIT Press eBooks (1994)

Neural networks usually work adequately on small problems but can run into trouble when they are scaled up to problems involving large amounts of input data. Circuit Complexity and Neural Networks addresses the important question of how wel...

OPENALEX DOI: https://doi.org/10.7551/mitpress/1836.001.0001

A Survey on Neural Network Interpretability

Yu Zhang, Peter Tiňo B, Aleš Leonardis, Ke Tang • IEEE Transactions on Emerging Topics in Computational Intelligence (2021)

Along with the great success of deep neural networks, there is also growing concern about their black-box nature. The interpretability issue affects people's trust on deep learning systems. It is also related to many ethical problems, e.g.,...

OPENALEX Open Access DOI: https://doi.org/10.1109/tetci.2021.3100641

A renaissance of neural networks in drug discovery

Igor I. Baskin, David Alan Winkler, Igor V. Tetko • Expert Opinion on Drug Discovery (2016)

INTRODUCTION: Neural networks are becoming a very popular method for solving machine learning and artificial intelligence problems. The variety of neural network types and their application to drug discovery requires expert knowledge to cho...

OPENALEX DOI: https://doi.org/10.1080/17460441.2016.1201262

Neural networks in ocean engineering

Pooja Jain, Makarand Chintamani Deo • Ships and Offshore Structures (2005)

The soft computing technique of neural network is being extensively used across all disciplines of ocean engineering, namely, offshore, coastal, and deep-ocean engineering including marine engineering. This paper takes a stock of the resear...

OPENALEX DOI: https://doi.org/10.1533/saos.2004.0005

State-of-the-art in artificial neural network applications: A survey

Oludare Isaac Abiodun, Aman Jantan, Abiodun Esther Omolara, Kemi Victoria Dada et al. • Heliyon (2018)

This is a survey of neural network applications in the real-world scenario. It provides a taxonomy of artificial neural networks (ANNs) and furnish the reader with knowledge of current and emerging trends in ANN applications research and ar...

OPENALEX cc-by DOI: https://doi.org/10.1016/j.heliyon.2018.e00938 PMC: 6260436

Prediction Intervals for Artificial Neural Networks

J. T. Gene Hwang, Aidong Adam Ding • Journal of the American Statistical Association (1997)

The artificial neural network (ANN) is becoming a very popular model for engineering and scientific applications. Inspired by brain architecture, artificial neural networks represent a class of nonlinear models capable of learning from data...

OPENALEX DOI: https://doi.org/10.1080/01621459.1997.10474027

NEURAL NETWORK DYNAMICS

Tim P. Vogels, Kanaka Rajan, Larry F. Abbott • Annual Review of Neuroscience (2005)

Neural network modeling is often concerned with stimulus-driven responses, but most of the activity in the brain is internally generated. Here, we review network models of internally generated activity, focusing on three types of network dy...

OPENALEX DOI: https://doi.org/10.1146/annurev.neuro.28.061604.135637

EdgeAIGC: Model caching and resource allocation for edge artificial intelligence generated content

Wu Wen, Yibin Huang, Xinxin Zhao, Peiying Zhang et al. • Digital Communications and Networks (2025)

With the rapid development of generative artificial intelligence technology, the traditional cloud-based centralized model training and inference face significant limitations due to high transmission latency and costs, which restrict user-s...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dcan.2025.07.003

Neuromodulation Effect According to Lesion Location After Dual-Mode Brain Stimulation in Patients with Subacute Stroke: A Preliminary Study

Minji Lee, Wanjoo Park, Eunhee Park, Soon-Jae Kweon et al. • Applied Sciences (2024)

Dual-mode non-invasive brain stimulation using repetitive transcranial magnetic stimulation and transcranial direct current stimulation is known to help neurorehabilitation in patients with stroke. However, this neuromodulation effect may v...

DOAJ Open Access (DOAJ) DOI: 10.3390/app14219636

Layout and Assembly Selection Algorithm for Standard Ring+Turning Ring Shield Tunnel Segments

XIONG Dongdong, YANG Zhao, XU Chao • Chengshi guidao jiaotong yanjiu (2024)

Objective To address the challenges associated with the manual layout and point selection of S+T (standard rings+turning rings (double-sided wedges)) in shield tunnel segments, including high subjectivity, complex calculations, and heavy re...

DOAJ Open Access (DOAJ) DOI: 10.16037/j.1007-869x.2024.10.005

Systematic Mapping Studies in Software Engineering

Kai Petersen, ROBERT H. FELDT, Shahid Mujtaba, Michael Mattsson • Electronic workshops in computing (2008)

BACKGROUND: A software engineering systematic map is a defined method to build a classification scheme and structure a software engineering field of interest. The analysis of results focuses on frequencies of publications for categories wit...

OPENALEX cc-by DOI: https://doi.org/10.14236/ewic/ease2008.8