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A Hybrid Medical Text Classification Framework: Integrating Attentive Rule Construction and Neural Network

(2021) Xiang Li et al.   NEUROCOMPUTING

A comprehensive analysis of the occurrence of Natech events in the process industry

(2021) Federica Ricci et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

GHS-NET a generic hybridized shallow neural network for multi-label biomedical text classification

(2021) Muhammad Ali Ibrahim et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Process topology convolutional network model for chemical process fault diagnosis

(2021) Deyang Wu et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

A Semantic-Based Classification Approach for an Enhanced Spam Detection

(2020) Nadjate Saidani et al.   COMPUTERS & SECURITY

Multi-task Learning for Aspect Term Extraction and Aspect Sentiment Classification

(2020) Md Shad Akhtar et al.   NEUROCOMPUTING

Hazard analysis: A deep learning and text mining framework for accident prevention

(2020) Botao Zhong et al.   ADVANCED ENGINEERING INFORMATICS

Automatically learning construction injury precursors from text

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Text mining-based construction site accident classification using hybrid supervised machine learning

(2020) Min-Yuan Cheng et al.   AUTOMATION IN CONSTRUCTION

Knowledge acquisition from chemical accident databases using an ontology-based method and natural language processing

(2020) Johannes I. Single et al.   SAFETY SCIENCE

The Delft 1974 and 2019 European Loss Prevention Symposia: Highlights and an impression of process safety evolutionary changes from the 1st to the 16th LPS

(2020) Hans J. Pasman et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Inherent occupational health assessment index for research and development stage of process design

(2020) Wan Ying So et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Review and analysis of supervised machine learning algorithms for hazardous events in drilling operations

(2020) Augustine Uhunoma Osarogiagbon et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

A new approach for arrhythmia classification using deep coded features and LSTM networks

(2019) Ozal Yildirim et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Unsupervised word embeddings capture latent knowledge from materials science literature

(2019) Vahe Tshitoyan et al.   NATURE

Adversarial training based lattice LSTM for Chinese clinical named entity recognition

(2019) Shan Zhao et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Deep Learning for EEG motor imagery classification based on multi-layer CNNs feature fusion

(2019) Syed Umar Amin et al.   Future Generation Computer Systems-The International Journal of eScience

Analysis of physical and cyber security-related events in the chemical and process industry

(2018) Valeria Casson Moreno et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

The future of hazardous chemical safety in China: Opportunities, problems, challenges and tasks

(2018) Bing Wang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

From Frequency to Meaning: Vector Space Models of Semantics

(2018) P. D. Turney et al.   JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

Narrative texts-based anomaly detection using accident report documents: The case of chemical process safety

(2018) Bomi Song et al.   JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES

Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification

(2018) Imon Banerjee et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Method for identifying errors in chemical process development and design base on accidents knowledge

(2015) Kamarizan Kidam et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Lessons learned for process safety management in China

(2014) Jinsong Zhao et al.   JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES

Applying data mining techniques to analyze the causes of major occupational accidents in the petrochemical industry

(2013) Ching-Wu Cheng et al.   JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES

Phototransformation of nitrobenzene in the Songhua River: Kinetics and photoproduct analysis

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