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101

Computation on Encrypted Data Using Dataflow Authentication.
FISCHER, ANDREAS ; FUHRY, BENNY ; KUßMAUL, JÖRN ; et al.
ACM Transactions on Privacy & Security; May2022, Vol. 25 Issue 3, p1-36, 36p

DATA encryption NEURAL computers MEDICAL databases JAVA programming languag... OBJECT-oriented programm...
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102

HCRVD: A Vulnerability Detection System Based on CST-PDG Hierarchical Code Representation Learning.
Zhihui Song ; Jinchen Xu ; Kewei Li ; et al.
Computers, Materials & Continua; 2024, Vol. 79 Issue 3, p4573-4601, 29p

DEEP learning COMPUTER programming edu... PROGRAMMING languages NEURAL codes SOURCE code SYNTAX (Grammar)
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103

CroLSSim: Cross-language software similarity detector using hybrid approach of LSA-based AST-MDrep features and CNN-LSTM model.
Ullah, Farhan ; Naeem, Muhammad Rashid ; Naeem, Hamad ; et al.
International Journal of Intelligent Systems; Sep2022, Vol. 37 Issue 9, p5768-5795, 28p

CONVOLUTIONAL neural net... DEEP learning APPLICATION software PROGRAMMING languages COMPUTER software FEATURE selection
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104

Large-scale and Robust Code Authorship Identification with Deep Feature Learning.
ABUHAMAD, MOHAMMED ; ABUHMED, TAMER ; MOHAISEN, DAVID ; et al.
ACM Transactions on Privacy & Security; Sep2021, Vol. 24 Issue 4, p1-35, 35p

FEATURE extraction SOURCE code PROGRAMMING languages DEEP learning RECURRENT neural network...
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105

Idealizations of a program based on neural networks for concrete strength
Bolognini, Enio José [UNESP]
Repositório Institucional da UNESPUniversidade Estadual PaulistaUNESP.

Concreto Dosagem de Concreto Resistência Software Concrete Concrete dosage …
Dissertation
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106

Identification of plant microRNAs using convolutional neural network.
Yun Zhang ; Jianghua Huang ; Feixiang Xie ; et al.
Frontiers in Plant Science; 2024, p1-9, 9p

CONVOLUTIONAL neural net... PLANT identification MICRORNA GENE expression SOFTWARE development too...
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108

Software Vulnerability Mining and Analysis Based on Deep Learning.
Zhao, Shibin ; Zhu, Junhu ; Peng, Jianshan
Computers, Materials & Continua; 2024, Vol. 80 Issue 2, p3263-3287, 25p

MACHINE learning ARTIFICIAL neural networ... ARTIFICIAL intelligence COMPUTER software develo... COMPUTER security vulner... DEEP learning
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109

Cross-language clone detection by learning over abstract syntax trees
Perez, Daniel ; Chiba, Shigeru
Proceedings of the 16th International Conference on Mining Software Repositories. :518-528

Konferenz
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110

Modelling and trading the London, New York and Frankfurt stock exchanges with a new gene expression programming trader tool.
Karathanasopoulos, Andreas
Intelligent Systems in Accounting, Finance & Management. Jan2017, Vol. 24 Issue 1, p3-11. 9p. 1 Color Photograph, 1 Diagram, 14 Charts.

BUSINESS forecasting STOCK exchanges GENE expression NONLINEAR statistical mo... GENETIC programming
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111

InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees.
Bui, Nghi D. Q. ; Yijun Yu ; Lingxiao Jiang
ICSE: International Conference on Software Engineering; 5/22/2021, p1186-1197, 12p

SUPERVISED learning SOFTWARE engineers COMPUTER science ARTIFICIAL intelligence CONVOLUTIONAL neural net...
Konferenz
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112

Code Localization in Programming Screencasts.
Alahmadi, Mohammad ; Khormi, Abdulkarim ; Parajuli, Biswas ; et al.
Empirical Software Engineering; Mar2020, Vol. 25 Issue 2, p1536-1572, 37p

JAVA programming languag... DOWNLOADING OPTICAL character recogn... SOURCE code DEEP learning
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113

ClassSum: a deep learning model for class-level code summarization.
Li, Mingchen ; Yu, Huiqun ; Fan, Guisheng ; et al.
Neural Computing & Applications. Feb2023, Vol. 35 Issue 4, p3373-3393. 21p.

DEEP learning NATURAL languages SYNTAX (Grammar)
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114

Implement of Fuzzy Logic System Using Table Lookup Scheme by Java Language to Predict Time Series Data.
Kokeš, Josef ; Ba, Nghien Nguyen
International Review of Automatic Control; Nov2011, Vol. 4 Issue 6, p933-937, 5p, 6 Color Photographs, 4 Diagrams, 1 Chart

FUZZY logic NEURAL circuitry JAVA programming languag... AUTOMATIC control system... TECHNOLOGY
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115

Deep code comment generation with hybrid lexical and syntactical information.
Hu, Xing ; Li, Ge ; Xia, Xin ; et al.
Empirical Software Engineering; May2020, Vol. 25 Issue 3, p2179-2217, 39p

NATURAL language process... JAVA programming languag... DEEP learning MACHINE translating MACHINE learning
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116

Effective approaches to combining lexical and syntactical information for code summarization.
Zhou, Ziyi ; Yu, Huiqun ; Fan, Guisheng
Software: Practice & Experience; Dec2020, Vol. 50 Issue 12, p2313-2336, 24p

CONVOLUTIONAL neural net... SIGNAL convolution DEEP learning SOFTWARE maintenance COMPUTER software develo... NEURAL codes
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117

Machine Learning-Based Approach for Classifying the Source Code Using Programming Keywords.
Ifham, Mohamed ; Kumara, B. T. G. S. ; Banujan, Kuhaneswaran
IUP Journal of Information Technology; Mar2022, Vol. 18 Issue 1, p7-25, 19p

SOURCE code PRIME numbers TWO-dimensional bar code... RANDOM forest algorithms COMPUTER software develo...
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118

Convolutional neural network for image processing
Krajčovičová, Mária

omezené Bolzmanové stroj... autoencoder hopefield network autoenkoder Neuron convolutional neural net... …
Dissertation
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119

A Clinical Decision Support System of Brain Tumor Classification Using Deep Learning Based on Image Processing.
Saeedi, Soheila ; Rezayi, Sorayya ; Keshavarz, Hamidreza ; et al.
Journal of Biomedical Physics & Engineering; 2023 Supplement, Vol. 13, p13-13, 1p

DEEP learning CLINICAL decision suppor... CONVOLUTIONAL neural net... BRAIN tumors IMAGE processing DECISION support systems
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120

Aggregating expert predictions in a networked environment
Major, Raymond L. ; Ragsdale, Cliff T.
In Computers and Operations Research 2001 28(12):1231-1244

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