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A practical approach on clustering malicious PDF documents

Journal in computer virology, 2012-11, Vol.8 (4), p.151-163

2012

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Building a practical and reliable classifier for malware detection

Journal of computer virology and hacking techniques, 2013-11, Vol.9 (4), p.205-214

2013

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Combining Restricted Boltzmann Machine and One Side Perceptron for Malware Detection

Graph-Based Representation and Reasoning, 2014, p.93-103

2014

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Methods for Training Neural Networks with Zero False Positives for Malware Detection

2019 21st International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2019, p.230-236

2019

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A Practical Guide for Detecting the Java Script-Based Malware Using Hidden Markov Models and Linear Classifiers

2014 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2014, p.236-243

2014

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Feature Creation Using Genetic Algorithms for Zero False Positive Malware Classification

EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation VI, 2017, Vol.674, p.82-93

2017

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Performance testing framework: Evaluating the impact on the system speed

2014 Second Workshop on Anti-malware Testing Research (WATeR), 2014, p.1-6

2014

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Identifying DGA-Based Botnets Using Network Anomaly Detection

2016 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2016, p.292-299

2016

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Optimized Zero False Positives Perceptron Training for Malware Detection

2012 14th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2012, p.247-253

2012

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GPU memory leveraged for accelerated training using Tensorflow

2017 13th IEEE International Conference on Intelligent Computer Communication and Processing (ICCP), 2017, p.347-353

2017

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Feature Extraction Using Genetic Programming with Applications in Malware Detection

2015 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2015, p.224-231

2015

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Practical Optimizations for Perceptron Algorithms in Large Malware Dataset

2012 14th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2012, p.240-246

2012

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Evaluating Long-Term Outcomes in STEMI Patients with New Left Bundle Branch Block: The Impact of Modifiable Risk Factors

Journal of personalized medicine, 2024-07, Vol.14 (7), p.771

2024

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Antiphospholipid syndrome, ferritin and fever: Hyperferritinemic syndrome, a nosological ally

Revista română de reumatologie, 2023-06, Vol.32 (2), p.76-85

2023

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A practical approach on clustering malicious PDF documents

Building a practical and reliable classifier for malware detection

Combining Restricted Boltzmann Machine and One Side Perceptron for Malware Detection

Methods for Training Neural Networks with Zero False Positives for Malware Detection

A Practical Guide for Detecting the Java Script-Based Malware Using Hidden Markov Models and Linear Classifiers

Feature Creation Using Genetic Algorithms for Zero False Positive Malware Classification

Performance testing framework: Evaluating the impact on the system speed

Identifying DGA-Based Botnets Using Network Anomaly Detection

Optimized Zero False Positives Perceptron Training for Malware Detection

GPU memory leveraged for accelerated training using Tensorflow

Feature Extraction Using Genetic Programming with Applications in Malware Detection

Practical Optimizations for Perceptron Algorithms in Large Malware Dataset

Evaluating Long-Term Outcomes in STEMI Patients with New Left Bundle Branch Block: The Impact of Modifiable Risk Factors

Antiphospholipid syndrome, ferritin and fever: Hyperferritinemic syndrome, a nosological ally

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