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2010 – 2019
- 2019
[c9]Dan-Georgian Marculet, Razvan Benchea, Dragos Teodor Gavrilut:
Methods for Training Neural Networks with Zero False Positives for Malware Detection. SYNASC 2019: 230-236- 2017
- [c8]Dan-Georgian Marculet, Dragos Teodor Gavrilut, Razvan Benchea:
GPU memory leveraged for accelerated training using Tensorflow. ICCP 2017: 347-353 - 2016
- [c7]Dragos Teodor Gavrilut, George Popoiu, Razvan Benchea:
Identifying DGA-Based Botnets Using Network Anomaly Detection. SYNASC 2016: 292-299 - 2015
- [c6]Razvan Benchea, Dragos Gavrilut, Henri Luchian:
Feature Creation Using Genetic Algorithms for Zero False Positive Malware Classification. EVOLVE 2015: 82-93 - [c5]Cristina Vatamanu, Dragos Gavrilut, Razvan Benchea, Henri Luchian:
Feature Extraction Using Genetic Programming with Applications in Malware Detection. SYNASC 2015: 224-231 - 2014
- [c4]Razvan Benchea, Dragos Teodor Gavrilut:
Combining Restricted Boltzmann Machine and One Side Perceptron for Malware Detection. ICCS 2014: 93-103 - [c3]Doina Cosovan, Razvan Benchea, Dragos Gavrilut:
A Practical Guide for Detecting the Java Script-Based Malware Using Hidden Markov Models and Linear Classifiers. SYNASC 2014: 236-243 - 2013
- [j2]Cristina Vatamanu, Dragos Gavrilut, Razvan-Mihai Benchea:
Building a practical and reliable classifier for malware detection. J. Comput. Virol. Hacking Tech. 9(4): 205-214 (2013) - 2012
- [j1]Cristina Vatamanu, Dragos Gavrilut, Razvan Benchea:
A practical approach on clustering malicious PDF documents. J. Comput. Virol. 8(4): 151-163 (2012) - [c2]Dragos Gavrilut, Razvan Benchea, Cristina Vatamanu:
Practical Optimizations for Perceptron Algorithms in Large Malware Dataset. SYNASC 2012: 240-246 - [c1]Dragos Gavrilut, Razvan Benchea, Cristina Vatamanu:
Optimized Zero False Positives Perceptron Training for Malware Detection. SYNASC 2012: 247-253
Coauthor Index
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