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One-Class SVM with Privileged Information and its Application to Malware
  Detection
v1v2 (latest)

One-Class SVM with Privileged Information and its Application to Malware Detection

26 September 2016
Evgeny Burnaev
Dmitry Smolyakov
ArXiv (abs)PDFHTML

Papers citing "One-Class SVM with Privileged Information and its Application to Malware Detection"

12 / 12 papers shown
MDENet: Multi-modal Dual-embedding Networks for Malware Open-set
  Recognition
MDENet: Multi-modal Dual-embedding Networks for Malware Open-set Recognition
Jingcai Guo
Yuanyuan Xu
Wenchao Xu
Yufeng Zhan
Yuxia Sun
Song Guo
236
12
0
02 May 2023
CNS-Net: Conservative Novelty Synthesizing Network for Malware
  Recognition in an Open-set Scenario
CNS-Net: Conservative Novelty Synthesizing Network for Malware Recognition in an Open-set ScenarioIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Jingcai Guo
Song Guo
Shiheng Ma
Yuxia Sun
Yuanyuan Xu
AAML
276
30
0
02 May 2023
NBcoded: network attack classifiers based on Encoder and Naive Bayes
  model for resource limited devices
NBcoded: network attack classifiers based on Encoder and Naive Bayes model for resource limited devices
Lander Segurola-Gil
Francesco Zola
Xabier Echeberria-Barrio
Raul Orduna Urrutia
AAML
78
4
0
15 Sep 2021
Rare Failure Prediction via Event Matching for Aerospace Applications
Rare Failure Prediction via Event Matching for Aerospace ApplicationsInternational Conference on Informative and Cybernetics for Computational Social Systems (ICCSS), 2019
Evgeny Burnaev
124
7
0
28 May 2019
Usage of multiple RTL features for Earthquake prediction
Usage of multiple RTL features for Earthquake predictionCommunication Systems and Applications (CSA), 2019
P. Proskura
A. Zaytsev
I. Braslavsky
Evgenii Egorov
Evgeny Burnaev
162
7
0
26 May 2019
Learning Ensembles of Anomaly Detectors on Synthetic Data
Learning Ensembles of Anomaly Detectors on Synthetic DataInternational Symposium on Neural Networks (ISNN), 2019
Dmitry Smolyakov
N. Sviridenko
Vladislav Ishimtsev
Evgeny Burikov
Eugeny Burnaev
146
13
0
20 May 2019
OCKELM+: Kernel Extreme Learning Machine based One-class Classification
  using Privileged Information (or KOC+: Kernel Ridge Regression or Least
  Square SVM with zero bias based One-class Classification using Privileged
  Information)
OCKELM+: Kernel Extreme Learning Machine based One-class Classification using Privileged Information (or KOC+: Kernel Ridge Regression or Least Square SVM with zero bias based One-class Classification using Privileged Information)
C. Gautam
Aruna Tiwari
M. Tanveer
70
3
0
13 Apr 2019
A Generalized Meta-loss function for regression and classification using
  privileged information
A Generalized Meta-loss function for regression and classification using privileged information
Amina Asif
Muhammad Dawood
F. Minhas
139
0
0
16 Nov 2018
Incorporating Privileged Information to Unsupervised Anomaly Detection
Incorporating Privileged Information to Unsupervised Anomaly Detection
Shubhranshu Shekhar
Leman Akoglu
137
6
0
06 May 2018
Machine Learning pipeline for discovering neuroimaging-based biomarkers
  in neurology and psychiatry
Machine Learning pipeline for discovering neuroimaging-based biomarkers in neurology and psychiatry
A. Bernstein
Evgeny Burnaev
E. Kondratyeva
Svetlana Sushchinskaya
M. Sharaev
Alexander Andreev
Alexey Artemov
R. Akzhigitov
155
2
0
26 Apr 2018
Microsoft Malware Classification Challenge
Microsoft Malware Classification Challenge
Royi Ronen
Marian Radu
Corina Feuerstein
E. Yom-Tov
Mansour Ahmadi
283
410
0
22 Feb 2018
Inductive Conformal Martingales for Change-Point Detection
Inductive Conformal Martingales for Change-Point DetectionInternational Symposium on Conformal and Probabilistic Prediction with Applications (ISCPPA), 2017
Denis Volkhonskiy
I. Nouretdinov
A. Gammerman
V. Vovk
Evgeny Burnaev
238
58
0
11 Jun 2017
1
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