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2020 – today
- 2023
[c7]Lucas Miranda, Cainã Figueiredo, Daniel Sadoc Menasché, Anton Kocheturov:
Patch or Exploit? NVD Assisted Classification of Vulnerability-Related GitHub Pages. CSCML 2023: 511-522- [c6]Felipe Moreno Vera
, Mateus Schulz Nogueira, Cainã Figueiredo, Daniel S. Menasché, Miguel Angelo Bicudo, Ashton Woiwood, Enrico Lovat, Anton Kocheturov, Leandro Pfleger de Aguiar:
Cream Skimming the Underground: Identifying Relevant Information Points from Online Forums. CSR 2023: 66-71 - [c5]Shih-Yuan Yu, Yonatan Gizachew Achamyeleh, Chonghan Wang, Anton Kocheturov, Patrick Eisen, Mohammad Abdullah Al Faruque:
CFG2VEC: Hierarchical Graph Neural Network for Cross-Architectural Software Reverse Engineering. ICSE-SEIP 2023: 281-291 - [i5]Shih-Yuan Yu, Yonatan Gizachew Achamyeleh, Chonghan Wang, Anton Kocheturov, Patrick Eisen, Mohammad Abdullah Al Faruque:
CFG2VEC: Hierarchical Graph Neural Network for Cross-Architectural Software Reverse Engineering. CoRR abs/2301.02723 (2023) - [i4]Felipe Moreno Vera, Mateus Schulz Nogueira, Cainã Figueiredo, Daniel Sadoc Menasché, Miguel Angelo Bicudo, Ashton Woiwood, Enrico Lovat, Anton Kocheturov, Leandro Pfleger de Aguiar:
Cream Skimming the Underground: Identifying Relevant Information Points from Online Forums. CoRR abs/2308.02581 (2023) - 2021
- [c4]Julian Busch, Anton Kocheturov, Volker Tresp, Thomas Seidl:
NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification. SSDBM 2021: 121-132 - [i3]Julian Busch, Anton Kocheturov, Volker Tresp, Thomas Seidl:
NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification. CoRR abs/2103.03939 (2021) - 2020
- [c3]Mohammad Hossein Namaki, Xin Zhang, Sukhjinder Singh, Arman Ahmed, Armina Foroutan, Yinghui Wu, Anurag K. Srivastava, Anton Kocheturov:
Kronos: Lightweight Knowledge-based Event Analysis in Cyber-Physical Data Streams. ICDE 2020: 1766-1769 - [c2]Ciaran M. Roberts, Sy-Toan Ngo, Alexandre Milesi, Sean Peisert, Daniel B. Arnold, Shammya Saha, Anna Scaglione, Nathan G. Johnson, Anton Kocheturov, Dmitriy Fradkin:
Deep Reinforcement Learning for DER Cyber-Attack Mitigation. SmartGridComm 2020: 1-7 - [i2]Ciaran M. Roberts, Sy-Toan Ngo, Alexandre Milesi, Sean Peisert, Daniel B. Arnold, Shammya Saha, Anna Scaglione, Nathan G. Johnson, Anton Kocheturov, Dmitriy Fradkin:
Deep Reinforcement Learning for DER Cyber-Attack Mitigation. CoRR abs/2009.13088 (2020)
2010 – 2019
- 2019
- [j3]Anton Kocheturov, Panos M. Pardalos, George Michailidis:
Preface: Computational biomedicine. Ann. Oper. Res. 276(1-2): 1-3 (2019) - [j2]Anton Kocheturov, Panos M. Pardalos, Athanasia Karakitsiou:
Massive datasets and machine learning for computational biomedicine: trends and challenges. Ann. Oper. Res. 276(1-2): 5-34 (2019) - [j1]Anton Kocheturov, Petar Momcilovic, Azra Bihorac, Panos M. Pardalos:
Extended vertical lists for temporal pattern mining from multivariate time series. Expert Syst. J. Knowl. Eng. 36(5) (2019) - 2018
- [i1]Anton Kocheturov, Petar Momcilovic, Azra Bihorac, Panos M. Pardalos:
Extended Vertical Lists for Temporal Pattern Mining from Multivariate Time Series. CoRR abs/1804.10025 (2018) - 2015
- [c1]Anton Kocheturov, Panos M. Pardalos:
Data Science for Massive Networks. RuSSIR 2015: 88-100
Coauthor Index
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