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Anton Kocheturov
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2020 – today
- 2024
- [c9]Lucas Senos Coutinho, Daniel S. Menasché, Lucas Miranda, Enrico Lovat, Srivastava Gaurav Kumar, Abhishek Ramchandran, Anton Kocheturov, Tobias Limmer:
How Context Impacts Vulnerability Severity: An Analysis of Product-Specific CVSS Scores. LADC 2024: 17-27 - [c8]Carlos Eduardo De Schuller Banjar, Miguel Angelo Santos Bicudo, Lucas Miranda, Cainã Figueiredo Pereira, Lucas Senos Coutinho, Daniel Sadoc Menasché, Gaurav Kumar Srivastava, Enrico Lovat, Anton Kocheturov, Matheus Martins, Leandro Pfleger de Aguiar:
Automated Severity Driven Patch Management. LADC 2024: 179-183 - 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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