Data Science for Massive Networks. - Anton Kocheturov; Panos M. Pardalos (RuSSIR, 2015)

Massive datasets and machine learning for computational biomedicine: trends and challenges. - Anton Kocheturov; Panos M. Pardalos; Athanasia Karakitsiou (Ann. Oper. Res., 2019)

Preface: Computational biomedicine. - Anton Kocheturov; Panos M. Pardalos; George Michailidis (Ann. Oper. Res., 2019)

Extended vertical lists for temporal pattern mining from multivariate time series. - Anton Kocheturov; Petar Momcilovic; Azra Bihorac; Panos M. Pardalos (Expert Syst. J. Knowl. Eng., 2019)

Kronos: Lightweight Knowledge-based Event Analysis in Cyber-Physical Data Streams. - Mohammad Hossein Namaki; Xin Zhang; Sukhjinder Singh; Arman Ahmed; Armina Foroutan; Yinghui Wu 001; Anurag K. Srivastava 001; Anton Kocheturov (ICDE, 2020)

Deep Reinforcement Learning for DER Cyber-Attack Mitigation. - Ciaran M. Roberts; Sy-Toan Ngo; Alexandre Milesi; Sean Peisert; Daniel B. Arnold; Shammya Saha; Anna Scaglione; Nathan G. Johnson; Anton Kocheturov; Dmitriy Fradkin (SmartGridComm, 2020)

NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification. - Julian Busch; Anton Kocheturov; Volker Tresp; Thomas Seidl 001 (SSDBM, 2021)

Patch or Exploit? NVD Assisted Classification of Vulnerability-Related GitHub Pages. - Lucas Miranda 001; Cainã Figueiredo; Daniel Sadoc Menasché; Anton Kocheturov (CSCML, 2023)

Cream Skimming the Underground: Identifying Relevant Information Points from Online Forums. - Felipe Moreno Vera; Mateus Schulz Nogueira; Cainã Figueiredo; Daniel S. Menasché; Miguel Angelo Bicudo; Ashton Woiwood; Enrico Lovat; Anton Kocheturov; Leandro Pfleger de Aguiar (CSR, 2023)

CFG2VEC: Hierarchical Graph Neural Network for Cross-Architectural Software Reverse Engineering. - Shih-Yuan Yu; Yonatan Gizachew Achamyeleh; Chonghan Wang; Anton Kocheturov; Patrick Eisen; Mohammad Abdullah Al Faruque (ICSE-SEIP, 2023)

A Statistical Approach to Severity Aware Vulnerability Prioritization. - Miguel Angelo Bicudo; Cainã Figueiredo Pereira; Lucas Miranda 001; Lucas Senos; Carlos Eduardo De Schuller Banjar; Daniel Sadoc Menasché; Gaurav Kumar Srivastava; Enrico Lovat; Anton Kocheturov; Matheus Martins; Leandro Pfleger de Aguiar (CloudNet, 2024)

Learning CNA-Oriented CVSS Scores. - Lucas Miranda 001; Lucas Senos; Daniel S. Menasché; Gaurav Kumar Srivastava; Anton Kocheturov; Abhishek Ramchandran; Enrico Lovat; Tobias Limmer (CloudNet, 2024)

Automated Severity Driven Patch Management. - Carlos Eduardo De Schuller Banjar; Miguel Angelo Santos Bicudo; Lucas Miranda 001; Cainã Figueiredo Pereira; Lucas Senos Coutinho; Daniel Sadoc Menasché; Gaurav Kumar Srivastava; Enrico Lovat; Anton Kocheturov; Matheus Martins; Leandro Pfleger de Aguiar (LADC, 2024)

How Context Impacts Vulnerability Severity: An Analysis of Product-Specific CVSS Scores. - Lucas Senos Coutinho; Daniel S. Menasché; Lucas Miranda 001; Enrico Lovat; Srivastava Gaurav Kumar; Abhishek Ramchandran; Anton Kocheturov; Tobias Limmer (LADC, 2024)

Classification of Software Vulnerability Artifacts Using Public Internet Data. - Leonardo Ambrus de Lima; Estevão Rabello Ussler; Miguel Angelo Santos Bicudo; Daniel Sadoc Menasché; Anton Kocheturov; Gaurav Kumar Srivastava (CSR, 2025)

A Product-Oriented Assessment of Vulnerability Severity Through NVD CVSS Scores. - Lucas Miranda 001; Lucas Senos; Daniel S. Menasché; Gaurav Kumar Srivastava; Anton Kocheturov; Enrico Lovat; Abhishek Ramchandran; Tobias Limmer (ICNC, 2025)