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Raja Khurram Shahzad
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2020 – today
- 2024
- [b1]Raja Khurram Shahzad:
Automated Malware Detection and Classification Using Supervised Learning. Blekinge Institute of Technology, Karlskrona, Sweden, 2024 - 2023
- [c9]Raja Khurram Shahzad
, Erik Ström
, Peter Mozelius
:
FAMS: A Formative Assessment Management System for Generating Individualised Feedback. EC-TEL 2023: 642-647
2010 – 2019
- 2018
- [c8]Raja Khurram Shahzad:
Android Malware Detection Using Feature Fusion and Artificial Data. DASC/PiCom/DataCom/CyberSciTech 2018: 702-709 - 2016
- [j2]Borong Shao, Niklas Lavesson, Veselka Boeva, Raja Khurram Shahzad:
A mixture-of-experts approach for gene regulatory network inference. Int. J. Data Min. Bioinform. 14(3): 258-275 (2016) - 2015
- [c7]Raja Khurram Shahzad, Mehwish Fatima
, Niklas Lavesson, Martin Boldt:
Consensus Decision Making in Random Forests. MOD 2015: 347-358 - 2013
- [j1]Raja Khurram Shahzad, Niklas Lavesson:
Comparative Analysis of Voting Schemes for Ensemble-based Malware Detection. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 4(1): 98-117 (2013) - 2012
- [c6]Raja Khurram Shahzad, Niklas Lavesson
:
Veto-based Malware Detection. ARES 2012: 47-54 - 2011
- [c5]Raja Khurram Shahzad, Niklas Lavesson
, Henric Johnson:
Accurate Adware Detection Using Opcode Sequence Extraction. ARES 2011: 189-195 - [c4]Atique Zafar, Sajad Ali, Raja Khurram Shahzad:
Investigating Integration Challenges and Solutions in Global Software Development. FIT 2011: 291-297 - [c3]Raja Khurram Shahzad, Niklas Lavesson:
Detecting Scareware by Mining Variable Length Instruction Sequences. ISSA 2011 - [c2]Raja Khurram Shahzad, Niklas Lavesson:
Extended Abstract: Detecting Scareware by Mining Variable Length Instruction Sequences. SCAI 2011: 195-196 - 2010
- [c1]Raja Khurram Shahzad, Syed Imran Haider, Niklas Lavesson
:
Detection of Spyware by Mining Executable Files. ARES 2010: 295-302
Coauthor Index
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last updated on 2024-04-24 23:12 CEST by the dblp team
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