Nahla H. Barakat

16 papers B 1C 1Journal 5Unranked 8
YearRankTypeTitle / Venue / Authors
2025 C conf
Unravelling the Sequential Patterns of Cyber Attacks: A Temporal Analysis of Attack Dependencies.
IoTBDS
Fares Ashraf ElSalamony, Nahla H. Barakat, Ahmad Mostafa
2024 — conf
AdaptVR: An Adaptive Learning VR System for Dental Students Training.
ICCA
Meriam Sherif, Nahla H. Barakat, Abeer Hamdy
2023 — conf
Adaptive Learning and Virtual Reality based Conceptual Framework for Dental Training.
ICCA
Meriam Sherif, Nahla H. Barakat, Abeer Hamdy
2023 — conf
Data and Model Centric Approaches for Card Fraud Detection.
ICCA
Sara Farag, Nahla H. Barakat
2022 J jnl
From Similarities to Probabilities: Feature Engineering for Predicting Drugs' Adverse Reactions.
Intell. Autom. Soft Comput.
Nahla H. Barakat, Ahmed H. Elsabbagh
2019 — conf
A Framework for integrating software design patterns with game design framework.
ICSIE
Nahla H. Barakat
2018 — conf
Intelligent Alarm System to Protect Small, Valuable Items.
ICCA
Ahmed El Kashef, Nahla H. Barakat
2017 J jnl
Cascade Generalization: One versus Many.
J. Comput.
Nahla H. Barakat
2016 — conf
Diagnosis of Metabolic Syndrome: A Diversity Based Hybrid Model.
MLDM
Nahla H. Barakat
2010 B conf
Cascade generalization: Is SVMs' inductive bias useful?
SMC
Nahla H. Barakat
2010 J jnl
Intelligible support vector machines for diagnosis of diabetes mellitus.
IEEE Trans. Inf. Technol. Biomed.
Nahla H. Barakat, Andrew P. Bradley, Mohamed Nabil H. Barakat
2010 J jnl
Rule extraction from support vector machines: A review.
Neurocomputing
Nahla H. Barakat, Andrew P. Bradley
2009 — conf
The Effect of Domain Knowledge on Rule Extraction from Support Vector Machines.
MLDM
Nahla H. Barakat, Andrew P. Bradley
2007 J jnl
Rule Extraction from Support Vector Machines: A Sequential Covering Approach.
IEEE Trans. Knowl. Data Eng.
Nahla H. Barakat, Andrew P. Bradley
2007 — —
Rule-extraction from support vector machines: medical diagnosis, prediction and explanation
Nahla H. Barakat
2006 — conf
Rule Extraction from Support Vector Machines: Measuring the Explanation Capability Using the Area under the ROC Curve.
ICPR (2)
Nahla H. Barakat, Andrew P. Bradley
requirements.txt
← Index requirements.txt plaintext 
asn1crypto==1.5.1
dotnetfile==0.2.4
elasticsearch==8.15.0
magika==1.0.1
modules==1.0.0
pefile==2023.2.7
py7zr==0.22.0
python-magic==0.4.27
pyzipper==0.3.6
py-tlsh==4.7.2
bitstring==4.2.3
Pillow==10.4.0
setuptools==75.1.0
ppdeep==20200505
cryptography==43.0.3
flare-floss==3.1.1
#stringsifter==3.20230711
signify==0.7.1
yara-x==1.9.0
xxhash==3.6.0
git+https://github.com/wbond/oscrypto.git@1547f535001ba568b239b8797465536759c742a3
pycryptodomex==3.20.0
redis==6.4.0
clickhouse-connect==0.8.13
minio==7.2.15
requests==2.33.1
pyelftools==0.32
python-dotenv
psutil
numpy
mmh3
blake3
machofile==2026.02.10
lief==0.17.3
androguard>=4.1
permhash
jsbeautifier>=1.14.0
chardet==7.4.1
pyjsparser>=2.7.1

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