Jamshid Pirgazi

14 papers B 1Journal 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
An effective deep learning and graph neural network approach for accurate prediction of LncRNA-disease associations.
Biomed. Signal Process. Control.
Zahra Farrokhi, Jamshid Pirgazi, Ali Ghanbari Sorkhi
2025 J jnl
A Hybrid TLBO-XGBoost Model With Novel Labeling for Bitcoin Price Prediction.
Int. J. Intell. Syst.
Elnaz Radmand, Jamshid Pirgazi, Ali Ghanbari Sorkhi
2025 J jnl
Accurate prediction of anti-cancer drug responses using grey wolf optimization and multidimensional molecular data.
Netw. Model. Anal. Health Informatics Bioinform.
Amirehsan Mollaei, Ali Ghanbari Sorkhi, Jamshid Pirgazi
2025 J jnl
Low-light image enhancement using the illumination boost algorithm along with the SKWGIF method.
Multim. Tools Appl.
Elnaz Radmand, Erfan Saberi, Ali Ghanbari Sorkhi, Jamshid Pirgazi
2024 J jnl
A machine learning approach for trading in financial markets using dynamic threshold breakout labeling.
J. Supercomput.
Erfan Saberi, Jamshid Pirgazi, Ali Ghanbari Sorkhi
2024 J jnl
AdvanceSplice: Integrating N-gram one-hot encoding and ensemble modeling for enhanced accuracy.
Biomed. Signal Process. Control.
Mohammad Reza Rezvan, Ali Ghanbari Sorkhi, Jamshid Pirgazi, Mohammad Mehdi Pourhashem Kallehbasti
2024 J jnl
Gene regulatory network inference from gene expression data based on knowledge matrix and improved rotation forest.
Biomed. Signal Process. Control.
Marzieh Emadi, Farsad Zamani Boroujeni, Jamshid Pirgazi
2024 J jnl
Improved Fuzzy Cognitive Maps for Gene Regulatory Networks Inference Based on Time Series Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Marzieh Emadi, Farsad Zamani Boroujeni, Jamshid Pirgazi
2021 J jnl
A New Optimal Ensemble Algorithm Based on SVDD Sampling for Imbalanced Data Classification.
Int. J. Pattern Recognit. Artif. Intell.
Jamshid Pirgazi, Abbas Pirmohammadi, Reza Shams
2021 J jnl
An efficient robust method for accurate and real-time vehicle plate recognition.
J. Real Time Image Process.
Jamshid Pirgazi, Ali Ghanbari Sorkhi, Mohammad Mehdi Pourhashem Kallehbasti
2021 J jnl
Drug-target interaction prediction using unifying of graph regularized nuclear norm with bilinear factorization.
BMC Bioinform.
Ali Ghanbari Sorkhi, Zahra Abbasi, Majid Iranpour Mobarakeh, Jamshid Pirgazi
2021 J jnl
KFGRNI: A robust method to inference gene regulatory network from time-course gene data based on ensemble Kalman filter.
J. Bioinform. Comput. Biol.
Jamshid Pirgazi, Mohammad Hossein Olyaee, Ali Reza Khanteymoori
2019 J jnl
TIGRNCRN: Trustful inference of gene regulatory network using clustering and refining the network.
J. Bioinform. Comput. Biol.
Jamshid Pirgazi, Ali Reza Khanteymoori, Maryam Jalilkhani
2015 B conf
Cancer data classification using a fuzzy classifier based on bio-inspired algorithms.
FUZZ-IEEE
Jamshid Pirgazi, Ali Reza Khanteymoori, Ali Amiri
redb/extractors/enum.py
← Index redb/extractors/enum.py python 
from enum import Enum


class Tag(Enum):
    BASIC_PROPERTIES = "basic_properties"
    DIEC = "detect_it_easy"
    CAPA = "capa"
    MALCONTENT = "malcontent"
    DECOMPILED = "decompiled"
    HASH = "hash"
    STRINGS = "strings"
    RELATED = "relatedness" # unused
    PE_FEATURES = "pe_features"
    PE_IMPORT = "pe_import"
    PE_OVERLAY = "pe_overlay"
    PE_SECTION = "pe_section"
    PE_RESOURCE = "pe_resource"
    PE_SIGNATURE = "pe_signature"
    PE_CERTIFICATE = "pe_certificate"
    PE_SIGNER = "pe_signer"
    PE_DOTNET = "pe_dotnet"
    PE_EMBEDDED_EXTRAS = "pe_embedded_extras"
    PE_INCONSISTENCY_TESTS = "pe_inconsistency_tests"
    DOTNET_INCONSISTENCY_TESTS = "dotnet_inconsistency_tests"
    YARA = "yara"
    # Mach-O
    MACHO_FEATURES = "macho_features"
    MACHO_IMPORT = "macho_import"
    MACHO_EXPORT = "macho_export"
    MACHO_DYLIB = "macho_dylib"
    MACHO_SEGMENT = "macho_segment"
    MACHO_SIGNATURE = "macho_signature"
    MACHO_CERTIFICATE = "macho_certificate"
    MACHO_ENTITLEMENT = "macho_entitlement"
    MACHO_UNIVERSAL = "macho_universal"
    MACHO_HASHES = "macho_hashes"
    # ELF
    ELF_FEATURES = "elf_features"
    ELF_IMPORT = "elf_import"
    ELF_EXPORT = "elf_export"
    ELF_SECTION = "elf_section"
    ELF_SEGMENT = "elf_segment"
    ELF_SYMBOL = "elf_symbol"
    ELF_RELOCATION = "elf_relocation"
    ELF_NOTE = "elf_note"
    ELF_DEPENDENCY = "elf_dependency"
    # APK
    APK_FEATURES = "apk_features"
    APK_MANIFEST = "apk_manifest"
    APK_PERMISSIONS = "apk_permissions"
    APK_SIGNATURE = "apk_signature"
    APK_DEX = "apk_dex"
    APK_RESOURCES = "apk_resources"
    APK_NATIVE_LIBS = "apk_native_libs"
    APK_INCONSISTENCY_TESTS = "apk_inconsistency_tests"
    APK_DECOMPILED = "apk_decompiled"
    # JavaScript
    JS_FEATURES = "js_features"
    JS_SUSPICIOUS_APIS = "js_suspicious_apis"
    JS_STRINGS = "js_strings"
    JS_DEOBFUSCATION = "js_deobfuscation"
    JS_CONTENT = "js_content"