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An Empirical Evaluation of Automated Machine Learning Techniques for Malware Detection

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.artmed.2020.101822openalex-snapshot

Automated machine learning: Review of the state-of-the-art and opportunities for healthcare

inferredcites →https://doi.org/10.1109/globecom42002.2020.9322377openalex-snapshot

Enhancing Robustness of Malware Detection using Synthetically-Adversarial Samples

inferredcites →https://doi.org/10.1109/icce-china.2017.7991112openalex-snapshot

Automated machine learning for Internet of Things

inferredcites →https://doi.org/10.1109/ijcnn.2015.7280815openalex-snapshot

DeepSign: Deep learning for automatic malware signature generation and classification

inferredcites →https://doi.org/10.1109/imcsit.2009.5352759openalex-snapshot

Malware detection using machine learning

inferredcites →https://doi.org/10.1109/tnn.2006.886917openalex-snapshot

2007 International Joint Conference on Neural Networks (IJCNN 2007)

inferredcites →https://doi.org/10.1145/2988450.2988454openalex-snapshot

Wide & Deep Learning for Recommender Systems

inferredcites →https://doi.org/10.1145/3427228.3427242openalex-snapshot

Advanced Windows Methods on Malware Detection and Classification

inferredcites →https://doi.org/10.1145/3477997.3478011openalex-snapshot

Program Behavior Analysis and Clustering using Performance Counters

inferredcites →https://doi.org/10.1631/fitee.1601325openalex-snapshot

Automatic malware classification and new malware detection using machine learning

inferredcites →https://doi.org/10.3390/info11020108openalex-snapshot

Fastai: A Layered API for Deep Learning

inferredcites →https://doi.org/10.48550/arxiv.1604.06737openalex-snapshot

Entity Embeddings of Categorical Variables

inferredcites →https://doi.org/10.48550/arxiv.2003.06505openalex-snapshot

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4197678openalex-extracted

Evaluation and Survey of State of the Art Malware Detection and Classification Techniques: Analysis and Recommendation

inferred← citeshttps://doi.org/10.1002/hyp.14571openalex-snapshot

An automated machine learning methodology for the improved prediction of reference evapotranspiration using minimal input parameters

inferred← citeshttps://doi.org/10.1007/978-3-031-33488-7_19openalex-snapshot

Fast and Efficient Malware Detection with Joint Static and Dynamic Features Through Transfer Learning

inferred← citeshttps://doi.org/10.1016/j.engappai.2022.105366openalex-snapshot

IoT data analytics in dynamic environments: From an automated machine learning perspective

inferred← citeshttps://doi.org/10.1016/j.jss.2023.111921openalex-snapshot

A systematic literature review on Windows malware detection: Techniques, research issues, and future directions

inferred← citeshttps://doi.org/10.1109/icbdse65491.2025.11220022openalex-snapshot

Research on Network Intrusion Detection based on Automatic Machine Learning

inferred← citeshttps://doi.org/10.1109/icdmw60847.2023.00170openalex-snapshot

PROTEUS: Domain Adaptation for Dynamic Features in AI-assisted Windows Malware Detection

inferred← citeshttps://doi.org/10.1109/isac364032.2025.11156575openalex-snapshot

Efficient Malware Detection with Optimized Learning on High-Dimensional Features

inferred← citeshttps://doi.org/10.1109/saci55618.2022.9919602openalex-snapshot

Towards malware detection based on performance counters using deep learning classification models

inferred← citeshttps://doi.org/10.1186/s42400-026-00600-8openalex-snapshot

Improving robustness and explainability of PE malware classifiers using GAN-Generated Synthetic Adversarial examples

inferred← citeshttps://doi.org/10.33411/ijist/2022040320openalex-snapshot

Computer Malware Classification, Factors, and Detection Techniques: A Systematic Literature Review (SLR)

inferred← citeshttps://doi.org/10.3390/agronomy14051028openalex-snapshot

Analysis of the Effects of Population Structure and Environmental Factors on Rice Nitrogen Nutrition Index and Yield Based on Machine Learning

inferred← citeshttps://doi.org/10.3390/computers12100195openalex-snapshot

Rapidrift: Elementary Techniques to Improve Machine Learning-Based Malware Detection

inferred← citeshttps://doi.org/10.37394/23203.2026.21.30openalex-snapshot

Malware Detection by Machine Learning based on the LightGBM Model

inferred← citeshttps://doi.org/10.52846/stccj.2022.2.2.42openalex-snapshot

Harnessing performance counters to detect malware using deep learning models

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